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Preferences for purchasing goods and services may be shaped by many factors, including advertisements presenting logical, persuasive information or those using images or text that may modify behavior without requiring conscious recognition of a message. We tested the hypothesis that these two types of messages (logical persuasion [LP] vs. nonrational influence [NI]) might affect brain function differently in a pilot project, using stimuli drawn from real-world print advertisements and quantitative electroencephalography as a noninvasive measure of regional brain activity. Twenty-four healthy subjects, 11 women and 13 men, viewed images while brain electrical activity was recorded. We used the low-resolution brain electromagnetic tomography method to quantify current intensity in brain regions implicated in decision-making and emotional processing. Data were analyzed using a block design to compare brain activity during LP and NI stimuli periods. LP images were associated with consistently and significantly higher activity levels in orbitofrontal, anterior cingulate, amygdala, and hippocampus regions than were NI images. These findings suggest that advertising images can evoke different levels of regional brain activity related to the use of LP and NI elements.
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Regional Brain Activation With Advertising Images
Ian A. Cook
University of California, Los Angeles
Clay Warren
The George Washington University
Sarah K. Pajot, David Schairer, and Andrew F. Leuchter
University of California, Los Angeles
Preferences for purchasing goods and services may be shaped by many factors,
including advertisements presenting logical, persuasive information or those using
images or text that may modify behavior without requiring conscious recognition of a
message. We tested the hypothesis that these two types of messages (logical persuasion
[LP] vs. nonrational influence [NI]) might affect brain function differently in a pilot
project, using stimuli drawn from real-world print advertisements and quantitative
electroencephalography as a noninvasive measure of regional brain activity. Twenty-
four healthy subjects, 11 women and 13 men, viewed images while brain electrical
activity was recorded. We used the low-resolution brain electromagnetic tomography
method to quantify current intensity in brain regions implicated in decision-making and
emotional processing. Data were analyzed using a block design to compare brain
activity during LP and NI stimuli periods. LP images were associated with consistently
and significantly higher activity levels in orbitofrontal, anterior cingulate, amygdala,
and hippocampus regions than were NI images. These findings suggest that advertising
images can evoke different levels of regional brain activity related to the use of LP and
NI elements.
Keywords:
brain activation, advertising, persuasion, influence, EEG, source localization, uncon-
scious processing
Human behavior is affected by multiple fac-
tors, some of which are within the conscious
awareness of the individual and others of which
may fall outside of awareness until the factors
are pointed out. A central tenet of commercial
advertising is that an individual’s purchasing
preferences can be affected so that one product
or service is chosen over another. It is possible
that this impact can take place within the con-
text of an advertisement that presents logical,
factual information that is rationally persuasive
(logical persuasion, or LP); alternatively, an
advertisement might use images or text that are
perceived or processed outside of immediate
awareness to shape behavior without reliance on
rational evaluation (nonrational influence, or
NI). Pratkanis and Greenwald (1988) suggested
several routes of stimulus presentation that
might be used to circumvent conscious aware-
ness of the image and its message: subthreshold
stimuli, which are presented at levels too weak
to be consciously detected; masked stimuli,
Ian A. Cook, Sarah K. Pajot, David Schairer, and Andrew F.
Leuchter, Laboratory of Brain, Behavior, and Pharmacology,
Semel Institute for Neuroscience and Human Behavior, and
Brain Research Institute, University of California, Los Ange-
les; Clay Warren, Department of Organizational Sciences and
Communication, The George Washington University.
We acknowledge financial support for this project from
the International Consciousness Research Laboratories con-
sortium (http://www.icrl.org). We thank Barbara Siegman
and Suzie Hodgkin (for recording the electroencephalo-
graph data); Michelle Abrams (for subject recruitment and
evaluation); Melinda Morgan and Jodie Cohen (for data
management); and Robert Jahn, Brenda Dunne, and the late
Michael Witunski (for informative discussions in develop-
ing and executing this investigation).
Correspondence concerning this article should be ad-
dressed to Ian A. Cook, Miller Family Professor of Psychi-
atry and Biobehavioral Sciences, Semel Institute for Neu-
roscience and Human Behavior, University of California,
Los Angeles, CA 90024-1759, or to Clay Warren, Chauncey
M. Depew Professor of Communication, Department of
Organizational Sciences and Communication, The George
Washington University, Washington, DC 20052-0048.
E-mail: cook@brain.ucla.edu or claywar@gwu.edu
Journal of Neuroscience, Psychology, and Economics © 2011 American Psychological Association
2011, Vol. 4, No. 3, 147–160 1937-321X/11/$12.00 DOI: 10.1037/a0024809
147
which are hidden from awareness by overriding
stimuli; unattended stimuli, which are presented
in a context to avoid conscious decoding of the
images or their meaning; and figurally trans-
formed stimuli, using words or pictures that
have been distorted to a point of conscious
unrecognizability. Regardless of the technique
used, stimuli presented outside of conscious
awareness are hypothesized to include images
that might manipulate the viewer by affecting
autonomic arousal or emotional state and could
include elements considered provocative in na-
ture. Bargh (2002) broadened considerations
from a focus on affecting hedonic-driven behav-
iors to the possibility that an impact on any kind
of goal or motivation might be achieved outside
of awareness.
Decision-Making Systems and the Brain
The possibility of two separate human deci-
sion-making processes has been widely dis-
cussed by Schneider and Shiffrin (1977), Slo-
man (1996, 2002), Kahneman (2003), Evans
(2003), and others. Stanovich and West (2000)
codified these two processes into System 1
(characterized as intuitive, fast, parallel, auto-
matic, effortless, associative, emotional) and
System 2 (reasoning, slow, serial, controlled,
effortful, rule governed, neutral). As an illustra-
tion in the advertising context, an LP-type ad-
vertisement (appealing to System 2 processing)
might show the product clearly and convey fac-
tual, descriptive data (“best mileage in its
class,” “top rated”). In contrast, an NI-type ad-
vertisement (targeting System 1) might mini-
mize the use of text and instead incorporate
elements into the image that could be consid-
ered to be sexually evocative by some viewers
(e.g., breast- or phallic-shaped elements).
Thoughtful reviews of this controversial area in
communication include those by Theus (1994),
Trappey (1996), Merikle and Daneman (1998),
Shapiro (1999), and Aylesworth, Goodstein,
and Kaira (1999), with most investigators find-
ing some evidence indicating the presence of
these elements in print advertisements (cf. War-
ren, 2009). Although a considerable body of
work has examined the neurobiological sub-
strates of decision making in the neuroeconom-
ics context (see reviews by Camerer, Loewen-
stein, & Prelec, 2005, and Goel, 2007), the
impact on brain function of the presence or
absence of these particular elements in real-
world advertisements is not well characterized,
despite the considerable attention surrounding
the notion of neuromarketing (reviewed by Lee,
Broderick, & Chamberlain, 2007, and Plass-
man, Ambler, Braeutigam, & Kenning, 2007).
Neuroimaging, Perception, and Assessment
Much of the experimental research that has
been performed has focused on processing of fa-
cial images. Using facial and nonfacial images,
although not from advertisements, Hoshiyama,
Kakigi, Watanabe, Miki, and Takeshima (2003)
found different brain responses with electroen-
cephalography (EEG) and magnetoencephalogra-
phy methods, even when the presentation was
below the level of conscious awareness. Lehmann
et al. (2004) reported a dissociation between overt
and unconscious processing of facial recognition
in the fusiform area. Pessoa (2005) observed that
processing of emotional information is prioritized
by the brain and does not require the emotional
information to be the focus of conscious attention.
Using backward masking, Whalen et al. (1998)
observed a larger magnitude of brain response to
fearful faces than to happy faces, even though
subjects did not recall seeing any emotionally
expressive faces at all. Kilgore and Yurgelen-
Todd (2004) reported that happy and sad faces
elicited different activations in the anterior cingu-
late and amygdala with a backward masking par-
adigm. Dijksterhuis (2004), Dijksterhuis, Bos,
Nordgren, and van Baaren, (2006), and Dijkster-
huis and Aarts (2010) have reviewed and synthe-
sized primary studies suggesting that considerable
amounts of processing and decision making may
take place outside of conscious awareness.
Klucharev, Smidts, and Ferna´ndez (2008) re-
ported that seeing an image of a product soon after
that of a celebrity with perceived expertise about
the product influenced activation in hippocampus,
anterior cingulate, caudate, fusiform gyrus, supe-
rior frontal gyrus, and other connected regions, as
well as recall of images a day later.
Measuring Brain Reactions to Actual
Advertisements
Neuroimaging methods (cf. Raichle & Min-
tun, 2006) hold various degrees of potential for
studying how the brain reacts to advertisements.
148 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
Positron emission tomography (PET) can be
used to visualize regional metabolism or blood
flow as an indirect indicator of neuronal pro-
cessing. Metabolic PET scans yield an aggre-
gate of activity patterns averaged over the tens
of minutes required for radioactive tracer up-
take, a time frame ill suited to studying viewing
advertisements that are normally seen only
briefly, whereas perfusion PET scans, operating
on a time scale of tens of seconds, have dosim-
etry limitations of radiation exposure that would
limit an experiment to only a few stimuli. Func-
tional MRI (FMRI) can be used to study
changes in regional blood oxygenation levels
reflective of local brain activity, with changes in
stimuli on the order of a few seconds. EEG
affords a noninvasive, unobtrusive, nonradioac-
tive approach to studying the primary neuronal,
synaptic events as the brain processes informa-
tion, which secondarily give rise to changes in
blood flow or metabolism. Most work with EEG
and processing of visual images has relied on
comparisons of patterns of scalp electrical
fields, either as an event-related or an evoked
response (cf. Vuilleumier & Pourtois, 2007),
including some work with EEG and advertise-
ments (e.g., Ohme, Reykowska, Weiner, &
Choromanska, 2009; S. Weinstein, Appel, &
Weinstein, 1980; or W. Weinstein, Drozdenko,
& Weinstein, 1984). A central challenge has
been to use the temporal resolution of EEG
while overcoming the spatial resolution limita-
tions of surface analyses. The introduction of
three-dimensional current density models, for
example with the low-resolution brain electro-
magnetic tomography (LORETA) approach
(Pascual-Marqui et al., 1999; Pascual-Marqui,
Michel, & Lehmann, 1994), has advanced stud-
ies of brain activity of deep structures as well as
those near the brain’s surface. Current density
assessments have not previously been applied to
neuropsychoeconomic investigations.
Given the findings with standardized stimuli
reported by others, we hypothesized that pat-
terns of regional brain function would differ
when subjects viewed logical persuasion versus
nonrational influence images drawn from actual
print advertisements used in commerce. We
tested this hypothesis by measuring brain
electrical activity as advertisements were pre-
sented visually and then using standard meth-
ods to determine the current density patterns
in key brain regions implicated in the process-
ing of this information. In the process, we
also evaluated the feasibility of using source
localization methods to advance neuropsy-
choeconomic research.
Method
Experimental Design
To examine patterns of regional brain activity
under conditions of viewing advertising images,
we collected quantitative EEG data using a con-
ventional stimulus-activation protocol. The pro-
tocol of viewing these images was included as a
task in a larger set of activations and rest peri-
ods during EEG recording in a project studying
brain function and structure in healthy aging,
and it was reviewed and approved by the Uni-
versity of California, Los Angeles, Institutional
Review Board. Informed consent was obtained
from all subjects in advance of experimental
procedures, in accordance with the Declaration
of Helsinki. Subjects were informed that these
experimental procedures were being used to
evaluate brain processing of visual images and
that they should strive to remember the images.
EEG was selected as a noninvasive, well-
tolerated method to assess brain activity at rest
and during activation procedures.
Participants
Data were collected from 24 healthy volun-
teers who were part of the project studying
healthy aging. All were in good health at the
time of enrollment and had a normal neurolog-
ical and psychiatric examination. Exclusion cri-
teria included any active or past history of an
Axis I major psychiatric disorder (e.g., manic
depression, schizophrenia, Alzheimer’s dis-
ease); any poorly controlled medical illness
that could affect brain function (e.g., untreated
hypothyroidism); concurrent use of central ner-
vous system–active medications that could in-
terfere with EEG activity (e.g., benzodiaz-
epines); current or past drug or alcohol abuse;
and any history of head trauma, brain surgery,
skull defect, stroke or transient ischemic attacks
or evidence of stroke on previous MRI. Subjects
were 11 women and 13 men. The mean age for
all 24 subjects was 77.2 years (SD ! 10.6
years). They had a mean of 16.3 years
(SD ! 2.8) of education; 1 man and 2 women
149REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
were left handed. Men and women did not differ
statistically on age, handedness, or years of
education.
Procedures
Advertising images. We assessed brain
activity in each of three conditions: (a) resting,
awake state, with eyes closed; (b) viewing stim-
uli categorized as LP images; and (c) viewing
stimuli that were NI images. Twenty-four im-
ages were used as stimuli; all were actual ad-
vertisements that appeared in magazines, news-
papers, and similar commercial print media.
Some example images are shown in Figure 1.
The sample LP-type advertisements (upper
row) present (a) a table of facts and figures
about cigarette products, (b) the details about
how to build a better toothbrush, (c) information
and the question “Which makes more sense?”
concerning a curved versus a straight tampon
product, and (d) suggestions about selecting
food for dogs on the basis of their activity level.
In contrast, sample NI-type advertisements
(lower row) show (e) water beading on a road
surface with a shape suggesting the outline of a
dead body, (f) an overlay image combining a
woman standing with legs apart and a statue’s
royal scepter positioned in her groin, (g) a
woman leapfrogging over a fire hydrant erupt-
ing with a water spray as a man enthusiastically
grins behind her, and (h) a big dog measuring
the length of his sausage-shaped dog food at 7
in. on a measuring tape.
The selection of ads followed not only the
System 1–System 2 decision-making codifica-
tion previously mentioned, it also reflects a con-
ventional application of Aristotelian-defined
persuasion-based influence (still used after
more than 2,000 years) that, by definition, must
be intended by the source to allow choice for the
receiver through the presentation of a claim
with a direct connection to a product or an
idea—a claim open to the use of verifiable ev-
idence and appropriate reasoning (Aristotle,
2009; Warren, 2010). NI, however, involves
data intended by the source to circumvent evi-
dential reasoning and thus allow a receiver little
to no choice, preferably the latter, usually based
on a claim with no direct connection (or a
Figure 1. Example advertisements. Samples of logical persuasion (upper row, a– d) and
nonrational influence (lower row, e– h) advertisements are shown.
150 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
connection the source would be unwilling to
verbally identify) to a product or an idea. (Var-
ious types of NI have been the subject of vig-
orous discussion to date; see Warren, 2009, for
a summary review of this area.)
All of the LP and NI ads selected for use in
this study fit these fundamental definitional cri-
teria. The four example LP ads (see Figure 1)
establish a claim directly connected to the prod-
uct; the four example NI ads, purposely open to
individual interpretation, rely on provocative
elements that have no direct connection to the
ad’s claim. Specifically, this project’s experi-
mental stimuli were selected from more than 20
years of collected example advertisements
drawn from our research and teaching files. A
panel of three faculty members with expertise in
public communication established a consensus
of typing for this collection with a high interra-
ter reliability (Cronbach’s "!.92). The subset
of 24 images used for this study was culled from
the larger set (several hundred ads) as reason-
able exemplars of LP and NI advertising, rec-
ognizing that real-world ads are not exclusively
LP or NI in nature. We purposely selected the
option of using actual ads for this preliminary
study to establish a baseline: If receivers’ pro-
cessing of ecologically valid images did not
yield a detectable difference in current density,
the viability of this approach for future studies
could not be examined.
Because media ads have historically been
“shotgunned” to a broad and heterogeneous au-
dience, there was no reason to select ads on the
basis of user groups and to prematurely attempt
to segment this inquiry (e.g., using ads only
with their intended customers). In fact, given
the preliminary nature of this feasibility study,
circumscribing receivers by unwarrantedly tight
boundaries at this point could promote statisti-
cally sophisticated answers that bypass the gen-
eral problem: Premature definitional precision
can flatten unique, possibly determinant, pat-
terns into general, potentially irrelevant, rela-
tional theory (see Cocker, 1983).
Advertising image activation. Advertise-
ments were scanned from their original print
format and shown at their original dimensions
on the computer screen, except for two images
(size rescaled from full magazine page to fit on
the computer screen). Because we sought to
study the effects of real advertisements by sim-
ulating the actual viewing experience, we did
not make any adjustments to the brightness,
contrast, or color balance of the images, because
these manipulations would have an adverse im-
pact on the ecologic validity of the stimuli and
limit our ability to test hypotheses about the
impact on brain activity of actual advertise-
ments. Stimuli were presented serially using a
block design: 6 LP 3 6 NI 3 6 LP 3 6 NI.
Each stimulus was presented via computer
screen for 20 s (SuperLab; Cedrus Corp., San
Pedro, CA) at a viewing distance of 15–26 cm
and without any delay between stimuli. Data
recorded during the 12 LP stimuli presentations
were averaged for each individual, as were the
data for the 12 NI stimuli. Segments contami-
nated by excessive artifact (e.g., muscle-related
or eye-motion artifacts) were excluded from
analysis. The resting awake state was assessed
at the start of the recording session, before any
activations took place. Before presentation of
the stimuli, subjects were instructed to look at
and remember each image; no overt response
was required.
EEG Methods
Recordings were performed using standard
procedures and equipment previously detailed
(Cook et al., 2002; Cook, O’Hara, Uijtdehaage,
Mandelkern, & Leuchter, 1998; Leuchter, Uijt-
dehaage, Cook, O’Hara, & Mandelkern, 1999)
in a sound-attenuated room. To sustain the
awake state during the resting eyes-closed con-
dition, subjects were alerted by the technicians
during these periods with prompts at the emer-
gence of any sign of drowsiness (e.g., tapping a
pen to make a percussive sound). A Pz-
referential montage was used to collect data
from 35 scalp recording electrodes, placed with
a custom electrode cap (ElectroCap, Eaton, OH)
using a standard extension of the international
10 –20 system (see Figure 2). Signals were dig-
itally recorded with the QND system (Neuro-
data, Inc., Pasadena, CA), using a passband
of 0.3–70 Hz. This system allowed for offline
reformatting of data after the recording to de-
termine power values relative to a linked-ears
reference. Data were analyzed at a sample rate
of 256 samples per second for each channel,
using segments of data of 2-s duration (512
points). EEG data segments were selected if
they were free of eye blink, muscle, or drows-
iness artifacts.
151REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
These segments of EEG activity were then
processed by the LORETA method (Pascual-
Marqui et al., 1999; Pascual-Marqui et al.,
1994). This numerical method reconstructs the
three-dimensional configuration of current
sources that could give rise to the measured
surface EEG signals. Critically, cross-modal
validation has been performed, finding agree-
ment between LORETA and more established
measures of regional brain activity with FMRI
(Mulert et al., 2004; Vitacco, Brandeis, Pascual-
Marqui, & Martin, 2002) and PET (Dierks et al.,
2000; Oakes et al., 2004). This source localiza-
tion technique has been paired with task-
activation paradigms by other researchers to
examine patterns of regional brain activity dur-
ing engagement in particular mental tasks (e.g.,
Hanslmayr et al., 2008; Lavric, Pizzagalli, &
Forstmeier, 2004; Pizzagalli, Sherwood, Hen-
riques, & Davidson, 2005; Santesso et al.,
2008). LORETA yields current values in 2,394
voxels (Pascual-Marqui et al., 1994) in six stan-
dard frequency bands. We combined voxels to
compute average current density values (amp/
m
2
)forspecicaprioriregionsofinterest
(ROIs) and then averaged LP and NI stimuli
separately to achieve an estimate of current
density for each ROI in each condition. To
define our ROIs, we used the LORETA pack-
age’s correspondence between named region,
Brodmann area (BA), and Tailarach coordi-
nates: orbitofrontal cortex (OFC, comprising
BAs 10 and 11), dorsolateral prefrontal cortex
(DLPFC; BAs 44, 45, and 46), anterior cingu-
late cortex (ACC; BAs 24, 25, 32, and 33),
amygdala (AMY), and hippocampus (HIP).
These regions were included because prior work
has implicated them in regulating decision mak-
ing and processing of emotional information
(cf. Barrett & Wager, 2006; Davidson, Jackson,
& Kalin, 2000; Gruber, Rogowska, & Yurge-
lun-Todd, 2004; Killgore & Yurgelun-Todd,
Figure 2. Electrode montage. We used a standard extension of the international 10 –20
system to sample surface electrical activity across all brain regions.
152 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
2004, Phan, Wager, Taylor, & Liberzon, 2002;
Scheinle & Schafer, 2009; Seitz, Franz, &
Azari, 2009). The somatosensory cortex (SS;
BAs 3, 1, 2) was used as a control region that
we predicted would not show significant differ-
ences in activity related to stimulus type. Addi-
tionally, we focused on delta (1– 6.5 Hz) and
beta-3 (21.5–31 Hz) bands, because prior work
has demonstrated a positive correlation between
regional cerebral perfusion and EEG activity in
those frequency ranges (Cook et al., 1998; Leu-
chter et al., 1999).
Data Analysis
Analyses were performed using the PASW
statistical package (SPSS, Inc., Chicago, IL).
Continuous variable data were analyzed with t
tests; categorical data were examined using the
chi-square statistic.
Results
Using the entire sample, we found significant
differences in multiple brain regions. Higher
activity was detected during LP than NI im-
ages bilaterally in OFC and ACC (Table 1 and
Figure 3; p # .05). Current density was also
higher during LP than NI images in right-sided
AMY and HIP, but not left sided (nonsignificant
difference). Activity in the DLPFC did not dif-
fer significantly between LP and NI images in
either hemisphere. Additionally, our SS control
region did not show significant differences be-
tween stimulus types in either hemisphere. In no
ROI was the current density observed to be
significantly higher during NI images than dur-
ing LP images.
To examine whether there might be gender-
related differences in regional current density
values, we compared average values in each
ROI between male and female subjects. No
significant differences were detected between
the two groups.
To examine the potential effects of hand-
edness, we reexamined the average current
density values in each ROI for only right-
handed subjects (n ! 21); the regions show-
ing significant differences between LP and NI
images were generally similar to the entire
group (see Table 2), although some areas
were no longer statistically significant with
the smaller sample size.
Table 1
Patterns of Regional Activation
Band
Regions of interest (M $SD%)
SS OFC ACC DLPFC AMY HIP
Delta
Left hemisphere
LP 3.49 (1.92) 8.34 (9.38) 3.19 (3.38) 3.26 (2.84) 2.69 (1.53) 1.85 (1.58)
NI 2.87 (1.77) 5.12 (3.40) 1.80 (1.01) 2.52 (1.45) 2.15 (1.14) 1.42 (1.43)
t 1.52 2.15
!!
2.44
!!
1.39 1.65 1.41
Right hemisphere
LP 3.31 (2.35) 8.10 (8.68) 3.28 (3.47) 3.93 (2.80) 2.92 (2.03) 1.46 (1.14)
NI 2.95 (2.31) 5.06 (3.79) 1.85 (1.05) 3.09 (2.01) 2.40 (1.90) 1.04 (0.57)
t 1.35 2.24
!!
2.47
!!
1.66 1.80
!
1.88
!
Beta-3
Left hemisphere
LP 9.83 (4.77) 20.96 (19.47) 7.70 (6.30) 10.39 (7.39) 7.27 (3.46) 3.33 (2.12)
NI 8.92 (4.32) 15.93 (8.85) 5.51 (2.57) 9.60 (5.30) 6.89 (3.29) 2.79 (1.31)
t 1.57 1.71 2.07
!!
0.83 0.40 1.60
Right hemisphere
LP 10.77 (7.00) 21.36 (18.15) 7.95 (6.51) 15.26 (14.00) 8.38 (5.50) 4.67 (3.82)
NI 10.37 (7.41) 16.69 (10.03) 5.67 (2.64) 14.80 (16.40) 9.04 (6.31) 4.14 (3.50)
t 0.78 1.79
!
2.08
!!
0.37 &0.44 1.11
Note. ACC ! anterior cingulate cortex; AMY ! amygdala; DLPFC ! dorsolateral prefrontal cortex; HIP ! hippocam-
pus; OFC ! orbitofrontal cortex; SS ! somatosensory region.
!
p # .5.
!!
p # .025.
153REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
Discussion
In this pilot project, we had hypothesized that
LP and NI images would elicit different patterns
of brain activation, and we found that differ-
ences in OFC, ACC, AMY, and HIP were de-
tectable using the LORETA three-dimensional
current source localization technique. In all
these brain regions, viewing of LP stimuli was
consistently associated with higher levels of cur-
rent than was viewing of NI stimuli. We believe
that this study is the first using EEG to find sup-
port for differential neurophysiologic activity elic-
ited by these two types of real-world advertising
images in deep and cortical brain regions.
LP images consistently resulted in higher ac-
tivity in delta and beta-3 bands than NI images;
because this is a pilot feasibility project rather
than a definitive study, we can offer only mod-
est, although potentially important, speculations
on the possible meaning of these findings. The
ACC region is a central component of the lim-
bic system and is believed to play a role not
only in emotional processing but also in select-
Figure 3. Differences in activity between conditions. Regional current density values are
shown for delta and beta-3 frequency bands across our regions of interest: left (L) and right
(R) SS, OFC, ACC, DLPFC, AMY, and HIP. ACC ! anterior cingulate cortex; AMY !
amygdala; DLPFC ! dorsolateral prefrontal cortex; HIP ! hippocampus; OFC ! orbito-
frontal cortex; SS ! somatosensory region. t tests were used.
!
p # .05.
!!
p # .025.
Table 2
Comparison of Regional Activation Based on Handedness
Band
Region of interest
SS OFC ACC DLPFC AMY HIP
Delta
L all 1.52 2.15
!!
2.44
!!
1.39 1.65 1.41
L RH 1.03 2.35
!!
2.17
!!
0.83 1.11 0.96
R all 1.35 2.24
!!
2.47
!!
1.66 1.80
!
1.88
!
R RH 0.80 2.69
!!!
2.21
!!
1.22 1.30 1.44
Beta-3
L all 1.57 1.71 2.07
!!
0.83 0.40 1.60
L RH 1.12 1.47 1.77
!
&0.08 0.57 1.13
R all 0.78 1.79
!
2.08
!!
0.37 &0.44 1.11
R RH 0.28 1.52 1.77
!
&0.38 &0.17 0.63
Note. The t scores from all 24 participants (all) are tabulated with those from the 21 right-handed participants (RH) in delta
and beta-3 bands for each of our a priori regions of interest. ACC ! anterior cingulate cortex; AMY ! amygdala; DLPFC !
dorsolateral prefrontal cortex; HIP ! hippocampus; L ! left hemisphere; OFC ! orbitofrontal cortex; R ! right
hemisphere; SS ! somatosensory region.
!
p # .5.
!!
p # .025.
!!!
p # .01.
154 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
ing which stimulus merits a response in the face
of competing streams of information (cf. Bush,
Luu, & Posner, 2000; Kennerley, Walton, Beh-
rens, Buckley, & Rushworth, 2006; Pardo,
Pardo, Janer, & Raichle, 1990). The higher
ACC currents we found during LP stimuli could
be interpreted as being consistent with greater
processing needs for the factual information
presented in LP ads. With PET perfusion meth-
ods, Stole´ru et al. (2003) reported activation in
a portion of the ACC (BA 24) in both healthy
adult men and men with hypoactive sexual de-
sire disorder when they watched visual sexual
stimuli, in which sexual activity was the focus
of the images. Anatomical subdivisions of the
ACC have been found to subserve different
functions (cf. Carter & van Veen, 2007; Devin-
sky, Morrell, & Vogt, 1995), which could in-
clude differences in assessing the salience of
primary versus secondary aspects of content.
The OFC is also critically involved in evaluat-
ing the emotional (reward) salience of stimuli
from a variety of sensory inputs (e.g., Rolls &
Grabenhorst, 2008). Given that the OFC is im-
plicated in inhibiting responses to stimuli (cf.
Chiu, Holmes, & Pizzagalli, 2008; Dillon &
Pizzagalli, 2007; Hodgson et al., 2002), the
lower activity associated with NI images could
be consistent with lesser degrees of behavioral
inhibition during exposure to those stimuli, po-
tentially leading to patterns of less restrained
behaviors in connection with products depicted
in the NI advertisements.
The AMY serves key roles in emotional pro-
cessing and vigilance (cf. Davis & Whalen,
2001) and may modulate the activity in other
brain regions in response to emotional stimuli
(Vuilleumier & Pourtois, 2007). The right-
lateralized AMY activation we found is sugges-
tive of nonverbal processing in that hemisphere
in right-handed subjects (cf. Gazzaniga, 2000;
Lindell, 2006). This pattern was present in the
right-handed subjects in our pool, and although
we enrolled both right- and left-handed adults in
our project, a future study might focus on en-
rollment of subjects of a single handedness or
expand enrollment to have adequate statistical
power to detect handedness-based differences.
Our AMY finding is consistent with previous
reports of the right AMY’s role in affective
information processing of pictorial or image-
related material (Markowitsch, 1998).
The HIP is central to the formation of de-
clarative memories that can be explicitly ver-
balized (cf. Squire, 1992), so our higher cur-
rent values during LP stimuli suggest that LP
advertisements may engage declarative learn-
ing more than the NI images, which either are
not explicitly memorable or, alternatively,
might be remembered via nondeclarative
mechanisms not involving hippocampal re-
cruitment. We did not test subjects at the end
of the experiment for their ability to recall
advertisements they had previously viewed,
so we cannot test this conjecture. The failure to
find differences in DLPFC activity in our data
may reflect smaller differences in emotional va-
lence of the stimulus categories than anticipated
(cf. Simpson et al., 2000) or a lack of engagement
of this particular emotional processing center in
evaluating advertising images. The lack of differ-
ential activation in the SS region supports the
conclusion that there is not simply a generalized
increase in activity with LP stimuli across all brain
regions, but rather that the differences have re-
gional specificity.
Morris et al. (2009) examined brain activa-
tion while subjects watched TV advertise-
ments during FMRI scanning and then rated
ads along dimensional constructs of “plea-
sure” and “arousal.” They found that bilateral
activations in the inferior frontal and middle
temporal gyri were associated with differ-
ences along the pleasure dimension, whereas
the arousal dimension influenced activation in
right superior temporal and right middle fron-
tal gyri. Our study’s findings are consistent
with Morris et al.’s conclusion that the dif-
fering emotional reactions to viewing ads
may be related to underlying neurobiological
processes, but further direct comparisons are
difficult given differences in the two studies’
stimuli and hypotheses. In another project,
Ohme et al. (2009) used EEG, electromyog-
raphy, and skin conductance to study subjects
as they watched two versions of a TV adver-
tisement that differed only in the visual image
presented in a single scene. They had hypoth-
esized that the two versions would produce
different levels of asymmetric EEG activation
in the frontal regions, based on the approach–
avoidance model proposed by Davidson
(2004), as well as differing levels of arousal
detected via skin conductance and electro-
myography activity. They found statistical
155REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
differences in their surface asymmetry mea-
sure in comparing the two versions of the
scene, even though subjects did not con-
sciously recall seeing a difference in the two
video clips; skin conductance and electro-
myography activity also differed. A direct
comparison of our three-dimensional regional
findings with their asymmetry measure is dif-
ficult to make, but both sets of findings indi-
cate that neurophysiologic activity may differ
when advertisements are viewed, even if sub-
jects have no conscious recall of differences
in the information presented.
Limitations and Future Directions to
Address Them
We should note several limitations of this
study, along with their implications for future
research. One is whether the observed differ-
ences are tied to the particular stimuli in our
battery or if this is a more general phenome-
non. Our choice of actual advertisements is
both a strength and a limitation of this proj-
ect; although our observations have an eco-
logical validity that is not possible with im-
ages contrived to control for features such as
amounts of text, luminance, or saturation of
color, we are limited in our ability to identify
which components of the images may have
driven the differences in regional brain acti-
vation. Future extensions could address this
concern by using a wider variety of stimuli
drawn from sources not confined to real-
world advertisements, such as synthetic im-
ages designed to directly test hypotheses
about how the brain evaluates information
presented without engaging logical aware-
ness, or images that vary the degree of emo-
tional charge. Future work might include the
development and validation of a standardized
set of advertising stimuli much like the
widely used Pictures of Facial Affect stimuli
developed by Ekman and Friesen (1976);
such a set would strive to have well-
characterized psychometric (e.g., emotional
valence and arousal) or physical (e.g., lumi-
nance, word count) properties. We also did
not seek to study whether one type of adver-
tisement was superior to the other; we elicited
no data on recall of or attitudes toward the
products being advertised, and no conclusions
as to merit of advertising strategy should be
drawn from this study.
Another limitation is that our subjects were
older adults. It has been reported that younger
and older individuals may use different strate-
gies when processing images (detail processing
vs. schema-based processing, per Yoon, 1997)
or emotional information (e.g., Kensinger &
Leclerc, 2009). The emotional valence of some
of the NI elements in the stimuli might be
different in younger subjects, and future studies
could address this by enrolling subjects across a
wider range of ages or by explicitly comparing
a group of subjects in their 20s with a group
such as our subject pool. An additional consid-
eration related to our subject pool is that it
contained similar numbers of male and female
subjects. Some evidence from prior work has
shown that gender-related differences may exist
in information processing (e.g., Orozco &
Ehlers, 1998), and future studies might seek to
focus on a single gender or might be larger so as
to have adequate statistical power to detect gen-
der-related differences. An additional line of
work might evaluate whether processing differ-
ences emerged in comparison of individuals
with personal relevance to the product or not
(e.g., gender- or lifestyle-specific products).
Another potential criticism is that our instruc-
tion to the subjects—to try to remember the
images—is not how advertisements in maga-
zines and other print media are conventionally
viewed. Although advertisers may hope that
their advertisements will be remembered, there
is, of course, no such instruction given as a
person is exposed to these images in daily life;
future work might examine differences between
an instructionless viewing period and different
sorts of structured, specific instructions, be-
cause these might alter the subjects’ approach to
viewing and processing.
Finally, our data do not allow us to differen-
tiate between specific attributes of the NI stim-
uli, which might include impact on either emo-
tional or unconscious processes. Indeed, adver-
tisements of this NI variety appear to frequently
blend the two, and disambiguation might be
better addressed using images chosen or artifi-
cially constructed to separate these elements.
Future work in this area might include the de-
velopment of a standardized battery of adver-
tisements with well-characterized psychometric
properties.
156 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
Conclusions and Implications for
Psychology, Communication, Economics,
and Business
These pilot data provide evidence for differ-
ences in regional brain processing of real-world
advertising images, depending on whether the
images appeal to rational, logical functions or to
nonrational, emotionally valenced functions.
Our findings may raise numerous new ques-
tions, as our earlier recommendations for future
work suggest. Nonetheless, such future work
cannot be justified without pilot investigations,
such as this one, that demonstrate the feasibility
of using these measures in this novel way.
For research in psychology and communica-
tion, these findings provide additional justifica-
tion for studying decision-making processes
through the use of inductively generated evi-
dence. For economics and business, our find-
ings lend support to the possibility that some
elements of decision making may be influenced
by appeals outside of a rational evaluation of
information. Given that economic theories tend
to be predicated on a rational appraisal of infor-
mation being the determinant of actions, our
findings suggest that consideration of more in-
clusive theories may be warranted. For busi-
ness, our findings suggest that further study is
needed before reliable predictions, based on
neurophysiologic measurements, can be ad-
vanced about how advertising campaigns sway
consumer behavior. Overall, additional work is
both necessary and warranted to help bridge
from these initial neurophysiologic observa-
tions to implications for advertising practices
and behavioral influences in human consumers.
References
Aristotle. (2009). Rhetoric (W. R. Roberts, Trans.).
Whitefish, MT: Kessinger.
Aylesworth, A. B., Goodstein, R. C., & Kaira, A.
(1999). Effect of archetypal embeds on feelings:
An indirect route to affecting attitudes? Journal of
Advertising, 28, 73– 81.
Bargh, J. A. (2002). Losing consciousness: Auto-
matic influences on consumer judgment, behavior,
and motivation. Journal of Consumer Re-
search, 29, 280 –285.
Barrett, L. F., & Wager, T. D. (2006). The structure
of emotion: Evidence from neuroimaging studies.
Current Directions in Psychological Science, 15,
79 83.
Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive
and emotional influences in anterior cingulate cor-
tex. Trends in Cognitive Sciences, 4, 215–222.
Camerer, C., Loewenstein, G., & Prelec, D. (2005).
Neuroeconomics: How neuroscience can inform
economics. Journal of Economic Literature, 43,
9 64.
Carter, C. S., & van Veen, V. (2007). Anterior cin-
gulate cortex and conflict detection: An update of
theory and data. Cognitive, Affective, and Behav-
ioral Neuroscience, 7, 367–379.
Chiu, P. H., Holmes, A. J., & Pizzagalli, D. A.
(2008). Dissociable recruitment of rostral anterior
cingulate and inferior frontal cortex in emotional
response inhibition. NeuroImage, 42, 988 –997.
Cocker, J. (1983). Can we measure social relation-
ships? New Scientist, 97, 793–796.
Cook, I. A., Leuchter, A. F., Morgan, M., Witte, E.,
Stubbeman, W. F., Abrams, M., . . . Uijtdehaage,
S. H. (2002). Early changes in prefrontal activity
characterize clinical responders to antidepressants.
Neuropsychopharmacology, 27, 120 –131.
Cook, I. A., O’Hara, R., Uijtdehaage, S. H. J., Man-
delkern, M., & Leuchter, A. F. (1998). Assessing
the accuracy of topographic EEG mapping for
determining local brain function. Electroencepha-
lography and Clinical Neurophysiology, 107,
408 414.
Davidson, R. J. (2004). What does the prefrontal
cortex “do” in affect? Perspectives on frontal EEG
asymmetry research. Biological Psychology, 67,
219 –233.
Davidson, R. J., Jackson, D. C., & Kalin, N. H.
(2000). Emotion, plasticity, context, and regula-
tion: Perspectives from affective neuroscience.
Psychological Bulletin, 126, 890 –909.
Davis, M., & Whalen, P. J. (2001). The amygdala:
Vigilance and emotion. Molecular Psychiatry, 6,
13–34.
Devinsky, O., Morrell, M. J., & Vogt, B. A. (1995).
Contributions of anterior cingulate cortex to be-
haviour. Brain, 118(Pt. 1), 279 –306.
Dierks, T., Jelic, V., Pascual-Marqui, R. D., Wahl-
und, L., Julin, P., Linden, D. E., . . . Nordberg, A.
(2000). Spatial pattern of cerebral glucose metab-
olism (PET) correlates with localization of intra-
cerebral EEG-generators in Alzheimer’s disease.
Clinical Neurophysiology, 111, 1817–1824.
Dijksterhuis, A. (2004). Think different: The merits
of unconscious thought in preference development
and decision making. Journal of Personality and
Social Psychology, 87, 586 –598.
Dijksterhuis, A., & Aarts, H. (2010). Goals, attention,
and (un)consciousness. Annual Review of Psychol-
ogy, 61, 467– 490.
Dijksterhuis, A., Bos, M. W., Nordgren, L. F., & van
Baaren, R. B. (2006). On making the right choice:
157REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
The deliberation-without-attention effect. Science,
311, 1005–1007.
Dillon, D. G., & Pizzagalli, D. A. (2007). Inhibition
of action, thought, and emotion: A selective neu-
robiological review. Applied and Preventive Psy-
chology, 12, 99 –114.
Ekman, P., & Friesen, W. V. (1976). Pictures of
facial affect. Palo Alto, CA: Consulting Psychol-
ogists Press.
Evans, J. S. (2003). In two minds: Dual-process
accounts of reasoning. Trends in Cognitive Sci-
ences, 7, 454 459.
Gazzaniga, M. S. (2000). Cerebral specialization and
interhemispheric communication: Does the corpus
callosum enable the human condition? Brain,
123(Pt. 7), 1293–1326.
Goel, V. (2007). Anatomy of deductive reasoning.
Trends in Cognitive Sciences, 11, 435– 441.
Gruber, S. A., Rogowska, J., & Yurgelun-Todd,
D. A. (2004). Decreased activation of the anterior
cingulate in bipolar patients: An fMRI study. Jour-
nal of Affective Disorders, 82, 191–201.
Hanslmayr, S., Pasto¨tter, B., Ba¨uml, K. H., Gruber,
S., Wimber, M., & Klimesch, W. (2008). The
electrophysiological dynamics of interference dur-
ing the Stroop task. Journal of Cognitive Neuro-
science, 20, 215–225.
Hodgson, T. L., Mort, D., Chamberlain, M. M., Hut-
ton, S. B., O’Neill, K. S., & Kennard, C. (2002).
Orbitofrontal cortex mediates inhibition of return.
Neuropsychologia, 40, 1891–1901.
Hoshiyama, M., Kakigi, R., Watanabe, S., Miki, K.,
& Takeshima, Y. (2003). Brain responses for the
subconscious recognition of faces. Neuroscience
Research, 46, 435– 442.
Kahneman, D. (2003). Maps of bounded rationality:
Psychology for behavioral economics. American
Economic Review, 93, 1449 –1475.
Kennerley, S. W., Walton, M. E., Behrens, T. E.,
Buckley, M. J., & Rushworth, M. F. (2006). Op-
timal decision making and the anterior cingulate
cortex. Nature Neuroscience, 9, 940 –947.
Kensinger, E. A., & Leclerc, C. M. (2009). Age-
related changes in the neural mechanisms support-
ing emotion processing and emotional memory.
European Journal of Cognitive Psychology, 21,
192–215.
Killgore, W. D., & Yurgelun-Todd, D. A. (2004).
Activation of the amygdala and anterior cingulate
during nonconscious processing of sad versus
happy faces. NeuroImage, 21, 1215–1223.
Klucharev, V., Smidts, A., & Ferna´ndez, G. (2008).
Brain mechanisms of persuasion: How “expert
power” modulates memory and attitudes. Cogni-
tive, Affective, and Behavioral Neuroscience, 3,
353–366.
Lavric, A., Pizzagalli, D. A., & Forstmeier, S. (2004).
When “go” and “nogo” are equally frequent: ERP
components and cortical tomography. European
Journal of Neuroscience, 20, 2483–2488.
Lee, N., Broderick, A. J., & Chamberlain, L. (2007).
What is “neuromarketing”? A discussion and
agenda for future research. International Journal
of Psychophysiology, 63, 199 –204.
Lehmann, C., Mueller, T., Federspiel, A., Hubl, D.,
Schroth, G., Huber, O., . . . Dierks, T. (2004).
Dissociation between overt and unconscious face
processing in fusiform face area. NeuroImage, 21,
75– 83.
Leuchter, A. F., Uijtdehaage, S. H., Cook, I. A.,
O’Hara, R., & Mandelkern, M. (1999). Relation-
ship between brain electrical activity and cortical
perfusion in normal subjects. Psychiatry Re-
search, 90, 125–140.
Lindell, A. K. (2006). In your right mind: Right
hemisphere contributions to language processing
and production. Neuropsychology Review, 16,
131–148.
Markowitsch, H. J. (1998). Differential contribution
of right and left amygdala to affective information
processing. Behavioural Neurology, 11, 233–244.
Merikle, P. M., & Daneman, M. (1998). Psycholog-
ical investigation of unconscious perception. Jour-
nal of Consciousness Studies, 5, 5–18.
Morris, J. D., Klahr, N. J., Shen, F., Villegas, J.,
Wright, P., He, G., & Liu, Y. (2009). Mapping a
multidimensional emotion in response to television
commercials. Human Brain Mapping, 30, 789
796.
Mulert, C., Ja¨ger, L., Schmitt, R., Bussfeld, P., Poga-
rell, O., Mo¨ller, H. J., . . . Hegerl, U. (2004). Inte-
gration of fMRI and simultaneous EEG: Towards a
comprehensive understanding of localization and
time-course of brain activity in target detection.
NeuroImage, 22, 83–94.
Oakes, T. R., Pizzagalli, D. A., Hendrick, A. M.,
Horras, K. A., Larson, C. L., Abercrombie, H. C.,
. . . Davidson, R. J. (2004). Functional coupling of
simultaneous electrical and metabolic activity in
the human brain. Human Brain Mapping, 21, 257–
270.
Ohme, R., Reykowska, D., Weiner, D., & Choro-
manska, A. (2009). Analysis of neurophysiolog-
ical reactions to advertising stimuli by means of
EEG and galvanic skin response measures. Jour-
nal of Neuroscience, Psychology, and Econom-
ics, 2, 21–23.
Orozco, S., & Ehlers, C. L. (1998). Gender differ-
ences in electrophysiological responses to facial
stimuli. Biological Psychiatry, 44, 281–289.
Pardo, J. V., Pardo, P., Janer, K., & Raichle, M.
(1990). The anterior cingulate cortex mediates pro-
cessing selection in the Stroop attentional conflict
paradigm. Proceedings of the National Academy of
Sciences, USA, 87, 256 –259.
158 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
Pascual-Marqui, R. D., Lehmann, D., Koenig, T.,
Kochi, K., Merlo, M. C., . . . Koukkou, M. (1999).
Low resolution brain electromagnetic tomography
(LORETA) functional imaging in acute, neurolep-
tic-naive, first-episode, productive schizophrenia.
Psychiatry Research, 90, 169 –179.
Pascual-Marqui, R. D., Michel, C. M., & Lehmann,
D. (1994). Low resolution electromagnetic tomog-
raphy: A new method for localizing electrical ac-
tivity in the brain. International Journal of Psy-
chophysiology, 18, 49 65.
Pessoa, L. (2005). To what extent are emotional
visual stimuli processed without attention and
awareness? Current Opinion in Neurobiology, 15,
188 –196.
Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I.
(2002). Functional neuroanatomy of emotion: A
meta-analysis of emotion activation studies in PET
and fMRI. NeuroImage, 16, 331–348.
Pizzagalli, D. A., Sherwood, R. J., Henriques, J. B.,
& Davidson, R. J. (2005). Frontal brain asymmetry
and reward responsiveness: A source-localization
study. Psychological Science, 16, 805– 813.
Plassmann, H., Ambler, T., Braeutigam, S., & Ken-
ning, P. (2007). What can advertisers learn from
neuroscience? International Journal of Advertis-
ing, 26, 151–175.
Pratkanis, A. R., & Greenwald, A. G. (1988). Recent
perspectives on unconscious processing: Still no
marketing applications. Psychology and Market-
ing, 5, 337–353.
Raichle, M. E., & Mintun, M. A. (2006). Brain work
and brain imaging. Annual Review of Neurosci-
ence, 29, 449 476.
Rolls, E. T., & Grabenhorst, F. (2008). The orbito-
frontal cortex and beyond: From affect to decision-
making. Progress in Neurobiology, 86, 216 –244.
Santesso, D. L., Meuret, A. E., Hofmann, S. G.,
Mueller, E. M., Ratner, K. G., . . . Pizzagalli, D. A.
(2008). Electrophysiological correlates of spatial
orienting towards angry faces: A source localiza-
tion study. Neuropsychologia, 46, 1338 –1348.
Schienle, A., & Scha¨fer, A. (2009). In search of
specificity: Functional MRI in the study of emo-
tional experience. International Journal of Psy-
chophysiology, 73, 22–26.
Schneider, W., & Shiffrin, R. M. (1977). Controlled
and automatic human information processing: I.
Detection, search and attention. Psychological Re-
view, 84, 1– 66.
Seitz, R. J., Franz, M., & Azari, N. P. (2009). Value
judgments and self-control of action: The role of
the medial frontal cortex. Brain Research Re-
views, 60, 368 –378.
Shapiro, S. (1999). When an ad’s influence is beyond
our conscious control: Perceptual and conceptual
fluency effects caused by incidental ad exposure.
Journal of Consumer Research, 26, 16 –36.
Simpson, J. R., Ongu¨r, D., Akbudak, E., Conturo,
T. E., Ollinger, J. M., Snyder, A. Z., . . . Raichle,
M. E. (2000). The emotional modulation of cog-
nitive processing: An fMRI study. Journal of Cog-
nitive Neuroscience, 12(Suppl. 2), 157–170.
Sloman, S. A. (1996). The empirical case for two
systems of reasoning. Psychological Bulletin, 119,
3–22.
Sloman, S. A. (2002). Two systems of reasoning. In
T. Gilovich, D. Griffin, & D. Kahneman (Eds.),
Heuristics and biases: The psychology of intuitive
thought (pp. 379–396). New York, NY: Cam-
bridge University Press.
Squire, L. R. (1992). Memory and the hippocampus:
A synthesis from findings with rats, monkeys, and
humans. Psychological Review, 99, 195–231.
Stanovich, K. E., & West, R. F. (2000). Individual
differences in reasoning: Implications for the ra-
tionality debate? Behavioral and Brain Sci-
ences, 23, 645– 665.
Stole´ru, S., Redoute´, J., Costes, N., Lavenne, F.,
Bars, D. L., Dechaud, H., . . . Pujol, J. F. (2003).
Brain processing of visual sexual stimuli in men
with hypoactive sexual desire disorder. Psychiatry
Research, 124, 67– 86.
Theus, K. T. (1994). Subliminal advertising and the
psychology of processing unconscious stimuli: A
review of research. Psychology and Marketing, 11,
271–290.
Trappey, C. (1996). A meta-analysis of consumer
choice and subliminal advertising. Psychology and
Marketing, 13, 517–530.
Vitacco, D., Brandeis, D., Pascual-Marqui, R., &
Martin, E. (2002). Correspondence of event-
related potential tomography and functional mag-
netic resonance imaging during language process-
ing. Human Brain Mapping, 17, 4 –12.
Vuilleumier, P., & Pourtois, G. (2007). Distributed
and interactive brain mechanisms during emotion
face perception: Evidence from functional neuro-
imaging. Neuropsychologia, 45, 174 –194.
Warren, C. (2009). Subliminal stimuli, perception,
and influence: A review of important studies and
conclusions. American Journal of Media Psychol-
ogy, 2, 189 –210.
Warren, C. (2010, June 23). You’re soaking in it:
Persuasion and subconscious influence. Invited
lecture presented at the Smithsonian Institution,
Washington, DC.
Weinstein, S., Appel, V., & Weinstein, C. (1980).
Brain-activity responses to magazine and televi-
sion advertising. Journal of Advertising Re-
search, 20, 57– 63.
Weinstein, W., Drozdenko, R., & Weinstein, C.
(1984). Brain wave analysis in advertising re-
search: Validation from basic research and inde-
pendent replications. Psychology & Marketing, 1,
83–95.
159REGIONAL BRAIN ACTIVATION WITH ADVERTISING IMAGES
Whalen, P. J., Rauch, S. L., Etcoff, N. L., McInerney,
S. C., Lee, M. B., & Jenike, M. A. (1998). Masked
presentations of emotional facial expressions mod-
ulate amygdala activity without explicit knowl-
edge. Journal of Neuroscience, 18, 411– 418.
Yoon, C. (1997). Age differences in consumers’ pro-
cessing strategies: An investigation of moderating
influences. Journal of Consumer Research, 24,
329 –342.
Received August 24, 2009
Revision received May 16, 2011
Accepted May 16, 2011 !
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160 COOK, WARREN, PAJOT, SCHAIRER, AND LEUCHTER
... When the current scientific research is considered, the implementation of Neuromarketing is considered as a method. It has been found to be very useful for demand analysis (Cook et al., 2011). Other existing research methods have less possibilities when reaching conclusions about demand reactions. ...
... Neuromarketing research provides images of the brain's reactions to stimuli. Therefore, it is possible to present relevant media and then analyze the neural feedback for the perceived brand (Cook et al., 2011). The data obtained through Neuromarketing research is reliable and unbiased because it is not through the verbal review of people, but through neural feedback. ...
... (Carmans et al., 2006) Neuroimaging This method enables the researcher to observe the image that a specific stimulus has on neural structures. However, in order to use neuroimaging techniques, the researcher who draws conclusions must also know the triple brain theory (Cook et al., 2011). influenced that they have invested considerable resources to acquire technical equipment. ...
Conference Paper
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Determining the tourism destination is the main basis of many advertisements and marketing tools for the countries and cities of the world. Ardabil was chosen as the capital of eco-tourism in 2023 , and this is a precious opportunity to introduce the wealth and natural and historical blessings and capacities and capabilities of tourism and investment of Ardabil province and city to the world. Therefore, using all possible tools in the field of tourism, including Neuromarketing, to determine this city as a tourist destination is a requirement. The purpose of this research is to determine the impact of Neuromarketing on the attitude of tourists to decide Ardabil as a tourist destination. The current research is applied in terms of purpose and descriptive-survey research method. The statistical population of this research was all the domestic tourists of Ardabil city, of which 120 people were selected as a sample and the necessary data were collected through a questionnaire. The results of data analysis showed that the components of neuromarketing has a positive and significant effect on determining Ardabil city as their tourist destination
... The stimulus-response model studies how certain stimuli can contribute to the foundation of certain responses, mostly by predicting the response. The model is most likely related to 'classical conditioning' where the relationship is between the two interactions on how one action from one subject creates an appropriate justification that leads to an action from another subject (Cook et al., 2011;Zhang et al., 2019). ...
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Vaccination acceptance and its rates among Malaysians have generally been shown to be high during the COVID-19 pandemic; however, statistics from the Ministry of Health Malaysia show that the uptake for booster jab vaccination among Malaysians is significantly lower than the rate of uptake when the first dose of vaccinations was offered. Thus, this study examined the perceived benefits and social media exposure of booster jab vaccination practices among Malaysians, moderated by self-efficacy. The study used the Stimulus-Response model as a theoretical basis. A quantitative method was applied by conducting an online survey and gathering 300 valid data. The study employed a non-probability sampling procedure that combined purposive and convenience samplings. The data was analysed using the structural equation modeling via Partial Least Square Structural Equation Modeling (PLS-SEM). The results affirmed that perceived benefits and exposure to social media have a positive and significant relationship with booster jab practices. Meanwhile, the moderating role of self-efficacy established a negative relationship between perceived benefits and booster jab practices, and self-efficacy does not moderate the path between social media exposure and booster jab practices. The research findings provide an opportunity for more comprehensive educational programmes that focus on consistency in providing the public with adequate knowledge and communicating consistent health messages to curb the spread of the COVID-19 virus. Conclusion, implications, and future research pathways are also discussed.
... K. Tüfekçi & Akbıyık, 2023), 30 participants (Deitz et al., 2016;Shahzad et al., 2024), and 25 participants (Gauba et al., 2017) were observed. Furthermore, ten participants were observed in a study examining the emotional state regarding negative news on social media (Nguyen & Chung, 2019), while 24 participants were observed in a study on the effectiveness of rational and emotional advertising messages (Cook et al., 2011). In determining the sample size for experimental studies, considerations were given to the costs, time, and constraints on participants. ...
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One of the primary objectives of non-governmental organizations (NGOs) is to raise awareness and funds for social issues. In this respect, social media represents a crucial tool for NGOs to disseminate their messages to large audiences. This research assumes that the level of impact of message appeals may differ according to the gender of the participants. The aim of this research is to determine the differences in the level of impact of message attractiveness according to the gender of the participants. The social media platform under investigation is Instagram, the second most widely used social media platform in Turkey, according to the We Are Social 2021 social media report. In this context, stimuli for message appeals were selected from the Instagram account of UNICEF Turkey, which is effective in the fight against poverty and is the primary sustainable development goal of the United Nations. The levels of impact of the message appeals on the participants were analyzed in 48 individuals using electroencephalography (EEG), eye tracking, and survey methods. The results of the research indicated that the level of impact of the message attractiveness on the participants differed according to their gender. This suggests that social campaigns may be more effective if their messages are designed with the understanding that they will be perceived differently by the audience. Furthermore, the adoption of personalized advertising activities by NGOs may also be beneficial.
... Human choices can be analyzed in various ways such as brain images [3]; an electroencephalogram also known as EEG [4], [5]; eye tracking [6], [7]; heart rate registration [8]; and other approaches have been a recent topic in the existing literature. Customer behavior classification [9 -11] and customer face analysis studies have also been used in several studies [12], [13]. ...
... As a result, developing non-invasive, objective, and quantifiable measures for tracking client interest is crucial. Knowing the choices using various tools such as brain images [3], EEG [4], [5], eye tracking ( [6]; [7]), heart rate registration [8], and other approaches have been a recent topic in the existing literature. Customer behavior classification [9]; [10] and customer face analysis studies have also been used in several studies [11]. ...
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Background/Purpose: Quantification of consumer interest is an interesting, innovative, and promising trend in marketing research. For example, an approach for a salesperson is to observe consumer behaviour during the shopping phase and then recall his interest. However, the salesperson needs unique skills because every person may interpret their behaviour in a different manner. The purpose of this research is to track client interest based on head pose positioning and facial expression recognition. Objective: We are going to develop a quantifiable system for measuring customer interest. This system recognizes the important facial expression and then processes current client photos and does not save them for later processing. Design/Methodology/Approach: The work describes a deep learning-based system for observing customer actions, focusing on interest identification. The suggested approach determines client attention by estimating head posture. The system monitors facial expressions and reports customer interest. The Viola and Jones algorithms are utilized to trim the facial image. Findings/Results: The proposed method identifies frontal face postures, then segments facial mechanisms that are critical for facial expression identification and creating an iconized face image. Finally, the obtained values of the resulting image are merged with the original one to analyze facial emotions. Conclusion: This method combines local part-based features with holistic facial information. The obtained results demonstrate the potential to use the proposed architecture as it is efficient and works in real-time. Paper Type: Conceptual Research.
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Sosyal kampanyalar üzerinde hangi mesaj çekiciliği türünün daha etkili olduğu literatürde sıklıkla incelenmektedir. Ancak mesaj çekiciliklerinin etkinliğinin bireysel özelliklere göre değişebileceği varsayımı henüz yeni tartışılmaya başlanmıştır. Literatür incelendiğinde ise, özellikle sosyal kampanyalarda sunulan mesajların dikkat çekiciliğinin, yardım davranışında etkili olan alturistik kişilik özelliğine göre değişebileceğini inceleyen çalışmalara rastlanılmamıştır. Bu çalışma, yardım kampanyalarında sunulan mesajların dikkat çekiciliğinin alturistik kişilik özelliğine göre değişebileceğini varsaymaktadır. Çalışmada, katılımcıların mesaj çekiciliklerine yönelik dikkat düzeylerini belirlemek adına nörogörüntüleme tekniklerinden EEG (Electroencephalography) yöntemi kullanılmış ve analizler Spektral Entropi yöntemi ile gerçekleştirilmiştir. Spektral Entropi yönteminden elde edilen veriler doğrultusunda alturistik ve alturistik olmayan bireylerin mesaj çekiciliklerine ilişkin dikkat düzeyi farklılıkları SPSS programı aracılığıyla bağımsız örneklem t-testi ile analiz edilmiştir. Analiz sonuçlarında; olumsuz duygusal, olumlu duygusal ve hem rasyonel hem duygusal mesajda beynin dikkat ile ilişkili olduğu prefrontal bölgedeki BA9(AF3-AF4) ve BA8(F3-F4)’de alturistik olan ve olmayan katılımcılarda farklılaşma olduğu görülürken rasyonel mesajda herhangi bir farklılaşmaya rastlanmamıştır. Bunun yanı sıra alturistik katılımcıların alturistik olmayan katılımcılara göre olumsuz ve olumlu duygusal mesaj çekiciliklerine daha fazla dikkat ettiği görülmüştür. Aynı zamanda altursitik katılımcılar hem rasyonel hem duygusal uyaranın yer aldığı mesaja da alturisk olmayan katılımcılara göre daha fazla dikkat göstermiştir. Çalışma sonuçlarının, STK’ların sosyal medyada yardıma eğilimi yüksek olan altursitik bireylere yönelik dikkat çekici mesaj stratejileri geliştirmesine katkı sağlayacağı düşünülmektedir
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Electroencephalography (EEG) offers insights into the neural responses of consumers to marketing stimuli which can be used to evaluate the effectiveness of such stimuli in directing favorable consumer behavior in real-world settings. This practical review provides guidelines for using EEG in consumer and marketing research. It provides recommendations for how EEG may effectively be employed in neuromarketing in the future. EEG requires careful experimental design, and as such, we outline current recommendations for the collection, processing, analysis, and interpretation of EEG evoked potentials (i.e., event related potentials; ERP) and spectral content (i.e., EEG frequency). By providing an introductory overview of EEG measures in marketing and consumer research, this practical review extends previous literature that is primarily focused on other neuroimaging techniques (e.g., functional magnetic resonance imaging) and other disciplines (e.g., economics and organizational behaviour). Furthermore, by reviewing how EEG has been used throughout psychophysiological and neuromarketing research, we provide recommendations on how EEG can be used to measure marketing-related outcomes. These include processes relating to perception, attention, memory, emotion, and cognitive load, demonstrating the unique value of considering the neural responses captured by EEG in understanding and predicting consumer behavior.
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A thorough review of laboratory-type research on subliminal stimuli, perception, and influence — an area still enmeshed in controversy — suggests four conservative conclusions: (1) Subliminal perception exists, (2) subliminal stimuli can influence cognition, demonstrated in particular by the link between mere exposure and liking in social influence research, especially when the stimulus is subliminal, (3) subliminal stimuli can influence behavior both indirectly and directly, at least in some situations, and (4) as is the case with other forms of influence, including those such as persuasion that intend to offer conscious choice, subliminal influence works best when it resonates with an individual's consciously or subconsciously held predispositions. Much remains unknown, however, including the generalizability of these effects. Although field research is more tentative, with definitional and control problems that need to be solved, a sufficient body of evidence points to the following position: Advertising can affect a consumer's attitudes and behavior without the individual's conscious processing of the ad.
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In human electrophysiology, a considerable corpus of studies using event-related potentials have investigated inhibitory processes by employing the 'go-nogo' paradigm, which requires responding to one type of event while withholding the response to another type of event. Two event-related potential waveform features (N2 and P3) have been associated with larger amplitude in nogo trials than in go trials. Traditionally, these differences were thought to reflect response inhibition. Recently, the source localization of N2 to the anterior cingulate cortex, as well as the colocalization of N2 with error-related negativity, has been interpreted in terms of conflict monitoring. In order to isolate the contribution of inhibitory processes, we matched the frequency of the go and nogo events, thus minimizing differences in response conflict between event types. A data-driven analytical procedure contrasted go with nogo events across the entire event-related potential segment and found that N2 reliably differentiated between the two conditions while P3 did not. Tomographical analyses of the N2 difference observed in conditions of equal go and nogo trial frequency localized N2 to the right ventral and dorsolateral prefrontal cortex. Because a growing body of evidence implicates these brain regions in inhibitory processes, we conclude that N2 does, at least in part, reflect inhibition.
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Advertising practitioners have long been the target of charges of unethical conduct stemming from their supposed use of subliminal techniques, though very few studies have shown any value of subliminal embeds in an advertising setting. One way advertising professionals can contend with such charges is to understand as much as possible about subliminal persuasion, including the situations, if any, in which it occurs. Many studies of subliminal persuasion have investigated the effect of subliminal stimuli on cognitive constructs. The authors add to that work by focusing on affect, specifically three types of feelings identified as important to advertising effectiveness: warm, upbeat, and negative feelings. They found empirical support for the hypothesis that unconscious processing of subliminal embeds has significant effects on the upbeat and negative feelings that subjects report in response to ads. Those feelings in turn had a significant influence on ad and brand attitudes, which suggests that subliminal embeds may have a small, but indirect effect on attitudes.
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Anterior cingulate cortex (ACC) is a part of the brain's limbic system. Classically, this region has been related to affect, on the basis of lesion studies in humans and in animals. In the late 1980s, neuroimaging research indicated that ACC was active in many studies of cognition. The findings from EEG studies of a focal area of negativity in scalp electrodes following an error response led to the idea that ACC might be the brain's error detection and correction device. In this article, these various findings are reviewed in relation to the idea that ACC is a part of a circuit involved in a form of attention that serves to regulate both cognitive and emotional processing. Neuroimaging studies showing that separate areas of ACC are involved in cognition and emotion are discussed and related to results showing that the error negativity is influenced by affect and motivation. In addition, the development of the emotional and cognitive roles of ACC are discussed, and how the success of this regulation in controlling responses might be correlated with cingulate size. Finally, some theories are considered about how the different subdivisions of ACC might interact with other cortical structures as a part of the circuits involved in the regulation of mental and emotional activity.
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Older adults process emotional information differently than young adults, placing more emphasis on pleasant information. Age-related changes in emotional processing have downstream effects on the types of information that are remembered best; whereas young adults remember negative information well, older adults often show greater mnemonic benefits for positive information. Although these cognitive changes have been discussed previously (Mather, 2006; Mather & Carstensen, 2005), here we review the neural changes that may mediate these age-related changes. We suggest that changes in older adults’ recruitment of prefrontal regions during emotional processing may reflect not only age-related changes in emotion regulation but also changes in self-referential processing. Because little research has examined the links between the neural networks supporting older adults’ emotional and cognitive functioning, we conclude with a discussion of avenues meriting further research.
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Reports an error in the original article by L. R. Squire (Psychological Review, 1992[Apr], Vol 99[2], 195–231). The caption for Figure 7 was incorrect. The corrected caption is given. (The following abstract of this article originally appeared in record 1992-26428-001.) Considers the role of the hippocampus in memory function. A central thesis involving work with rats, monkeys, and humans (which has sometimes seemed to proceed independently in 3 separate literatures) is now largely in agreement about the function of the hippocampus and related structures. A biological perspective is presented that proposes multiple memory systems with different functions and distinct anatomical organizations. The hippocampus (together with anatomically related structures) is essential for a specific kind of memory, here termed declarative memory (similar terms include explicit and relational). Declarative memory is contrasted with a heterogeneous collection of nondeclarative (implicit) memory abilities that do not require the hippocampus (skills and habits, simple conditioning, and the phenomenon of priming). The hippocampus is needed temporarily to bind together distributed sites in the neocortex that together represent a whole memory. (PsycINFO Database Record (c) 2012 APA, all rights reserved)