Content uploaded by Robert Zatorre
Author content
All content in this area was uploaded by Robert Zatorre on Mar 02, 2014
Content may be subject to copyright.
nature neurOSCIenCe VOLUME 14 | NUMBER 2 | FEBRUARY 2011 257
a r t I C l e S
Humans experience intense pleasure to certain stimuli, such as food,
psychoactive drugs and money; these rewards are largely mediated
by dopaminergic activity in the mesolimbic system, which has been
implicated in reinforcement and motivation (see ref. 1 for a review).
These rewarding stimuli are either biological reinforcers that are
necessary for survival, synthetic chemicals that directly promote
dopaminergic neurotransmission, or tangible items that are secondary
rewards. However, humans have the ability to obtain pleasure from
more abstract stimuli, such as music and art, which are not directly
essential for survival and cannot be considered to be secondary
or conditioned reinforcers. These stimuli have persisted through
cultures and generations and are pre-eminent in most people’s lives.
Notably, the experience of pleasure to these abstract stimuli is highly
specific to cultural and personal preferences, which can vary tremen-
dously across individuals.
Most people agree that music is an especially potent pleasurable
stimulus2 that is frequently used to affect emotional states. It has
been empirically demonstrated that music can effectively elicit highly
pleasurable emotional responses3,4 and previous neuroimaging stud-
ies have implicated emotion and reward circuits of the brain during
pleasurable music listening5–8, particularly the ventral striatum5–7,
suggesting the possible involvement of dopaminergic mechanisms9.
However, the role of dopamine has never been directly tested. We
used ligand-based positron emission tomography (PET) scanning to
estimate dopamine release specifically in the striatum on the basis of
the competition between endogenous dopamine and [11C]raclopride
for binding to dopamine D2 receptors10. Pleasure is a subjective pheno-
menon that is difficult to assess objectively. However, physiological
changes occur during moments of extreme pleasure, which can be
used to index pleasurable states in response to music. We used the
‘chills’ or ‘musical frisson’11 response, a well-established marker of
peak emotional responses to music5,12–14. Chills involve a clear and
discrete pattern of autonomic nervous system (ANS) arousal15, which
allows for objective verification through psychophysiological meas-
urements. Thus, the chills response can be used to objectively index
pleasure, a subjective phenomenon that would otherwise be difficult
to operationalize, and allows us to pinpoint the precise time of maxi-
mal pleasure.
Previous studies have typically used experimenter-selected musi-
cal stimuli6–8. However, musical preferences are highly individual-
ized; thus, to ensure maximal emotional responses, participants were
asked to select their own highly pleasurable music. After extensive
screening (Online Methods), we recruited a group of people who
consistently experienced objectively verifiable chills during their peak
emotional responses so that we could quantify both the occurrence
and the timing of the most intense pleasurable responses. We also
collected psychophysiological measurements (heart rate, respiration
rate, electrodermal skin conductance, blood volume pulse amplitude
and peripheral temperature) during the PET scans to verify ANS dif-
ferences between conditions. To account for psychoacoustical differ-
ences across self-selected stimuli, we matched musical excerpts using
a previously established procedure5, such that participants listened to
one another’s choices, which served as either pleasurable or neutral
stimuli. We predicted that if the rewarding aspects of music listen-
ing are mediated by dopamine, substantial [11C]raclopride binding
potential differences would be found between neutral and pleasurable
conditions in mesolimbic regions.
The second aim of our study was to explore the temporal dynamics
of any dopaminergic activity, as distinct anatomical circuits are thought
to underlie specific phases of reward responses16,17. That is, if there is
dopamine release, we wanted to examine whether it is associated with
the experience of the reward or with its anticipation18. Music provides
1Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada. 2International Laboratory for Brain, Music and Sound Research, Montreal, Quebec,
Canada. 3Centre for Interdisciplinary Research in Music Media and Technology, Montreal, Quebec, Canada. 4Centre for Intelligent Machines, McGill University,
Montreal, Quebec, Canada. Correspondence should be addressed to V.N.S. (valorie.salimpoor@mail.mcgill.ca) or R.J.Z. (robert.zatorre@mcgill.ca).
Received 7 October 2010; accepted 25 November 2010; published online 9 January 2011; doi:10.1038/nn.2726
Anatomically distinct dopamine release during
anticipation and experience of peak emotion to music
Valorie N Salimpoor1–3, Mitchel Benovoy3,4, Kevin Larcher1, Alain Dagher1 & Robert J Zatorre1–3
Music, an abstract stimulus, can arouse feelings of euphoria and craving, similar to tangible rewards that involve the striatal
dopaminergic system. Using the neurochemical specificity of [11C]raclopride positron emission tomography scanning, combined
with psychophysiological measures of autonomic nervous system activity, we found endogenous dopamine release in the striatum
at peak emotional arousal during music listening. To examine the time course of dopamine release, we used functional magnetic
resonance imaging with the same stimuli and listeners, and found a functional dissociation: the caudate was more involved
during the anticipation and the nucleus accumbens was more involved during the experience of peak emotional responses to
music. These results indicate that intense pleasure in response to music can lead to dopamine release in the striatal system.
Notably, the anticipation of an abstract reward can result in dopamine release in an anatomical pathway distinct from that
associated with the peak pleasure itself. Our results help to explain why music is of such high value across all human societies.
© 2011 Nature America, Inc. All rights reserved.
25 8 VOLUME 14 | NUMBER 2 | FEBRUARY 2011 nature neurOSCIenCe
a r t I C l e S
an innovative means of assessing this distinction because the temporal
unveiling of tonal arrangements elicits anticipatory responses that are
based on cognitive expectations and prediction cues11,19,20. These can
be examined to isolate the functional components that precede peak
pleasurable responses. As PET does not afford the temporal resolu-
tion required to examine this distinction, we combined the temporal
specificity of functional magnetic resonance imaging (fMRI) with the
neurochemical specificity of PET. We acquired fMRI scans with the
same participants and stimuli to examine the temporal profile of blood
oxygenation level–(BOLD) response specifically in those regions that
also showed dopamine release with PET. Striatal dopamine release and
BOLD responses are known to be correlated, although the relationship
is complex9,21. We predicted that regions revealing dopamine activity
in the PET data would show the largest increases in hemodynamic
response during peak emotional experiences. We separately analyzed
the BOLD data from epochs of peak pleasure and the time immediately
preceding these responses (that is, anticipation), based on participants’
real-time behavioral responses of when chills were experienced. Spatial
conjunction analyses were used to confine the analysis to those striatal
voxels showing both dopamine release from PET and increased BOLD
during fMRI, which ensured that we were measuring the hemodynamic
signal only from regions known to release dopamine in response to
the same stimuli. This multimodal procedure revealed a temporally
mediated distinction in dopamine release to anticipatory and consum-
matory responses in the dorsal and ventral striatum, respectively.
RESULTS
PET data: dopamine release and emotional arousal
PET scanning took place over two sessions. Participants listened to
either pleasurable music or neutral music during the entire session
while both subjective and objective indicators of emotional arousal
were collected. Subjective responses from rating scales included self-
reports of number of chills, intensity of chills and degree of pleasure
experienced from each excerpt. The mean number of chills for each
pleasurable music excerpt was 3.7 (s.d. = 2.8). A paired-samples t test
confirmed that greater pleasure was experienced during the pleasur-
able music condition over the neutral music condition (t(49) = 25.0,
P < 0.001). Notably, there was a significant positive correlation
between the reported intensity of chills and the reported degree of
pleasure (r = 0.71, P < 0.001), suggesting that the chills response is a
good representation of pleasure experienced amongst this group.
Objective measures of psychophysiological signals indicative of emo-
tional arousal collected during the two PET scanning sessions showed
significantly higher ANS activity during the pleasurable music condition
in all of the variables that we measured: namely, increases in heart rate
(P < 0.05), respiration (P < 0.001) and electrodermal response (P < 0.05),
and decreases in temperature (P < 0.01) and blood volume pulse ampli-
tude (P < 0.001; for values, see (Supplementary Table 1). Subjective
reports of the intensity of the chills response
collected via rating scales during PET scanning
were significantly correlated with the degree of
ANS arousal on all measures: increases in heart
rate (P < 0.05), respiration (P < 0.05) and elec-
trodermal response (P < 0.01), and decreases
Skin
conductance
Temperature
Blood volume pulse
amplitude
Heart rate
Respiration
Intensity of chills
∆ µS∆ °C∆
reflectance
∆ beats
per min
2
4 6 8 10
1
0
–1
–2
2
4 6 8 10
1
0
–1
–2
2
4 6 8 10
1
0
–1
–2
2
4 6 8 10
1
0
–1
–2
2
4 6 8 10
∆ breaths
per min
1
0
–1
–2
Figure 1 Positive correlation between emotional arousal and intensity
of chills during PET scanning. The mean intensity of chills reported
by each participant during the PET scanning session was significantly
correlated with psychophysiological measurements that were also acquired
during the scan. These are indicative of increased sympathetic nervous
system activity, suggesting that the intensity of chills is a good marker of
peak emotional arousal (Supplementary Table 1). The y axis represents
standardized z scores for each biosignal. See main text for P-values.
b
Left caudate
Neutral
Left putamen
Left NAcc/ventral
putamen
Right NAcc
Right putamen
Chills Neutral Chills
3.6 ∆6.4%
∆6.6% ∆7.4%
∆6.5% ∆9.2%
∆7.9%
∆BP
∆BP
3.0
2.4
1.8
Neutral Chills Neutral Chills
3.6
∆BP
3.0
2.4
1.8
Neutral Chills
3.6
∆BP
3.0
2.4
1.8
Neutral Chills
3.6
∆BP
3.0
2.4
1.8
3.6
∆BP
3.0
2.4
1.8
3.6
3.0
2.4
1.8
Right caudate
a
Caudate
0
x = 10 y = 19 z = 7
x = 23 y = 1 z = 1
x = 10 y = 12 z = –10
6
Putamen
NAcc
Figure 2 Evidence for dopamine release during
pleasurable music listening. (a) Statistical
parametric maps (t statistic on sagittal,
coronal and axial slices) reveal significant
(P < 0.001) [11C]raclopride binding potential (BP)
decreases bilaterally in the caudate, putamen
and NAcc (white arrows) during pleasurable
compared with neutral music listening
(Supplementary Table 2), indicating increased
dopamine release during pleasurable music.
(b) Changes in binding potential (BP) values
plotted separately for each individual; note that
the change was consistent for the majority of
people at each site.
© 2011 Nature America, Inc. All rights reserved.
nature neurOSCIenCe VOLUME 14 | NUMBER 2 | FEBRUARY 2011 259
a r t I C l e S
in temperature (P < 0.05) and blood volume pulse amplitude (P < 0.05;
(Fig. 1 and Supplementary Table 1). This finding further verified that
the chills response is a good objective representation of peak emotional
arousal in this group.
Analysis of PET data (Supplementary Methods) revealed increased
endogenous dopamine transmission, as indexed by decreases in
[11C]raclopride binding potential, bilaterally in both the dorsal and
ventral striatum (P < 0.001; Fig. 2a) when contrasting the pleasurable
music with the neutral music condition. The percentage of dopamine
binding potential change was highest in the right caudate and the right
nucleus accumbens (NAcc; Fig. 2b and Supplementary Table 2). These
results indicate that the experience of pleasure while listening to music
is associated with dopamine release in striatal reward systems.
fMRI data: temporal specificity of reward responses
To gain information about the dynamics of dopamine release over time,
we acquired fMRI scans during presentation of pleasurable and neutral
music excerpts. Listeners indicated by button press when they experi-
enced chills (mean = 3.1 chills per excerpt, s.d. = 0.9); these responses
were then used post hoc to identify anticipation and peak experience
time periods (Fig. 3a). Anticipation epochs were defined as 15 s before
the peak experiences. BOLD responses for each of these epochs were
compared with periods in which participants reported feeling neutral
during the same musical excerpts. The result of this contrast for each
of the events was then spatially conjoined with a mask of regions that
had released dopamine according to the [11C]raclopride PET scan. We
found that hemodynamic activity in the regions showing dopamine
release was not constant throughout the excerpt, but was restricted
to moments before and during chills and, critically, was anatomically
distinct. During peak pleasure experience epochs, as compared with
neutral epochs, there was increased BOLD response in the right NAcc
(x, y, z = 8, 10, −8; t = 2.8; Fig. 3b). In contrast, increased BOLD
response was also found during the anticipation epochs, but was largely
confined to the right caudate (x, y, z = 14, −6, 20; t = 3.2; Fig. 3b).
The temporal dynamics of the reward response and its relationship
to the caudate and NAcc clusters can be more specifically analyzed
by examining the percent BOLD signal change occurring over time
in relation to peak pleasure. To avoid the ‘circularity’ problem22 , we
Figure 3 Combined fMRI and PET results
reveal temporal distinctions in regions showing
dopamine release. (a) [11C]raclopride PET
scan results were spatially conjoined with the
fMRI results by creating a mask of significant
dopamine release overlayed on BOLD response
t maps during each condition. (b) Hemodynamic
responses and dopamine activity were maximal
in the caudate during anticipatory phases,
but shifted more ventrally to NAcc during
peak emotional responses. (c) Percent signal
change in BOLD response relative to the
mean was calculated from the peak voxel of
the caudate and NAcc clusters based on the
[11C]raclopride PET data. Voxels showing
maximum dopamine release in the caudate and
NAcc (Supplementary Table 2) were identified
and percent BOLD signal change was calculated
during the fMRI epochs associated with peak
emotional responses; values were interpolated
for each second preceding this response for
each individual, up to 15 s, which was defined as the anticipatory period based on previous findings15 (see Online Methods for additional details). We
found increased activity during anticipation (A1-A15) and decreased activity during peak emotional response (C1-C4) for the caudate, but a continuous
increase in activity in NAcc with a maximum during peak emotional responses. The mean signal for neutral epochs for the NAcc and caudate clusters
are also plotted for reference, as are the 5 s preceding the anticipation epochs.
a
fMRI
Hemodynamic
(BOLD)
Neurochemical
(dopamine
binding)
VOI
Mean neutral
Time series of peak dopaminergic voxels
1
0
–5
–4
–3
–2
–1
A1
A2
A3
A4
A5
A6
A7
A8
A9
A10
A11
A12
A13
A14
A15
C1
C2
C3
C4
–1
Percent signal
change
PET
Temporally mediated BOLD response
in dorsal and ventral striatum
fMRI
PET
Anticipation Experience 0
3
y = 4 y = 11
Anticipation Experience
c
b
Right caudate
Right NAcc
Figure 4 Brain and behavior relationships
involving temporal components of pleasure
during music listening. Left, coronal slices
showing binding potential differences in dorsal
(top) and ventral (bottom) striatum that also
show hemodynamic activity during anticipation
versus experience of chills, respectively. Right,
behavioral ratings of the number and intensity
of chills and pleasure reported during the
PET scans plotted against [11C]raclopride
binding potential changes in the two clusters.
The number of chills reported was positively
correlated with percent binding potential
change in the caudate (*P < 0.05), which was
linked to BOLD response immediately preceding
chills (that is, anticipatory periods), consistent
with the idea that a greater number of chills
would result in greater anticipation and result in more activity in the areas associated with anticipation. The mean intensity of chills and reported
pleasure were positively correlated with the NAcc (**P < 0.01), which was linked to BOLD response during chills, confirming that this region is involved
in the experience of the highly pleasurable component of music listening.
Percentage change
in BP
Combined hemodynamic and
neurochemical activity
Immediately preceding chills
Number
of chills
20
10
0
20
10
0
10 20 30 40 1086 1086
r = 0.71*
r = 0.80*
r = 0.84**
Intensity
of chills
[11C]raclopride PET
Reported
pleasure
During experience of chills
3
Percentage change
in BP
Caudate
y = 4
NAcc
y = 11
0
© 2011 Nature America, Inc. All rights reserved.
26 0 VOLUME 14 | NUMBER 2 | FEBRUARY 2011 nature neurOSCIenCe
a r t I C l e S
derived our voxels of interest (VOIs) from the PET data, which are
independent of the fMRI data. This procedure also allowed us to
better integrate the hemodynamic and neurochemical results. We
found that activity in both the caudate and NAcc was increased during
anticipation as compared with the mean signal during the neutral
epochs for the same pieces of music, with larger increases occurring in
the caudate (Fig. 3c). During the peak emotional response, however,
activity in the caudate decreased, whereas activity in the NAcc con-
tinued to increase. These findings support our fMRI contrast results
and provide temporal information as to how hemodynamic activity
in the regions showing dopamine release may contribute to reward
processing in real time.
Brain-behavior relationships
Once we had identified, via fMRI, the caudate and NAcc as contrib-
uting to the anticipation and experience, respectively, of peak plea-
sure moments during music listening, we used our PET scan data to
further explore the brain and behavior relationships in these clus-
ters. Mean [11C]raclopride binding potential values from the NAcc
and caudate clusters was plotted against behavioral data obtained
during PET scanning, which required participants to indicate the
total number of chills, mean intensity of chills and mean subjective
pleasure experienced during each piece of music. We found that the
number of chills was significantly correlated (P < 0.05) with binding
potential differences in the right caudate, but not the NAcc, whereas
the intensity of chills and overall degree of pleasure experienced were
most significantly correlated (P < 0.01) with binding potential change
in the right NAcc, but not the caudate (Fig. 4 and Supplementary
Table 3). This finding further supports a functional dissociation in
the contribution of these anatomical regions to pleasure associated
with music listening.
An additional question is whether increases in pleasure alone, in
the absence of chills, result in increased hemodynamic responses in
the same areas as during the experience of chills, although perhaps
not to the same extent. We examined this question by determining
whether there was a linear relationship between increases in plea-
sure and hemodynamic activity in the right NAcc, irrespective of
chills, and how this compared with other striatal regions showing
dopamine release. This analysis was done by excluding all of the
epochs during which individuals experienced chills and examining
BOLD signal changes that related to increasing pleasure in the right
NAcc. Using the voxel that showed the maximum dopamine release
in the NAcc during the [11C]raclopride scan, we calculated the per-
cent BOLD signal change as subjective pleasure ratings increased
from neutral to low pleasure to high pleasure (excluding chills) for
each individual. Note that this analysis, unlike the one presented
above, does not take into account the temporal component, as all
epochs rated as having the same pleasure were averaged, regardless
of when they occurred with respect to chills. A regression analysis
revealed a significant linear trend in which the percent signal change
in the right NAcc accounted for 67% of the variability in subjective
pleasure ratings (t(19) = 6.18, P < 0.001). This finding suggests that
increases in subjective pleasure correspond to increases in neural
activity in the NAcc, in the same regions as those involved in the
chills responses and those that showed dopamine release in the PET
study, even though this analysis excluded all chills epochs.
Next, to ensure that increases in pleasure, irrespective of chills, are
not better predicted by activity in regions of the striatum other than
the right NAcc, we performed a similar analysis in all anatomical
clusters that had shown dopamine release in the PET study. We first
selected peak voxels from each cluster showing dopamine release from
the PET data and then extracted the percent BOLD signal change as
listeners reported increases in pleasure from the fMRI data; as before,
all chills epochs were excluded. A stepwise multiple regression analy-
sis was performed to examine which cluster’s hemodynamic responses
were best able to predict pleasure states. We found that hemodynamic
increase in the NAcc cluster was the most significant predictor
(P < 0.01) of increasing subjective pleasure (Supplementary Table 4).
However, at a lower statistical threshold of P < 0.05, bilateral caudate
clusters and the left NAcc/ventral putamen cluster could also pre-
dict pleasure states, but to a lower degree (31% and 43% for left and
right caudate, respectively, and 37% for the NAcc/ventral putamen).
Recruitment of the caudate is not surprising considering that anticipa-
tory periods result in a culmination of pleasurable emotional experi-
ences and the caudate was recruited during these pleasant anticipatory
moments. Indeed, the mean subjective pleasure rating provided by
listeners during the anticipatory epochs was 2.51 (s.d. = 0.55), which
was significantly higher than that of the entire excerpt (mean = 2.11,
s.d. = 0.019; t(246) = 8.5, P < 0.001).
Finally, when the percent BOLD signal change during the chills
epochs was included in the multiple regression analysis (Fig. 5), it was
apparent that the experience of chills represents the highest point of
hemodynamic activity in the NAcc. These findings converge to sug-
gest that the dorsal and ventral subdivisions of the striatum are most
involved during anticipation and experience of the peak emotional
responses during music listening, respectively.
DISCUSSION
Our results provide, to the best of our knowledge, the first direct evi-
dence that the intense pleasure experienced when listening to music
is associated with dopamine activity in the mesolimbic reward system,
including both dorsal and ventral striatum. This phylogenetically
ancient circuitry has evolved to reinforce basic biological behaviors
with high adaptive value. However, the rewarding qualities of music
listening are not obviously directly adaptive. That is, musical stimuli,
1.1
0.5
0
–0.5
1.1
0.5
0
–0.5
L caudate
(–13, 11, 7)
L putamen
(–29, –12, –8)
L Nacc/ventral
putamen (–21, 9, –10)
R caudate
(12, 6, 15)
R putamen
(26, –2, 0)
R NAcc
(14, 10, –10)
Percent signal change
Neut LP HP Chills Neut LP HP Chills Neut LP HP Chills
Real-time subjective pleasure rating
Figure 5 Brain and behavior relationships involving parametric increases
in pleasure during music listening. Relationship between real-time ratings
of pleasure during music listening and percent BOLD signal change
relative to the mean in regions showing dopamine release as identified via
PET. The chills epochs (shaded) were excluded from the analysis (values
shown here only for reference) to examine activity related to increases in
pleasure irrespective of chills. A regression analysis revealed that the NAcc,
and to a lesser extent the left and right caudate, significantly predicted
increases in pleasure ratings during each of the conditions (P < 0.05 and
P < 0.001, respectively; Supplementary Table 4). This analysis indicates
that activity in these regions increased with pleasure even when no chills
were experienced.LP, low pleasure; HP, high pleasure.
© 2011 Nature America, Inc. All rights reserved.
nature neurOSCIenCe VOLUME 14 | NUMBER 2 | FEBRUARY 2011 261
a r t I C l e S
similar to other aesthetic stimuli, are perceived as being rewarding
by the listener, rather than exerting a direct biological or chemical
influence. Furthermore, the perception that results in a rewarding
response is relatively specific to the listener, as there is large vari-
ability in musical preferences amongst individuals. Thus, through
complex cognitive mechanisms, humans are able to obtain pleasure
from music2, a highly abstract reward consisting of just a sequence
of tones unfolding over time, which is comparable to the pleasure
experienced from more basic biological stimuli.
One explanation for this phenomenon is that it is related to enhance-
ment of emotions3,15,20. The emotions induced by music are evoked,
among other things, by temporal phenomena, such as expectations,
delay, tension, resolution, prediction, surprise and anticipation11,19.
Indeed, we found a temporal dissociation between distinct regions
of the striatum while listening to pleasurable music. The combined
psychophysiological, neurochemical and hemodynamic procedure
that we used revealed that peaks of ANS activity that reflect the expe-
rience of the most intense emotional moments are associated with
dopamine release in the NAcc. This region has been implicated in
the euphoric component of psychostimulants such as cocaine23 and
is highly interconnected with limbic regions that mediate emotional
responses, such as the amygdala, hippocampus, cingulate and ven-
tromedial prefrontal cortex24. In contrast, immediately before the
climax of emotional responses there was evidence for relatively greater
dopamine activity in the caudate. This subregion of the striatum is
interconnected with sensor y, motor and associative regions of the
brain24,25 and has been typically implicated in learning of stimulus-
response associations24,26 and in mediating the reinforcing qualities
of rewarding stimuli such as food27. Our findings indicate that a sense
of emotional expectation, prediction and anticipation in response to
abstract pleasure can also result in dopamine release, but primarily in
the dorsal striatum. Previous studies have found that amphetamine-
induced dopamine release in the NAcc spreads to more dorsal regions
after repeated exposure to the drug28, which suggests that this area
may be involved in improved predictability and anticipation of a
reward. Similarly, previous studies involving rewards such as food
and smoking that contain a number of contextual predicting cues
(for example, odor and taste) also found dorsal striatum dopamine
release27,29. Conversely, in studies in which there were no contextual
cues or experience with the drugs involved, dopamine release was
largely observed in the ventral striatum30,31. Finally, evidence from
animal research also suggests that, as rewards become better pre-
dicted, the responses that initiated in the ventral regions move more
dorsally in the striatum32. These results are consistent with a model in
which repeated exposure to rewards associated with a specific context
gradually shift the response from ventral to dorsal and further suggest
that contextual cues that allow prediction of a reward, in our case the
sequences of tones leading up to the peak pleasure moments, may also
act as reward predictors mediated via the dorsal striatum.
Another noteworthy finding is the correspondence between behavio-
ral and imaging results, which strengthens the evidence for the distinct
roles of dorsal and ventral striatum. We found a positive correlation
between subject-reported intensity of chills and dopamine release in the
NAcc during [11C]raclopride PET scanning (Fig. 4), which confirms the
fMRI results that peak pleasure responses are associated with this region.
Furthermore, the number of chills reported by listeners during the PET
scan was correlated with dopamine release in the caudate (Fig. 4),
which is consistent with the fMRI results showing increased activity in
this region during anticipation of peak emotional responses; as greater
number of chills suggests increased incidence of anticipation, greater
dopamine release would be expected in this area.
It is important to note that chills are not necessarily pleasurable
per se, as they can be unpleasant in other contexts (for example, as
a result of intense fear). Instead, chills are physiological markers of
intense ANS arousal5,15,33,34, which in turn is believed to underlie
peak pleasure during music listening5,15; we used chills here only to
allow objective quantification of a highly subjective response that
would be otherwise difficult to measure and because they afford preci-
sion as to the time at which the peak pleasure occurred. As such, chills
are byproducts, and not a cause of the emotional responses. Thus,
it is important to clarify that, although chills index peak emotional
responses in this group of people, the specific experience of chills is
not necessary to result in neural activity in the striatum, a finding
that is consistent with less-specific analyses performed in previous
studies6–8. This conclusion is confirmed by our findings that, even
when the chills epochs were excluded from the analysis, there was still
a significant linear relationship between increases in self-reported
pleasure and increases in hemodynamic activity in the regions that
showed dopamine release (Fig. 5). Furthermore, when chills were
reported, maximal signal was seen in the NAcc voxels that showed
a linear increase as participants progressed from neutral to low plea-
sure to high pleasure, further confirming that chills represented the
peak of pleasure in this group. This finding is also consistent with the
finding that the degree of binding potential decrease in the NAcc for
each participant was positively correlated with the degree of pleasure
reported from listening to the musical excerpts, irrespective of the
number of chills that were experienced (Fig. 4).
It should be noted that there was some activity in the ventral stria-
tum during the anticipation phase at lower statistical thresholds,
consistent with other studies using different stimuli24. However, we
found that, during the anticipatory phase, there was also increased
BOLD response in the caudate (more so than the NAcc), which then
shifted more ventromedially as participants reported experiencing
peak reward (Fig. 3). This is an important finding because the stimu-
lus that we are using is a dynamic reward with a temporal component,
allowing examination of the reward in real time as it progresses from
anticipation to peak pleasure states, which is generally not possible
because of limitations with movement inside the PET scanner. Some
studies administered the pleasurable stimulus (for example, food)
immediately before the scan and measured subsequent dopamine
release27, in which case anticipation and consumption cannot be dis-
tinguished. Other studies measured the anticipation phase online,
with the promise of the delivery of the tangible reward after the scan,
in which case the consumption phase is missed35,36. Music is a unique
reward that allows assessment of all reward phases online, from the
point that a single note is heard to the point at which maximum plea-
sure is reached.
The anatomical dissociation between the anticipatory and consum-
matory phases during intensely pleasurable music listening suggests
that distinct mechanisms are involved. This distinction may map onto
the ‘wanting’ and ‘liking’ phases of a reward in an error prediction
model37. The anticipatory phase, set off by temporal cues signaling
that a potentially pleasurable auditory sequence is coming, can trigger
expectations of euphoric emotional states and create a sense of want-
ing and reward prediction. This reward is entirely abstract and may
involve such factors as suspended expectations and a sense of resolu-
tion. Indeed, composers and performers frequently take advantage
of such phenomena, and manipulate emotional arousal by violating
expectations in certain ways or by delaying the predicted outcome
(for example, by inserting unexpected notes or slowing tempo) before
the resolution to heighten the motivation for completion. The peak
emotional response evoked by hearing the desired sequence would
© 2011 Nature America, Inc. All rights reserved.
26 2 VOLUME 14 | NUMBER 2 | FEBRUARY 2011 nature neurOSCIenCe
a r t I C l e S
represent the consummatory or liking phase, representing fulfilled
expectations and accurate reward prediction. We propose that each
of these phases may involve dopamine release, but in different sub-
circuits of the striatum, which have different connectivity and func-
tional roles.
The notion that dopamine can be released in anticipation of an
abstract reward (a series of tones) has important implications for
understanding how music has become pleasurable. However, the pre-
cise source of the anticipation requires further investigation. A sense
of anticipation may arise through one’s familiarity with the rules that
underlie musical structure, such that listeners are anticipating the next
note that may violate or confirm their expectations, in turn leading
to emotional arousal, or alternatively it may arise through familiarity
with a specific piece and knowing that a particularly pleasant section
is coming up11. These components are not mutually exclusive, as the
second likely evolves from the first, and the overall anticipation is
likely to be a combination of both. Nonetheless, the subtle differences
that exist between them will need to be disentangled through future
experiments that are specifically designed to parse out this distinc-
tion. Abstract rewards are largely cognitive in nature and our results
pave the way for future work to examine nontangible rewards that
humans consider rewarding for complex reasons.
Dopamine is pivotal for establishing and maintaining behavior. If
music-induced emotional states can lead to dopamine release, as our
findings indicate, it may begin to explain why musical experiences
are so valued. These results further speak to why music can be effec-
tively used in rituals, marketing or film to manipulate hedonic states.
Our findings provide neurochemical evidence that intense emotional
responses to music involve ancient reward circuitry and serve as a
starting point for more detailed investigations of the biological sub-
strates that underlie abstract forms of pleasure.
METHODS
Methods and any associated references are available in the online
version of the paper at http://www.nature.com/natureneuroscience/.
Note: Supplementary information is available on the Nature Neuroscience website.
ACKNOWLEDGMENTS
We thank the staff of the Montreal Neurological Institute PET and MR Units
and the staff of the Centre for Interdisciplinary Research in Music Media and
Technology for help with data acquisition, M. Ferreira and M. Bouffard for their
assistance with data analysis, and G. Longo for assistance with stimulus preparation.
This research was supported by funding from the Canadian Institutes of Health
Research to R.J.Z., a Natural Science and Engineering Research Council stipend to
V.N.S., a Jeanne Timmins Costello award to V.N.S. and Centre for Interdisciplinary
Research in Music Media and Technology awards to V.N.S. and M.B.
AUTHOR CONTRIBUTIONS
V.N.S., R.J.Z. and A.D. designed the study. V.N.S. and M.B. performed all experiments.
V.N.S., M.B. and K.L. analyzed the data. V.N.S. and R.J.Z. wrote the manuscript.
COMPETING FINANCIAL INTERESTS
The authors declare no competing financial interests.
Published online at http://www.nature.com/natureneuroscience/.
Reprints and permissions information is available online at http://www.nature.com/
reprintsandpermissions/.
1. Egerton, A. et al. The dopaminergic basis of human behaviors: a review of molecular
imaging studies. Neurosci. Biobehav. Rev. 33, 1109–1132 (2009).
2. Dube, L. & Lebel, J. The content and structure of laypeople’s concept of pleasure.
Cogn. Emot. 17, 263–295 (2003).
3. Sloboda, J. & Juslin, P.N. Psychological perspectives on music and emotion. in
Music and Emotion: Theory and Research (ed. Sloboda, J.) 71–104 (Oxford
University Press, Oxford, 2001).
4. Krumhansl, C.L. An exploratory study of musical emotions and psychophysiology.
Can. J. Exp. Psychol. 51, 336–353 (1997).
5. Blood, A.J. & Zatorre, R.J. Intensely pleasurable responses to music correlate with
activity in brain regions implicated in reward and emotion. Proc. Natl. Acad. Sci.
USA 98, 11818–11823 (2001).
6. Menon, V. & Levitin, D.J. The rewards of music listening: response and physiological
connectivity of the mesolimbic system. Neuroimage 28, 175–184 (2005).
7. Koelsch, S., Fritz, T., Cramon, D., Muller, K. & Friederici, A.D. Investigating emotion
with music: an fMRI study. Hum. Brain Mapp. 27, 239–250 (2006).
8. Mitterschiffthaler, M.T., Fu, C.H.Y., Dalton, J., Andrew, C.M. & Williams, S.
A functional MRI study of happy and sad affective states induced by classical
music. Hum. Brain Mapp. 28, 1150–1162 (2007).
9. Knutson, B. & Gibbs, S.E. Linking nucelus accumbens dopamine and blood
oxygenation. Psychopharmacology (Berl.) 191, 813–822 (2007).
10. Laruelle, M. Imaging synaptic neurotransmission with in vivo binding competition
techniques: a critical review. J. Cereb. Blood Flow Metab. 20, 423–451 (2000).
11. Huron, D. & Hellmuth Margulis, E. Musical expectancy and thrills. in Music and
Emotion (eds. Juslin, P.N. & Sloboda, J.) (Oxford University Press, New York, 2009).
12. Grewe, O., Nagel, F., Kopiez, R. & Altenmuller, E. Emotions over time: synchronicity
and development of subjective, physiological, and facial affective reactions to music.
Emotion 7, 774–788 (2007).
13. Panksepp, J. The emotional source of “chills” induced by music. Music Percept. 13,
171–207 (1995).
14. Sloboda, J. Music structure and emotional response: some empirical findings.
Psychol. Music 19, 110–120 (1991).
15. Salimpoor, V.N., Benovoy, M., Longo, G., Cooperstock, J.R. & Zatorre, R.J. The
rewarding aspects of music listening are related to degree of emotional arousal.
PLoS ONE 4, e7487 (2009).
16. O’Doherty, J.P., Deichmann, R., Critchley, H.D. & Dolan, R. Neural responses during
anticipation of a primary taste reward. Neuron 33, 815–826 (2002).
17. Schultz, W., Dayan, P. & Montague, P.R. A neural substrate of prediction and reward.
Science 275, 1593–1599 (1997).
18. Wise, R.A. Dopamine, learning and motivation. Nat. Rev. Neurosci. 5, 483–494 (2004).
19. Huron, D. Sweet Anticipation: Music and the Psychology of Expectation (MIT Press,
Cambridge, Massachusetts, 2006).
20. Meyer, L.B. Emotion and Meaning in Music. (University of Chicago Press, Chicago,
1956).
21. Schott, B.H. et al. Mesolimbic functional magnetic resonance imaging activations
during reward anticipation correlate with reward-related ventral striatal dopamine
release. J. Neurosci. 28, 14311–14319 (2008).
22. Kriegeskorte, N., Simmons, W.K., Bellgowan, P.S. & Baker, C.I. Circular analysis in
systems neuroscience: the dangers of double dipping. Nat. Neurosci. 12, 535–540
(2009).
23. Volkow, N.D. et al. Relationship between subjective effects of cocaine and dopamine
transporter occupancy. Nature 386, 827–830 (1997).
24. Haber, S. & Knutson, B. The reward circuit: linking primate anatomy and human
imaging. Neuropharmacology 35, 4–26 (2010).
25. Haber, S.N., Kim, K.S., Mailly, P. & Calzavara, R. Reward-related cortical inputs
define a large striatal region in primates that interface with associative cortical
connections, providing a substrate for incentive-based learning. J. Neurosci. 26,
8368–8376 (2006).
26. Valentin, V.V. & O’Doherty, J.P. Overlapping prediction errors in dorsal striatum
during instrumental learning with juice and money reward in the human brain.
J. Neurophysiol. 102, 3384–3391 (2009).
27. Small, D.M., Jones-Gotman, M. & Dagher, A. Feeding-induced dopamine release in
dorsal striatum correlates with meal pleasantness ratings in healthy human
volunteers. Neuroimage 19, 1709–1715 (2003).
28. Boileau, I. et al. Modeling sensiitization to stimulants in humans: an [11C]raclopride/
positron emission tomography study in healthy men. Arch. Gen. Psychiatry 63,
1386–1395 (2006).
29. Barrett, S.P., Boileau, I., Okker, J., Pihl, R.O. & Dagher, A. The hedonic response
to cigarette smoking is proportional to dopamine release in the human striatum as
measured by positron emission tomography and [11C]raclopride. Synapse 54,
65–71 (2004).
30. Leyton, M. et al. Amphetamine-induced increases in extracellular dopamine, drug
wanting, and novelty seeking: a PET/[11C]raclopride study in healthy men.
Neuropsychopharmacology 27, 1027–1035 (2002).
31. Boileau, I. et al. Alcohol promotes dopamine release in the human nuclus
accumbens. Synapse 49, 226–231 (2003).
32. Everitt, B.J. & Robbins, T. Neural systems of reinforcement for drug addiction: from
actions to habits to compulsion. Nat. Neurosci. 8, 1481–1489 (2005).
33. Rickard, N.S. Intense emotional responses to music: a test of the physiological
arousal hypothesis. Psychol. Music 32, 371–388 (2004).
34. Grewe, O., Kopiez, R. & Altenmuller, E. Chills as an indicator of individual emotional
peaks. Ann. NY Acad. Sci. 1169, 351–354 (2009).
35. Zald, D.H. et al. Dopamine transmission in the human striatum during monetary
reward tasks. J. Neurosci. 24, 4105–4112 (2004).
36. Koepp, M.J. et al. Evidence for striatal dopamine release during a video game.
Nature 393, 266–268 (1998).
37. Zald, D.H. & Zatorre, R.J. On music and reward. in The Neurobiology of Sensation
and Reward (ed. Gottfried, J.A.) (CRC Press, 2011).
© 2011 Nature America, Inc. All rights reserved.
nature neurOSCIenCe
doi:10.1038/nn.2726
ONLINE METHODS
Participant screening and stimulus selection. 217 individuals responded to
advertisements requesting people who experience chills to music; after five rounds
of screening, the final group included eight participants. First, individuals pro-
vided ten pieces of instrumental music to which they experience intense pleasure
and “chills” without restrictions to the genre of music, which included classical,
folk, jazz, electronica, rock, punk, techno and tango (see http://www.zlab.mcgill.
ca/supplements/supplements_intro.html for samples). Next, an email question-
naire was completed to determine whether their chills were experienced at times
of extreme pleasure, consistently at the same point in the music without diminish-
ing on multiple listening, in different environments, and the selected music was
not specifically or generally associated with an episodic memory. 45 individuals
continued to the third screening session, where a history of medical, psychiatric
illness, or substance abuse was ruled out. 40 participants continued to the fourth
screening session, where control stimuli were selected for each individual using
a paradigm where one individual’s pleasurable music is used as another person’s
neutral music5,15. This way, group-averaged data analysis involves comparison
of similar sets of stimuli. Although we were not able to match perfectly between
the control and pleasurable pieces used for all participants, efforts were made to
ensure that pieces were as evenly distributed as possible. Each individual rated
other participants’ music on a scale of 1–10 (neutral to extremely pleasurable).
From the pieces rated neutral, the ones that were most familiar to that subject
were selected to minimize differences in familiarity between pleasurable music
and neutral music conditions. Individuals whose music was found to be “neutral”
by at least one other participant were asked to continue. Participants were asked
not to listen to those pieces anymore during the course of the study to ensure
maximal responses during testing. 28 individuals participated in the final screen-
ing session to verify the chills response at prespecified times through subjective
and physiological responses. Participants listened to their chills-inducing music
while providing subjective ratings of pleasure through button presses and indi-
cating when they experienced a chill (see ref. 15 for additional details). The ten
participants (five female, five male) who most reliably experienced chills during
their peak pleasure responses to music accompanied by clear increases in ANS
activity were selected for the study. The final group of participants was between
the ages of 19 and 24 (M = 20.8, ± 1.9 years) and had a wide range of musical
experiences from no training to 15 years of experience.
Procedures. Ethical approval for the study was granted by the Montreal
Neurological Institute (MNI) Research Ethics Board. All individuals gave writ-
ten informed consent before participating in the study. Testing took place over
three sessions. The first two sessions involved PET scanning (Supplementary
Fig. 1) and psychophysiological recording (Supplementary Fig. 2) and the third
session involved fMRI scanning (Supplementary Fig. 3).
Statistical analysis. Signal filtering was performed to remove noise and artifacts
(see ref. 15 for additional details). Data were downsampled to 1-s epochs and
compared across neutral music and pleasurable music conditions. To account
for unequal variances across conditions, we used Welch’s t test. A second analysis
was performed to examine the relationship between the intensity of chills expe-
rienced and psychophysiological responses. Outliers beyond four s.d. from the
mean were removed for each excerpt and for each participant individually (2–5%
of the data points). Subjective ratings for one individual were not recorded and
BVP amplitude data for one participant demonstrated excessive artifacts, thus
these data were not included in the analysis. Z score values of each biosignal
were calculated for each excerpt and plotted against subjective ratings of chills
intensity that subjects reported after hearing each excerpt (Fig. 1). Correlation
coefficients were calculated for the intensity of chills and changes in each of the
psychophysiological measures (Supplementary Table 1).
For [11C]raclopride PET, we discarded two datasets because of participant
discomfort during the first session. Data from the remaining eight participants
were analyzed. PET emission frames were reconstructed and corrected for
gamma ray attenuation and scatter. All PET images were corrected for head
motion using a co-registration–based method, which performs interframe
realignment and compensates for emission-transmission mismatches38. The
motion-corrected PET data were summed over the time dimension and aligned
to the subject’s anatomical magnetic resonance image. Anatomical MRI were
transformed into standardized stereotaxic space by means of automated feature
matching algorithm to the MNI template39. All transformed images were visually
inspected to ensure that there were no alignment errors.
Parametric images were generated in the native PET space by computing
[11C]raclopride binding potential (binding potential = BAvail / KD, where BAvail
is the density of available receptors and KD is the dissociation constant) at each
voxel of interest40,41. Voxelwise [11C]raclopride binding potential was calculated
using a simplified reference region method40,41, with the cerebellum chosen as
reference region because it does not contain specific D2 receptor–like binding
sites and can be used for the determination of nonspecific binding and free radio-
ligand in the brain42. The gray matter of the cerebellum assigned as reference
region was initially segmented in Talairach space from a probabilistic atlas43
and a neural net classifier44. The [11C]raclopride binding potential maps were
then transformed into MNI space39 using the previously determined transforma-
tion parameters. Statistical parametric t maps of binding potential change were
produced by comparing the parametric binding potential maps of the two scan
sessions (pleasurable music and neutral music), using a previously described
method45. This calculation uses the residuals of the least-squares fit of the com-
partmental model, which improves the sensitivity to small changes by providing
better estimates of the s.d. at the voxel and by increasing the degrees of freedom.
It is assumed that a reduction in [11C]raclopride binding potential is indicative
of an increase in extracellular dopamine concentration46. Clusters of significant
change were defined as all contiguous striatal voxels on the t map exceeding a
magnitude threshold of 3.11. This threshold was considered to be significant
(P < 0.05, corrected for multiple comparisons) for a search volume equal to the
striatum and an effective spatial resolution of 8-mm full-width at half maximum
(FWHM)47. Mean binding potential values were extracted from each significant
cluster for each individual and percent change in binding potential was calculated
as [(BPneutral − BPpleasurable) × 100 / BPneutral], and compared with subjectively
reported post-listening ratings of the number of chills, intensity of chills and
degree of pleasure experienced.
fMRI. One scan was terminated because of claustrophobia. fMRI data were cor-
rected for motion using in-house software. To increase the signal-to-noise ratio,
we spatially smoothed the images (or low-pass filtered) with an 8-mm FWHM
isotropic Gaussian kernel. Image analyses were performed with fMRISTAT, which
consists of a series of MATLAB scripts that utilize the general linear model for
analyses48. The general linear model (Y = Xβ + ε) expresses the response vari-
able (BOLD signal) Y in terms of a linear combination of explanatory variables
(events) X, the parameter estimates (effects of interest) β and the error term ε.
Temporal drift was modeled as cubic splines and removed by inclusion into the
general linear model as a variable of non-interest. The linear model was solved
for the parameter estimates β with least squares, yielding estimates of effects,
standard errors and t statistics for each contrast and for each run.
Before group statistical maps for each contrast of interest were generated, in-
house software was used to linearly transform anatomical and functional images
from each subject into standard MNI stereotaxic coordinate space using the MNI
305 template39. A mixed-effects linear model was subsequently used to combine
data across subjects; the s.d. images were smoothed with a Gaussian filter so that
the ratio of the random-effects variance divided by the fixed-effects variance
results in approximately 100 degrees of freedom. Because the main purpose of
the fMRI analyses was to measure BOLD activity in predefined striatal regions,
we adopted an uncorrected statistical threshold of P < 0.01.
For the main analysis, three events were defined: the peak emotional response
(PER) condition represented all epochs during which the participant was pressing
the chills, the anticipation condition represented 15-s epochs immediately pre-
ceding the onset of the PER condition defined post hoc, and the neutral condition
represented all epochs during which participants were pressing down the neutral
button. Note that these neutral epochs are different from the neutral music condi-
tion, which were not used in this case, as the neutral music condition contrasted
with the pleasurable music condition shows less activity in the striatum. As such,
any epoch selected from the pleasurable music condition, even those not related
to peak pleasure, could have shown increased striatal activity and overestimated
the results of the study. The anticipation period was defined as the 15 s before
the PER based on previous findings that this is the time frame during which
psychophysiological responses begin to increase significantly relative to mean
responses throughout the excerpt15. The times at which participants pressed the
low pleasure and high pleasure buttons were also included in the model to ensure
© 2011 Nature America, Inc. All rights reserved.
nature neurOSCIenCe doi:10.1038/nn.2726
that they did not contribute to baseline. A 0.1-s epoch was incorporated into the
model each time a button was pressed to account for neural activity involved in
button pressing. The BOLD data from times when participants were responding
to questions were excluded from the analysis. The planned comparisons for the
main analysis were then entered into the analysis: anticipation of PER = anticipa-
tion condition minus neutral condition and experience of PER = PER condition
minus neutral condition.
Time series analysis. To further investigate the temporal dynamics of the reward
response, we calculated the time series of hemodynamic activity in the caudate and
NAcc clusters. To avoid the circularity problem22, we derived our VOIs from the
PET data, which are independent of the fMRI data. We first identified the voxel
showing the maximum dopamine release during the [11C]raclopride PET scan,
in the caudate and NAcc clusters. We then extracted the mean signal for each
VOI during the entire fMRI run obtained from each volume and calculated the
percent BOLD signal change relative to the mean of the run during the epochs in
which PERs were reported. Participants often experienced multiple chills one after
another. For the purposes of this analysis, the percent signal change during the
first chill of the series was used, which ranged in duration from 1–4 s. The BOLD
response for each of those seconds is plotted in Figure 3c. Mean signal change
for each second preceding this response for each individual, up to 15 s, was also
plotted to demonstrate hemodynamic time series during the anticipation period.
As a result of cardiac gating, a different number of frames were acquired for each
person during this 15-s period and acquisition time varied from 2.1 to 3 s depend-
ing on the individual’s heart rate. As such, the VOI values obtained at each frame
were interpolated to provide an estimate of signal during each second preceding
the peak response. The mean number of frames sampled for calculating time
series was 5.3 (s.d. = 1.3) during anticipation and 1.6 (s.d. = 1.2) during chills. The
mean signal change during neutral button presses was also calculated for each VOI
separately and plotted in Figure 3d for reference. Finally, the percent signal change
for 5 s preceding the anticipatory response were also plotted for reference.
Conjunction analysis. Because [11C]raclopride binds with D2 receptors mainly
in the striatum49, our fMRI data analysis was also limited to this region, masked
by areas that showed dopamine release. A spatial conjunction analysis was
performed to examine the temporal aspects of hemodynamic activity in areas
that had shown changes in [11C]raclopride binding potential on PET. A mask of
striatal areas that had revealed substantial changes in binding potential using the
stated threshold (t ≥ 3.11) was created to spatially mask both contrasts (outlined
in the fMRI data analysis section): anticipation of PER and experience of PER.
This procedure allowed us to measure BOLD changes only in voxels that had
shown binding potential differences in the PET study.
38. Costes, N. et al. Motion correction of multi-frame PET data in neuroreceptor
mapping: simulation based validation. Neuroimage 47, 1496–1505 (2009).
39. Collins, D.L., Peters, T.M. & Evans, A.C. Automatic 3D intersubject registration of
MR volumetric data in standardized Talirach space. J. Comput. Assist. Tomogr. 18,
192–205 (1994).
40. Gunn, R.N., Lammertsma, A.A., Hume, S.P. & Cunningham, V.J. Parametric imaging
of ligand-receptor binding in PET using a simplified reference region model.
Neuroimage 6, 279–287 (1997).
41. Lammertsma, A.A. & Hume, S.P. Simplified reference tissue model for PET receptor
studies. Neuroimage 4, 153–158 (1996).
42. Litton, J.E., Hall, H. & Pauli, S. Saturation analysis in PET-analysis of errors due
to non-perfect reference regions. J. Cereb. Blood Flow Metab. 14, 358–361
(1994).
43. Collins, D.L. & Evans, A.C. ANIMAL: Validation and application of nonlinear
registration-based segmentation. Intern. J. Pattern Recognit. Artif. Intell. 11,
1271–1294 (1997).
44. Zijdenbos, A., Forghani, R. & Evans, A.C. Automatic quantification of MS lesions
in 3D MRI Brain data sets: validation of INSECT. in Medical Image Computing and
Computer-Assisted Intervention (eds. Wells, W.M., Colchester, A. & Delp, S.)
439–448 (Springer-Verlag, Cambridge, Massachusetts, 1998).
45. Aston, J.A. et al. A statistical method for the analysis of positron emission
tomography neuroreceptor ligand data. Neuroimage 12, 245–256 (2000).
46. Endres, C.J. et al. Kinetic modeling of [11C]raclopride: combined PET microdialysis
studies. J. Cereb. Blood Flow Metab. 17, 932–942 (1997).
47. Worsley, K.J. et al. A unified statistical approach for determining significant signals
in images of cerebral activation. Hum. Brain Mapp. 4, 58–73 (1996).
48. Worsley, K.J. et al. A general statistical analysis for fMRI data. Neuroimage 15,
1–15 (2002).
49. Slifstein, M. et al. Striatal and extrastriatal dopamine release measured with PET
and [(18)F]fallypride. Synapse 64, 350–362 (2010).
© 2011 Nature America, Inc. All rights reserved.