Pone.0021881 1.8
Altered Negative Unconscious Processing in MajorDepressive Disorder: An Exploratory NeuropsychologicalStudy
Zhi Yang1, Jinping Zhao2, Yi Jiang3*, Chunbo Li4*, Jijun Wang4, Xuchu Weng3,5, Georg Northoff5,6
1 Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China, 2 School of Life Science and Technology, University of
Electronic Science and Technology of China, Chengdu, China, 3 Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,
4 Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 5 Center for Human Brain Research, Hangzhou Normal University,
Hangzhou, China, 6 Institute of Mental Health Research, University of Ottawa, Ottawa, Canada
Objective: Major depressive disorder (MDD) has been characterized by abnormalities in emotional processing. However,what remains unclear is whether MDD also shows deficits in the unconscious processing of either positive or negativeemotions. We conducted a psychological study in healthy and MDD subjects to investigate unconscious emotionprocessing and its valence-specific alterations in MDD patients.
Methods: We combined a well established paradigm for unconscious visual processing, the continuous flash suppression,with positive and negative emotional valences to detect the attentional preference evoked by the invisible emotional facialexpressions.
Results: Healthy subjects showed an attentional bias for negative emotions in the unconscious condition while this valencebias remained absent in MDD patients. In contrast, this attentional bias diminished in the conscious condition for bothhealthy subjects and MDD.
Conclusion: Our findings demonstrate for the first time valence-specific deficits specifically in the unconscious processing ofemotions in MDD; this may have major implications for subsequent neurobiological investigations as well as for clinicaldiagnosis and therapy.
Citation: Yang Z, Zhao J, Jiang Y, Li C, Wang J, et al. (2011) Altered Negative Unconscious Processing in Major Depressive Disorder: An ExploratoryNeuropsychological Study. PLoS ONE 6(7): e21881. doi:10.1371/journal.pone.0021881
Editor: Manos Tsakiris, Royal Holloway, University of London, United Kingdom
Received March 10, 2011; Accepted June 11, 2011; Published July 6, 2011
Copyright: ß 2011 Yang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Support for this work was provided by the National Basic Research Program of China (973 Program, 2007CB512306 to XW), NSFC (30900366 to ZY;31070903 to YJ), The Science Foundation from Institute of Psychology, CAS (O9CX012001 to ZY), and CIHR, EJLB-CIHR, Michael Smith, and HDRF-ISAN to GN. Thefunders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing Interests: The authors have declared that no competing interests exist.
* E-mail:
[email protected] (CL);
[email protected] (YJ)
negative emotions (see [4] for a review). In contrast, the findings inunconscious emotion processing are rather inconsistent. Some
Emotion processing operates on a conscious level as well as in an
studies reported deficits in unconscious emotional processing in
unconscious (e.g., implicit and automatic) mode, with both being
MDD [9–11] whereas others failed to find any changes in MDD [5].
associated with different neurobiological pathways [1–3]. A large
For example, Mogg et al. [12] applied a Stroop task with emotional
body of literature has focused on the conscious aspect of emotion
stimuli that were backward masked and thus unconsciously
processing as for instance in studies on emotional-cognitive regulation
presented; MDD patients did not show any abnormalities in this
and its abnormalities (e.g., [4–5]). In contrast, the unconscious aspect
task (see also [13–14]). Similarly, several studies could not observe
has been considered as the perception and earlier processing of the
an attention bias with masked emotional stimuli in depressed
emotion that precedes their cognitive regulation [6]. What remains
participants either [15–16]. A neuroimaging study [17] did not find
unclear though is whether especially these different steps in emotion
any difference in right amygdala in response to backward-masked
processing, i.e., early (unconscious) and late (conscious), are valence-
emotional faces between MDD patients and control subjects. In
specific and thus different for positive and negative emotions in
contrast, more recent analogous imaging studies did report deficits
healthy subjects (for reviews, see [7]).
in the amygdala activity during masked faces [9–11]. Taken
The situation is even more complicated in patients with major
together, recent findings on unconscious emotional processing are
depressive disorder (MDD) who suffer from an abnormal imbalance
inconsistent with regard to the unconscious deficits in MDD patients
between positive and negative emotions (see [8] for a recent review).
and it also remains unclear whether they are valence-specific.
MDD can be characterized by deficits in conscious emotion
Due to the fact that the commonly applied technique of
processing as it is, for instance, required in regulation of especially
backward masking yielded rather mixed results in unconscious
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Altered Negative Unconscious Processing in MDD
emotional processing in MDD, we here adopted a different
a mirror stereoscope mounted on a chinrest, each eye of the
approach, continuous flashing interocular suppression (CFS) [18–
participant could only see the frame on the same side, and the
20]. The CFS has been successfully and reliably used to tap into
mirror stereoscope was adjusted so that the two frames were
the implicit and automatic processing in the visual domain [21–
comfortably fused together for the participant. The viewing
22]. Compared to the backward-masking technique, the CFS can
distance was 40 cm (see [27] for setup of the equipment).
present information unconsciously throughout a relatively long
The general experimental paradigm is shown in Figure 1. There
viewing period (sometimes longer than 3 mins), potentially
were two separate sessions for invisible and visible stimuli, each
allowing for more robust and reliable unconscious processing
containing 80 trials. At the beginning of each trial, a fixation cross
[23]. In order to investigate the unconscious processing in the
(visual angle 0.8u60.8u) was presented to each eye for one second.
emotional domain, we combined the CFS with emotional faces of
The following stimuli lasted for 800 ms in Experiments 1 and 3,
positive and negative valences. Using this paradigm, we conducted
and 200 ms in Experiment 2. The only difference between visible
two experiments in healthy subjects using different stimulus
and invisible sessions was the content of the stimuli: In the invisible
durations (200 ms, 800 ms) of the viewing period (Experiments 1
session, a pair of faces with different emotional expressions was
and 2). This served as the basis for a third experiment (Experiment
presented to the participant's non-dominant eye (tested before
3) where we directly compared healthy and MDD subjects in the
experiment), while a pair of identical high contrast dynamic noise
emotional CFS to explore the valence-specific deficits in
patches was presented to the dominant eye, so that the participant
unconscious emotional processing in MDD.
only perceived the identical noise patches due to the stronginterocular suppression. For the visible session, a pair of faces with
different emotional expressions was presented to both eyes and theparticipants could perceive the faces.
Each of the above face pairs was formed by grey-scale images of
All participants were recruited at Shanghai Mental Health
a positive and a negative emotional faces (4u66u of visual angle),
Center. After a complete description of the study, written informed
which were selected from happiness and sadness categories from
consent was obtained from each participant. The protocol of this
three actors/actresses in Ekman and Friesen's [28] pictures of
study was approved by the Institute's Ethical Committees of both
facial affect. The faces were masked using an ellipse so that the
Shanghai Mental Health Center and Institute of Psychology,
hair and background in the face images were excluded. The noise
Chinese Academy of Sciences.
patches were masked in the same way to ensure their shape is the
For Experiments 1 and 2, twenty healthy participants (13
same as the face images. The distance between the centers of the
females, 24.064.2 years old) were recruited according to following
two faces was around 5u. In half of the trials, the positive
criteria: 13-term version of Beck Depression Inventory (BDI-13)
emotional faces were presented to the left, and the negative ones to
#4; Self-rating Anxiety Scale (SAS)#40; 17-term version of
the right side. For the other half trials, the positions were reversed.
Hamilton Rating Scale for Depression (HAMD-17)#7; 14-term
The above stimuli were followed by a 100-ms fixation cross, and
version of Hamilton Rating Scale for Anxiety (HAMA-14)#7;
then identical small Gabor patches (2.5u62.5u) were presented to
normal or corrected-to-normal vision (tested with international
both eyes for 100 ms. The positions of the Gabor patches were the
standard visual testing chart); no history of psychiatric or
centers of either the left or right previously presented faces. The
neurologic (or medial) disease; and no substance abuse. Both
Gabor patches were tilted one degree clockwise or counterclock-
HAMD-17 and HAMA-14 have Chinese versions with good
wise (randomized), and the participant was instructed to press one
reliability and validity [24].
of the two buttons (2-alternative force choice) to indicate their
For Experiment 3, twenty-three inpatients with MDD diag-
perception of the orientation of the Gabor patches, regardless of
nosed according to DSM-IV by two professional psychiatrists were
which side the Gabor patches were presented to. The fixation
recruited (13 females, 31.869.8 years old). Only subjects with
would not end until the participants made their choice. Among all
BDI-13 score.7 and HAMD-17.7 were included. All the
80 trials in each session, the presentation sides of the emotional
participants were cooperative during the test without severe
faces and that of the Gabor patches were balanced so that there
suicidal ideation. The average HAMD score was 19.6 (SD = 9.3).
were 20 trials for each combination. The button-press and
MDD patients with severe anxious symptoms (Self-rating Anxiety
response time (RT) relative to the onset of the Gabor patch
Scale (SAS).60, 14-item version of Hamilton Rating Scale for
presentations was recorded.
Anxiety (HAMA-14).29) and/or other neurologic, psychiatric or
Before the experiment, the participants were familiarized with
medical disorders were excluded from the study. MDD patients
the paradigm through a 50-trial training session. To ensure the
were either medicated or not (serotoninergic drugs; see Table 1 for
participants were never explicitly aware of the invisible faces, they
were instructed to press a different key to reject the trial if they
In addition, twenty-three healthy control participants (HC, 13
detected grey-scale images during the invisible session. If more
females, 29.8610.1 years old) matched for age and gender with
than two trials were rejected in the invisible session, the data for
the MDD patients were recruited according to the criteria in
the corresponding participant were excluded from further
Experiment 1; this sample of healthy subjects was different from
the one reported in Experiments 1 and 2. Demographic and
Experiments 1 and 2 were exactly the same except that the
clinical data for the MDD (further separated into medicated and
duration of the face presentation was 800 ms in Experiment 1 and
un-medicated) and the HC groups were listed in Table 1 (Part of
200 ms in Experiment 2. Experiment 3 was the same as
the information was obtained after data screening).
experiment 1 but was applied to different participant populations,i.e., a new group of HC and a MDD group. For each session, the
Stimuli and Procedure
participants' responses were divided into two categories according
Stimuli were programmed with the psychophysical toolbox [25–
to the emotional valence of the faces that were on the same side
26] on MATLAB (The MathWorks, Natick, MA), and were
with the Gabor patches. The stimuli categories were defined as
presented on a 17-inch flat-panel monitor. Two square frames
positive and negative emotion respectively. For each category,
(10.7u610.7u) were displayed side by side on the screen. Through
response accuracy (denoted as Accpos and Accneg) was calculated
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Altered Negative Unconscious Processing in MDD
Table 1. Clinical information summary of the participants.
Mean Illness Duration (Yrs)
*Antidepressants (mg/d): Escitalopram(10); Sertraline(50); Paroxetine(20); Fluvoxamine(50); Fluoxetine(20); Venlafaxine(75); Citalopram(20); Mirtazapine(15); Doxepin(25); Trazodone (50); John's Wort Extracts (300).
doi:10.1371/journal.pone.0021881.t001
by dividing the number of correct responses by the total number of
first performed to examine the gender and age difference between
valid trials. The trials with RT longer than 1500 ms or shorter
the two groups. After the within-group analyses (as used in
than 100 ms were excluded. Within each session, the inter-
Experiments 1 and 2), we further separated the MDD patients into
category response accuracy difference, dAcc = Accpos2Accneg, was
medicated and unmedicated groups, and conducted a repeated-
used as a measure of attention preference. A positive or negative
measure two-way ANOVA (visible/invisible6medicated/unmed-
value indicated attention preference to the positive or negative
icated) to examine the main effects and interactions between the
emotional faces respectively.
two factors. Similarly, we conducted another repeated-measuretwo-way ANOVA (visible/invisible6HC/MDD) to examine the
Statistical analysis
difference between the healthy control and MDD participants.
In Experiments 1 and 2, the response accuracies for the positive
and negative stimuli were separately tested against zero (using one-
sample t-tests) for both the visible and the invisible conditions. Theattention preference, as measured by dAcc = Acc
Experiment 1 (800 ms): Healthy subjects
further tested (using paired t-tests) between the invisible and visible
No participants were excluded according to the criteria
conditions. In Experiment 3, before the above statistical analyses
described in Methods. One-sample t-tests showed that the
were conducted for each participant group, Chi-square tests were
accuracy difference in the invisible session (dAccinvisible) was
Figure 1. Schematic representation of the experimental paradigm for the invisible and visible conditions. In the invisible condition,dynamic noise patches were presented to the dominant eye and faces with happy and sad emotional expressions were presented to the other eye.
The duration of the face presentation was 800 ms for Experiments 1 and 3, and 200 ms for Experiment 2. After a 100-ms interval, participants wereinstructed to press one of two buttons as soon and accurate as possible to indicate the perceived orientation (clockwise or counter-clockwise) of aGabor patch presented for 100 ms. In the visible condition, the dynamic noise patches were replaced by the same pair of faces presented to the othereye.
doi:10.1371/journal.pone.0021881.g001
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Altered Negative Unconscious Processing in MDD
significantly lower than zero [t(19) = 24.964, p = .000], indicating
the difference between the invisible and visible sessions failed to
observers' attentional preference for negative faces. This contrast-
ed with the accuracy difference in the visible session (dAccvisible)
p = .119] (See Figure 2, 200 ms group).
that was not significantly different from zero [t(19) = .178, p = .867]thus showing no attentional bias for positive or negative valences.
Experiment 3 (800 ms): Healthy and MDD subjects
To further confirm the difference between visible and invisible
Due to low response accuracy (lower than chance level), two
sessions, we calculated the dAcc difference between both
MDD patients had to be excluded. In the HC group, one
conditions and the result was significant [dAccinvisible2dAccvisible,
participant was excluded due to too few valid trials caused by
t(19) = 22.595, p = .018] (see Figure 2). The difference is further
abnormal response time. The age and gender ratio was matched
demonstrated in the scatter plot of dAccinvisible and dAccvisible for
between the two groups [age: t(41) = .524, p = .603, gender ratio:
individual participants (see Figure 3A). In addition, we used a
x2(1) = .020, p = .887]. The detailed demographic and clinical data
standard bootstrapping procedure [29–30] to highlight the central
are presented in Table 1.
tendency of dAccinvisible and dAccvisible. Specifically, from the
A repeated-measure two-way ANOVA was performed to
original participants, a bootstrapped sample with the same sample
examine the difference between medicated and unmedicated
size (i.e., 20 participants) was nonparametrically resampled with
MDD subjects in the dAcc in both experimental conditions, visible
replacement (i.e., a participant could be selected more than once).
and invisible; this yielded no significant statistics in either main
The averaged dAccinvisible and averaged dAccvisible from this
effects or interactions between medication groups and the
bootstrapped sample was then plotted as a scatter plot (see
experimental conditions [F(1, 19) = .17, p = .684 for main effect of
Figure 3B). This procedure was repeated for 1000 times, and
the experimental conditions, F(1, 19) = .325, p = .575 for experi-
histograms representing population means and variations were
mental condition6medication group interaction]. This indicated
generated for the dAccinvisible and dAccvisible respectively. The
the medication did not play an important role in the results, and
histogram of dAccinvisible had a much higher kurtosis than that of
therefore the two MDD groups were merged for further analyses.
dAccvisible while the mode of the dAccinvisible histogram was clearly
The dAcc difference between the MDD and HC groups across
lower than zero (See Figure 3B).
two experimental conditions (visible and invisible) was examinedby a repeated-measure two-way ANOVA. The results showed a
Experiment 2 (200 ms): Healthy subjects
significant interaction effect between the experimental conditions
The same group of participants in Experiment 1 also participated
and the subject groups [F(1, 41) = 4.537, p = .039].
in Experiment 2 which differed only in the presentation duration of
Further simple effect analysis showed significant dAcc difference
the stimulus (200 ms instead of 800 ms). This experiment was
between MDD and HC groups in the invisible condition [F(1,
undertaken to further examine whether the stimulus presentation
41) = 7.900, p = .008, see Figure 4]. The dAccinvisible for the MDD
duration modulates the unconscious effects observed in the invisible
group was not significantly different from zero [t(20) = 2.153,
condition in Experiment 1. The dAcc
p = .880], indicating that there was no bias between positive and
invisible was not significantly
different from zero [t(19) = 2.442, p = .663] while the dAcc
negative valences in MDD patients in the invisible condition. In
significantly higher than zero [t(19) = 2.519, p = .021]. Hence, the
contrast, the dAccinvisible for the HC group was significantly
shorter presentation time blurs the attentional preference to
negative [t(21) = 24.296, p = .000], which was consistent with the
negative emotions in the unconscious mode while it yields a positive
findings in Experiment 1.
bias in the conscious mode (See Figure 2, 200 ms group). However,
In the visible condition, however, there was no significant
dAccvisible difference between HC and MDD groups [F(1,14) = .030, p = .874, see Figure 4]. Specifically, the dAccvisible forthe MDD groups was not significantly different from zero[t(20) = 24.296, p = .864], and so was the dAccvisible for the HCgroups [t(21) = .507, p = .618].
Similarly, we presented scatter plots for individual participants
as in Experiment 1 to demonstrate that the difference between theMDD and HC groups in the invisible condition was more robustthan in the visible condition (see Figure 5A). To highlight the inter-group difference on dAccinvisible, bootstrap resampling proceduressimilar to that used in Experiment 1 were conducted within eachof the groups (see Figure 5B). The histograms representingpopulation means and variations showed significant differencebetween the two groups in the invisible condition but not in thevisible condition.
Figure 2. Comparison on attention preference in different
This study investigated unconscious positive and negative
sessions for healthy controls. The attention preference was indexedby difference in performance accuracy of the Gabor patch orientation
emotion processing in both clinical MDD patients and healthy
judgment task. A positive value indicates attention preference to happy
controls. The main findings are: 1) Healthy subjects preferred to
faces, and a negative value indicates attention preference to sad faces.
attend to positive emotional-valence stimuli in the visible, i.e.,
In the 800-ms session, the invisible condition revealed significantly
conscious condition, while negative valences significantly attracted
negative attention preference while the visible condition did not show
more attention in the invisible, i.e., unconscious condition; and 2)
significant valence preference. In the 200-ms session, no significant
the unconscious attention preference to negative emotional
valence preference was observed in the invisible condition; the visiblecondition showed a positive trend though.
valences remained absent in MDD patients which allowed to
clearly distinguish them from the healthy group.
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Figure 3. Individual attention preference of healthy participants in the invisible and visible conditions. (A) Scatter plot of individualattention preference across the invisible and the visible conditions. Each dot represents the attention preference for a participant. The locations ofthe dots are determined by the visible (horizontal axis) and the invisible (vertical axis) conditions. The zero levels that indicate no attention preferenceare illustrated using dotted-lines. Except two participants, all others show a negative attention preference in the invisible condition, but no such trendappears in the visible conditions. (B) Scatter plot of bootstrapped sample means of the attention preference. 1000 datasets are resampled from theoriginal participants, each containing 20 participants, and the mean attention preference metrics for both invisible (horizontal axis) and visibleconditions (vertical axis) for each resampled dataset are represented by a point on the scatter plot. The locations of the points are separatelyprojected to the horizontal and the vertical axes, and the histograms are used to represent the distribution of the projected locations for the visibleand the invisible conditions respectively. In the invisible condition, the distribution is below the zero level and has a relatively small deviation,indicating a robust negative bias in population level, while the distribution for the visible condition is centered at the zero.
doi:10.1371/journal.pone.0021881.g003
Valence-specific unconscious emotional processing in
[31] found that both positive and negative emotional reactions can
be unconsciously evoked (also [32]); Jiang and He [33] showed
Healthy subjects showed attention preference to sad facial
that amygdala activity could be induced by fearful but not neutral
expression in the unconscious condition (Experiment 1). This is in
facial expressions during unconscious presentation. What remains
accordance with various studies showing that emotional contents
unclear though is whether this preference for emotions in the
as distinguished from non-emotional ones are preferentially
unconscious mode is valence-specific, meaning whether it pertains
processed in unconscious condition. For example, Dimberg et al.
specifically for negative or positive emotions.
Our findings in healthy subjects demonstrated that processing in
especially the unconscious mode is valence-specific by showing thespecific impact of negative emotions. However, such preference fornegative emotions was not observed in the conscious mode wherethe opposite valence, positive emotions, dominated. This raises thequestion for possible mechanisms of this preference for negativeemotions in the unconscious mode. One may assume that negativeemotions are processed with stronger and possibly also faster thanpositive emotions in the unconscious mode. This may also beneurobiologically plausible given that unconscious processing ofnegative emotions has been specifically associated with direct fastsubcortical pathways from the visual cortex to the amygdala (see[34,35] for a review). In contrast, conscious processing has beenrelated to relatively slower connections from the amygdala to theprefrontal cortex (for a review, see [5]) (see Figure 6a). However,this assumption remains speculative at this point awaiting furthersupporting evidence from future functional imaging studies.
In contrast to the preference for negative emotions in the
unconscious mode, we observed a preference for positive emotions
Figure 4. Comparisons of attention preference between
in the conscious mode in Experiment 2. This is well in accordance
healthy controls and MDD patients. In the invisible condition,
with previous studies that also observed a similar positive attention
the healthy controls showed significantly negative attention preference,
bias in the conscious condition in healthy participants [36–39].
but the MDD patients did not. The difference between the two groups
It should be noted though that we obtained such positive
was significant. In the visible condition, the two groups behavedsimilarly.
preference only in our Experiment 2 whereas it was not observed
in Experiment 1. We suspected that this was due to the 800-ms cue
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Figure 5. Individual attention preference of healthy controls and MDD patients. (A) Scatter plot of attention preference of MDD patients(blue points) and healthy controls (red points) across the visible (horizontal axis) and the invisible (vertical axis) conditions. The horizontal and verticaldash lines represent the no-preference level for the visible and invisible conditions respectively. Most healthy controls showed negative attentionpreference in the invisible condition (most red points are below horizontal dash line), but there was no such trend in MDD patients (the blue pointsshow no obvious trend relative to the horizontal dash line). (B) Scatter plot of bootstrapped sample means of the two groups. For each participantgroup, 1000 datasets (with the same number of participants of the original group) are resampled from the original participants, and the meanattention preference metrics for both invisible and visible conditions for each dataset are represented by locations of the points on the scatter plot.
The locations are projected to horizontal and vertical axes, based on which the distributions of attention preference metrics for the visible andinvisible conditions are generated. The distribution for the MDD patients (blue histograms) and the healthy controls (red histograms) are clearlyseparated in the invisible condition but mixed together in the visible condition, showing a good separation between the two participant groups inthe invisible paradigm.
doi:10.1371/journal.pone.0021881.g005
duration as adopted and optimized for the unconscious condition
[40–42]. Taken together, these findings support the proposed
[18,27]. Due to this rather long duration, participants may have
hypothesis that depressed individuals may not automatically (and
directed their attention away from the stimuli in the conscious
thus unconsciously) orient their attention towards negative
condition thereby preventing the positive emotions form exerting
information in the environment, but once such information has
their full effect. In order to avoid this problem, we reduced the
come to be the focus of their attention, they may have greater
exposure duration to 200 ms in Experiment 2. As a result, the
difficulty disengaging from it [5].
positive bias in the visible condition was observed as expected,
Our results may also be clinically relevant in that unconscious
which though impact the unconscious condition and its preference
negative emotional processing may provide a novel and more
for negative emotions in a negative way. Though seemingly a
viable target for future psychotherapeutic and/or pharmacother-
merely methodological problem, the impact of the duration time
apeutic intervention than conscious emotion regulation strategies.
on the interaction with positive and negative emotions in both
More specifically, it means that we have to target unconscious
unconscious and conscious modes may point to an underlying
processing rather than conscious processing as targeted in
neurophysiological mechanism. More specifically, our results
Cognitive Behavioral Therapy. Hence, our hypothesis, if con-
suggest that the temporal duration of the stimulus may be central
firmed in the future, may stipulate the development of more
for inducing the neurophysiological mechanisms underlying the
specific psychotherapeutic strategies.
valence-specific effects in both unconscious and conscious modes.
The same obviously holds for pharmacotherapeutic strategies.
This remains to be investigated in the future.
As discussed above, unconscious processing is mediated predom-inantly by fast processing in subcortical systems, while conscious
Disturbed negative emotional unconscious processing in
processing is rather related to slower processing in cortical regions.
depressed patients
Interestingly, depressed patients indeed show major resting state
In contrast to the healthy subjects, MDD patients did not show
abnormalities in these subcortical regions ranging from the brain
any preference towards negative emotions in the invisible
stem (raphe nucleus, locus coerulus) to the dorsomedial thalamus,
condition, i.e., the unconscious mode. Hence, their automatic
the PAG, the tectum, the colliculi, and the amygdala (and
and implicit negative emotional processing seems to be diminished
ultimately to the cortex [6,9–11,17,43–45]).
in the unconscious mode. This complements and extends the
How are the resting state abnormalities in these regions related
many findings showing a negative bias in conscious emotion
to the observed deficits in unconscious negative emotional
processing in for instance emotion regulation and attention tasks
processing? The abnormally high resting state activity [46] may
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Altered Negative Unconscious Processing in MDD
Figure 6. Conceptual schema combining the implications of the current findings into a general framework. As proposed by numericalstudies, the emotional stimuli are processed through three general phases, including analysis of stimulus features, recognition and response toemotion, and emotion regulation. The processing can be separated into conscious and unconscious parts. (A) Framework for healthy participants.
Studies on conscious emotion processing have suggested a positive preference in healthy subjects [39], we therefore mark the positive processing inconscious processing using a bold arrow and the negative processing using a narrow arrow. Our findings indicate that in the unconscious processingstage, the negative emotions may be processed through a stronger and faster pathway, as indicated by the bold arrow. (B) Framework for MDDpatients. Our findings also suggest that MDD patients may have a deficit in unconscious negative emotion processing (see the thinner arrow fornegative emotion in the unconscious part). This, in turn, may affect the conscious processing which then becomes shifted from positive to negativeemotion preference (see the bolder arrow for negative emotion in the conscious part) in order to compensate the hitherto incomplete processing ofnegative emotions in the deficient unconscious mode.
doi:10.1371/journal.pone.0021881.g006
affect first and predominantly the primary and fast unconscious
puzzled about the relevance and significance of negative emotions;
processing of emotional stimuli while it may exert less impact on
this in turn may induce the often described emotion regulation
the slower conscious processing. One would hence assume
deficits and the abnormal attention bias towards negative emotions
abnormally decreased rest-stimulus interaction [47] in subcortical
in the conscious mode (see Figure 6b).
midline regions in MDD during especially negative emotional
In conclusion, we here demonstrate for the first time negative
processing. Such decreased rest-stimulus interaction may then be
valence-specific effects in unconscious emotion processing in
manifested in decreased preference for negative emotions in the
healthy subjects and their disruption in MDD patients. This
unconscious mode and that is exactly what we observed in our
yields not only novel insights into unconscious processing in
current study. Based on our findings, one may envision the
general but suggests also that the often observed negative bias in
developments of pharamcotherapeutic strategies (and other
the conscious mode in MDD may result from a deficit in
therapeutic tools like deep brain stimulation) that specifically
unconscious negative processing.
target the subcortical fast tracks and their rest-stimulus interac-tion rather than the cortical slow connections. This however
Author Contributions
remains a scenario for the future.
Conceived and designed the experiments: ZY JZ YJ CL. Performed the
How the deficits in unconscious negative processing are related
experiments: ZY JZ CL JW. Analyzed the data: ZY JZ. Contributed
to the conscious processing of emotions? Depressed patients show
reagents/materials/analysis tools: XW. Wrote the paper: ZY YJ CL XW
a deficit in unconscious emotion processing which may let them
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1. Adolphs R (2002) Neural systems for recognizing emotion. Curr Opin Neurobiol
24. Zhang M (1995) Handbook of Psychiatric Measures. Changsha: Hunan Science
12: 169–177.
and Technology Press.
2. LeDoux JE (1996) The emotional brain. New York: Simon and Schuster. 384 p.
25. Brainard DH (1997) The psychophysics toolbox. Spatial Vision 10: 433–436.
3. Phillips ML, Drevets WC, Rauch SL, Lane RD (2003) The neurobiology of
26. Pelli DG (1997) The VideoToolbox software for visual psychophysics:
emotion perception I: Towards an understanding of the neural basis of normal
Transforming numbers into movies. Spatial Vision 10: 437–442.
emotion perception. Biol Psychiatry 54: 504–514.
27. Yan X, Jiang Y, Wang J, Deng Y, He S, et al. (2009) Preconscious attentional
4. Joormann J, Gotlib IH (2010) Emotion regulation in depression: Relation to
bias in cigarette smokers: A probe into awareness modulation on attentional bias.
cognitive inhibition. Cogn Emot 24: 281–298.
Addict Biol 14: 478–488.
5. Gotlib IH, Joormann J (2010) Cognition and depression: Current status and
28. Ekman P (1976) Pictures of facial affect. Palo Alto: Consulting Psychologists.
future directions. Annu Rev Clin Psychol 6: 285–312.
29. Efron B, Tibshirani R (1993) An introduction to the bootstrap. New York:
6. Tsuchiya N, Adolphs R (2007) Emotion and consciousness. Trends Cogn Sci 11:
Chapman and Hall. 456 p.
30. Davison AC, Hinkley DV (1997) Bootstrap methods and their application.
7. Wiens S (2006) Subliminal emotion perception in brain imaging: Findings,
Cambridge: Cambridge Univ Press. 592 p.
issues, and recommendations. Prog Brain Res 156: 105–121.
31. Dimberg U, Thunberg M, Elmehed K (2000) Unconscious facial reactions to
8. Northoff G, Hayes DJ (2011) Is our self nothing but reward? Biol Psychiatry, In
emotional facial expressions. Psychol Sci 11: 86–89.
32. Ruys KI, Stapel DA (2008) The secret life of emotions. Psychol Sci 19: 385–391.
9. Dannlowski U, Ohrmann P, Bauer J, Kugel H, Arolt V, et al. (2007) Amygdala
33. Jiang Y, He S (2006) Cortical responses to invisible faces: Dissociating
reactivity to masked negative faces is associated with automatic judgmental bias
subsystems for facial-information processing. Curr Biol 16: 2023–2029.
in major depression: a 3 T fMRI study. J Psychiatry Neurosci 32: 423–429.
34. Phelps EA, LeDoux JE (2005) Contributions of the amygdala to emotion
10. Suslow T, Konrad C, Kugel H, Rumstadt D, Zwitzerlood P, et al. (2010)
processing: From animal models to human behavior. Neuron 48: 175–187.
Automatic mood-congruent amygdala responses to masked facial expressions in
35. Leppanen JM (2006) Emotional information processing in mood disorders: A
major depression. Biol Psychiatry 67: 155–160.
review of behavioral and neuroimaging findings. Curr Opin Psychiatr 19: 34–39.
11. Victor TA, Furey ML, Fromm SJ, Ohman A, Drevets WC (2010) Relationship
36. Hugdahl K, Iversen PM, Johnsen BH (1993) Laterality for facial expressions:
between amygdala responses to masked faces and mood state and treatment in
Does the sex of the subjects interact with the sex of the stimulus face? Cortex 29:
major depressive disorder. Arch Gen Psychiatry 67: 1128–1138.
12. Mogg K, Bradley BP, Williams R, Mathews A (1993) Subliminal processing of
37. Kirita T, Endo M (1995) Happy face advantage in recognizing facial
emotional information in anxiety and depression. J Abnorm Psychol 102:
expressions. Acta Psychol 89: 149–163.
13. Lim S, Kim J (2005) Cognitive processing of emotional information in
38. McCabe SB, Gotlib IH, Martin RA (2000) Cognitive vulnerability for
depression, panic, and somatoform disorder. J Abnorm Psychol 114: 50–61.
depression: Deployment of attention as a function of history of depression and
14. Yovel I, Mineka S (2005) Emotion-congruent attentional biases: The perspective
current mood state. Cognitive Ther Res 24: 427–444.
of hierarchical models of emotional disorders. Pers Indiv Differ 38: 785–795.
39. Yoon KL, Hong SW, Joormann J, Kang P (2009) Perception of facial
15. Mogg K, Bradley BP, Williams R (1995) Attentional bias in anxiety and
expressions of emotion during binocular rivalry. Emotion 9: 172–182.
depression: The role of awareness. Br J Clin Psychol 34(Pt 1): 17–36.
40. Gotlib IH, Krasnoperova E, Yue DN, Joormann J (2004) Attentional biases for
16. Mathews A, Ridgeway V, Williamson DA (1996) Evidence for attention to
negative interpersonal stimuli in clinical depression. J Abnorm Psychol 113:
threatening stimuli in depression. Behav Res Ther 34: 695–705.
17. Sheline YI, Barch DM, Donnelly JM, Ollinger JM, Snyder AZ, et al. (2001)
41. Gotlib IH, Kasch KL, Traill S, Joormann J, Arnow BA, et al. (2004) Coherence
Increased amygdala response to masked emotional faces in depressed subjects
and specificity of information-processing biases in depression and social phobia.
resolves with antidepressant treatment: an fMRI study. Biol Psychiatry 50:
J Abnorm Psychol 113: 386–398.
42. Leppanen JM, Milders M, Bell JS, Terriere E, Hietanen JK (2004) Depression
18. Jiang Y, Costello P, Fang F, Huang M, He S (2006) A gender- and sexual
biases the recognition of emotionally neutral faces. Psychiatry Res 128: 123–133.
orientation-dependent spatial attentional effect of invisible images. Proc Natl
43. Panksepp J (1998) Affective neuroscience: The foundations of human and animal
Acad Sci U S A 103: 17048–17052.
emotions. New York: Oxford Univ Press. 480 p.
19. Fang F, He S (2005) Cortical responses to invisible objects in the human dorsal
44. Grimm S, Ernst J, Boesiger P, Schuepbach D, Hell D, et al. (2009) Increased
and ventral pathways. Nat Neurosci 8: 1380–1385.
self-focus in major depressive disorder is related to neural abnormalities in
20. Tsuchiya N, Koch C (2005) Continuous flash suppression reduces negative
subcortical-cortical midlines structures. Hum Brain Mapp 30: 2617–2627.
afterimages. Nat Neurosci 8: 1096–1101.
45. Alcaro A, Panksepp J, Witczak J, Hayes DJ, Northoff G (2010) Is subcortical–
21. Sterzer P, Kleinschmidt A, Rees G (2009) The neural bases of multistable
cortical midline activity in depression mediated by glutamate and GABA? A
perception. Trends Cogn Sci 13: 310–318.
cross-species translational approach. Neurosci Biobehav R 34: 592–605.
22. Brascamp JW, Knapen THJ, Kanai R, Van Ee R, Van Den Berg AV (2007)
46. Northoff G, Wiebking C, Feinberg T, Panksepp J (2011) The ‘resting-state
Flash suppression and flash facilitation in binocular rivalry. J Vision 7: 1–12.
hypothesis' of major depressive disorder—A translational subcortical–cortical
23. Tsuchiya N, Koch C, Gilroy LA, Blake R (2006) Depth of interocular
framework for a system disorder. Neurosci Biobehav R, In press.
suppression associated with continuous flash suppression, flash suppression, and
47. Northoff G, Qin P, Nakao T (2010) Rest-stimulus interaction in the brain: a
binocular rivalry. J Vision 6: 1068–1078.
review. Trends in Neurosciences 33: 277–284.
PLoS ONE www.plosone.org
July 2011 Volume 6 Issue 7 e21881
Source: http://vision.psych.ac.cn/files/PLoSONE2011-1.pdf
DOPING IN SPORT Introduction 1. During the Sydney Olympic Games in 2000, a Panel of the Court of Arbitration & Sport ("CAS") issued a decision in the case of the young Roumanian gymnast, Ms Raducan. That decision included the following: "The Panel is aware of the impact its decision will have on a fine, young, elite athlete. It finds, in balancing the interests of Ms Raducan with the commitment of the Olympic Movement to drugs-free sport, the Anti-Doping Code must be enforced without compromise."
Impact of antiretroviral therapy on liver disease progression and mortality in patients co-infected with HIV and hepatitis C Systematic review and meta-analysis Alexis Llewellyn, Mark Simmonds, Ginny Brunton, Social Science Research UnitUCL Institute of EducationUniversity College London EPPI-Centre report no. 2304October 2015 The authors are from the Centre for Reviews and Dissemination, University of York; and the EPPI-Centre, UCL Institute of Education, University College London.