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Published Online: 1 January 2014

The Neural Correlates of Anomalous Habituation to Negative Emotional Pictures in Borderline and Avoidant Personality Disorder Patients

Abstract

Failure to attain emotional habituation may contribute to the rapidly and abruptly shifting moods that characterize borderline personality disorder. The absence of increased dorsal anterior cingulate activity during habituation to negative pictures was associated with affective instability in borderline patients, but was not simply characteristic of personality disorders in general.

Abstract

Objective

Extreme emotional reactivity is a defining feature of borderline personality disorder, yet the neural-behavioral mechanisms underlying this affective instability are poorly understood. One possible contributor is diminished ability to engage the mechanism of emotional habituation. The authors tested this hypothesis by examining behavioral and neural correlates of habituation in borderline patients, healthy comparison subjects, and a psychopathological comparison group of patients with avoidant personality disorder.

Method

During fMRI scanning, borderline patients, healthy subjects, and avoidant personality disorder patients viewed novel and repeated pictures, providing valence ratings at each presentation. Statistical parametric maps of the contrasts of activation during repeated versus novel negative picture viewing were compared between groups. Psychophysiological interaction analysis was employed to examine functional connectivity differences between groups.

Results

Unlike healthy subjects, neither borderline nor avoidant personality disorder patients exhibited increased activity in the dorsal anterior cingulate cortex when viewing repeated versus novel pictures. This lack of an increase in dorsal anterior cingulate activity was associated with greater affective instability in borderline patients. In addition, borderline and avoidant patients exhibited smaller increases in insula-amygdala functional connectivity than healthy subjects and, unlike healthy subjects, did not show habituation in ratings of the emotional intensity of the images. Borderline patients differed from avoidant patients in insula-ventral anterior cingulate functional connectivity during habituation.

Conclusions

Unlike healthy subjects, borderline patients fail to habituate to negative pictures, and they differ from both healthy subjects and avoidant patients in neural activity during habituation. A failure to effectively engage emotional habituation processes may contribute to affective instability in borderline patients.
Borderline personality disorder, an enduring condition that is present in an estimated 2.7% of the population (1), is characterized by severe affective instability, turbulent interpersonal relationships, and impulsive aggression (2). Approximately 10% of borderline patients commit suicide (2), and suicidality in borderline patients is associated with affective instability (3). Despite the clinical significance of affective instability, the processes that underlie it in this population are not understood (4). One factor that could contribute is an impaired ability to engage the adaptive emotional regulatory processes commonly used in healthy individuals. These include voluntary emotion regulation strategies such as cognitive reappraisal (5) and implicit processes such as habituation, whereby multiple exposures to a stimulus yield diminished responsivity (6). Anomalous neural activity has been identified in borderline patients during cognitive reappraisal (7, 8). In the present study, we extend this work to examine whether emotional habituation mechanisms are impaired as well.
Habituation of affect, which entails a reduction in subjective distress upon repeated exposure to an aversive stimulus, is a well established and highly adaptive psychophysiological phenomenon. Habituation plays a critical role as well in psychotherapeutic interventions such as desensitization (9). Neuroimaging studies in healthy individuals have demonstrated that habituation is associated with decreases in blood-oxygen-level-dependent (BOLD) signal in limbic regions such as the amygdala, the hippocampus, the insula, and the anterior cingulate cortex, as well as in cortical regions such as the left dorsolateral prefrontal cortex and temporal cortex (1013). We have found that insula-amygdala connectivity increases in healthy individuals as they habituate to negative pictures (14). However, in borderline patients, little is known about limbic and cortical network response to repeated exposure to negative stimuli.
Functional neuroimaging studies of borderline patients engaged in emotion processing tasks have identified increased amygdala activity when viewing faces (15, 16) and increased amygdala, fusiform (17, 18), primary visual, anterior cingulate, and superior temporal gyrus activity (18) when viewing negative compared with neutral emotional pictures, as well as increased amygdala activity when viewing repeated images (19). During cognitive reappraisal by distancing, in borderline patients the dorsal anterior cingulate cortex and intraparietal sulci are not activated and amygdala activity is not down-regulated to the extent that these occur in healthy subjects (7). Moreover, studies of functional connectivity in borderline patients during viewing of fear faces (20) and during pain processing (21) have shown anomalous connectivity patterns involving the insula, amygdala, and prefrontal regions. However, there have been no studies of the relationship between functional connectivity and habituation in borderline patients.
We hypothesized that borderline patients would not be able to use habituation as effectively as healthy subjects and that this would be reflected in decreased behavioral habituation and anomalous activity in emotion regulatory networks when they viewed repeated versus novel aversive pictures. Specifically, we predicted that in borderline patients the dorsal anterior cingulate, a region implicated in emotion regulation, would not be activated and insula-amygdala connectivity would not increase to the degree that these occur in healthy subjects when confronting repeated negative pictures. We further hypothesized that impairment in the implicit regulatory mechanism of habituation would contribute to affective instability in borderline patients, and thus we predicted that affective instability in borderline patients would correlate with a deficit in dorsal anterior cingulate activity and insula-amygdala connectivity during habituation.
To examine the possibility that any differences we identified between borderline and healthy subjects could be the result of a low threshold for affective response not specific to borderline personality disorder, we included patients with avoidant personality disorder as a psychopathological comparison group. Avoidant personality disorder, which occurs in 1%−2% of the population, is characterized by hypersensitivity to negative evaluation, excessive fear of rejection, and avoidance of social relationships (22). To our knowledge, no functional imaging studies of avoidant personality disorder have been reported in the literature. Studies of generalized social anxiety disorder, however, a disorder thought to be related to avoidant personality disorder, have identified decreased insula-dorsal anterior cingulate functional connectivity relative to healthy subjects during viewing of fearful faces (23). Hence, we predicted decreased insula-dorsal anterior cingulate connectivity in avoidant patients relative to healthy subjects during habituation.
To accomplish these objectives, we examined changes in subjective affect self-reports and in the functional neural architecture of habituation when negative pictures were viewed a second compared with a first time in borderline patients, avoidant patients, and healthy subjects.

Method

Participants

We recruited 23 borderline patients, 27 avoidant patients, and 28 healthy subjects from outpatient clinics at the Mount Sinai Medical Center and the James J. Peters VA Medical Center in New York City and from newspaper and online advertisements. All participants provided written informed consent after procedures were fully explained to them. Four borderline patients, four avoidant patients, and three healthy subjects were excluded because of excessive head motion or inadequate response rates during scanning (for details, see the data supplement that accompanies the online edition of this article). Participants in the borderline group met DSM-IV criteria for borderline personality disorder, including the affective instability criterion, and did not meet criteria for schizotypal or avoidant personality disorder. Participants in the avoidant group met DSM-IV criteria for avoidant personality disorder but not criteria for borderline or schizotypal personality disorder. Participants with potentially confounding axis I diagnoses and medical conditions, as described in detail in the online data supplement, were excluded. Participants had to be free of psychotropic medications for 2 weeks (6 weeks in the case of fluoxetine). Healthy participants did not meet DSM-IV criteria for any axis I or axis II disorder. Diagnostic assessments were obtained using the Structured Clinical Interview for DSM-IV–Patient Edition and the Structured Clinical Interview for DSM-IV Axis II Personality Disorders. Our group has achieved an interrater reliability of 0.81 for diagnosing borderline personality disorder. Participants were rated for affective instability by means of the Affective Lability Scale (24) and for depression using the Hamilton Depression Rating Scale (HAM-D). Affective Lability Scale scores were not available for one borderline patient.
The basic sample characteristics are presented in Table 1. The borderline and avoidant groups did not significantly differ in age from the healthy group. The avoidant group was slightly younger on average than the borderline group. The female-to-male ratio did not differ between groups. As expected, the borderline patients demonstrated greater affective instability as measured by the Affective Lability Scale than either comparison group. Depression as rated by the HAM-D was low for all groups, but as expected, the mean HAM-D score was highest for the borderline group, intermediate for the avoidant group, and lowest for the healthy group. Present and past axis I and axis II comorbidities are presented in the online data supplement.
TABLE 1. Demographic and Clinical Characteristics of Participants in a Study of the Functional Connectivity of Habituation
CharacteristicPatients With Borderline Personality Disorder (N=19)Healthy Subjects (N=25)Patients With Avoidant Personality Disorder (N=23)
 N%N%N%
Female115813521357
 MeanSDMeanSDMeanSD
Agea (years)31.99.928.16.926.34.8
Affective Lability Scale scoreb71.330.627.320.548.821.5
Hamilton Depression Rating Scale scoreb7.22.91.11.14.92.9
a
Significant difference between borderline and avoidant groups (p<0.05).
b
Significant difference between borderline and avoidant groups (p<0.05), borderline and healthy groups (p<0.001), and avoidant and healthy groups (p<0.001).

Event-Related Task Design

BOLD signals were acquired as participants viewed a series of 48 negative and 48 neutral pictures drawn from the International Affective Pictures System (25) and the Empathy Picture System (26). The picture set is described in detail in the online data supplement. Two-thirds of the pictures were presented twice. The picture-repeat pairs were distributed uniformly throughout the 27 minutes of the task to control for the potential confounders of practice, fatigue, or scanner drift. Pictures that were repeated and those shown only once were counterbalanced across participants. The task design is illustrated in Figure 1. Neutral pictures were interspersed among the negative pictures so that participants would not become inured to viewing negative pictures. Negative pictures showed scenes reflecting conflict, abuse, or loss, and neutral pictures showed people at work or in street scenes. Participants were instructed to allow themselves to fully experience the emotion evoked by the picture and to indicate their emotional response to the picture they had just viewed on a scale of 1 (most negative) to 5 (most positive).
FIGURE 1. Schematic Depiction of Picture Presentation Designa
a Each picture is presented for 4 seconds and is followed by a 3-second rating interval when the subject rates the picture on a scale from 1 (most negative) to 5 (most positive) using a response button box. This is followed by a 3-second interstimulus interval. Pictures are shown in five consecutive blocks of 16 negative and 16 neutral pictures. Two-thirds of the pictures are shown a second time. A repeated picture is always shown 5.3 minutes after the first showing of that picture, and pictures and their repeats are distributed uniformly throughout the 27 minutes of the task. Novel and repeated pictures are counterbalanced across participants.

Image Acquisition and Analysis

BOLD images were obtained with a Siemens 3-T Allegra scanner using a gradient echo echo-planar sequence (the parameters used are described in the online data supplement). Preprocessing and statistical analyses were carried out using SPM8 (www.fil.ion.ucl.ac.uk/spm/software/spm8), and general linear modeling for each participant was carried out with NeuroElf (neuroelf.net). Preprocessing parameters and general linear modeling are described in the data supplement. For the trial-by-trial affect analyses, parametric weights corresponding to each participant’s affect rating per trial were specified. Contrast images for all participants were entered into a second-level random-effects group analysis carried out using NeuroElf. The principal contrast of interest was RepeatedNeg – NovelNeg. Thresholds for whole-brain family-wise error multiple comparison correction were determined using AlphaSim (27). In a priori regions of interest that included the amygdala, family-wise error extent thresholds were small-volume corrected using a bilateral Brodmann atlas-based anatomical amygdala mask. Reported coordinates refer to Montreal Neurological Institute space.

Functional Connectivity Analyses

Psychophysiological interaction (28) analyses were carried out using a seed region in the left middle-posterior insula, chosen as an affect-related (29, 30) region of interest whose activity correlated with trial-by-trial affect ratings as determined in the parametric analyses. The seed region was determined independently of the task-related connectivity changes for RepeatedNeg versus NovelNeg conditions. To protect against bias by group, we defined this region to be the conjunction of the NovelNeg and RepeatedNeg parametric maps for all three groups. A general linear model was then computed that included regressors for the coupling between this seed region and other brain areas, as well as a psychophysiological interaction term reflecting the coupling of the seed region and other brain regions modulated by the psychological context of interest, in this case the change between RepeatedNeg and NovelNeg conditions. Six motion parameters were also included, and data were high-pass filtered using a Fourier transform (cutoff=130 seconds). After general linear model estimation, random-effects analyses were performed as above, with contrasts in this case representing areas showing a significant psychophysiological interaction effect. Results were then statistically thresholded as described above.

Results

Behavioral Results

Figure 2 displays each group’s ratings of emotional valence for novel and repeated negative pictures. A repeated-measures analysis of variance of self-reported affect ratings with novelty (novel versus repeated) as a repeated measure and group (borderline, avoidant, healthy) as the between-subject measure showed a main effect of novelty (F=7.38, df=2, 64, p=0.008) but no group-by-novelty interaction. Planned comparisons examining our prediction that only healthy subjects would behaviorally habituate showed that healthy subjects did habituate to the negative pictures, rating repeated pictures less negatively than novel pictures (t=2.71, df=24, p<0.01, one-tailed), and that borderline and avoidant patients did not. (Neutral picture behavioral findings are presented in the online data supplement.)
FIGURE 2. Behavioral Ratings of Picture Valence During the Scan in Patients With Avoidant and Borderline Personality Disorders and in Healthy Subjectsa
a Affect is rated on a scale from 1 (most negative) to 5 (most positive).
b Significant difference in emotional valence between novel and repeated negative pictures for the healthy group (p<0.01, one-tailed).

Imaging Results

BOLD activation in borderline and avoidant patients compared with healthy subjects during repeat exposure to negative pictures.

When viewing repeated versus novel negative pictures, the borderline group in comparison to the healthy group exhibited a relative decrease in activation in the dorsal anterior cingulate cortex (156-voxel cluster, p<0.05, k=150, family-wise error corrected; Figure 3A and B), and the left superior, left middle, and right transverse temporal gyri (see Figure S1 and Table S1 in the online data supplement). In each region, this was accounted for by a relative increase in activity in the healthy group. The avoidant group also showed decreased dorsal anterior cingulate activity relative to the healthy group (162-voxel cluster, p<0.05, k=150, family-wise error corrected; Figure 3C and D), as well as in the right transverse temporal gyrus, right thalamus, left parahippocampal gyrus, left inferior frontal gyrus, left precuneus, and right cerebellar culmen (see Figure S1 and Table S1). The borderline and avoidant groups did not differ from each other in activation when viewing repeated versus novel negative pictures at the whole-brain corrected threshold (p<0.05, family-wise error corrected). Repeated versus novel contrasts within the groups are provided in Figure S2 and Table S2 in the online data supplement. Collapsing across novelty, we found that the borderline group showed greater amygdala and insula activity in response to negative pictures than either the healthy group or the avoidant group (see Figure S3 in the data supplement).
FIGURE 3. Engagement of the Dorsal Anterior Cingulate in Patients With Avoidant and Borderline Personality Disorders and in Healthy Subjects When Viewing Repeated Versus Novel Negative Picturesa
a In panel A, the map shows a 156-voxel dorsal anterior cingulate cluster indicating a significant difference between the healthy and borderline groups for RepeatedNeg versus NovelNeg activity (p<0.05, k=150, family-wise error corrected). Panel B shows extracted beta weights for each group during viewing of novel and repeated negative pictures. In panel C, the map shows a 162-voxel dorsal anterior cingulate cluster indicating a significant difference between the healthy and avoidant groups for RepeatedNeg versus NovelNeg activity (p<0.05, k=150, family-wise error corrected). Panel D shows extracted beta weights for each group during viewing of novel and repeated negative pictures. In panel E, the map shows an unbiased 65-voxel dorsal anterior cingulate region of interest derived from the conjunction of voxels showing significant between-group differences for repeated versus novel negative picture viewing for the contrasts between the borderline and healthy groups and between the avoidant and healthy groups (p<0.05). Panel F shows the correlation of repeated versus novel activation differences in the independently defined dorsal anterior cingulate region of interest (shown in panel E) with affective instability for each group.
b Significant within-group difference, p<0.05, two-tailed.

Association between decreased engagement of the dorsal anterior cingulate during habituation and affective instability.

To determine whether the degree to which deficits in engaging the dorsal anterior cingulate during repeated versus novel viewing was associated with affective instability, we determined correlations between Affective Lability Scale scores and BOLD signal changes in the dorsal anterior cingulate for each group. An unbiased 65-voxel dorsal anterior cingulate region of interest (peak at −3, −3, 42; Figure 3E) was defined by the conjunction of the repeated-novel contrasts for the comparisons of the borderline and healthy groups and of the avoidant and healthy groups. For both healthy and borderline participants, affective instability and BOLD signal change in this region of interest were negatively correlated (r=−0.38, p<0.04 and r=−0.56, p<0.01, one-tailed, respectively) (Figure 3F). For the avoidant group, this association was not significant.

Association between neural activity and subjective affect reports.

To identify the seed region for subsequent functional connectivity analyses, we examined the neural representation of the subjective experience of negative affect by conducting parametric analyses, examining the relationship between regional activation and trial-by-trial affect ratings of the negative pictures. For each of the three groups and for both novel and repeated picture viewings, the degree to which pictures were rated as negative was correlated with middle-posterior insula activity, with greater activity predicting greater subjective reports of negative affect in all six maps, a finding we previously made in this data set using the healthy group alone (14). Conjunction analysis of the six maps yielded a 27-voxel left mid-posterior insula cluster (p<0.05, two-tailed, peak at −42, 0, 6; see the axial inset in Figure 4), which became our insula seed region for subsequent functional connectivity analyses.
FIGURE 4. Insula-Amygdala Functional Connectivity in Borderline Patients and Healthy Subjectsa
a Left and right amygdala regions showing significant group differences in functional connectivity to left insula seed region (healthy group > borderline group).
b Significant difference between groups, p<0.05, two-tailed.

Functional connectivity.

Montages showing significant changes in functional connectivity to the left insula seed region for repeated versus novel viewings within each group are provided in Figure S4 in the online data supplement. Significant change in functional connectivity between the left insula seed and the amygdala was observed only in the healthy group, where it was observed bilaterally. Group comparisons demonstrated that when viewing repeated versus novel pictures, the borderline group exhibited significantly less functional connectivity between the mid-posterior insula and the left and right amygdala relative to the healthy group (Figure 4; p<0.05, two-tailed, masked with a Brodmann atlas-based anatomical amygdala boundary). Figure 4 shows significant differences between the borderline and healthy groups in the change in insula-amygdala functional connectivity for presentation of repeated versus novel negative pictures in the left amygdala (19 voxels; peak at −18, −9, −18; p<0.05, two-tailed, family-wise error small-volume corrected) and the right amygdala (21 voxels; peak at 24, −6, −30; p<0.05, two-tailed, family-wise error small-volume corrected). The avoidant group did not show significant differences in insula-amygdala connectivity compared with either the healthy or the borderline group. Examination of the correlation between insula-amygdala connectivity change and behavioral habituation suggested a positive association in the borderline and healthy groups (such that greater increases in connectivity predict greater behavioral habituation) and a negative association in the avoidant group, although these results should be considered preliminary because of the relaxed extent thresholds applied for the borderline and healthy groups (see Figure S5 in the online data supplement). There was no significant correlation between insula-amygdala connectivity change and Affective Lability Scale score in any group.
Borderline patients also did not increase connectivity between the insula and the superior frontal gyrus (220 voxels, peak at 8, 45, 39; p=0.05, k=150, family-wise error corrected) to the degree that healthy participants did (see Figure S6 and Table S3 in the data supplement). Compared to the healthy group, the avoidant group showed less of an increase in connectivity between the insula and a broad region of the middle frontal gyrus (including the dorsolateral and medial prefrontal cortices) and posterior cingulate (Brodmann’s area 30) and more of an increase to the cerebellum (p=0.05, k=150, family-wise error corrected) (see Figure S6 and Table S3).
Directly examining whether the borderline group differed from the avoidant group, we found that the borderline group demonstrated significantly increased functional connectivity between the insula and the ventral anterior cingulate cortex and smaller increases to the cerebellum relative to the avoidant group (p=0.05, k=150, family-wise error corrected; see Figures S6 and S7 and Table S3).

Discussion

We sought to determine whether borderline patients, who are emotionally dysregulated, show anomalous neural activity during the implicit emotion regulatory process of habituation and whether patients with a different personality disorder characterized by high emotional reactivity to interpersonal situations—namely, avoidant personality disorder—could be distinguished from borderline patients when presented with the same task. Behaviorally, we found that whereas healthy subjects habituated to the negative pictures, the borderline and avoidant patients did not. We also found that during viewing of repeated pictures, borderline and avoidant patients showed no significant change in dorsal anterior cingulate activity, while in healthy subjects activity in this region increased. Notably, the capacity to increase activation in this region on repeated viewing was associated with less affective instability in both the borderline and healthy groups. Taken together, these findings support the hypothesis that anomalies in habituation are associated with affective instability in borderline patients.
Furthermore, when viewing repeated negative emotional pictures, neither borderline nor avoidant patients exhibited the increased insula-amygdala functional connectivity seen in healthy subjects. Since increasing insula-amygdala connectivity was associated with increasing behavioral habituation in the healthy and borderline groups, the failure of this connectivity to increase adequately could additionally contribute to impaired behavioral habituation and consequent faulty emotion regulation in borderline patients.
In examining the subjective experience of negative emotion, this study demonstrated that left mid-posterior insula activity correlated with ratings of negative affect in borderline, avoidant, and healthy participants during both novel and repeated negative picture viewing. This finding is consistent with the proposal that the insula broadly participates in self-awareness of feeling state and affective integration (31, 32), with a particular role for the mid and posterior insula in visceral awareness (30, 33, 34). In addition to these novel findings, we replicated the observation that borderline patients exhibit greater amygdala activation than healthy subjects when viewing negative social pictures (7, 1517), and we extended these observations to show that the increased amygdala activation in borderline patients was also greater than that seen in avoidant patients. In addition, we demonstrated greater insula activation to negative pictures in borderline patients compared with healthy subjects and avoidant patients.
A strength of this study is its inclusion of avoidant patients as a psychopathological comparison group to explore whether differences in functional patterns identified in borderline patients could be distinguished from those seen in other personality disorders. Although displaying a number of features in common with borderline patients, the avoidant and borderline groups differed in several respects. The borderline patients exhibited greater insula-ventral anterior cingulate functional connectivity with repeated viewing of negative pictures compared with the avoidant patients. The insula and anterior cingulate have been posited as key nodes in a network dedicated to assessing the salience of external and internal stimuli, allocating attentional and control resources and preparing for action (35). Thus, decreased connectivity to this region in avoidant patients suggests the possibility of a distinct mechanism accounting for the affective dysregulation in these patients. The borderline and avoidant groups also differed in the degree to which increasing activation of the dorsal anterior cingulate to repeated versus novel pictures predicted less affective instability.
In the avoidant patients, the thalamus, parahippocampal gyrus, ventrolateral prefrontal cortex, and dorsal anterior cingulate were not activated as strongly as in the healthy subjects during viewing of repeated versus novel negative pictures. In addition, insula connectivity to extensive cortical regions, including the rostral anterior cingulate, the medial and dorsolateral prefrontal cortex, and the posterior cingulate, did not increase to the extent that it did in the healthy subjects. Decreased insula connectivity to the rostral anterior cingulate when viewing threat pictures has been reported in generalized social anxiety disorder (23), suggesting the possibility of some functional similarities between these disorders.
Although the healthy group showed significant behavioral habituation and the borderline and avoidant groups did not, the magnitude of the habituation effect in the healthy group was not large, and in the absence of a group-by-novelty interaction, we cannot conclude that there are group differences in behavioral habituation. The small behavioral effect and consequent absence of the interaction effect may be a consequence of the fact that pictures were repeated only once, which is a limitation of our study. Nevertheless, rather robust group differences in activation and functional connectivity were observed. The finding of significant neural group differences alongside blunted behavioral differences is common to a number of neurophysiological studies comparing borderline patients to healthy subjects (8, 17, 18, 36, 37). New et al. have suggested (38) that this may be a consequence of borderline patients’ alexithymia and difficulty self-identifying emotion.
This study demonstrates that when presented with repeated negative pictures, borderline patients show anomalies in limbic-cortical functional connectivity and in engagement of cortical regulatory regions that are associated with affective instability. This suggests that impairment in the implicit emotion regulatory mechanism of habituation may contribute to the affective instability that characterizes borderline patients. The anomalous patterns of activity and connectivity in borderline patients are distinct from those in avoidant patients, indicating that the neural features of habituation in borderline patients are not simply characteristics of personality disorders in general. Understanding the processing deficits underlying anomalous habituation in borderline and avoidant personality disorders may help guide the development of novel psychotherapeutic or pharmacologic interventions to enhance adaptive habituation in these disorders.

Acknowledgments

Supported by NIMH grant R01 MH077813 to Dr. Koenigsberg; by the National Center for Research Resources, NIH, for the Mount Sinai General Clinical Research Center (5M01 RR00071); and by the James J. Peters VA Medical Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIMH, NIH, or the U.S. Department of Veterans Affairs.

Supplementary Material

Supplementary Material (82_ds001.pdf)

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Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 82 - 90
PubMed: 24275960

History

Received: 3 July 2013
Revision received: 5 August 2013
Accepted: 15 August 2013
Published online: 1 January 2014
Published in print: January 2014

Authors

Details

Harold W. Koenigsberg, M.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Bryan T. Denny, Ph.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Jin Fan, Ph.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Xun Liu, Ph.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Stephanie Guerreri
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Sarah Jo Mayson
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Liza Rimsky
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Antonia S. New, M.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Marianne Goodman, M.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.
Larry J. Siever, M.D.
From the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York; the James J. Peters VA Medical Center, Bronx, New York; the Department of Psychology, Queens College, City University of New York, New York; and the Institute of Psychology, Chinese Academy of Sciences, Beijing.

Notes

Address correspondence to Dr. Koenigsberg ([email protected]).

Funding Information

The authors report no financial relationships with commercial interests.
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