ArticlePDF Available

Abstract and Figures

We studied the neural mechanisms that are engaged during the experience of beauty derived from sorrow and from joy, two experiences that share a common denominator (beauty) but are linked to opposite emotional valences. Twenty subjects viewed and rerated, in a functional magnetic resonance imaging scanner, 120 images which each had classified into the following four categories: beautiful and sad; beautiful and joyful; neutral; ugly. The medial orbito-frontal cortex (mOFC) was active during the experience of both types of beauty. Otherwise, the two experiences engaged different parts of the brain: joyful beauty engaged areas linked to positive emotions while sorrowful beauty engaged areas linked to negative experiences. Separate regions of the cerebellum were engaged during experience of the two conditions. A functional connectivity analysis indicated that the activity within the mOFC was modulated by the supplementary motor area/middle cingulate cortex, known to be engaged during empathetic experiences provoked by other peoples' sadness. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc.
Content may be subject to copyright.
The Experience of Beauty Derived from Sorrow
Tomohiro Ishizu
1,2
*and Semir Zeki
1
*
1
Wellcome Laboratory of Neurobiology, Department of Cell and Developmental Biology,
University College London, London, United Kingdom
2
Japan Society for the Promotion of Science, Tokyo, Japan
r r
Abstract: We studied the neural mechanisms that are engaged during the experience of beauty derived
from sorrow and from joy, two experiences that share a common denominator (beauty) but are linked
to opposite emotional valences. Twenty subjects viewed and rerated, in a functional magnetic reso-
nance imaging scanner, 120 images which each had classified into the following four categories: beauti-
ful and sad; beautiful and joyful; neutral; ugly. The medial orbito-frontal cortex (mOFC) was active
during the experience of both types of beauty. Otherwise, the two experiences engaged different parts
of the brain: joyful beauty engaged areas linked to positive emotions while sorrowful beauty engaged
areas linked to negative experiences. Separate regions of the cerebellum were engaged during experi-
ence of the two conditions. A functional connectivity analysis indicated that the activity within the
mOFC was modulated by the supplementary motor area/middle cingulate cortex, known to be
engaged during empathetic experiences provoked by other peoples’ sadness. Hum Brain Mapp 38:4185–
4200, 2017.V
C2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
Key words: aesthetic experience; emotion; functional magnetic resonance imaging
r r
You came to me to learn the Pleasure of Life and the Pleasure of
Art. Perhaps I was chosen to teach you something much more
wonderful, the meaning of Sorrow, and its beauty
Oscar Wilde (1896),
(in a letter to ‘Bosie’, Lord Alfred Douglas)
INTRODUCTION
Over the past few years, we and others have addressed
the question of what neural mechanisms are engaged dur-
ing aesthetic experiences, and especially during the experi-
ence of beauty. In addressing the question, we were
inspired by the question posed by the English art critic,
Clive Bell. In his book Art [1914], Bell asked whether there
is anything common to all objects that are experienced as
beautiful or that arouse the aesthetic emotion. Translating
this into neural terms we, likewise, sought to understand
whether there is a common brain system in which activity
correlates with the experience of beauty. Surprising though
it may seem, although the experience of beauty derived
from different sources entails activity in different areas of
the brain, depending upon the source, there is one com-
mon area, located in the medial orbito-frontal cortex
(mOFC) of the emotional brain, in which activity correlates
parametrically with the experience of beauty, whether
derived from sensory sources such as music or visual art
[e.g., Ishizu and Zeki, 2011; Kawabata and Zeki, 2004],
from moral sources [Tsukiura and Cabeza, 2011; Wang
et al., 2015] or from highly cognitive sources such as
Additional Supporting Information may be found in the online
version of this article.
Contract grant sponsor: Wellcome Trust, London.
Tomohiro Ishizu is currently at Department of Basic Psychological
Research and Research Methods, University of Vienna
(tomohiro.ishizu@univie.ac.at).
*Correspondence to: Tomohiro Ishizu, Gower Street, London,
WC1E 6BT, United Kingdom. E-mail: t.ishizu@ucl.ac.uk or Semir
Zeki, Gower Street, London, WC1E 6BT, United Kingdom. E-mail:
s.zeki@ucl.ac.uk
Received for publication 10 August 2016; Revised 3 May 2017;
Accepted 11 May 2017.
DOI: 10.1002/hbm.23657
Published online 23 May 2017 in Wiley Online Library (wileyonli-
nelibrary.com).
rHuman Brain Mapping 38:4185–4200 (2017) r
V
C2017 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and
reproduction in any medium, provided the original work is properly cited.
mathematics [Zeki et al., 2014]. In the work reported here,
we were inspired by the quote from Oscar Wilde given
above, to explore the neural activity that correlates with
the experience of beauty derived from sorrow. The quote
implies that sorrowful beauty belongs in a separate, or
separable, category, which can be defined as the experi-
ence of a positive (aesthetic) emotion with a negative com-
ponent, that of sadness. To study the neural correlate of
such an experience, we had to incorporate another distinct
category—that of beauty aroused from joy, which can be
categorised as a positive emotion with a positive compo-
nent—for comparison.
Important though the distinction between sorrowful and
joyful beauty is, it is one that is not often made, or not
made emphatically enough. This is surprising because the
distinction is easily recognized and experienced by most,
even if both categories arouse the aesthetic emotion. In
sculpture, for example, Michelangelo’s great Piet
ain Rome
is suffused with pathos, tenderness and sadness, whereas
the Three Graces of Canova are joyful and playful. In
music, the waltzes of Johann Strauss are light-hearted and
engaging while the adagio from Beethoven’s Ninth Sym-
phony is permeated with contemplative sorrow. The list is
endless and includes works in literature, poetry, dance,
and theatre. Photography, especially, has provided many
examples that can be easily classified emotionally by any
viewer as sorrowful or joyful, with beauty as their com-
mon denominator; good examples are Dorothea Lange’s
iconic images of the Great Depression, and especially The
Migrant Mother, on the one hand and Bill Brandt’s East
End Girl Dancing on the other. Aside from beauty, these
two separate categories share another common denomina-
tor, empathy, which makes it possible for humans to
become aware of the feelings of others and indeed experi-
ence those same feelings—whether of joy or sorrow—to
varying degrees.
It seemed to us that this distinction provides fertile
ground for a neurobiological enquiry into the brain mecha-
nisms that are engaged when two contrasting affective
states, a negative one (sorrow) and a positive one (joy)
both result in the experience of beauty. This enquiry paral-
lels, in a sense, our previous enquiry into the distinction,
in neural terms, between the sublime and the beautiful,
two categories that have been discussed much more exten-
sively in philosophies of aesthetics. The common descrip-
tion of the sublime as containing a negative affect
(‘pleasure from displeasure’ or ‘beauty mingled with hor-
ror’) is reflected in a pattern of brain activity that is differ-
ent from that which is engaged during the experience of
the beautiful [Ishizu and Zeki, 2014]. This made it interest-
ing to enquire whether we can also detect differences in
the pattern of brain activity during aesthetic experiences
derived from two opposite states. Our general hypothesis
was that there would be profound differences with the
two experiences but that, given the pre-eminence of activ-
ity in the mOFC during the experience of the beautiful,
the latter would be active in both states, even in spite of
the evident differences between the two. Moreover, since
experiencing beauty derived from positively or negatively
valenced emotion inevitably requires mentalizing others’
emotional states or interpreting their intentions, empathy
is another common denominator to the experience of
beauty in sorrowful and joyful sources. We, thus, expected
to find activity in brain regions which past studies have
implicated in empathetic experiences.
MATERIALS AND METHODS
Participants
Twenty one healthy right-handed volunteers (11
females; 10 males; mean age, 28.6 years) from different
cultures and ethnic backgrounds (2 Taiwanese, 4 Indian, 6
Japanese, 2 Middle Eastern, and 7 West and North Euro-
peans) participated but data from one volunteer was
excluded because of excessive noise during scanning, leav-
ing us with 20 volunteers; all had normal or corrected-to-
normal vision, and none had a history of neurological or
psychiatric disorder. Written informed consent was
obtained from all and the study was approved by the
Ethics Committee of University College London, and con-
formed to the Code of Ethics of the World Medical Associ-
ation (Declaration of Helsinki). All data were anonymized.
Preliminary Psychophysical Testing and
Postscanning Ratings
Although pictures depicting war scenes, weapons, vio-
lence or strong political, and religious attributes may often
be deemed sorrowful or beautiful, we excluded them from
this study because it is known that viewing scenes depict-
ing violence, or which remind viewers of violence, can
induce immediate brain responses, such as activity within
frontal and limbic system, even when viewed passively
(e.g., Kelly et al., 2007]; we wanted to exclude such auto-
matic brain responses which are unrelated to the current
task. We, therefore, used instead pictures of events like
funerals, abandoned children and buildings, and sad faces,
as well as landscapes and daily scenes, in both mono-
chrome and in color. The 800 pictures that we used were
drawn from photographic magazines and books, including
The Family of Man (in which the photographs referred to in
the Introduction can be found), The Modern Century, and
The Great LIFE Photographers.
During a first visit to the laboratory, between 3 and 7
days prior to scanning, each subject was instructed about
the experiment and, in a psychophysical test, rated the
stimuli according to their aesthetic and emotional valence
through two questionnaires. In the aesthetic evaluation,
participants classified a picture into five groups according
to the intensity of the aesthetic experience aroused in
them, using a Likert scale extending from 5 (‘very
rIshizu and Zeki r
r4186 r
beautiful’) to 1 (very ugly), with 3 being ‘neutral’; in the
emotional evaluation, 5 corresponded to ‘very joyful’, 3 to
‘neutral’, and 1 to ‘very sorrowful’. Thus, we obtained, for
each subject, an emotional and an aesthetic rating for each
of the 800 stimuli. Participants gave the aesthetic and the
emotional ratings in counterbalanced order. It should be
noted that they were instructed to give emotional ratings
according to the feelings that they experienced when view-
ing the images, not to those of what people in the images
might feel.
Each stimulus remained on the computer screen until
participants responded to the second evaluation, after
which an inter-trial interval of 1 s followed; they were
then asked to press a button as soon as possible after they
had made their evaluation and were also asked to indicate
their familiarity with each picture (‘have you seen this pic-
ture before?’) and familiar pictures were excluded.
From these 800 rated pictures, we selected, for each sub-
ject, 120 which fell into the four categories of ‘sorrowful
beauty’, ‘joyful beauty’, ‘neutral’, and ‘ugly’. Pictures fall-
ing into the sorrowful beauty category were the ones that
had been given a rating of 1 on the emotional score and 5
on the aesthetic score; pictures falling into the joyful
beauty category had a rating of 5 on the emotional scale
and 5 on the aesthetic scale while those rated as neutral
had 3 on both scales. Stimuli rated as ugly had a score of
3 (neutral) for the emotional rating and 1 for the aesthetic
score (see Fig. 1). Each of the four categories had 30 stim-
uli, making a total of 120 stimuli which each participant
viewed in the scanner. We excluded five participants out
of twenty-six after the preliminary psychophysical tests
showed that they did not have sufficient trials for each of
the four categories. The detailed behavioral data obtained
in the preliminary psychophysics are found in Supporting
Information.
During the scanning session, participants were asked to
rerate each picture aesthetically, after viewing it, but this
time on a scale of 3 to 1 (beautiful, neutral, ugly). Immedi-
ately after scanning, they rerated the stimuli (which were
presented in the same order as in the scanner) for their
emotional valence, using a 3-point Likert scale (3 as joyful,
2 as neutral, 1 as sorrowful).
Paradigm and Procedure
Stimuli were generated using Cogent 2000 (http://
www.vislab.ucl.ac.uk/cogent_2000.php) running in MAT-
LAB (MathWorks, Natick, MA); they were back-projected
onto a screen using an LCD projector, through an angled
mirror. The resolution of the screen was 1,400 31,050 pix-
els; the height of each stimulus was 198while the width
varied.
The session began with subjects viewing a flat black
screen for 20 s to allow for T1 equilibration effects to sub-
side (the corresponding first six brain volumes were dis-
carded). After this 20 s blank period, an instruction about
the aesthetic judgment appeared on the screen, to inform
participants that a session had started. A fixation point
then appeared at the centre of the screen for 1 s against a
black background, after which visual stimuli were pre-
sented in a pseudorandom order for 6 s. We had 30
images in each of the four experimental conditions, mak-
ing 120 images in total. We had six functional scanning
sessions for each subject. Each functional session had 20
trials. To make a set of 20 images, we selected 5 images
randomly out of 30 from each of the experimental condi-
tions so that each condition had the same number of trials
through a functional session. After this procedure, we ran-
domized the sequence of stimulus presentation within a
functional scanning. The stimulus presentation was fol-
lowed by an interval with a jitter of 5–7 s, during which
participants gave their aesthetic ratings.
Following each stimulus presentation, participants were
asked to rate it on a 3-point Likert scale, by pressing one
of three buttons with their right index, middle or ring fin-
ger. The response period lasted 5–7 s and participants
could make their rating at any time during that period; it
ended with a blank period of 20 s, during which the scan-
ner continued to acquire blood-oxygen-level dependent
(BOLD) signals. The stimuli were presented in six sessions.
Each session consisted of 20 stimuli with a 20 s resting
period between the first and the last 10 trials during which
participants were instructed not to close their eyes. Prior
Figure 1.
Preliminary behavioral data summed over 20 subjects. Frequency
distribution of beauty rating (xaxis) versus emotion rating (y
axis). Size of each circle is proportional to the number of trials
for that rating.
rExperience of Sorrowful Beauty r
r4187 r
to the scanning, participants had a short practice session
with a different set of visual stimuli to those used in the
scanning session.
Functional Magnetic Resonance
Imaging Scanning
Scanning data were acquired in a 3-T Siemens Magne-
tom Trio magnetic resonance imaging scanner (Siemens,
Erlangen, Germany) fitted with a 32-channel head-coil. An
echo-planar imaging (EPI) sequence was applied for func-
tional scans to obtain BOLD signals (echo time, 30 ms;
repeat time, 3.36 s), using 48 slices to cover the whole
brain. The voxel resolution was 3 33-mm in-plane resolu-
tion, with a 2 mm slice thickness and 1-mm inter-slice
gap. Magnetic resonance imaging signal losses in the orbi-
tofrontal cortex (OFC) and amygdala were reduced by
applying a z shim gradient moment and slice tilt [Weis-
kopf et al., 2006]. T1-weighted anatomical images were
acquired at the end of the experimental sessions for each
subject (176 slices; resolution, 1 3131 mm; echo time,
2.48 ms; repeat time, 7.92 ms). Field maps were also
acquired with the Siemens standard gradient-echo field
map sequence to correct for geometric distortion of EPI
images [Hutton et al., 2002]. We also recorded the heart
and respiration rates for each subject.
Functional Magnetic Resonance Imaging
Data Analysis
All data were analysed with SPM8 (Statistical Parametric
Mapping, http://www.fil.ion.ucl.ac.uk/spm/software/
spm8/). The EPI images for each subject were realigned
and normalized into Montreal Neurological Institute
(MNI) space, smoothed with a Gaussian smoothing kernel
of 9 3939 mm, and filtered with a high-pass cut-off
(128 s) to remove drift terms. The stimulus for each subject
was modelled as a set of regressors in a general linear
model first-level (within subject) analysis. The experiment
was a block design, and boxcar functions were used to
define the stimulations; these modelled the onsets and
durations of the visual stimuli. Head movement parame-
ters calculated from the realignment preprocessing step,
physiological recordings, and response periods were
included as regressors of no interest. Stimulus functions
were convolved with a canonical haemodynamic response
function. Contrast images were taken to random-effects
second-level (between subject) analyses to produce statisti-
cal maps at the group level.
To carry out categorical contrast analyses according to
the intensity of the aesthetic and emotional experience, rat-
ings were coded as 1, 2, 3 for ‘ugly’, ‘neutral’, and ‘beauti-
ful’, and 1, 2, and 3 for ‘sorrowful’, ‘neutral’, and ‘joyful’.
We then categorized stimuli rated 3 in the aesthetic rating
and 3 in the emotional rating into ‘joyful beauty’, those
rated 3 and 1 into ‘sorrowful beauty’, those rated 2 and 2
into ‘neutral’ and those rated 1 and 2 as ‘ugly’.
ROI Analysis
Since, we hypothesised the involvement of the mOFC
during the experience of both sorrowful and joyful beauty,
we constructed a region-of-interest (ROI) in the mOFC
centered on the coordinates at which activity was found in
previous studies to correlate with the experience of beauty
derived from visual sources, field A1 (–6 41 211) [Ishizu
and Zeki, 2011], to learn whether activity there also corre-
lates with the experience of two differently valenced emo-
tions which have beauty as a common denominator. We
created a ROI mask with 10-mm sphere to extract average
contrast estimates from the mOFC ROI across subjects. We
then compared activity within this region between sorrow-
ful beauty >ugliness, as well as joyful beauty >ugliness,
against zero, to learn whether mOFC was active with both
types of beauty experience. We also compared these two
contrasts directly to learn whether the strength of activity
differed significantly during the experience of the two
emotionally distinct kinds of beauty.
Whole Brain Analysis
We also conducted whole brain categorical analyses to
chart brain activations unique to joyful beauty and sorrow-
ful beauty separately, using the contrasts of sorrowful beau-
ty >ugliness and joyful beauty >ugliness, respectively.
To characterize common brain responses involved in the
above two contrasts, we conducted a conjunction analysis
performed by a test for independently significant effects as
in a logical AND ([sorrowful beauty >ugliness] \[joyful
beauty >ugliness]) based on the minimum statistic [Nichols
et al., 2005]. Since we had an a priori assumption of the
involvement of the mOFC in the experience of beauty [e.g.,
Ishizu and Zeki, 2011, 2013], we used a small volume correc-
tion (SVC) on the mOFC with a 16 mm sphere centred on
coordinates (–6 41 211), taken from Ishizu and Zeki [2011].
Functional Connectivity Analysis
In addition to the regional activity analyses, we also
studied the functional connectivity between mOFC and
other brain regions to determine the contribution that the
latter may make to modulating mOFC activity as a func-
tion of the aesthetic and emotional valence of the stimulus,
either through input to it or output from it. For this, we
performed a psychophysiological interaction (PPI) [Friston
et al., 1997]; this tests which regions show activation pat-
terns that co-vary with mOFC activity, when stimuli are
rated as joyfully (or sorrowfully) beautiful or ugly. We
assessed changes in functional connectivity between the
seed region in the mOFC and other brain regions in two
contrasts: joyful beauty >ugliness and sorrowful
rIshizu and Zeki r
r4188 r
beauty >ugliness; the analysis for each was performed sep-
arately. The PPI employed a design matrix consisting of
three regressors representing (1) the extracted time-series of
neural activity within an 8-mm spherical region centred on
the mOFC (‘physiological variable’); (2) a second regressor
representing the psychological context of interest, that is,
joyful beauty >ugliness and sorrowful beauty >ugliness
(‘psychological variables’); (3) a third regressor representing
the interaction of the two previous variables (i.e., the interac-
tion between the psychological and physiological variables -
‘PPI term’). Head-movement parameters were also included
in the model as regressors of no interest. This enabled us to
identify areas in which the correlation in BOLD activity
with the mOFC seed region increases during trials in which
a participant experienced sorrowful (or joyful) beauty rela-
tive to those during which they experienced ugliness. The
PPI was carried out separately for each subject and entered
into random-effects group level analysis. To obtain the data
for the physiological variable, we de-convolved the time-
series of neural activity from the 8-mm ROI within the
mOFC, centred on the coordinates of subject-specific activa-
tions in the region. Thus, to define the ROI, we used the con-
trast (joyful beauty 1sorrowful beauty) >ugliness to locate
the closest local maximum to the coordinates [0 48 216]
which we obtained in the group-level analysis. The results
of this analysis are displayed in Table I and Figure 6. It
should be noted that, although we selected the mOFC as the
seed region, the PPI cannot determine directly the direction-
ality of the connectivity or the interaction between the seed
region and other brain regions; our discussion is, therefore,
limited to interactions between the mOFC and functionally
connected regions without specifying their polarity.
We report cluster level activations significant at P<0.05
family-wise error (FWE) corrected, although some of these
(indicated in the table) were also significant at the peak
level at P<0.05 FWE corrected. The coordinates of all acti-
vations are reported in MNI space.
RESULTS
Behavioral Results
Ideally, the status of the ratings given to the 120 stimuli
viewed in the scanner should be the same as that given dur-
ing the preliminary viewing test, that is, each condition (e.g.,
beautiful and sorrowful) should appear 30 times. In reality,
such an ideal situation was not reached. Based on the aes-
thetic ratings given during the scanning sessions and the
postscanning emotional ratings, we obtained the following
ratings over 20 participants: 32.4 for ‘joyful beauty’ (3–3),
31.4 for ‘sorrowful beauty’ (3–1), 26.9 for ‘neutral’ (2–2), and
29.3 for ‘ugliness’ (2–1) (Fig. 2), on average. These slight var-
iations in the ratings during the preliminary tests and dur-
ing the scanning functional magnetic resonance imaging
(fMRI) session are not of great concern since there was a rea-
sonably distributed number of trials in each condition. The
stimuli consisted of pictures of a face(s), people including
faces, and landscapes without human figures. Figure 2
shows details of the number of images in terms of stimulus
contents. It is known that viewing different types of visual
stimuli, for example, faces versus scenes, results in activa-
tion of different brain areas, reflecting the functional special-
ization of the visual brain [Kawabata and Zeki, 2004; Zeki
et al., 1991]. All four experimental conditions in this study,
however, had similar proportions of images belonging to
the different categories, that is, human figures (including
faces and people) and landscapes (see Fig. 2). The most
prevalent stimulus images we had for each subject con-
tained human figures, that is, people or faces (92.7% on
average (90.7–93.9%) across the experimental conditions),
whereas, very few consisted of scenes without a human fig-
ure (7.3% on average (6.1–9.3%)). We conducted a 2-way
analysis of variance with 2 stimulus contents (human figure,
landscape) and 4 response conditions (joyful beauty, sad
beauty, neutral, ugliness). There was no significant differ-
ence in response conditions and interactions, while a main
effect of stimulus contents alone was observed (df 519,
F51,631, P<0.001). Therefore, the brain responses found
by contrasting the conditions we report here cannot be
explained by differences in stimulus contents.
Neuroimaging Results
mOFC
To learn whether there was a difference in the strength of
activity within the mOFC between the experience of sorrow-
ful and joyful beauty, we extracted, for each subject, the con-
trast estimates within the defined ROI in the mOFC and
compared across conditions. First, one sample t-tests
revealed that the extracted averaged contrasts estimates for
‘sorrowful beauty’ and ‘joyful beauty’, both against ‘ugli-
ness’, were different from zero (sorrowful beauty, t524.3,
df 519, P<0.001; joyful beauty, t539.7, df 519, P<0.001),
showing that, as we expected, the mOFC is engaged during
the experience of both joyful beauty and sorrowful beauty.
This area has been reported to be active in previous studies
on aesthetic experiences using a variety of stimuli [Ishizu
and Zeki, 2011; Kawabata and Zeki, 2004; O’Doherty et al.,
2003; Tsukiura and Cabeza, 2011; Zeki et al., 2014]. A direct
comparison between the two conditions showed, however,
that the averaged contrast estimates for joyful beauty gave
higher values than that for sorrowful beauty (paired t-test,
t510.4, df 538, P<0.001) (Fig. 3).
In short, the ROI results suggest that the mOFC is com-
monly activated with the experience of beauty but that the
strength of the activation may be modulated by the
valenced emotions.
Whole brain contrasts
Our main aim was to learn whether the brain regions
previously reported as active during the experience of
rExperience of Sorrowful Beauty r
r4189 r
TABLE I. Location, MNI coordinates, cluster size and values for the activations produced by the categorical contrasts of sorrowful beauty>
ugliness, joyful beauty >ugliness, sorrowful beauty >joyful beauty, joyful beauty >sorrowful beauty, and by the conjunction analysis sorrowful
beauty >ugliness \joyful beauty >ugliness
Cluster
p(FWE-cor) p(FDR-cor) equivk p(unc)
peak
p(FWE-cor) p(FDR-cor) TequivZ p(unc) X Y Z (mm)
Categorical contrasts:
Sorrowful beauty >Ugliness
0.004 0.009 137 0.001 0.027 0.249 6.971 4.853 0.000 33 47 7 R MFG
0.092 0.255 6.182 4.523 0.000 42 50 10 IFG
0.132 0.255 5.949 4.417 0.000 45 44 22 dIPFC
0.001 0.004 178 0.000 0.058 0.255 6.475 4.650 0.000 26210 25 L Caudate
0.558 0.521 4.894 3.889 0.000 26234 31 PCC
0.563 0.521 4.885 3.884 0.000 9 213 25
0.010 0.016 110 0.001 0.177 0.256 5.755 4.326 0.000 36 252 232 R Cereberum (lobule VI)
0.208 0.268 5.647 4.274 0.000 27 246 226
0.333 0.373 5.315 4.110 0.000 21 240 226
0.019 0.023 94 0.003 0.719 0.555 4.628 3.741 0.000 6 38 28 R dACC
0.861 0.605 4.360 3.585 0.000 0 38 16
Joyful beauty >Ugliness
0.000 0.000 897 0.000 0.000 0.010 9.551 5.715 0.000 239 234 25 L Hippocampus
0.001 0.015 8.734 5.472 0.000 15 219 28 Caudate
0.012 0.064 7.463 5.041 0.000 21 237 7 Hippocampus
0.000 0.000 739 0.000 0.021 0.064 7.168 4.930 0.000 3 35 13 R pgACC
0.042 0.084 6.716 4.750 0.000 2320 22
0.137 0.118 5.962 4.423 0.000 3 26 22
0.072 0.122 60 0.010 0.021 0.064 7.167 4.929 0.000 236 264 238 L Cerebellum(Lobule VII)
0.054 0.084 6.561 4.686 0.000 227 258 241
0.019 0.041 89 0.003 0.234 0.155 5.606 4.255 0.000 30 258 238 R Cerebellum(Lobule VII
0.374 0.229 5.267 4.086 0.000 39 261 238
0.411 0.229 5.194 4.048 0.000 27 249 229
0.000 1.000 136 0.000 0.003 0.214 5.928 4.407 0.000 2647217 L mOFC
0.004 0.214 5.726 4.313 0.000 2341220
0.013 0.265 5.004 3.948 0.000 2347 28
0.058 1.000 4.094 3.424 0.000 2344 4
0.046 1.000 7 0.336 0.030 0.335 4.506 3.671 0.000 2932 1L rACC
Sorrowful beauty >Joyful beauty
0.001 0.001 229 0.000 0.068 0.256 4.783 4.458 0.000 230 264 52 L SPL
0.155 0.256 4.505 4.228 0.000 239 255 49 IPL
0.585 0.416 3.940 3.746 0.000 212 261 52 Precuneus
0.018 0.016 112 0.003 0.182 0.256 4.449 4.181 0.000 30 23 28 R MFG
0.425 0.341 4.105 3.889 0.000 45 32 31
0.955 0.739 3.450 3.314 0.000 45 23 40
0.004 0.005 163 0.001 0.195 0.256 4.423 4.159 0.000 248 32 25 L MFG
0.430 0.341 4.100 3.884 0.000 227 23 28
0.477 0.341 4.049 3.841 0.000 236 29 28
rIshizu and Zeki r
r4190 r
TABLE I. (continued).
Cluster
p(FWE-cor) p(FDR-cor) equivk p(unc)
peak
p(FWE-cor) p(FDR-cor) TequivZ p(unc) X Y Z (mm)
Joyful beauty >Sorrowful beauty
0.032 0.117 96 0.006 0.148 0.480 4.522 4.242 0.000 51 228 25 R TPJ/SMG
Conjunction([joyful beauty >ugliness] \[sad beauty>ugliness])
0.436
[SVC, 264121]
0.547
L (mOFC)]
28 0.104 0.028 0.155 5.056 4.679 0.000 236 264 235 L Cerebellum VII
0.023 0.211 16 0.211 0.017 0.335 3.933 3.740 0.000 2635217 L mOFC
0.026 0.335 3.772 3.600 0.000 212 38 214
PPIs:
mOFC_Sorrowful beauty >Ugliness
0.000 0.000 1,466 0.000 0.000 0.004 10.330 5.926 0.000 39 282 4 R Middle occipital gyrus
0.002 0.030 8.310 5.336 0.000 23282 1 Lingual gyrus
0.004 0.030 8.092 5.263 0.000 3 276 1
0.000 0.001 282 0.000 0.547 0.547 4.754 3.812 0.000 2624 61 L SMA (encroaching to MCC)
0.580 0.550 4.699 3.781 0.000 6 11 67
0.722 0.658 4.464 3.646 0.000 29546
[SVC, 33 47 1 ’ (dIPFC)]
0.040 0.393 8 0.393 0.024 0.236 4.450 3.640 0.000 33 53 16 R dIPFC/MFG
mOFC_Joyful beauty >Ugliness
0.000 0.000 886 0.000 0.004 0.037 8.484 5.238 0.000 51 261 22 R MTG
0.076 0.125 6.610 4.591 0.000 9 288 1
0.134 0.125 6.199 4.423 0.000 15 288 25
0.014 0.009 110 0.002 0.068 0.125 6.690 4.622 0.000 29 62 10 L rMPFC
0.866 0.387 4.459 3.579 0.000 6 59 19
0.985 0.685 3.961 3.288 0.001 212 50 16
0.000 0.000 612 0.000 0.133 0.125 6.202 4.425 0.000 242 273 211 L Occipital gyrus
0.182 0.125 5.974 4.327 0.000 227 279 217
0.333 0.131 5.509 4.117 0.000 236 267 28
| 0.013 0.009 112 0.002 0.188 0.125 5.950 4.317 0.000 239 213 52 L Precentral gyrus
0.192 0.125 5.934 4.310 0.000 248 219 49
0.955 0.548 4.168 3.412 0.000 230 222 64
Also shown are areas exhibiting greater functional connectivity with the mOFC in psychophysiological interactions (PPIs), in the contrasts sorrowful beauty >ugliness and
joyful beauty >ugliness.
rExperience of Sorrowful Beauty r
r4191 r
beauty, and in particular the mOFC, were differentially
engaged during the experience of sorrowful and joyful
beauty. But we were also interested in learning whether,
besides the mOFC, significantly different brain regions
were involved when the experience was that of sorrowful
as opposed to joyful beauty, especially given that the two
arouse different empathetic feelings.
To chart brain activations that correlate with the experi-
ence of sorrowful and joyful beauty, we performed separate
categorical contrasts of (1) sorrowful beauty >ugliness, and
of joyful beauty >ugliness; we also contrasted the activity
produced by (2) joyful beauty versus sorrowful beauty, to
directly compare brain regions that are uniquely active dur-
ing each kind of aesthetic experience. We then used a con-
junction analysis [Nichols, et al., 2005] to characterize brain
activations common to both sorrowful and joyful beauty
using the contrast [sorrowful beauty >ugliness] \[joyful
beauty >ugliness]. All activations are listed in Table I.
Sorrowful beauty versus ugliness. The contrast sorrowful
beauty >ugliness resulted in activity in lateral frontal lobe
including the middle frontal gyrus (MFG); this band of
activity extended to the inferior frontal gyrus (IFG) and
the dorso-lateral prefrontal cortex (dlPFC). The posterior
cingulate cortex (PCC), encroaching upon the caudate
Figure 2.
Behavioral data collected in the fMRI experiment, showing aver-
aged number of trials with each kind of stimulus (people, faces,
and landscape without a human figure), with standard deviations
for each of the four experimental conditions across 20 subjects.
Figure 3.
The upper panel shows the activation within the medial orbitofron-
tal cortex correlating with the experience of joyful and sorrowful
beauty. Statistical parametric maps rendered onto canonical ana-
tomical sections showing the t-statistic for (left) joyful beauty >ugli-
ness, (middle) sorrowful beauty >ugliness, and (right) the results of
a conjunction analysis for joyful beauty >ugliness \sorrowful
beauty >ugliness. Random effects analysis with 20 subjects. Display
threshold P<0.001 (uncorrected). (Lower right) Region of interest
in the mOFC. (Lower left) Averaged contrast estimates for the
contrasts joyful beauty >ugliness (JB >UG) and sorrowful beau-
ty >ugliness (SB >UG) within the defined ROI (–6 41 211), over
20 subjects. Joyful beauty caused a higher BOLD signal than sor-
rowful beauty. * P<0.05. Error bars are standard error (SE).
[Color figure can be viewed at wileyonlinelibrary.com]
rIshizu and Zeki r
r4192 r
(head and body), was also active. In addition, there was
activity in parts of the cerebellum (lobule VI) and dorsal
ACC (see Figs. 4, 7, and 8).
In short, some cortical regions which previous studies had
found to be active during sorrowful experiences were also
active in the contrast of sorrowful beauty versus ugliness.
Joyful beauty versus ugliness. The contrast joyful beauty
>ugliness led to activation in the right mOFC, in a region
adjoining rostro-ventral anterior cingulate cortex (ACC);
this entire zone has been reported to be active in previous
studies of aesthetic experiences [e.g., Ishizu and Zeki,
2011; Tsukiura and Cabeza, 2011; Zeki et al., 2014]. The
body of the right caudate nucleus and pregenual ACC
(pgACC), which have been found to be active in the expe-
rience of visual beauty and aesthetic and evaluative judg-
ments [Cunningham et al., 2004; Ishizu and Zeki, 2011;
Jacobsen et al., 2006; Vartanian and Goel, 2004], were also
active. In addition, there were activations in bilateral pos-
terior hippocampus and parts of the cerebellum (lobule
VII crus I and II) (see Figs. 5, 7, and 8).
In short, in addition to the activation within the mOFC,
we observed a similar pattern of cortical and subcortical
activations in the contrast of joyful beauty versus ugliness
to that reported in previous studies of visual beauty.
Areas uniquely active for each kind of beauty. The con-
trast sorrowful >joyful beauty produced activation in: the
left inferior parietal lobe (IPL) encroaching on the precu-
neus, a region which has often been observed in studies of
emotional/social pain (e.g., Lamm et al., 2011); it also pro-
duced activity in bilateral MFG, parts of which have been
found to be involved during emotional states [Acevedo
et al., 2014; Sabatinelli et al., 2011].
The reverse contrast, of joyful >sorrowful beauty led to
activation in the right temporoparietal junction (TPJ),
including the supramarginal gyrus (SMG), a region
thought to be involved in controlling empathy toward
others [e.g., Silani et al., 2013] (Fig. 6).
In summary, the experience of joyful and sorrowful
beauty had, as correlates, distinct patterns of cortical activ-
ity. The former included the TPJ and the SMG alone while
the latter included the left parietal lobe, the precuneus,
and bilateral MFG.
Areas commonly active during the experience of both types
of beauty. The conjunction analysis ([sorrowful beau-
ty >ugliness] \[joyful beauty >ugliness]) showed com-
mon activation in the mOFC with the application of SVC,
and left cerebellum (lobule VII), whereas the ACC, which
Figure 4.
Sites active during the experience of sorrowful beauty. Statistical
parametric maps rendered onto canonical anatomical sections
showing the t-statistic for the contrast sorrowful beauty >ugli-
ness. Random effects analysis with 20 subjects. Display threshold
P<0.001 (uncorrected). Abbreviations: IFG, frontal gyrus; MFG,
middle frontal gyrus; dACC, dorsal anterior cingulate cortex;
PCC, posterior cingulate cortex. [Color figure can be viewed at
wileyonlinelibrary.com]
Figure 5.
Sites active during the experience of joyful beauty. Statistical
parametric maps rendered onto canonical anatomical sections
showing the t-statistic for the contrast joyful beauty >ugliness.
Random effects analysis with 20 subjects. Display threshold
P<0.001 (uncorrected). Abbreviation: dACC, dorsal anterior
cingulate cortex. [Color figure can be viewed at wileyonlineli-
brary.com]
rExperience of Sorrowful Beauty r
r4193 r
was active in both conditions, did not survive this thresh-
old in the conjunction analysis (Fig. 3).
Functional Connectivity
The conjunction analysis revealed that the mOFC is
engaged during the experience of both sorrowful and joy-
ful beauty. We undertook a PPI analysis to learn more
about the possible differential neural engagements during
the experience of the two types of beauty, by examining
the functional connectivity between the mOFC and other
brain regions. Because the stimuli experienced as being
sorrowful contained, for the most part, pitiful and empa-
thetic scenes (such as pictures of funerals, an abandoned
child, a crying man, separations, etc.), we expected that, in
this condition, the mOFC will show greater functional con-
nectivity with regions related to the experience of sad
(negative) emotional empathy and the interpretation of
others’ intentions, especially under sad or painful situa-
tions (‘negative empathy’ as opposed to ‘positive empathy’
[Morelli et al., 2015]); these regions are the middle cingu-
late cortex (MCC), the supplementary motor area (SMA)
[Fan et al., 2011], and the dlPFC [Lieberman, 2007 for a
review; Weissman et al., 2008]. Using sorrowful beauty
and ugliness as the psychological parameters, we tested
whether the physiological coupling between mOFC, as the
seed region, and other regions besides the ones mentioned
above, would change between the experience of sorrowful
beauty and ugliness. The results showed that there was
indeed increased functional connectivity between the
mOFC and SMA, encroaching onto MCC, and several
other regions (see Fig. 9 and Table I). With the application
of SVC using the coordinates based on a previous PPI
study in the bilateral dlPFC [Kirk et al., 2011], dlPFC also
showed a significant increased connectivity with the
mOFC during the experience of sorrowful beauty. We
then compared the averaged b-value in the SMA/MCC
during the experience of sorrowful and joyful beauty and
found a stronger connectivity between the SMA/MCC and
the mOFC in sorrowful beauty relative to joyful beauty
(t(19) 54.03, P<0.01).
In contrast, the experience of joyful beauty produced
increased functional connectivity between the mOFC and
the anterior rostral medial prefrontal cortex (anterior
rMPFC) and middle temporal gyrus (MTG), among several
other regions (see Table I). The averaged b-value in the
rMPFC showed stronger connectivity in joyful beauty than
sorrowful beauty (t(19) 55.31, P<0.01). All other PPI
results are listed in Table I.
DISCUSSION
The experience of beauty may, in general terms, be
regarded as a positive, rewarding, and pleasurable one. It
is perhaps not surprising, therefore, that regardless of
source, it correlates with activity in field A1 of mOFC [Ish-
izu and Zeki, 2011], a region of the emotional brain which
has been generally associated with pleasure and reward
(e.g., O’Doherty et al., 2001); activity in it has been shown
to correlate parametrically with the declared intensity of
the experience of beauty derived from a variety of stimuli,
such as faces, colors, motion, paintings, music, architec-
tures, moral judgments, and mathematical equations
[Ikeda et al., 2015; Ishizu and Zeki, 2011; Kawabata and
Zeki, 2004; Kuhn and Gallinat, 2012; O’Doherty et al.,
2003; Zeki and Stutters, 2012; Tsukiura and Cabeza, 2011;
Vartanian et al., 2013 for a meta-analysis; Zeki et al., 2014]
though apparently not from the performing (dance) arts
[e.g., Calvo-Merino, et al., 2008; Cross et al., 2011]. More-
over, a recent study has reported an increase in aesthetic
ratings of visual stimuli [Nakamura and Kawabata, 2015]
following the application of anodal transcranial direct cur-
rent stimulation to the mOFC, presumably because of
enhanced neural activity within it.
In the work reported here, we wanted to go a step
beyond and enquire into whether the experience of beauty
linked to different and indeed opposite emotional states
would also correlate with activity in A1 of mOFC. Sorrow-
ful beauty is commonly associated with negative empathy
Figure 6.
Sites revealed to be active in the contrast sorrowful versus joy-
ful beauty. Statistical parametric maps rendered onto canonical
anatomical sections showing the t-statistic for (upper) the con-
trasts joyful beauty >sorrowful beauty and (lower) sorrowful
beauty >joyful beauty. Random effects analysis with 20 subjects.
Display threshold P<0.001 (uncorrected). Abbreviations: rTPJ,
right temporoparietal junction; IPL, inferior parietal lobe; SPL,
superior parietal lobe; MFG, middle frontal gyrus. [Color figure
can be viewed at wileyonlinelibrary.com]
rIshizu and Zeki r
r4194 r
while joyful beauty is linked to positive empathy. The two
experiences studied here are, thus, associated with oppo-
site empathetic sources but share a common denominator,
that of beauty. Given that field A1 of mOFC correlates
with the experience of beauty regardless of source, it was
natural to hypothesize that the experience of beauty linked
to emotional states of opposite valence would also corre-
late with activity in the same area, which is indeed what
we found. But the intensity of activity in A1 of mOFC
(defined as the ROI) was greater during the experience of
beauty derived from joy than that derived from sorrow.
This made it interesting to enquire into the strength of
connectivity between the mOFC and areas of the brain
that have been associated with experience of two opposite
states of empathy.
Negative and Positive Empathy Reflected in the
Pattern of Brain Activity
Empathy has been studied in fair detail recently but
most do not refer explicitly to a distinction between nega-
tive and positive empathy. That the two are separate is, of
course, a common human experience; it is reflected here in
the distinct patterns of activation that correlate with the
experience of sorrowful and joyful beauty, besides the
common correlate in activity of A1 of mOFC. This distinc-
tion can be discerned in (a) the general pattern of cortical
activity, (b) in activity within the anterior cingulate cortex,
and (c) in the cerebellum.
a. General cortical activation patterns. Contrasting the pat-
tern produced by the experience of sorrowful beauty with
that produced by the experience of ugliness resulted in an
extensive pattern of activity that includes, in addition to
the reward-related regions, bilateral MFG, extending to
IFG, right dlPFC and PCC; all three areas are known to be
active when empathizing with others, especially in nega-
tive emotional conditions. The IFG, in particular, has been
reported to be active during listening to minor chords
(rated as sad and indicative of sorrow) compared to major
ones (which were rated as ‘happy’), even though both
were rated as aesthetically beautiful by the subjects
[Suzuki et al., 2008]. This region has also been reported to
be active when viewing pictures of humans suffering from
harm and threat [Nummenmaa et al., 2008], while the
MFG has been reported to be active during the viewing of
sad faces [Acevedo et al., 2014; Sabatinelli et al., 2011]. The
dlPFC has been linked to handling complex social situa-
tions [Lieberman, 2007 for a review; Weissman et al.,
2008], control of emotional states [Goldin et al., 2008;
Keightley et al., 2003], inferring others’ intentions, and the-
ory of mind [Guroglu et al., 2011]. The PCC, encroaching
upon the caudate (head and body), was also active; this
region has been implicated in a range of functions includ-
ing the experience of high valence emotional stimuli [Mad-
dock et al., 2003], theory of mind [Fletcher et al., 1995;
Greene et al., 2001], and sad autobiographical recall
[Farrow et al., 2001; Maddock, 1999]. Activity in the IPL,
also observed with the experience of sorrowful beauty
when contrasted with joyful beauty, has been associated
with emotional or social pain and, together with the IFG,
has been considered as constituting an ‘emotion contagion
network’ underlying our ability to empathize emotionally
[Shamay-Tsoory, 2011], though negatively.
By contrast, the experience of joyful beauty correlated
with activity in the right TPJ and in the SMG, both of
which have been considered to be involved in controlling
empathy toward others, by overriding an emphasis on the
self (ego-centricity) [e.g., Silani et al., 2013]. Activity in the
TPJ, which has been considered to play an important role
in interpersonal emotional and cognitive interactions
[Saxe, 2006, for a review], has been reported to increase
when subjects view happy faces compared to angry or dis-
appointed ones [Lelieveld et al., 2013] and both TPJ and
SMG have been demonstrated to be part of a larger corti-
cal zone, which includes the right parietal area, that is
active when adopting other peoples’ emotional states [e.g.,
Ruby and Decety, 2004].
b. Anterior cingulate cortex: Activation within the ACC
found during the experience of sorrowful and joyful
beauty can be separated into dorsal (dACC) for the former
and the pregenual subdivision (pgACC) for the latter (see
Fig. 7). It has been suggested that the dACC is active dur-
ing the experience of emotionally distressing conditions
Figure 7.
Sites active within the ACC during the experience of sorrowful
and joyful beauty. Statistical parametric maps rendered onto
canonical anatomical sections showing the t-statistic for (red)
the contrasts joyful beauty >ugliness and (blue) sorrowful beau-
ty >ugliness. Random effects analysis with 20 subjects. Display
threshold P<0.001 (uncorrected). Abbreviations: dACC, dorsal
anterior cingulate cortex; pgACC, perigenual anterior cingulate
cortex. [Color figure can be viewed at wileyonlinelibrary.com]
rExperience of Sorrowful Beauty r
r4195 r
such as physical and social pain (acknowledging others’
pain) [Eisenberger and Lieberman, 2004; Lamm et al., 2011
for a review], whereas the pgACC activity (including
activity in the adjacent subgenual ACC and mOFC/ven-
tromedial prefrontal cortex (vmPFC)) correlates with the
experience of positive emotions [Etkin et al., 2011 for a
review]. A previous study reports activity in this region
when viewing aesthetically pleasing stimuli [e.g., Varta-
nian et al., 2013]. ACC’s diverse cognitive and emotional
functions make it difficult to define each subdivision’s
involvement in a precise function. But previous studies
suggest that the ventral and sub/pregenual areas are
involved in processing of emotion, especially positive emo-
tion while the dorsal subdivision, by contrast, is strongly
associated with negative emotional states as well as cogni-
tive components. This separation, again, reflects anatomi-
cally the involvement of separate regions in positive and
negative components of aesthetic experiences.
c. Cerebellum: The dichotomy in neural activity that cor-
relates with the two contrasting experiences is also
reflected in cerebellar activity. We found that the experi-
ence of sorrowful and joyful beauty engaged different
parts of the cerebellum, lobule VI for sorrowful beauty
and lobule VII for joyful beauty (see Fig. 8). Although
there is no current consensus regarding the pattern of cer-
ebellar activity during aesthetic experiences, several past
studies have reported activity in cerebellum during aes-
thetic experiences, including ones derived from visual and
literary beauty as well as during the judgment of beauty
[Bohrn et al., 2013; Ishizu and Zeki, 2013; Vartanian and
Goel, 2004]. It is noteworthy that sorrowful beauty
engaged lobule VI, which past studies have shown to be
more responsive to negatively charged stimuli such as sad-
ness, fear, and anger than to positive ones [Baumann and
Figure 8.
Sites active within the cerebellum during the experience of sor-
rowful and joyful beauty. Statistical parametric maps rendered
onto canonical anatomical sections showing the t-statistic for
(red) the contrasts joyful beauty >ugliness and (blue) sorrowful
beauty >ugliness. Random effects analysis with 20 subjects. Dis-
play threshold P<0.001 (uncorrected). [Color figure can be
viewed at wileyonlinelibrary.com]
Figure 9.
The upper panel shows the functional connectivity observed in
this study, with the mOFC as the seed region. Areas in orange
(anterior rMPFC) showed greater functional connectivity with
the mOFC during the experience of joyful beauty, whereas areas
shown in blue (SMA/MCC) showed greater connectivity during
the experience of sorrowful beauty. Display threshold P<0.001
(uncorrected). Lower panel (left) shows the averaged beta-
estimates measuring the correlation between BOLD activity in
the SMA/MCC and the mOFC. Lower panel (right) shows the
averaged beta-estimates measuring the correlation between
BOLD activity in the anterior rMPFC and the mOFC. Blue bars
denote the averaged beta-estimates with sorrowful beauty and
red bars denote those with joyful beauty. Error bars are stan-
dard error (SE). Abbreviations: SMA, supplementary motor area;
MCC, middle cingulate cortex; rMPFC, rostral medial prefrontal
cortex; mOFC, medial orbito-frontal cortex. [Color figure can
be viewed at wileyonlinelibrary.com]
rIshizu and Zeki r
r4196 r
Mattingley, 2012; Park et al., 2010] and to perspective tak-
ing to others’ pain [Lamm et al., 2007], which can be
regarded as negative empathy in the context of the current
study. Although the cerebellum is, in general, more active
during what may be regarded as negative emotions
[Stoodley, 2012], crus II (lobule VII) has been reported to
be more strongly engaged when viewing pictures repre-
senting happiness than disgust [Schienle and Scharmuller,
2013] and is uniquely active with joyful beauty in the cur-
rent experiment.
Patient studies have suggested that lesions in lobule VI
and VII can lead to cerebellar cognitive affective syn-
drome, when patients suffer from various emotional and
behavioral deficits, including flattening of emotions or
impulsive behaviors [Schmahmann, 2004; Schmahmann
et al., 2007]. It has been suggested that those deficits in
emotion, possibly produced by disrupting the cerebellar-
limbic connection [Stoodley and Schmahmann, 2009], can
affect the ability to communicate and empathize with the
perspectives of others [Oberman and Ramachandran,
2007].
Hence, both cortical and cerebellar activations reflect, in
a sense, the common human experience which can sepa-
rate sorrowful from joyful beauty. Even though this is a
distinction that is not commonly made or emphasized in
philosophies of aesthetics, it is, nevertheless, one that cor-
relates with distinct patterns of activation during the expe-
rience of the two different kinds of beauty.
Functional connectivity
Given this dichotomy, we naturally expected that some of
the areas that were active above would show a positive,
state-dependent positive connectivity with mOFC. It is
known that activity in the mOFC (and vmPFC) can be mod-
ulated by signals from other brain regions [Harvey et al.,
2010]. The areas showing a greater functional connectivity
with the mOFC during the experience of sorrowful beauty
were the SMA, MCC, and dlPFC, regions related to the
experience of sad (negative) emotional empathy and the
interpretation of others’ intentions, especially under sad or
painful situations [Lieberman, 2007 for a review; Fan et al.,
2011; Weissman et al., 2008]. One study using diffusion-
weighted and functional MRI showed a direct connection
between the SMA and OFC area [Johansen-Berg et al., 2004].
It is known that aesthetic judgments under the influence of
monetary value and sponsorship to artworks lead to
increased functional connectivity between the mOFC and
the dlPFC, activity in the former being influenced by that of
the latter [Harvey et al., 2010; Kirk et al., 2011]. Hare et al.,
[2009, 2010] reported that the dlPFC modulated value sig-
nals encoded in the vmPFC/mOFC when subjects were
given information about the health status of a food item and
conducted self-controlling dietary choice.
Joyful beauty, in contrast, did not exhibit a functional con-
nectivity with the regions relating to negative empathy, but
showed a greater connectivity with anterior part of the
rMPFC, a region thought to be involved in mentalizing other
people’s psychological perspective [e.g., Amodio and Frith,
2006 for a review; Skerry and Saxe, 2015]. It is not clear
whether different patterns of activity in the rMPFC correlate
with the experience of positive and negative emotion in
mentalizing but some studies suggest that it responds more
to positive and aesthetically pleasing stimuli [Kreplin and
Fairclough, 2013; Vessel et al., 2012]. An enhanced func-
tional connection between mOFC/vmPFC, MPFC, and
MTG during the judgment of facial attractiveness has been
reported in a previous PPI study [Smith et al., 2014].
It has been suggested that the mOFC encodes the aes-
thetic value on the basis of a common neural scale regard-
less of its source [e.g., Ishizu and Zeki, 2011; Pegors et al.,
2015; Zeki et al., 2014], leading to an enquiry on how rele-
vant information, such as emotional context, modulates
perceived aesthetic value and how such a modulation is
represented in neural terms, besides activity within the
mOFC [Pegors et al., 2015]. The findings from recent studies,
some mentioned above, have suggested that the mOFC inter-
acts with other brain systems during evaluation of reward
values in a ‘context-dependent’ manner [Levy and Glimcher,
2012; Smith et al., 2014]. We have revealed that there is an
increased functional connectivity between the mOFC and
anterior rMPFC in joyful beauty and between the mOFC and
the SMA/MCC and the dlPFC in sorrowful beauty. This find-
ing suggests that (1) the brain engages two specialised sys-
tems, a reward-related one (the mOFC) and empathy-related
regions; these are dissociable from each other depending
upon whether the experience has a positive or negative emo-
tional valance (the SMA/MCC and rMPFC), and (2) the
empathy-related regions may modulate activity within the
mOFC through functional connectivity, to enable us to experi-
ence the contradictory aesthetic and emotional values.
In summary, therefore, functional connectivity between
mOFC and other cortical areas during the experience of
beauty is dictated by whether the experienced beauty is
joyful or sorrowful.
It is interesting to discuss briefly the neural correlates of
pleasure evoked by listening to sad music, which is also
regarded as being a positive aesthetic experience with a neg-
ative emotional valence [Schubert, 1996]. Such a contradic-
tory experience can be seen in many forms of art, including
paintings and films [e.g., Hanich et al., 2014; Leder et al.,
2014] but is most notable and relatively well studied in
music. Among previous behavioral and neuroimaging stud-
ies on sad music [e.g., Kawakami et al., 2013; Suzuki et al.,
2008; Taruffi and Koelsch, 2014], a recent one [Sachs et al.,
2015] has argued that sad music is found pleasurable when
(1) it is perceived as non-life-threatening and with, no
immediate real life implication; (2) it is aesthetically pleas-
ing; and (3) it has certain psychological benefits, such as
mood regulation caused by recollection of personal past
events, which leads to activation within hippocampus/par-
ahippocampal gyrus. We did not find hippocampal activity
in the sorrowful beauty condition in the current study;
rExperience of Sorrowful Beauty r
r4197 r
instead, we found activation within SMA/MCC, indicating
empathy and perspective taking toward other people. This
may be due to a difference in the nature of visual and musi-
cal perception. With visual stimuli, viewers can immediately
empathize with sufferers or wounded people depicted in an
image. By contrast, music, having no figurative representa-
tion, may make listeners adopt a more ‘self-referential
mode’ and recall personal-relevant memories. This points to
possible interesting future studies, of how the brain reacts to
the experience of sadness evoked by different sources.
CONCLUSION
It is gratifying to us that an inspiration derived from a
literary source should have led to work which has given
us a little, but not much, more knowledge about the brain
mechanisms that are engaged during aesthetic experiences.
ACKNOWLEDGMENT
We thank Yen Yu for his helpful comments. This study
was supported by the Wellcome Trust, London.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
REFERENCES
Acevedo BP, Aron EN, Aron A, Sangster MD, Collins N, Brown
LL (2014): The highly sensitive brain: An fMRI study of sen-
sory processing sensitivity and response to others’ emotions.
Brain Behav 4:580–594.
Amodio DM, Frith CD (2006): Meeting of minds: The medial fron-
tal cortex and social cognition. Nat Rev Neurosci 7:268–277.
Baumann O, Mattingley JB (2012): Functional topography of pri-
mary emotion processing in the human cerebellum. Neuro-
image 61:805–811.
Bohrn IC, Altmann U, Lubrich O, Menninghaus W, Jacobs AM
(2013): When we like what we know–a parametric fMRI analy-
sis of beauty and familiarity. Brain Lang 124:1–8.
Calvo-Merino B, Jola C, Glaser DE, Haggard P (2008): Towards a
sensorimotor aesthetics of performing art. Conscious Cogn 17:
911–922.
Cross ES, Kirsch L, Ticini LF, Schutz-Bosbach S (2011): The impact
of aesthetic evaluation and physical ability on dance percep-
tion. Front Hum Neurosci 5:102.
Cunningham WA, Raye CL, Johnson MK (2004): Implicit and
explicit evaluation: fMRI correlates of valence, emotional inten-
sity, and control in the processing of attitudes. J Cogn Neuro-
sci 16:1717–1729.
Eisenberger NI, Lieberman MD (2004): Why rejection hurts: A
common neural alarm system for physical and social pain.
Trends Cogn Sci 8:294–300.
Etkin A, Egner T, Kalisch R (2011): Emotional processing in ante-
rior cingulate and medial prefrontal cortex. Trends Cogn Sci
15:85–93.
Fan Y, Duncan NW, de Greck M, Northoff G (2011): Is there a
core neural network in empathy? An fMRI based quantitative
meta-analysis. Neurosci Biobehav Rev 35:903–911.
Farrow TF, Zheng Y, Wilkinson ID, Spence SA, Deakin JF, Tarrier
N, Griffiths PD, Woodruff PW (2001): Investigating the func-
tional anatomy of empathy and forgiveness. Neuroreport 12:
2433–2438.
Fletcher PC, Happe F, Frith U, Baker SC, Dolan RJ, Frackowiak
RS, et al. (1995): Other minds in the brain: A functional imag-
ing study of “theory of mind” in story comprehension. Cogni-
tion 57:109–128.
Friston KJ, Buechel C, Fink GR, Morris J, Rolls E, Dolan RJ (1997):
Psychophysiological and modulatory interactions in neuroim-
aging. Neuroimage 6:218–229.
Goldin PR, McRae K, Ramel W, Gross JJ (2008): The neural bases
of emotion regulation: Reappraisal and suppression of nega-
tive emotion. Biol Psychiatry 63:577–586.
Greene JD, Sommerville RB, Nystrom LE, Darley JM, Cohen JD
(2001): An fMRI investigation of emotional engagement in
moral judgment. Science 293:2105–2108.
Guroglu B, van den Bos W, van Dijk E, Rombouts SA, Crone EA
(2011): Dissociable brain networks involved in development of
fairness considerations: Understanding intentionality behind
unfairness. Neuroimage 57:634–641.
Hanich J, Wagner V, Shah M, Jacobsen T, Menninghaus W
(2014): Why we like to watch sad films. The pleasure of being
moved in aesthetic experiences. Psychol Aesthet Creat Arts 8:
130–143.
Hare TA, Camerer CF, Rangel A (2009): Self-control in decision-
making involves modulation of the vmPFC valuation system.
Science 324:646–648.
Hare TA, Camerer CF, Knoepfle DT, Rangel A (2010): Value com-
putations in ventral medial prefrontal cortex during charitable
decision making incorporate input from regions involved in
social cognition. J Neurosci 30:583–590.
Harvey AH, Kirk U, Denfield GH, Montague PR (2010): Monetary
favors and their influence on neural responses and revealed
preference. J Neurosci 30:9597–9602.
Hutton C, Bork A, Josephs O, Deichmann R, Ashburner J, Turner
R (2002): Image distortion correction in fMRI: A quantitative
evaluation. Neuroimage 16:217–240.
Ikeda T, Matsuyoshi D, Sawamoto N, Fukuyama H, Osaka N
(2015): Color harmony represented by activity in the medial
orbitofrontal cortex and amygdala. Front Hum Neurosci 9:382.
Ishizu T, Zeki S (2011): Toward a brain-based theory of beauty.
PLoS One 6:e21852.
Ishizu T, Zeki S (2013): The brain’s specialized systems for
aesthetic and perceptual judgment. Eur J Neurosci 37:
1413–1420.
Ishizu T, Zeki S (2014): A neurobiological enquiry into the origins
of our experience of the sublime and beautiful. Front Hum
Neurosci 8:891.
Jacobsen T, Schubotz RI, Hofel L, Cramon DY (2006): Brain corre-
lates of aesthetic judgment of beauty. Neuroimage 29:276–285.
Johansen-Berg H, Behrens TE, Robson MD, Drobnjak I, Rushworth
MF, Brady JM, et al. (2004): Changes in connectivity profiles
define functionally distinct regions in human medial frontal cor-
tex. Proc Natl Acad Sci USA 101:13335–13340.
Kawabata H, Zeki S (2004): Neural correlates of beauty.
J Neurophysiol 91:1699–1705.
Kawakami A, Furukawa K, Katahira K, Okanoya K (2013): Sad
music induces pleasant emotion. Front Psychol 4:311.
rIshizu and Zeki r
r4198 r
Keightley ML, Winocur G, Graham SJ, Mayberg HS, Hevenor SJ,
Grady CL (2003): An fMRI study investigating cognitive mod-
ulation of brain regions associated with emotional processing
of visual stimuli. Neuropsychologia 41:585–596.
Kelly CR, Grinband J, Hirsch J (2007): Repeated exposure to
media violence is associated with diminished response in an
inhibitory frontolimbic network. PLoS One 2:e1268.
Kirk U, Harvey A, Montague PR (2011): Domain expertise insu-
lates against judgment bias by monetary favors through a
modulation of ventromedial prefrontal cortex. Proc Natl Acad
Sci USA 108:10332–10336.
Kreplin U, Fairclough SH (2013): Activation of the rostromedial
prefrontal cortex during the experience of positive emotion in
the context of esthetic experience. An fNIRS study. Front Hum
Neurosci 7:879.
Kuhn S, Gallinat J (2012): The neural correlates of subjective pleas-
antness. Neuroimage 61:289–294.
Lamm C, Batson CD, Decety J (2007): The neural substrate of
human empathy: effects of perspective-taking and cognitive
appraisal. J Cogn Neurosci 19:42–58.
Lamm C, Decety J, Singer T (2011): Meta-analytic evidence for com-
mon and distinct neural networks associated with directly expe-
rienced pain and empathy for pain. Neuroimage 54:2492–2502.
Leder H, Gerger G, Brieber D, Schwarz N (2014): What makes an
art expert? Emotion and evaluation in art appreciation. Cogn
Emot 28:1137–1147.
Lelieveld GJ, Van Dijk E, Guroglu B, Van Beest I, Van Kleef GA,
Rombouts SA, et al. (2013): Behavioral and neural reactions to
emotions of others in the distribution of resources. Soc Neuro-
sci 8:52–62.
Levy DJ, Glimcher PW (2012): The root of all value: A neural com-
mon currency for choice. Curr Opin Neurobiol 22:1027–1038.
Lieberman MD (2007): Social cognitive neuroscience: A review of
core processes. Annu Rev Psychol 58:259–289.
Maddock RJ (1999): The retrosplenial cortex and emotion: New
insights from functional neuroimaging of the human brain.
Trends Neurosci 22:310–316.
Maddock RJ, Garrett AS, Buonocore MH (2003): Posterior cingu-
late cortex activation by emotional words: fMRI evidence from
a valence decision task. Hum Brain Mapp 18:30–41.
Morelli SA, Lieberman MD, Zaki J (2015): The emerging study of
positive empathy. Soc Personal Psychol Compass 9:57–68.
Nakamura K, Kawabata H (2015): Transcranial direct current
stimulation over the medial prefrontal cortex and left primary
motor cortex (mPFC-lPMC) affects subjective beauty but not
ugliness. Front Hum Neurosci 9:654.
Nichols T, Brett M, Andersson J, Wager T, Poline JB (2005): Valid
conjunction inference with the minimum statistic. Neuroimage
25:653–660.
Nummenmaa L, Hirvonen J, Parkkola R, Hietanen JK (2008): Is
emotional contagion special? An fMRI study on neural systems
for affective and cognitive empathy. Neuroimage 43:571–580.
Oberman LM, Ramachandran VS (2007): The simulating social
mind: The role of the mirror neuron system and simulation in
the social and communicative deficits of autism spectrum dis-
orders. Psychol Bull 133:310–327.
O’Doherty J, Kringelbach ML, Rolls ET, Hornak J, Andrews C
(2001): Abstract reward and punishment representations in the
human orbitofrontal cortex. Nat Neurosci 4:95–102.
O’Doherty J, Winston J, Critchley H, Perrett D, Burt DM, Dolan RJ
(2003): Beauty in a smile: The role of medial orbitofrontal cor-
tex in facial attractiveness. Neuropsychologia 41:147–155.
Park JY, Gu BM, Kang DH, Shin YW, Choi CH, Lee JM, et al.
(2010): Integration of cross-modal emotional information in the
human brain: An fMRI study. Cortex 46:161–169.
Pegors TK, Kable JW, Chatterjee A, Epstein RA (2015): Common
and unique representations in pFC for face and place attrac-
tiveness. J Cogn Neurosci 27:959–973.
Ruby P, Decety J (2004): How would you feel versus how do
you think she would feel? A neuroimaging study of
perspective-taking with social emotions. J Cogn Neurosci 16:
988–999.
Sabatinelli D, Fortune EE, Li Q, Siddiqui A, Krafft C, Oliver
WT, et al. (2011): Emotional perception: Meta-analyses of
face and natural scene processing. Neuroimage 54:
2524–2533.
Sachs M, Damasio A, Habibi A (2015): The pleasure of sad music:
A systematic review. Front Hum Neurosci 9:404.
Saxe R (2006): Uniquely human social cognition. Curr Opin Neu-
robiol 16:235–239.
Schienle A, Scharmuller W (2013): Cerebellar activity and connec-
tivity during the experience of disgust and happiness. Neuro-
science 246:375–381.
Schmahmann JD (2004): Disorders of the cerebellum: Ataxia,
dysmetria of thought, and the cerebellar cognitive affec-
tive syndrome. J Neuropsychiatry Clin Neurosci 16:
367–378.
Schmahmann JD, Weilburg JB, Sherman JC (2007): The neuropsy-
chiatry of the cerebellum - insights from the clinic. Cerebellum
6:254–267.
Schubert E (1996): Enjoyment of negative emotions in music: An
associative network explanation. Psychol Music 24:18–28.
Shamay-Tsoory SG (2011): The neural bases for empathy. Neuro-
scientist 17:18–24.
Silani G, Lamm C, Ruff CC, Singer T (2013): Right supramarginal
gyrus is crucial to overcome emotional egocentricity bias in
social judgments. J Neurosci 33:15466–15476.
Skerry AE, Saxe R (2015): Neural representations of emotion are
organized around abstract event features. Curr Biol 25:
1945–1954.
Smith DV, Clithero JA, Boltuck SE, Huettel SA (2014): Functional
connectivity with ventromedial prefrontal cortex reflects sub-
jective value for social rewards. Soc Cogn Affect Neurosci 9:
2017–2025.
Stoodley CJ (2012): The cerebellum and cognition: Evidence from
functional imaging studies. Cerebellum 11:352–365.
Stoodley CJ, Schmahmann JD (2009): Functional topography in
the human cerebellum: A meta-analysis of neuroimaging stud-
ies. Neuroimage 44:489–501.
Suzuki M, Okamura N, Kawachi Y, Tashiro M, Arao H,
Hoshishiba T, et al. (2008): Discrete cortical regions associated
with the musical beauty of major and minor chords. Cogn
Affect Behav Neurosci 8:126–131.
Taruffi L, Koelsch S (2014): The paradox of music-evoked sadness:
An online survey. PLoS One 9:e110490.
Tsukiura T, Cabeza R (2011): Shared brain activity for aesthetic
and moral judgments: Implications for the Beauty-is-Good ste-
reotype. Soc Cogn Affect Neurosci 6:138–148.
Vartanian O, Goel V (2004): Neuroanatomical correlates of aes-
thetic preference for paintings. Neuroreport 15:893–897.
Vartanian O, Navarrete G, Chatterjee A, Fich LB, Leder H,
Modrono C, et al. (2013): Impact of contour on aesthetic judg-
ments and approach-avoidance decisions in architecture. Proc
Natl Acad Sci USA 110(Suppl 2):10446–10453.
rExperience of Sorrowful Beauty r
r4199 r
Vessel EA, Starr GG, Rubin N (2012): The brain on art: Intense
aesthetic experience activates the default mode network. Front
Hum Neurosci 6:66.
Wang T, Mo L, Mo C, Tan LH, Cant JS, Zhong L, et al.
(2015): Is moral beauty different from facial beauty? Evi-
dence from an fMRI study. Soc Cogn Affect Neurosci 10:
814–823.
Weiskopf N, Hutton C, Josephs O, Deichmann R (2006): Optimal
EPI parameters for reduction of susceptibility-induced BOLD
sensitivity losses: A whole-brain analysis at 3 T and 1.5 T.
Neuroimage 33:493–504.
Weissman DH, Perkins AS, Woldorff MG (2008): Cognitive control
in social situations: A role for the dorsolateral prefrontal cor-
tex. Neuroimage 40:955–962.
Zeki S, Stutters J (2012): A brain-derived metric for preferred
kinetic stimuli. Open Biol 2:120001.
Zeki S, Watson JD, Lueck CJ, Friston KJ, Kennard C, Frackowiak
RS (1991): A direct demonstration of functional specialization
in human visual cortex. J. Neurosci 11:641–649.
Zeki S, Romaya JP, Benincasa DM, Atiyah MF (2014): The experi-
ence of mathematical beauty and its neural correlates. Front
Hum Neurosci 8:68.
rIshizu and Zeki r
r4200 r

Supplementary resource (1)

... How exactly does the human brain respond to aesthetically more and less attractive objects? In a number of neuroimaging studies, it is observed that in response to objects that are aesthetically pleasing, the structures of the reward system are activated [7][8][9][10][11]. In the study [12], when subjects perceived images previously rated as "beautiful" (landscapes, portraits, etc.), an increase in the BOLD signal in the orbitofrontal cortex (the structure of the reward system) was observed, and when perceiving "ugly" images, regardless of their category, an increase in the BOLD signal (activation) in the motor cortex was revealed. ...
... A decrease of event related power in the α-band was observed with better recognition of visual patterns [55], lower values of the power of the α-rhythm (8)(9)(10)(11)(12) in the interval before performing the visual task to discriminate against short stimuli were typical for people who better performed this task [56]. The authors suggested that the activation of the cortex, which is characterized by small amplitudes of the α-rhythm, is associated with a more detailed analysis of the visual stimuli. ...
... In the study of the perception of abstract and representative (concrete) paintings [27], larger EEG power values in the frequencies (7)(8)(9)(10)(11)(12)(13) were the characteristic for non-artists when viewing and imagining abstract paintings, while when viewing representative paintings, the power in the α band was lower and did not differ from that of artists. The authors consider the increase in power in the EEG α-band as an indicator of central control (top-down), since non-artists could look for meanings and high-order associations for judgment on abstract paintings without focusing on extracting and organizing the visual features of images. ...
... How exactly does the human brain respond to aesthetically more and less attractive objects? In a number of neuroimaging studies, it is observed that in response to objects that are aesthetically pleasing, the structures of the reward system are activated [7][8][9][10][11]. In the study [12], when subjects perceived images previously rated as "beautiful" (landscapes, portraits, etc.), an increase in the BOLD signal in the orbitofrontal cortex (the structure of the reward system) was observed, and when perceiving "ugly" images, regardless of their category, an increase in the BOLD signal (activation) in the motor cortex was revealed. ...
... A decrease of event related power in the α-band was observed with better recognition of visual patterns [55], lower values of the power of the α-rhythm (8)(9)(10)(11)(12) in the interval before performing the visual task to discriminate against short stimuli were typical for people who better performed this task [56]. The authors suggested that the activation of the cortex, which is characterized by small amplitudes of the α-rhythm, is associated with a more detailed analysis of the visual stimuli. ...
... In the study of the perception of abstract and representative (concrete) paintings [27], larger EEG power values in the frequencies (7)(8)(9)(10)(11)(12)(13) were the characteristic for non-artists when viewing and imagining abstract paintings, while when viewing representative paintings, the power in the α band was lower and did not differ from that of artists. The authors consider the increase in power in the EEG α-band as an indicator of central control (top-down), since non-artists could look for meanings and high-order associations for judgment on abstract paintings without focusing on extracting and organizing the visual features of images. ...
Article
Twenty-eight people (30–70 years old, 12 men, 16 women, artists and non-artists) participated in a comparative neuroaesthetic study in the conditions of real-life visit to M. Vrubel mono-exhibition (Russian Museum, St. Petersburg). During the visit to the exhibition (usually lasted for around 60 min), EEG of participants was recorded. The subjects were looking at the paintings for 30 seconds to 3 min and evaluated the subjective aesthetic “attractiveness” of the paintings by a series of button presses (from 1 to 10). Were analyzed EEG spectral power in the α1 (8–10 Hz)-, α2 (10–13 Hz)-, β1 (13–18 Hz)-, β2 (13–30 Hz)-frequency bands during viewing the most famous Vrubel paintings (“Bogatyr”, “Swan Princess”, “Swan”, “Sitting Demon”, “Flying Demon”, “Pan”, etc.) and event-related EEG synchronization/desynchronization in relation to the subjective emotional and aesthetic evaluation of these paintings. Professional artists showed lower spectral power values in α1 (leads F3, C3, T4, Pz) and α2 (F3, Fz, F4, C3, Cz, C4, P3, Pz, P4)-frequency bands in frontal, central, and parietal regions. The artists were also found to have lower power values in β1,2-frequency bands in frontal (F3, F4, C3) regions and higher power values in occipital (O1, O2 – β1, β2) and posterior temporal (β2) cortical regions compared to the group of subjects with no special artistic education. Moreover, artists decision-making about the high emotional-aesthetic attractiveness of paintings was accompanied by an increase in event-related EEG synchronization for 11.5–27 Hz in frontal and central cortical areas over 580–360 ms before giving the response, compared to non-artists, whereas low emotional-aesthetic evaluation was characterized by 9–27 Hz EEG desynchronization, which started 60 ms before the giving the response and lasted up to 440 ms after it, in the posterior temporal and parietal regions. The differences in frontal cortical areas may indicate a higher engagement of the reward system during the perception of aesthetically pleasing paintings, and the differences in parietal and posterior temporal areas may indicate a continuing visual synthesis (more sustained visual attention) during the perception of subjectively less attractive paintings in artists compared to non-artists.
... Studies have also begun to trace some general progressions in art perception, such as from an initial impression to detailed focus (Locher et al., 2010), and identify interactions between elements, such as between some specific emotions and appraisals (Silvia, 2005). This has been coupled with emerging interest in more profound states (Csikszentmihalyi & Robinson, 1990;Fingerhut & Prinz, 2018;Schlotz et al., 2021;Silvia & Nusbaum, 2011;Vessel et al., 2012;Wanzer et al., 2020), insight and self-reflection (Pelowski, 2015;Vessel et al., 2013), and even exploration of some compelling blends in responses, such as appreciation of confusion (Muth & Carbon, 2013) or visual pleasure from negative art (Cupchik & Wroblewski-Raya, 1998;Ishizu & Zeki, 2017). These topics expand beyond the lab and gallery, offering connections from fundamental questions regarding perception or affect, to other domains such as religion and sports (Brown & Dissanayake, 2018;Funch, 1997), and raise compelling questions regarding the unique impact of art experience in addressing societal challenges or wellbeing and health (Cuypers et al., 2012;Fancourt & Finn, 2019;Trupp et al., 2022Trupp et al., , 2023. ...
Article
Full-text available
Art-viewing is a defining component of society and culture, in part because the experience involves a wide-range and nuanced configuration of emotional and cognitive responses. Precisely because of this complexity, however, questions of the actual nature, scope, and variety of art experience remain largely unanswered: what kinds of patterns do we exhibit, how do various components go together, and can these be distilled into shared experiential outcomes? We introduce an exploratory study based on 345 individuals’ unique experiences with one of three sets of artworks. Experiences were assessed via 46 affective and cognitive items based on a recent model, with individuals reporting to what degree they felt each during their encounter. Network and latent profile analyses revealed five patterns, aligning to a Harmonious, Facile, Transformative, and two Negative outcomes. These largely supported model hypotheses, connected to specific appraisals, and could be found, although with varying probability, across individual viewers and artworks.
... Fushung Wang and Alfredo Pereira Jr. believe that all emotions we experience are induced by specific neuromodulators. Among the basic ones, they include dopamine, responsible for the perception of pleasant feelings and increased mOFC activity (see Kawabata, Zeki 2004), serotonin, which is released in increased amounts during sadness and suffering, but also when experiencing beauty based on nostalgia and sentiment (Ishizu, Zeki 2017), noradrenaline, released during fear and anger, and acetylcholine, important for calm contemplation and planning (Wang, Pereira 2016). Based on the different effects of these neuromodulators, they hypothesize an emotional plane that can be described by the dimension of calm vs. activity and pleasantness vs. unpleasantness. ...
Article
Full-text available
The present study investigates the depiction of anger in Western visual art, highlighting the paradox of this emotion: its inherent unpleasantness and repulsiveness versus its artistic representation. The authors examine historical transformations in the expression of anger and the mechanisms that render its depiction effective in art. Despite being a fundamental human emotion encountered from birth, anger is surprisingly scarce in Western visual art. Historical artworks often depict actions resulting from anger rather than capturing its raw emotional expression. Kelly Grovier's essay "Art of Feeling: Why We Should Celebrate Anger" posits that the rarity of anger’s depiction may stem from its classification as a deadly sin by early Christian teachings, which stigmatized the emotion. However, significant works such as Delacroix's "Medea" and Gentileschi's "Judith" juxtapose violent acts with serene facial expressions, underscoring a disconnect between action and emotional display. The repulsiveness and transformative impact of anger on human appearance make it a challenging subject for art. Yet, works like Cabanel's "Fallen Angel" and Gérôme's "Truth Coming Out of Her Well" explore this transformation, employing beauty to attract and distortion to repulse, thereby creating a Medusa-like effect. This duality engages viewers and evokes mixed emotions, which enhances an artwork's impact. Furthermore, anger can drive creative innovation, as demonstrated in works by Munch, Picasso, and Kahlo, where personal and societal grievances fuel artistic expression. However, prolonged anger may lead to destructive creativity, emphasizing the complex role of anger in art and its potential for both innovation and hostility. This multifaceted exploration underscores anger’s unique, albeit limited, place in visual arts and its dual capacity to repel and inspire.
... Studies have shown that the orbitofrontal cortex (OFC) exhibits different activities when perceiving beautiful and ugly stimuli and plays a crucial role in artistic creation of "beauty" in paintings [55][56][57][58]. There are significant differences in the ERP of the aesthetic response to artistic stimuli in the prefrontal region, and negative emotional stimuli (such as disgusting pictures) can trigger a larger-amplitude negative wave [59][60][61]. ...
Article
Full-text available
Background: Symmetry is a special kind of balance. This study aims to systematically explore and apply the role of balanced composition in aesthetic judgments by focusing on balanced composition features and employing research methods from computational aesthetics and neuroaesthetics. Methods: First, experimental materials were classified by quantifying balanced composition using several indices, including symmetry, center of gravity, and negative space. An EEG experiment was conducted with 18 participants, who were asked to respond dichotomously to the same stimuli under different judgment tasks (balance and aesthetics), with both behavioral and EEG data being recorded and analyzed. Subsequently, participants’ data were combined with balanced composition indices to construct and analyze various SVM classification models. Results: Participants largely used balanced composition as a criterion for aesthetic evaluation. ERP data indicated that from 300–500 ms post-stimulus, brain activation was more significant in the aesthetic task, with unbeautiful and imbalanced stimuli eliciting larger frontal negative waves and occipital positive waves. From 600–1000 ms, beautiful stimuli caused smaller negative waves in the PZ channel. The results of the SVM models indicated that the model incorporating aesthetic subject data (ACC = 0.9989) outperforms the model using only balanced composition parameters of the aesthetic object (ACC = 0.7074). Conclusions: Balanced composition is a crucial indicator in aesthetics, with similar early processing stages in both balance and aesthetic judgments. Multi-modal data models validated the advantage of including human factors in aesthetic evaluation systems. This interdisciplinary approach not only enhances our understanding of the cognitive and emotional processes involved in aesthetic judgments but also enables the construction of more reasonable machine learning models to simulate and predict human aesthetic preferences.
... The emotion-valuation neural system includes the orbitofrontal cortex (OFC) [92][93][94][95], ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), ventromedial prefrontal cortex (VMPFC), anterior insula, striatum, amygdala, and nucleus accumbens [90,93,[96][97][98][99][100]. These regions are associated with reward, emotion, evaluative judgement, and hedonic pleasures. ...
Article
Understanding the multifaceted nature of attractiveness (A), which encompasses physical beauty (PB), genuineness (GEN), self-confidence (SC), and prior experience (RE), is crucial for various domains, including psychology and clinical aesthetics. Previous studies have often isolated specific elements, failing to capture their intricate interplay. This study aims to develop a comprehensive equation for attractiveness using computational neuroaesthetics. The study began with a pilot study involving 250 participants (50 experts and 200 laypersons) who prerated 500 facial images on a Likert scale for traits such as physical beauty, genuineness, self-confidence, and perceived prior experience. Following the pilot, the main study recruited 11,780 participants through diverse media channels to rate a new set of 1,000 facial images. Advanced computational techniques, including multiple linear regression and Bayesian hierarchical modelling, were employed to analyse the data and formulate an attractiveness equation. The analysis identified genuineness as the most significant factor, followed by physical beauty, self-confidence, and prior experience. The proposed equation for attractiveness, refined through Bayesian modelling, is: \begin{gathered} A = \beta_{0} + ( \beta_{{1}} \cdot {\text{PB}} + \beta_{{2}} \cdot {\text{GEN}} + \beta_{{3}} \cdot {\text{SC}} + \beta_{{4}} \cdot {\text{PE}} )+ \epsilon \hfill \\ A = {1}.{82} +( 0.{34} \cdot {\text{PB}} + 0.{44} \cdot {\text{GEN}} + 0.{26} \cdot {\text{SC}} + 0.{16} \cdot {\text{PE}} )+ \epsilon \hfill \\ \end{gathered} (β0 is the intercept; β1, β2, β3, β4 are the coefficients for each factor; and ϵ is the error term) The findings underscore the paramount importance of psychological traits in attractiveness assessments, suggesting a shift from purely physical enhancements to holistic interventions in clinical settings. This model provides a robust framework for understanding attractiveness and has potential applications in psychology, marketing, and AI. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Chapter
Biometrics is the collection, measurement, and analysis of both physical and behavioral attributes in individuals. While the evaluation of physical traits is commonly employed for authentication purposes, the investigation of quantifiable behavioral characteristics is utilized to observe and measure how individuals react to their environment. Depending on the focus of a study, there may also be a gathering of valence data to be correlated with the physical response data. Biometric measurements can serve as a solid foundation for architects and designers to make data-driven decisions throughout the design process. In cases involving existing structures, biometric data can be applied for post-occupancy analysis, in conjunction with standard methods.
Article
Full-text available
Art research has long aimed to unravel the complex associations between specific attributes, such as color, complexity, and emotional expressiveness, and art judgments, including beauty, creativity, and liking. However, the fundamental distinction between attributes as inherent characteristics or features of the artwork and judgments as subjective evaluations remains an exciting topic. This paper reviews the literature of the last half century, to identify key attributes, and employs machine learning, specifically Gradient Boosted Decision Trees (GBDT), to predict 13 art judgments along 17 attributes. Ratings from 78 art novice participants were collected for 54 Western artworks. Our GBDT models successfully predicted 13 judgments significantly. Notably, judged creativity and disturbing/irritating judgments showed the highest predictability, with the models explaining 31% and 32% of the variance, respectively. The attributes emotional expressiveness, valence, symbolism, as well as complexity emerged as consistent and significant contributors to the models’ performance. Content-representational attributes played a more prominent role than formal-perceptual attributes. Moreover, we found in some cases non-linear relationships between attributes and judgments with sudden inclines or declines around medium levels of the rating scales. By uncovering these underlying patterns and dynamics in art judgment behavior, our research provides valuable insights to advance the understanding of aesthetic experiences considering visual art, inform cultural practices, and inspire future research in the field of art appreciation.
Article
Full-text available
Neuroaesthetics has been searching for the neural bases of the subjective experience of beauty. It has been demonstrated that neural activities in the medial prefrontal cortex (mPFC) and the left primary motor cortex (lPMC) correlate with the subjective experience of beauty. Although beauty and ugliness seem to be semantically and conceptually opposite, it is still unknown whether these two evaluations represent extreme opposites in unitary or bivariate dimensions. In this study, we applied transcranial direct current stimulation (tDCS) to examine whether non-invasive brain stimulation modulates two types of esthetic evaluation; evaluating beauty and ugliness. Participants rated the subjective beauty and ugliness of abstract paintings before and after the application of tDCS. Application of cathodal tDCS over the mPFC with anode electrode over the lPMC, which induced temporal inhibition of neural excitability of the mPFC, led to a decrease in beauty ratings but not ugliness ratings. There were no changes in ratings of both beauty and ugliness when applying anodal tDCS or sham stimulation over the mPFC. Results from our experiment indicate that the mPFC and the lPMC have a causal role in generating the subjective experience of beauty, with beauty and ugliness evaluations constituting two distinct dimensions.
Article
Full-text available
Sadness is generally seen as a negative emotion, a response to distressing and adverse situations. In an aesthetic context, however, sadness is often associated with some degree of pleasure, as suggested by the ubiquity and popularity, throughout history, of music, plays, films and paintings with a sad content. Here, we focus on the fact that music regarded as sad is often experienced as pleasurable. Compared to other art forms, music has an exceptional ability to evoke a wide-range of feelings and is especially beguiling when it deals with grief and sorrow. Why is it, then, that while human survival depends on preventing painful experiences, mental pain often turns out to be explicitly sought through music? In this article we consider why and how sad music can become pleasurable. We offer a framework to account for how listening to sad music can lead to positive feelings, contending that this effect hinges on correcting an ongoing homeostatic imbalance. Sadness evoked by music is found pleasurable: (1) when it is perceived as non-threatening; (2) when it is aesthetically pleasing; and (3) when it produces psychological benefits such as mood regulation, and empathic feelings, caused, for example, by recollection of and reflection on past events. We also review neuroimaging studies related to music and emotion and focus on those that deal with sadness. Further exploration of the neural mechanisms through which stimuli that usually produce sadness can induce a positive affective state could help the development of effective therapies for disorders such as depression, in which the ability to experience pleasure is attenuated.
Article
Full-text available
Observing paired colors with a different hue (in terms of chroma and lightness) engenders pleasantness from such harmonious combinations; however, negative reactions can emerge from disharmonious combinations. Currently, neural mechanisms underlying the esthetic and emotional aspects of color perception remain unknown. The current study reports evidence regarding the neural correlates of color harmony and disharmony. Functional magnetic resonance imaging was used to assess brain regions activated by harmonious or disharmonious color combinations in comparison to other stimuli. Results showed that the left medial orbitofrontal cortex (mOFC) and left amygdala were activated when participants observed harmonious and disharmonious stimuli, respectively. Taken together, these findings suggest that color disharmony may depend on stimulus properties and more automatic neural processes mediated by the amygdala, whereas color harmony is harder to discriminate based on color characteristics and is reflected by the esthetic value represented in the mOFC. This study has a limitation that we could not exclude the effect of preference for color combination, which has a strong positive correlation with color harmony.
Article
Full-text available
Although previous neuroimaging research has identified overlapping correlates of subjective value across different reward types in the ventromedial pFC (vmPFC), it is not clear whether this “common currency” evaluative signal extends to the aesthetic domain. To examine this issue, we scanned human participants with fMRI while they made attractiveness judgments of faces and places—two stimulus categories that are associated with different underlying rewards, have very different visual properties, and are rarely compared with each other. We found overlapping signals for face and place attractiveness in the vmPFC, consistent with the idea that this region codes a signal for value that applies across disparate reward types and across both economic and aesthetic judgments. However, we also identified a subregion of vmPFC within which activity patterns for face and place attractiveness were distinguishable, suggesting that some category-specific attractiveness information is retained in this region. Finally, we observed two separate functional regions in lateral OFC: one region that exhibited a category-unique response to face attractiveness and another region that responded strongly to faces but was insensitive to their value. Our results suggest that vmPFC supports a common mechanism for reward evaluation while also retaining a degree of category-specific information, whereas lateral OFC may be involved in basic reward processing that is specific to only some stimulus categories.
Article
Full-text available
Philosophies of aesthetics have posited that experience of the sublime—commonly but not exclusively derived from scenes of natural grandeur—is distinct from that of beauty and is a counterpoint to it. We wanted to chart the pattern of brain activity which correlates with the declared intensity of experience of the sublime, and to learn whether it differs from the pattern that correlates with the experience of beauty, reported in our previous studies (e.g., Ishizu and Zeki, 2011). 21 subjects participated in a functional magnetic resonance imaging experiment. Prior to the experiment, they viewed pictures of landscapes, which they rated on a scale of 1–5, with 5 being the most sublime and 1 being the least. This allowed us to select, for each subject, five sets of stimuli—from ones experienced as very sublime to those experienced as not at all sublime—which subjects viewed and re-rated in the scanner while their brain activity was imaged. The results revealed a distinctly different pattern of brain activity from that obtained with the experience of beauty, with none of the areas active with the latter experience also active during experience of the sublime. Sublime and beautiful experiences thus appear to engage separate and distinct brain systems.
Article
Full-text available
This study explores listeners' experience of music-evoked sadness. Sadness is typically assumed to be undesirable and is therefore usually avoided in everyday life. Yet the question remains: Why do people seek and appreciate sadness in music? We present findings from an online survey with both Western and Eastern participants (N = 772). The survey investigates the rewarding aspects of music-evoked sadness, as well as the relative contribution of listener characteristics and situational factors to the appreciation of sad music. The survey also examines the different principles through which sadness is evoked by music, and their interaction with personality traits. Results show 4 different rewards of music-evoked sadness: reward of imagination, emotion regulation, empathy, and no "real-life" implications. Moreover, appreciation of sad music follows a mood-congruent fashion and is greater among individuals with high empathy and low emotional stability. Surprisingly, nostalgia rather than sadness is the most frequent emotion evoked by sad music. Correspondingly, memory was rated as the most important principle through which sadness is evoked. Finally, the trait empathy contributes to the evocation of sadness via contagion, appraisal, and by engaging social functions. The present findings indicate that emotional responses to sad music are multifaceted, are modulated by empathy, and are linked with a multidimensional experience of pleasure. These results were corroborated by a follow-up survey on happy music, which indicated differences between the emotional experiences resulting from listening to sad versus happy music. This is the first comprehensive survey of music-evoked sadness, revealing that listening to sad music can lead to beneficial emotional effects such as regulation of negative emotion and mood as well as consolation. Such beneficial emotional effects constitute the prime motivations for engaging with sad music in everyday life.
Article
Full-text available
Is moral beauty different from facial beauty? Two functional magnetic resonance imaging experiments were performed to answer this question. Experiment 1 investigated the network of moral aesthetic judgments and facial aesthetic judgments. Participants performed aesthetic judgments and gender judgments on both faces and scenes containing moral acts. The conjunction analysis of the contrasts ‘facial aesthetic judgment > facial gender judgment’ and ‘scene moral aesthetic judgment > scene gender judgment’ identified the common involvement of the orbitofrontal cortex (OFC), inferior temporal gyrus and medial superior frontal gyrus, suggesting that both types of aesthetic judgments are based on the orchestration of perceptual, emotional and cognitive components. Experiment 2 examined the network of facial beauty and moral beauty during implicit perception. Participants performed a non-aesthetic judgment task on both faces (beautiful vs common) and scenes (containing morally beautiful vs neutral information). We observed that facial beauty (beautiful faces > common faces) involved both the cortical reward region OFC and the subcortical reward region putamen, whereas moral beauty (moral beauty scenes > moral neutral scenes) only involved the OFC. Moreover, compared with facial beauty, moral beauty spanned a larger-scale cortical network, indicating more advanced and complex cerebral representations characterizing moral beauty.
Article
Full-text available
Background Theory and research suggest that sensory processing sensitivity (SPS), found in roughly 20% of humans and over 100 other species, is a trait associated with greater sensitivity and responsiveness to the environment and to social stimuli. Self-report studies have shown that high-SPS individuals are strongly affected by others' moods, but no previous study has examined neural systems engaged in response to others' emotions.Methods This study examined the neural correlates of SPS (measured by the standard short-form Highly Sensitive Person [HSP] scale) among 18 participants (10 females) while viewing photos of their romantic partners and of strangers displaying positive, negative, or neutral facial expressions. One year apart, 13 of the 18 participants were scanned twice.ResultsAcross all conditions, HSP scores were associated with increased brain activation of regions involved in attention and action planning (in the cingulate and premotor area [PMA]). For happy and sad photo conditions, SPS was associated with activation of brain regions involved in awareness, integration of sensory information, empathy, and action planning (e.g., cingulate, insula, inferior frontal gyrus [IFG], middle temporal gyrus [MTG], and PMA).Conclusions As predicted, for partner images and for happy facial photos, HSP scores were associated with stronger activation of brain regions involved in awareness, empathy, and self-other processing. These results provide evidence that awareness and responsiveness are fundamental features of SPS, and show how the brain may mediate these traits.
Article
Research on emotion attribution has tended to focus on the perception of overt expressions of at most five or six basic emotions. However, our ability to identify others' emotional states is not limited to perception of these canonical expressions. Instead, we make fine-grained inferences about what others feel based on the situations they encounter, relying on knowledge of the eliciting conditions for different emotions. In the present research, we provide convergent behavioral and neural evidence concerning the representations underlying these concepts. First, we find that patterns of activity in mentalizing regions contain information about subtle emotional distinctions conveyed through verbal descriptions of eliciting situations. Second, we identify a space of abstract situation features that well captures the emotion discriminations subjects make behaviorally and show that this feature space outperforms competing models in capturing the similarity space of neural patterns in these regions. Together, the data suggest that our knowledge of others' emotions is abstract and high dimensional, that brain regions selective for mental state reasoning support relatively subtle distinctions between emotion concepts, and that the neural representations in these regions are not reducible to more primitive affective dimensions such as valence and arousal. Copyright © 2015 Elsevier Ltd. All rights reserved.
Article
Lay intuitions suggest that the ability to share, celebrate, and enjoy others’ positive emotions—a phenomenon we term positive empathy—bolsters individual well-being and relationship strength. However, it is unclear from the current literature whether (i) positive empathy is distinct from highly related constructs and (ii) whether positive empathy is associated with salutary social and personal outcomes. Here, we begin by examining basic evidence suggesting that positive empathy is related to, but independent from constructs such as general positivity or empathy for others’ distress. We then review evidence that positive empathy correlates with increased prosocial behavior, social closeness, and well-being. Lastly, we discuss open directions for the study of positive empathy, such as investigating the potential role of positive empathy (or its disruption) in psychiatric disorders.