You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 62 No. 8, August 2005 TABLE OF CONTENTS
  Archives
  •  Online Features
  Original Article
 This Article
 •Abstract
 •PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on Web of Science (46)
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Topic Collections
 •Anxiety Disorders
 •Obsessive-Compulsive Disorder
 •Panic Disorder
 •Alert me on articles by topic
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati Add to Twitter What's this?

Disorder-Specific Neuroanatomical Correlates of Attentional Bias in Obsessive-compulsive Disorder, Panic Disorder, and Hypochondriasis

Odile A. van den Heuvel, MD, PhD; Dick J. Veltman, MD, PhD; Henk J. Groenewegen, MD, PhD; Menno P. Witter, PhD; Jille Merkelbach, MD; Danielle C. Cath, MD, PhD; Anton J. L. M. van Balkom, MD, PhD; Patricia van Oppen, PhD; Richard van Dyck, MD, PhD

Arch Gen Psychiatry. 2005;62:922-933.

ABSTRACT

Context  Attentional bias to disease-relevant emotional cues is considered to be pathogenetically relevant in anxiety disorders.

Objective  To investigate functional neural correlates and disease specificity of attentional bias across different anxiety disorders.

Design  A cognitive and emotional Stroop task, consisting of congruent and incongruent color words, obsessive-compulsive disorder (OCD)–related and panic-related negative words, and neutral words, was used in 3 patient groups and a control group during functional magnetic resonance imaging.

Setting  Academic outpatient department for anxiety disorders.

Patients and Participants  Medication-free patients with OCD (n = 16), panic disorder (PD) (n = 15), and hypochondriasis (n = 13) and 19 controls.

Main Outcome Measure  Voxel-wise analyses of cerebral blood flow changes for contrasts of interest (incongruent vs congruent color words, OCD-related vs neutral words, and panic-related vs neutral words) within and between groups.

Results  During incongruent vs congruent color naming, all patient groups recruited additional posterior brain regions relative to controls, but performance was impaired only in OCD. In OCD, color naming OCD-related, but not PD-related, words correlated with increased activation of frontal-striatal and temporal regions, although performance was unimpaired. In contrast, in PD, increased frontal-striatal involvement was found during color naming both OCD-related and panic-related words. In PD, color naming panic-related words was slowed and correlated with increased activation of the right amygdala and hippocampus. Patients with hypochondriasis showed a similar activation pattern to patients with PD.

Conclusions  Our results support the hypothesis of increased distractibility for irrelevant information in patients with OCD, PD, and hypochondriasis associated with frontal-striatal and limbic involvement compared with controls. Although patients with OCD did not display an attentional bias in behavior relative to controls, there was a clear, specific neural response during color naming OCD-related words, involving mainly ventral brain regions. In contrast, generalized emotional interference effects were found in PD and hypochondriasis, involving ventral and widespread dorsal brain regions, reflecting not only unconscious emotional stimulus processing but also increased cognitive elaboration.



INTRODUCTION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Difficulty inhibiting irrelevant information, for instance obsessive thoughts and impulses, is a key feature of obsessive-compulsive disorder (OCD).1-2 Because most of their attentional resources are allocated to threat cues related to their concerns, patients with OCD are limited in their ability to selectively attend to relevant information while simultaneously ignoring irrelevant competing information.1 Similar cognitive dysfunctions have been described for panic disorder (PD).3 Attentional bias in anxiety disorders is presumably not simply a by-product of emotional state but may play a major role in symptom causation and maintenance.4-6 The critical process of gating (ie, inhibiting irrelevant information) has been linked to frontal-striatal function.7-8 Impaired frontal-striatal function is considered to be of etiological importance in the affective, behavioral, and cognitive characteristics of OCD.9 In contrast, the brainstem and limbic regions, such as the amygdala and (para)hippocampal region, are mainly implicated in the symptoms of PD.10-13

Cognitive interference occurs when processing one stimulus impedes simultaneous processing of another stimulus, as in the Stroop color-word task.14 This task requires the ability to actively inhibit a fast automatic response (word reading) in favor of a slower voluntary response (color naming), resulting in increased response latencies and error rates during the interference condition (eg, "red" printed in blue ink) compared with the facilitation (or baseline) condition (eg, "red" printed in red [or black] ink).

Frontal involvement in interference processes was first demonstrated in lesion studies, showing impaired Stroop performance in patients with lesions in the left15 and right16 lateral prefrontal cortex. More extensive investigation of the neural correlates of interference in healthy subjects was undertaken with the advent of positron emission tomography,17-21 functional magnetic resonance imaging (fMRI),22-31 and magnetoencephalography.32 In many,17-20,22, 24-25,27-28,30-31 but not all,18, 21, 26, 29, 32 studies, interference was associated with increased activation of the anterior cingulate cortex (ACC). Prefrontal involvement in interference was reported in dorsolateral (DLPFC),19, 22-23,26-29,31-32 anterior (aPFC),18, 20, 29, 32 and ventrolateral (VLPFC)21, 25-26,28-29 prefrontal cortex subregions. Recent imaging studies have shown that ACC is primarily involved in response-related processes, such as performance monitoring, response conflict, and error detection.24, 27-28,31, 33-34 In contrast, various prefrontal regions seem to be primarily responsible for the implementation of top-down attentional control (ie, higher order regulation of hierarchically lower attentional processes) per se, although the relative contribution of specific prefrontal subregions is insufficiently clear.24, 27-28,31 Other regions associated with interference were (pre)motor,17, 22, 25, 32 temporal,17, 22-23,25, 29, 31 parietal,18-20,22-23,28-29,32 extrastriate17, 19-21,23, 26, 31 and insular19-20,25 cortices, thalamus,19-20,23 and striatum.17, 19, 23, 25

In patients with OCD, neuropsychological studies using the Stroop color-word task have provided mixed evidence for impaired selective attention compared with control subjects.1, 35-40 Some studies showed that patients with OCD performed slower than control subjects1, 35 and made significantly more errors and had slower reaction times during the interference condition of the Stroop task.1, 37 This interference effect in patients with OCD was augmented when situational anxiety was high.1 Moreover, decreased Stroop performance in patients with OCD was found to be correlated with decreased resting state regional cerebral metabolism rates in lateral prefrontal cortex,35 in agreement with the notion of prefrontal involvement in the development of OCD.

A potentially more powerful and specific way to investigate selective attention and response inhibition in anxiety disorders is based on an emotional analog of the Stroop task.5 When patients with anxiety are presented with colored words relevant to their concerns, automatic semantic processing will delay voluntary color naming. This interference effect, however, is not restricted to patients; control subjects, after priming to an anxious state, also show interference during color naming of threat words.41-42 Whalen et al,43 using a counting version of the emotional Stroop task during fMRI in healthy subjects, reported significant activation in the affective (rostral) subdivision of the ACC during emotional interference in the absence of a behavioral interference effect. In contrast, the traditional Stroop task was correlated with increased activation of the dorsal ACC (cognitive subdivision of the cingulate cortex).22 The authors suggested that rostral ACC activation reflected a regulatory response during successful suppression of task-irrelevant emotional information.

Neuropsychological studies using the emotional Stroop task in various anxiety disorders, such as generalized anxiety disorder,44-46 PD,47-53 OCD,53-56 posttraumatic stress disorder (PTSD),57-59 social phobia,46, 60-64 and spider phobia,65-66 all (but 153) showed robust interference effects in patients during color naming threat-related words. It is not yet clear, however, whether this effect is specific to disease-related threat words or extends to general threat domains (or even positive emotional material), although some anxiety disorders seem to be more specific in their attentional bias than others. Whereas patients with OCD54-56,67 and social phobia46, 63-64 showed a predominantly disease-specific attentional bias, threat word interference in generalized anxiety disorder46 and PD49 was found to be more generalized.51-52 A second issue of consideration in emotional interference is the explicit vs implicit nature of the attentional bias. Most studies using subliminal stimulus presentation support the assumption that interference is not dependent on conscious strategies.5, 52, 68-69

To summarize, evidence from imaging data in healthy subjects as well as from neuropsychological studies in subjects with an anxiety disorder appear to be in agreement with the hypothesis of frontal involvement in emotional Stroop interference. However, direct evidence for the underlying neuronal substrate in anxiety disorders is lacking, with a single exception.70 Shin et al70 found activation of the rostral ACC in Vietnam veterans without PTSD during trauma-related emotional interference, similar to the results of Whalen et al43 in healthy volunteers, but not in veterans with PTSD. Shin et al suggested that the absence of rostral ACC activation in patients with PTSD reflected the inability of this region to inhibit amygdalar hyperresponsivity, although no amygdala activation was found during threat-related emotional processing in their patients with PTSD. They did not include additional experimental groups, so the specificity of their findings remains to be confirmed.

The aim of the present study was to investigate the neural substrate of both cognitive and emotional Stroop interference across anxiety disorders by addressing the following questions. First, is increased cognitive interference, as found in OCD, syndrome specific? Second, do patients with an anxiety disorder show an attentional bias only for stimuli relevant to their concerns? Third, is the neuronal substrate of emotional interference different across anxiety disorders? To answer these questions, fMRI data of patients with OCD, PD, and hypochondriasis were compared with data of healthy control subjects during performance of a Stroop task containing color-congruent color words, color-incongruent color words, OCD-related negative words, panic-related negative words, and neutral words. Although emotional Stroop interference at a behavioral level can be demonstrated using either supraliminal or subliminal stimuli, we chose to present overt (supraliminal) stimuli based on observations that covert stimuli are not very effective in eliciting regional cerebral blood flow changes in the amygdalar region,71-72 unless in an aversive conditioning paradigm.73 In agreement with the results of previous studies, we hypothesized that patients with OCD would show increased interference effects for incongruent vs congruent color words. In addition, we expected significant interference effects in OCD for disease-specific threat words only compared with generalized interference effects (ie, for PD-related and OCD-related words) in PD. To investigate whether any increased responsiveness to PD-related and OCD-related words was specific to OCD and/or PD, we included a third experimental group of patients with hypochondriasis. In hypochondriasis, obsessions or compulsions are by definition restricted to illness concerns. However, compared with PD, in patients with hypochondriasis these worries typically do not spiral into panic.74 We expected to find frontal-striatal as well as limbic (including amygdala) regions correlated with emotional interference in all patient groups compared with healthy controls.


METHODS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

SUBJECTS

Eighteen patients with OCD (6 men and 12 women; mean ± SE age, 33.4 ± 2.4 years), 15 patients with PD (8 men and 7 women; mean ± SE age, 33.7 ± 2.5 years), 14 patients with hypochondriasis (12 men and 2 women; mean ± SE age, 40.6 ± 3.2 years), and 19 healthy control subjects (10 men and 9 women; mean ± SE age, 30.3 ± 1.9 years) performed the Stroop task while fMRI data were collected. Mean age (P = .04) and male-female ratio (P = .04) were both higher in the hypochondriasis group compared with other groups. All subjects were right-handed. Patients were recruited from the outpatient clinic for anxiety disorders of GGZ Buitenamstel/VU University Medical Center, Amsterdam, the Netherlands, and the Netherlands Anxiety, OCD, and Phobia Foundation, Driebergen. The medical ethical review board of the VU University Medical Center approved the study, and all participants provided written informed consent.

Exclusion criteria were the presence of major internal and/or neurological illness, other psychiatric disorders, and the use of psychotropic medication. Subjects had to have stopped taking medication for at least 4 weeks. One patient with OCD had comorbid hypochondriasis, 1 patient with hypochondriasis had comorbid PD, and 1 patient with OCD was found to have a vascular malformation near the ACC. These 3 patients were excluded from further analysis.

Diagnoses were established using the Structured Clinical Interview for DSM-IV Axis I Disorders.75 To assess symptom characteristics and severity scores, the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS),76 the Padua Inventory-revised,77-78 the Y-BOCS for Hypochondriasis,76 and the Whitley Index79 were used. In addition, the Body Sensations Questionnaire80 was administered to patients with PD.

TASK PARADIGM

The Stroop paradigm used in the present study consisted of 6 conditions: congruent color words (eg, "red" printed in red), incongruent color words (eg, "red" printed in blue), OCD-related negative words (eg, dirty, mess, uncertain), panic-related negative words (eg, heart attack, crowd, faint), and 2 baseline conditions with neutral words (eg, percent, month, oval). The OCD-related words were selected based on studies of Lavy et al55, 66; panic-related words were derived from earlier research of attentional bias in PD.48

Stimuli were presented in a block design, consisting of 18 randomized blocks (3 blocks of each condition), each containing 16 words. Each word was presented during 2 seconds, followed by a 200-millisecond blank screen. Subjects were asked to respond as fast as possible by pressing the button corresponding to the color of the ink (yellow, green, red, blue), regardless of the meaning of the word. After performing the task, subjects were asked to rate subjective distress using a 100-point analog scale.

fMRI DATA ACQUISITION

Imaging was performed on a 1.5-T Sonata magnetic resonance system (Siemens, Erlangen, Germany) with a standard circularly polarized head coil. Stimuli were projected on a screen at the end of the scanner table, which was seen through a mirror mounted above the subject’s head. Two magnet-compatible 4-key response boxes were used to record the subject’s performance and response times (RTs). To reduce motion artifacts, the subject’s head was immobilized using foam pads.

For fMRI, an axial echo planar sequence (repetition time = 1.99 seconds, echo time = 45 milliseconds, matrix = 64 x 64, field of view = 192 x 192 mm, flip angle = 90°) was used (28 sections, 3 x 3-mm in-plane resolution, 3.6-mm between-plane resolution), which was selected based on its sensitivity to signal changes in the (orbital) prefrontal cortex. In total, 296 echoplanar imaging volumes per subject were scanned, 48 echoplanar imaging volumes in each condition. In addition, a coronal T1-weighted magnetic resonance image was acquired (matrix = 256 x 160, voxel size = 1 x 1 x 1.5 mm, 160 sections).

IMAGING DATA ANALYSIS

Imaging data were analyzed using SPM99 (Wellcome Department of Cognitive Neurology, London, England). After discarding the first 6 volumes, time series were corrected for differences in section acquisition times and realigned. Spatial normalization into approximate Talairach and Tournoux space was performed using a standard SPM echoplanar imaging template. Data were resectioned to 2 x 2 x 2-mm voxels and spatially smoothed using a 6-mm gaussian kernel. Subsequently, data were bandpass filtered and analyzed in the context of the general linear model, using boxcar regressors convolved with the canonical hemodynamic response to model responses during each condition.

For each subject, weighted contrasts were computed for cognitive color-word interference (incongruent vs congruent color words), for OCD-related emotional interference (OCD-related negative words vs neutral words), and for panic-related emotional interference (panic-related negative words vs neutral words). These contrast images containing parameter estimates for main effects were entered into a second-level (random effects) analysis, using 1-way analyses of variance (ANOVAs) for each contrast. Main effects and group x task interaction effects are reported at a P<.05 significance level corrected for multiple comparisons using the False Discovery Rate method.81


RESULTS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

CLINICAL CHARACTERISTICS

Patients with OCD had significantly higher scores on the Y-BOCS (mean ± SE, 23.4 ± 1.7) and Padua Inventory–revised (mean ± SE, 63.2 ± 5.6) than subjects from the other groups (ANOVA, F3,53 = 144; P<.001 and F3,52 = 22; P<.001, respectively). Patients with hypochondriasis scored significantly higher on the Y-BOCS for Hypochondriasis (mean ± SE, 25.9 ± 3.6) and the Whitley Index (mean ± SE, 24.4 ± 2.4) than subjects from the other groups (ANOVA, F3,55 = 60; P<.001 and F3,55 = 34; P<.001, respectively). Mean ± SE Body Sensations Questionnaire scores in patients with PD were 38.1 ± 3.3, in agreement with previous findings.82

TASK PERFORMANCE

Behavioral data for 1 patient with hypochondriasis were lost because of technical problems. Mean RTs and performance rates for each group are listed in Table 1 and Table 2. Across groups, RTs showed a significant increase for incongruent vs congruent color words (ANOVA, F1,61 = 129.8; P<.001) and panic words vs neutral words (ANOVA, F1,61 = 34.7; P<.001) but not for OCD words vs neutral words (ANOVA, F1,61 = 0.7; P = .40). Between-group comparisons revealed that the increase for panic words vs neutral words was greater in patients with PD and hypochondriasis compared with both patients with OCD (ANOVA, F1,30 = 6.5; P = .02 and F1,27 = 4.8; P = .04, respectively) and controls (ANOVA, F1,33 = 9.1; P = .007 and F1,30 = 10.4; P = .003, respectively). The RTs for color naming neutral words were also longer in patients with PD (ANOVA, F1,33 = 6.9; P = .02) and hypochondriasis (ANOVA, F1,30 = 6.7; P = .02) compared with controls. The increase in RTs for incongruent vs congruent color words in subjects with OCD was greater than in patients with PD (ANOVA, F1,30 = 4.2; P = .049) and marginally greater than in control subjects (ANOVA, F1,34 = 3.4; P = .08). Correlation analyses showed significant associations between subjective distress scores and increased RTs for color naming panic-related words in patients with PD (Pearson r = 0.56; P = .047) and for color naming OCD words in patients with OCD (r = 0.63; P = .01).


View this table:
[in this window]
[in a new window]
Table 1. Response Times Averaged Within Each Condition for Each Subject*



View this table:
[in this window]
[in a new window]
Table 2. Performance Scores Expressed as Percentage of the Total Number of Responses Within Each Condition for Each Patient*


Analysis of performance scores across all groups (Table 2) showed a significant increase in error rates during incongruent vs congruent color naming (ANOVA, F1,61 = 5.6; P = .02) but not during color naming panic words vs neutral words (ANOVA, F1,61 = 0.3; P = .57). The increase in error rates was greater in subjects with OCD compared with controls (ANOVA, F1,34 = 4.1; P = .05), whereas compared with controls, performance was unimpaired in patients with PD and hypochondriasis. Paradoxically, error rates decreased across groups during color naming OCD words vs neutral words (ANOVA, F1,61 = 36.1; P<.001). Paired comparisons showed that this decrease was greater in patients with hypochondriasis (ANOVA, F1,30 = 5.8; P = .02) and marginally greater in patients with PD (ANOVA, F1,33 = 2.9; P = .10) compared with controls. Correlation analyses showed a significant negative association between subjective distress scores and performance during color naming panic words in the hypochondriasis group (r = –0.72; P = .008).

IMAGING DATA

Incongruent vs Congruent Color Words

Across all groups, regions showing increased blood oxygenation level dependent (BOLD) signal during color naming incongruent vs congruent color words (Figure 1) were present in right aPFC; bilateral DLPFC; VLPFC; dorsal ACC; motor, premotor, supplementary motor, insular, inferior parietal, superior and middle temporal, temporal-occipital and peristriate cortices; striatum; thalamus; hypothalamus; rostral brainstem and cerebellar cortex; and in left fusiform gyrus. Group x task interaction effects are shown in Table 3. Compared with control subjects, increased activation was found in patients with OCD in right precuneus, left parahippocampal gyrus, and left brainstem; in patients with PD in right fusiform gyrus; and in patients with hypochondriasis in bilateral inferior parietal cortex and precuneus, left insular cortex, and left rostral brainstem. No regions of significantly increased activation were found in control subjects compared with patients.



View larger version (115K):
[in this window]
[in a new window]
Figure 1. "Glass brain" renderings showing main effects for the contrasts of interest (incongruent vs congruent color words, obsessive-compulsive disorder [OCD]–related vs neutral words, and panic-related vs neutral words). PD indicates panic disorder.



View this table:
[in this window]
[in a new window]
Table 3. Brain Regions Showing Significant BOLD Signal Increase Correlating With Cognitive Interference, Group x Task Interactions*


OCD-Related vs Neutral Words

Color naming OCD-related words compared with neutral words, across all groups (Figure 1), was correlated with increased BOLD signal in bilateral VLPFC, left orbitofrontal cortex (OFC), right middle temporal cortex, bilateral superior temporal cortex, right parietal-occipital cortex, and right precuneus. Group x task interactions are presented in Table 4. Compared with control subjects, all patients showed widespread increased involvement of frontal-striatal regions. Whereas patients with OCD, compared with control subjects, showed significantly increased activation of bilateral amygdala and left hypothalamus during color naming OCD-related words, patients with PD and hypochondriasis did not (Figure 2). In patients with OCD, increased activation of the right amygdala was found compared with patients with PD, and of right VLPFC and temporal and supplementary motor cortex compared with patients with hypochondriasis.


View this table:
[in this window]
[in a new window]
Table 4. Brain Regions Showing Significant BOLD Signal Increase Correlating With OCD-Related Emotional Interference, Group x Task Interactions*




View larger version (50K):
[in this window]
[in a new window]
Figure 2. Increased blood oxygenation level dependent signal in left (L) and right (R) amygdala during obsessive-compulsive disorder (OCD)–related emotional interference in patients with OCD compared with control subjects (Co) and plot of size of effect in this region in group x task interaction. HC indicates hypochondriasis; PD, panic disorder.


Panic-Related vs Neutral Words

Across all groups, color naming panic-related words compared with neutral words (Figure 1) was correlated with increased BOLD signal in bilateral frontal-striatal regions, temporal-parietal cortices, fusiform gyrus and thalamus, right hippocampus, right amygdala, and left rostral brainstem. Group x task interactions are presented in Table 5. Compared with control subjects, patients with PD showed increased activation bilaterally in the aPFC, ACC, and inferior parietal cortex and right-sided in the DLPFC, VLPFC, OFC, thalamus, middle temporal cortex, amygdala (Figure 3A), and hippocampus (Figure 3B). Similar regions were identified when comparing PD with OCD; in addition, subjects with OCD vs control subjects did not yield significant interaction effects. In contrast, patients with hypochondriasis showed a similar activation pattern to patients with PD, although no activation was found in the amygdala and ACC.


View this table:
[in this window]
[in a new window]
Table 5. Brain Regions Showing Significant BOLD Signal Increase Correlating With Panic-Related Emotional Interference, Group x Task Interactions*




View larger version (70K):
[in this window]
[in a new window]
Figure 3. Increased blood oxygenation level dependent signal during panic-related emotional interference in patients with panic disorder (PD) compared with control subjects (Co) in right (R) amygdala (A) and R hippocampus (B) and plot of size of effect in these regions in group x task interaction. HC indicates hypochondriasis; OCD, obsessive-compulsive disorder.


EFFECT OF DISEASE SEVERITY

No specific brain regions were found when correlations were investigated between OCD interference–related BOLD responses and symptom severity in OCD as measured by the Y-BOCS and Padua Inventory–revised. Similarly, no correlation was found between panic interference–related activation patterns in patients with PD and Body Sensations Questionnaire scores. State anxiety was correlated with increased activation of right VLPFC (z = 4.67) and left extrastriate cortex (z = 4.78) in subjects with OCD during presentation of OCD-related vs neutral words. No such state anxiety effects were found in patients with PD or hypochondriasis.


COMMENT
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

In the present study, a cognitive and emotional Stroop task was used to investigate the neuroanatomical correlates of attentional bias across different anxiety disorders. The present results support the hypothesis of increased distractibility for irrelevant information in patients with OCD, PD, and hypochondriasis compared with healthy control subjects, associated with frontal-striatal and limbic involvement. Moreover, we found clear differences between patients with OCD on the one hand and patients with PD and hypochondriasis on the other. In particular, patients with OCD displayed increased cognitive interference compared with healthy control subjects, which was accompanied by activation of posterior brain regions. Although patients with OCD did not display an attentional bias in behavior during color naming OCD-related words relative to control subjects, there was a clear and specific neural response in mainly ventral and limbic brain regions. In contrast, patients with PD and hypochondriasis displayed no interference for incongruent vs congruent words but showed an attentional bias for both panic-related and OCD-related information, involving both ventral and dorsal brain regions.

In agreement with previous studies using the traditional Stroop color-word task, the present results showed the recruitment of prefrontal-striatal regions during cognitive interference. Prefrontal involvement implies the activation of various hierarchic subregions known to subserve different executive subprocesses necessary to perform the task.83 While activation of VLPFC may reflect lexical processing (word generation)84 and working memory (maintenance of information),85 activation of DLPFC and aPFC is associated with manipulation processes and complex executive control, respectively.85 In addition to these prefrontal top-down control processes, ACC is presumably involved in performance monitoring, response conflict, and error detection.24, 27-28,31, 33-34 Patients with PD and hypochondriasis performed similarly during incongruent vs congruent color naming compared with control subjects, but performance in patients with OCD was impaired. This finding is in agreement with Hartston and Swerdlow,37 who reported increased color-word interference in patients with OCD compared with control subjects, but not with Moritz et al.38 Increased regional brain activity associated with cognitive interference in patients compared with controls was observed in posterior regions only. This may reflect increased effort (ie, enhanced visual processing [fusiform and parahippocampal gyrus], heightened arousal [insular cortex and brainstem], and attention [precuneus and parietal cortex]). Compensation by recruitment of posterior regions has been found in patients with OCD before.86 Moreover, altered frontal-striatal functioning in OCD is not restricted to attentional bias but has recently also been demonstrated during executive tasks.87

Interestingly, our behavioral data showed improved performance for color naming OCD-related words compared with neutral words. This effect was found in all groups but particularly in patients with PD and hypochondriasis. It is inconsistent with the results of most, but not all,53 previous studies reporting increased RTs and error rates due to emotional interference.5 Possibly, the use of supraliminal stimuli in a block design may have enabled subjects to devise strategies to facilitate task performance. Alternatively, patients with an anxiety disorder may engage in more extensive processing of threat stimuli compared with healthy controls.88

Across all groups, color naming OCD-related vs neutral words was correlated with activation of VLPFC, OFC, and posterior (temporal and parieto-occipital) regions. As expected, all 3 patient groups showed increased involvement of these regions. Although this increased prefrontal-striatal recruitment during OCD-related emotional interference was not restricted to patients with OCD but also present in patients with PD and hypochondriasis, important differences were also found between the patient groups. First, in patients with OCD, VLPFC was activated whereas patients with PD and hypochondriasis mainly showed DLPFC, aPFC, and medial prefrontal activation. Second, in patients with OCD, bilateral amygdala activation was found during color naming OCD-related words while no amygdala involvement was found in the other patient groups, as shown in Figure 2. The role of the amygdala in the evaluation of the behavioral significance of external stimuli and affective responses89-90 has been addressed in a number of studies using fear paradigms in healthy controls.73, 91-95 Most previous imaging studies in OCD have observed amygdala involvement only in small samples and/or at lower statistical thresholds96-97 or not at all,98-101 which may have been owing to various methodological issues.102 Strong reciprocal connections exist between the amygdala and widespread regions of frontal, insular, temporal, and occipital cortices.103 Although at present our understanding of the neuronal circuits underlying human emotion perception is limited, 2 interacting systems have been hypothesized to subserve the different subprocesses of emotional appraisal and behavior.90 First, a ventral system, including the amygdala, insula, ventral striatum, and ventral prefrontal regions (rostral ACC, VLPFC, OFC), is mainly important for the identification of the emotional significance of a stimulus and the generation of an autonomic, unconscious emotional response. Second, a dorsal system, consisting of the parahippocampal gyrus and dorsal regions of the frontal cortex (dorsal ACC, aPFC, DLPFC, and medial PFC), is engaged in additional regulation of the initial emotional response by combining cognitive and emotional input. The present results in patients with OCD are likely to reflect automatic processing of disease-specific emotional cues by the ventral system. Additional cognitive regulation seems to be reflected in the role of dorsal ACC. Involvement of dorsal ACC is consistent with the results of Shin et al.70 They found dorsal ACC activation during emotional interference in their Vietnam veterans with PTSD while rostral ACC activity was found in the non-PTSD group. Although patients with OCD were capable of normal task performance, our behavioral data also showed that RTs as well as disease-specific neuronal responses in subjects with OCD were correlated with subjective distress ratings. This suggests that cognitive function in OCD is vulnerable to high levels of state anxiety.

In contrast to OCD-related words, color naming of panic-related words was not associated with differences in error rate, either across groups or between groups. However, RTs were significantly longer in patients with PD and hypochondriasis compared with patients with OCD and healthy controls. Our imaging data parallel these behavioral results. Compared with control subjects and patients with OCD, patients with PD showed increased activation of prefrontal areas (mainly right sided), right rostral ACC, amygdala, hippocampus, rostral brainstem, and thalamus. When comparing patients with hypochondriasis with patients with OCD and controls, a similar pattern was observed but without the involvement of the amygdala and rostral brainstem as was found in PD. However, contrasting subjects with PD and hypochondriasis did not yield significant interaction effects. Structural104-105 as well as functional (resting state106-107 and challenge108) neuroimaging studies in PD have repeatedly demonstrated the role of the amygdala and hippocampal region in the symptoms of PD. In addition, pharmacological challenge studies in PD have indicated a brainstem origin of panic attacks.10 So far, only 2 fMRI studies were performed in PD. In these studies, patients with PD showed increased activation of prefrontal, anterior cingulate, and (para)hippocampal cortices in response to threat-related words88 or imagery exposure.109

The widespread dorsal prefrontal involvement in PD and, to a lesser extent, hypochondriasis again suggests (cognitive) modulation of emotional responses. However, in contrast to subjects with OCD during color naming OCD-related words, this seems to intervene with task demands. Whether this is due to stimulus characteristics (eg, greater salience of panic words relative to OCD words) or reflects differences in the processing of emotional material between OCD and PD and/or hypochondriasis is not yet clear. A post hoc comparison between neuronal activation patterns during color naming disease-specific words in OCD and PD showed increased recruitment of the dorsal system in patients with PD compared with patients with OCD (data not shown). This might reflect increased cognitive modulation elicited by the initial emotional response in PD and intervening with performance.

Concerning the issue of disease specificity, our data indicate a clear distinction between OCD on the one hand and PD and hypochondriasis on the other hand but not between PD and hypochondriasis. First, during incongruent vs congruent color naming, all patient groups recruited additional posterior brain areas relative to controls, but only in OCD was performance significantly impaired. Second, in OCD we observed increased recruitment of the ACC and limbic regions only during color naming of OCD-related vs neutral words whereas in patients with PD and hypochondriasis, widespread activity in prefrontal, striatal, and temporal regions was found during color naming of both OCD-related and panic-related words. This is consistent with the hypothesis of a more generalized attentional bias to threat cues in PD. However, both in OCD and PD, amygdala activation was found to be disease specific. Moreover, in OCD, state anxiety was correlated with longer RTs only during the disease-specific interference condition. Based on similarities between hypochondriasis and OCD, inclusion of hypochondriasis in the spectrum of obsessive-compulsive disorders has been suggested.110-111 However, other distinctive features provide support for the association between hypochondriasis and PD.74 While hypochondriasis and PD co-occur and overlap phenomenologically,112 this overlap is by no means complete.113 The results from the present study apparently support the association between PD and hypochondriasis. We did, however, not include an extra category of disease-specific words for hypochondriasis, unrelated to panic and OCD.

To our knowledge, this study is the first to elucidate the neuronal correlates of color-word interference and attentional bias in 3 distinct, but related, disorders (ie, OCD, PD, and hypochondriasis). Strengths of the study are the inclusion of medication-free subjects, a large sample size permitting random effects analysis, and the comparison across different patient groups. A limitation of the present study is that the patients with hypochondriasis were significantly older than the other participants, although a post hoc analysis of covariance with age as a nuisance variable showed that the interaction effects, described in the present article, persisted after regressing out age. Second, we did not specifically investigate diagnostic subgroups (eg, patients with OCD with prominent washing or checking symptoms, or patients with PD with agoraphobia or lactate sensitivity). A third issue that needs to be further investigated is the possible role of strategic differences in task performance by comparing overt (supraliminal presented) vs covert (subliminal presented) stimuli. For example, decreased involvement of dorsal brain regions in OCD compared with PD, as observed in the present study, may reflect predominantly unconscious emotional stimulus processing in OCD.90 Alternatively, it can be argued that condition effects in OCD may have been obscured by ongoing top-down control processes regardless of stimulus type, reflecting the difference between tonic and phasic symptoms in OCD and PD. Finally, future research is warranted to explore whether the behavioral and neuropsychological abnormalities observed in the present study are trait or state dependent (for example, whether these resolve after successful treatment).


AUTHOR INFORMATION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Correspondence: Odile A. van den Heuvel, MD, PhD, GGZ Buitenamstel, Valeriusplein 9, 1075 BG, Amsterdam, the Netherlands (oa.vandenheuvel{at}vumc.nl).

Submitted for Publication: September 2, 2004; final revision received December 29, 2004; accepted January 13, 2005.

Funding/Support: This study was supported by grant MW 940-37-018 from the Dutch Organization for Scientific Research (NOW) and the Hersenstichting Nederland(project 10F02.24), Den Haag, the Netherlands.

Acknowledgment: We thank Noor Tromp, MSc, for helping with patient selection, Julie van Hartskamp, MD, for helping with patient inclusion and data collection, and Marjan Nielen, PhD, for helpful comments on the manuscript.

Author Affiliations: Departments of Psychiatry (Drs van den Heuvel, Veltman, Cath, van Balkom, van Oppen, and van Dyck) and Anatomy (Drs Groenewegen and Witter), VU University Medical Center, Amsterdam, the Netherlands; Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands (Dr Merkelbach); Outpatient Department for Anxiety Disorders, GGZ Buitenamstel, Amsterdam (Drs Cath, van Balkom, van Oppen, and van Dyck).


REFERENCES
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

1. Cohen Y, Lachenmeyer JR, Springer C. Anxiety and selective attention in obsessive-compulsive disorder. Behav Res Ther. 2003;41:1311-1323. FULL TEXT | ISI | PUBMED
2. Bannon S, Gonsalvez CJ, Croft RJ, Boyce PM. Response inhibition deficits in obsessive-compulsive disorder. Psychiatry Res. 2002;110:165-174. FULL TEXT | ISI | PUBMED
3. Coles ME, Heimberg RG. Memory biases in the anxiety disorders: current status. Clin Psychol Rev. 2002;22:587-627. FULL TEXT | ISI | PUBMED
4. Clark DM. A cognitive approach to panic. Behav Res Ther. 1986;24:461-470. FULL TEXT | ISI | PUBMED
5. Williams JMG, Mathews A, MacLeod C. The emotional Stroop task and psychopathology. Psychol Bull. 1996;120:3-24. FULL TEXT | ISI | PUBMED
6. Beck AT, Clark DA. An information processing model of anxiety: automatic and strategic processes. Behav Res Ther. 1997;35:49-58. FULL TEXT | ISI | PUBMED
7. Jentsch JD, Taylor JR. Impaired inhibition of conditioned responses produced by subchronic administration of phencyclidine to rats. Neuropsychopharmacology. 2001;24:66-74. FULL TEXT | ISI | PUBMED
8. Passingham RE. Attention to action. Philos Trans R Soc Lond B Biol Sci. 1996;351:1473-1479. ISI | PUBMED
9. Saxena S, Brody AL, Schwartz JM, Baxter LR. Neuroimaging and frontal-subcortical circuitry in obsessive-compulsive disorder. Br J Psychiatry Suppl. 199835:26-37.
10. Gorman JM, Liebowitz MR, Fyer AJ, Stein J. A neuroanatomical hypothesis for panic disorder. Am J Psychiatry. 1989;146:148-161. FREE FULL TEXT
11. Coplan JD, Lydiard RB. Brain circuits in panic disorder. Biol Psychiatry. 1998;44:1264-1276. FULL TEXT | ISI | PUBMED
12. Gorman JM, Kent JM, Sullivan GM, Coplan JD. Neuroanatomical hypothesis of panic disorder, revised. Am J Psychiatry. 2000;157:493-505. FREE FULL TEXT
13. Charney DS. Neuroanatomical circuits modulating fear and anxiety behaviors. Acta Psychiatr Scand Suppl. 2003417:38-50.
14. Stroop JR. Studies of interference in serial verbal reactions. J Exp Psychol. 1935;6:643-662. FULL TEXT
15. Perret E. The left frontal lobe of man and the suppression of habitual responses in verbal categorical behaviour. Neuropsychologia. 1974;12:323-330. FULL TEXT | ISI | PUBMED
16. Vendrell P, Junque C, Pujol J, Jurado MA, Molet J, Grafman J. The role of prefrontal regions in the Stroop task. Neuropsychologia. 1995;33:341-352. FULL TEXT | ISI | PUBMED
17. Pardo JV, Pardo PJ, Janer KW, Raichle ME. The anterior cingulate cortex mediates processing selection in the Stroop attentional conflict paradigm. Proc Natl Acad Sci U S A. 1990;87:256-259. FREE FULL TEXT
18. Bench C, Frith CD, Grasby PM, Friston KJ, Paulesu E, Frackowiak RS, Dolan RJ. Investigations of the functional anatomy of attention using the Stroop test. Neuropsychologia. 1993;31:907-922. FULL TEXT | ISI | PUBMED
19. George MS, Ketter TA, Parkekh PI, Rosinsky N, Ring H, Casey BJ, Trimble MR, Horwitz B, Hescovitch P, Post RM. Regional brain activity when selecting a response despite interference: an H215O PET study of the Stroop and emotional Stroop. Hum Brain Mapp. 1994;1:194-209. FULL TEXT
20. Carter CS, Mintun M, Cohen JD. Interference and facilitation effects during selective attention: an H215O PET study of Stroop task performance. Neuroimage. 1995;2:264-272. FULL TEXT | ISI | PUBMED
21. Taylor SF, Kornblum S, Lauber EJ, Minoshima S, Koeppe RA. Isolation of specific interference processing in the Stroop task: PET activation studies. Neuroimage. 1997;6:81-92. FULL TEXT | ISI | PUBMED
22. Bush G, Whalen PJ, Rosen BR, Jenike MA, McInerney SC, Rauch SL. The counting Stroop: an interference task specialized for functional neuroimaging—validation study with functional MRI. Hum Brain Mapp. 1998;6:270-282. FULL TEXT | ISI | PUBMED
23. Peterson BS, Skudlarski P, Gatenby JC, Zhang H, Anderson AW, Gore JC. An fMRI study of Stroop word-color interference: evidence for cingulate subregions subserving multiple distributed attentional systems. Biol Psychiatry. 1999;45:1237-1258. FULL TEXT | ISI | PUBMED
24. Carter CS, MacDonald AM, Botvinick M, Ross LL, Stenger VA, Noll D, Cohen JD. Parsing executive processes: strategic vs evaluative functions of the anterior cingulate cortex. Proc Natl Acad Sci U S A. 2000;97:1944-1948. FREE FULL TEXT
25. Leung HC, Skudlarski P, Gatenby JC, Peterson BS, Gore JC. An event-related functional MRI study of the Stroop color word interference task. Cereb Cortex. 2000;10:552-560. FREE FULL TEXT
26. Banich MT, Milham MP, Atchley RA, Cohen NJ, Webb A, Wszalek T, Kramer AF, Liang ZP, Barad V, Gullett D, Shah C, Brown C. Prefrontal regions play a predominate role in imposing an attentional "set": evidence from fMRI. Brain Res Cogn Brain Res. 2000;10:1-9. FULL TEXT | PUBMED
27. MacDonald AW, Cohen JD, Stenger VA, Carter CS. Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science. 2000;288:1835-1838. FREE FULL TEXT
28. Milham MP, Banich MT, Webb A, Barad V, Cohen NJ, Wszalek T, Kramer AF. The relative involvement of anterior cingulate and prefrontal cortex in attentional control depends on nature of conflict. Brain Res Cogn Brain Res. 2001;12:467-473. FULL TEXT | PUBMED
29. Zysset S, Muller K, Lohmann G, von Cramon DY. Color-word matching Stroop task: separating interference and response conflict. Neuroimage. 2001;13:29-36. ISI | PUBMED
30. Gruber SA, Rogowska J, Holcomb P, Soraci S, Yurgelun-Todd D. Stroop performance in normal control subjects: an fMRI study. Neuroimage. 2002;16:349-360. FULL TEXT | ISI | PUBMED
31. Milham MP, Banich MT, Claus ED, Cohen NJ. Practice-related effects demonstrate complementary roles of anterior cingulate and prefrontal cortices in attentional control. Neuroimage. 2003;18:483-493. FULL TEXT | ISI | PUBMED
32. Ukai S, Shinosaki K, Ishii R, Ogawa A, Mizuno-Matsumoto Y, Inouye T, Hirabuki N, Yoshimine T, Robinson SE, Takeda M. Parallel distributed processing neuroimaging in the Stroop task using spatially filtered magnetoencephalography analysis. Neurosci Lett. 2002;334:9-12. FULL TEXT | ISI | PUBMED
33. Botvinick M, Nystrom LE, Fissell K, Carter CS, Cohen JD. Conflict monitoring versus selection-for-action in anterior cingulate cortex. Nature. 1999;402:179-181. FULL TEXT | PUBMED
34. Kerns JG, Cohen JD, MacDonald AW, Cho RY, Stenger VA, Carter CS. Anterior cingulate conflict monitoring and adjustments in control. Science. 2004;303:1023-1026. FREE FULL TEXT
35. Martinot JL, Allilaire JF, Mazoyer BM, Hantouche E, Huret JD, Legaut-Demare F, Deslauriers AG, Hardy P, Pappata S, Baron JC, Syrota A. Obsessive-compulsive disorder: a clinical, neuropsychological and positron emission tomography study. Acta Psychiatr Scand. 1990;82:233-242. ISI | PUBMED
36. Schmidtke K, Schorb A, Winkelmann G, Hohagen F. Cognitive frontal dysfunction in obsessive-compulsive disorder. Biol Psychiatry. 1998;43:666-673. FULL TEXT | ISI | PUBMED
37. Hartston HJ, Swerdlow NR. Visuospatial priming and Stroop performance in patients with obsessive compulsive disorder. Neuropsychology. 1999;13:447-457. FULL TEXT | ISI | PUBMED
38. Moritz S, Birkner C, Kloss M, Jahn H, Hand I, Haasen C, Krausz M. Executive functioning in obsessive-compulsive disorder, unipolar depression, and schizophrenia. Arch Clin Neuropsychol. 2002;17:477-483. FULL TEXT | ISI | PUBMED
39. Kuelz AK, Hohagen F, Voderholzer U. Neuropsychological performance in obsessive-compulsive disorder: a critical review. Biol Psychol. 2004;65:185-236. FULL TEXT | ISI | PUBMED
40. Muller J, Roberts JE. Memory and attention in obsessive-compulsive disorder: a review. J Anxiety Disord. 2005;19:1-28. FULL TEXT | ISI | PUBMED
41. Charash M, McKay D. Attention bias for disgust. J Anxiety Disord. 2002;16:529-541. FULL TEXT | ISI | PUBMED
42. Lecci L, Cohen D. Perceptual consequences of an illness-concern induction and its relation to hypochondriacal tendencies. Health Psychol. 2002;21:147-156. FULL TEXT | ISI | PUBMED
43. Whalen PJ, Bush G, McNally RJ, Wilhelm S, McInerney SC, Jenike MA, Rauch SL. The emotional counting Stroop paradigm: a functional magnetic resonance imaging probe of the anterior cingulate affective division. Biol Psychiatry. 1998;44:1219-1228. FULL TEXT | ISI | PUBMED
44. Mathews A, MacLeod C. Selective processing of threat cues in anxiety states. Behav Res Ther. 1985;23:563-569. FULL TEXT | ISI | PUBMED
45. Martin M, Williams RM, Clark DM. Does anxiety lead to selective processing of threat-related information? Behav Res Ther. 1991;29:147-160. FULL TEXT | ISI | PUBMED
46. Becker ES, Rinck M, Margraf J, Roth WT. The emotional Stroop effect in anxiety disorders: general emotionality or disorder specificity? J Anxiety Disord. 2001;15:147-159. FULL TEXT | ISI | PUBMED
47. Ehlers A, Margraf J, Davies S, Roth WT. Selective processing of threat cues in subjects with panic attacks. Cogn Emotion. 1988;2:201-219.
48. McNally RJ, Riemann BC, Kim E. Selective processing of threat cues in panic disorder. Behav Res Ther. 1990;28:407-412. FULL TEXT | ISI | PUBMED
49. Carter CS, Maddock RJ, Magliozzi J. Patterns of abnormal processing of emotional information in panic disorder and major depression. Psychopathology. 1992;25:65-70. ISI | PUBMED
50. McNally RJ, Riemann BC, Louro CE, Lukach BM, Kim E. Cognitive processing of emotional information in panic disorder. Behav Res Ther. 1992;30:143-149. FULL TEXT | ISI | PUBMED
51. McNally RJ, Amir N, Louro CE, Lukach BM, Riemann BC, Calamari JE. Cognitive processing of idiographic emotional information in panic disorder. Behav Res Ther. 1994;32:119-122. FULL TEXT | ISI | PUBMED
52. Lundh LG, Wikstrom J, Westerlund J, Ost LG. Preattentive bias for emotional information in panic disorder with agoraphobia. J Abnorm Psychol. 1999;108:222-232. FULL TEXT | ISI | PUBMED
53. Kampman M, Keijsers GP, Verbraak MJ, Naring G, Hoogduin CA. The emotional Stroop: a comparison of panic disorder patients, obsessive-compulsive patients, and normal controls, in two experiments. J Anxiety Disord. 2002;16:425-441. FULL TEXT | ISI | PUBMED
54. Foa EB, Ilai D, McCarthy PR, Shoyer B, Murdock T. Information processing in obsessive-compulsive disorder. Cognit Ther Res. 1993;17:173-189.
55. Lavy E, van Oppen P, van den Hout M. Selective processing of emotional information in obsessive-compulsive disorder. Behav Res Ther. 1994;32:243-246. FULL TEXT | ISI | PUBMED
56. Kyrios M, Iob MA. Automatic and strategic processing in obsessive-compulsive disorder: attentional bias, cognitive avoidance or more complex phenomena? J Anxiety Disord. 1998;12:271-292. FULL TEXT | ISI | PUBMED
57. McNally RJ, Kaspi SP, Riemann BC, Zeitlin SB. Selective processing of threat cues in posttraumatic stress disorder. J Abnorm Psychol. 1990;99:398-402. FULL TEXT | ISI | PUBMED
58. Paunovi N, Lundh LG, Ost LG. Attentional and memory bias for emotional information in crime victims with acute posttraumatic stress disorder (PTSD). J Anxiety Disord. 2002;16:675-692. FULL TEXT | ISI | PUBMED
59. Foa E, Feske U, Murdock TB, Kozak MJ, McCarthy PR. Processing of threat-related information in rape victims. J Abnorm Psychol. 1991;100:156-162. FULL TEXT | ISI | PUBMED
60. Mattia JI, Heimberg RG, Hope DA. The revised Stroop color-naming task in social phobics. Behav Res Ther. 1993;31:305-313. FULL TEXT | ISI | PUBMED
61. Amir N, McNally RJ, Riemann BC, Burns J, Lorenz M, Mullen JT. Suppression of the emotional Stroop effect by increased anxiety in patients with social phobia. Behav Res Ther. 1996;34:945-948. FULL TEXT | ISI | PUBMED
62. Ami N, Freshman M, Foa E. Enhanced Stroop interference for threat in social phobia. J Anxiety Disord. 2002;16:1-9. FULL TEXT | ISI | PUBMED
63. Spector IP, Pecknold JC, Libman E. Selective attentional bias related to the noticeability aspect of anxiety symptoms in generalized social phobia. J Anxiety Disord. 2003;17:517-531. FULL TEXT | ISI | PUBMED
64. Musa C, Lepine JP, Clark DM, Mansell W, Ehlers A. Selective attention in social phobia and the moderating effect of a concurrent depressive disorder. Behav Res Ther. 2003;41:1043-1054. FULL TEXT | ISI | PUBMED
65. Watts FN, McKenna FP, Sharrock R, Trezise L. Colour naming of phobia-related words. Br J Psychol. 1986;77:97-108.
66. Lavy E, van den Hout M, Arntz A. Attentional bias and spider phobia: conceptual and clinical issues. Behav Res Ther. 1993;31:17-24. FULL TEXT | ISI | PUBMED
67. Tata PR, Leibowitz JA, Prunty MJ, Cameron M, Pickering AD. Attentional bias in obsessive compulsive disorder. Behav Res Ther. 1996;34:53-60. FULL TEXT | ISI | PUBMED
68. Mogg K, Bradley BP, Williams R, Mathews A. Subliminal processing of emotional information in anxiety and depression. J Abnorm Psychol. 1993;102:304-311. FULL TEXT | ISI | PUBMED
69. Mogg K, Kentish J, Bradley BP. Effects of anxiety and awareness on colour-identification latencies for emotional words. Behav Res Ther. 1993;31:559-567. FULL TEXT | ISI | PUBMED
70. Shin LM, Whalen PJ, Pitman RK, Bush G, Macklin ML, Lasko NB, Orr SP, McInerney SC, Rauch SL. An fMRI study of anterior cingulate function in posttraumatic stress disorder. Biol Psychiatry. 2001;50:932-942. FULL TEXT | ISI | PUBMED
71. Phillips ML, Williams L, Young AW, Andrew C, Bullmore ET, Brammer MJ, Williams SCR, Morgan M, Gray J. Differential neural responses to overt and covert presentations of facial expressions of fear and disgust. Neuroimage. 2004;21:1484-1496. FULL TEXT | ISI | PUBMED
72. Carlsson K, Petersson KM, Lundqvist D, Karlsson A, Ingvar M, Ohman A. Top-down inhibitory modulation of early visual cortex in subjects with specific fear when processing non-conscious phobic stimuli [abstract]. Neuroimage. 2000;11:S247. FULL TEXT
73. Morris JS, Ohman A, Dolan RJ. Conscious and unconscious emotional learning in the human amygdala. Nature. 1998;393:467-470. FULL TEXT | PUBMED
74. Neziroglu F, McKay D, Yaryura-Tobias JA. Overlapping and distinctive features of hypochondriasis and obsessive-compulsive disorder. J Anxiety Disord. 2000;14:603-614. FULL TEXT | ISI | PUBMED
75. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders—Patient Edition. New York, NY: Biometrics Research Department; 1996.
76. Goodman WK, Price LH, Rasmussen SA, Mazure C, Fleischmann RL, Hill CL, Heninger GR, Charney DS. The Yale-Brown Obsessive Compulsive Scale, development, use, and reliability. Arch Gen Psychiatry. 1989;46:1006-1011. FREE FULL TEXT
77. Sanavio E. Obsessions and compulsions: the Padua Inventory. Behav Res Ther. 1988;26:169-177. FULL TEXT | ISI | PUBMED
78. van Oppen P, Hoekstra RJ, Emmelkamp PMG. The structure of obsessive-compulsive symptoms. Behav Res Ther. 1995;33:15-23. FULL TEXT | ISI | PUBMED
79. Pilowsky I. Dimensions of hypochondriasis. Br J Psychiatry. 1967;113:89-93. FREE FULL TEXT
80. Chambless DL, Caputo GC, Bright P, Gallager R. Assessment of fear of fear in agoraphobics: the Body Sensations Questionnaire and the Agoraphobic Cognitions Questionnaire. J Consult Clin Psychol. 1984;52:1090-1097. FULL TEXT | ISI | PUBMED
81. Genovese CR, Lazar NA, Nichols T. Thresholding of statistical maps in functional neuroimaging using the False Discovery Rate. Neuroimage. 2002;15:870-878. FULL TEXT | ISI | PUBMED
82. Veltman DJ. Fear of Bodily Sensations, Epinephrine, and Panic Anxiety [PhD thesis]. Amsterdam, the Netherlands: VU University Medical Center; 1995.
83. Baddeley A. The fractionation of working memory. Proc Natl Acad Sci U S A. 1996;93:13468-13472. FREE FULL TEXT
84. Faw B. Pre-frontal executive committee for perception, working memory, attention, long-term memory, motor control, and thinking: a tutorial review. Conscious Cogn. 2003;12:83-139. FULL TEXT | ISI | PUBMED
85. Fletcher PC, Henson RN. Frontal lobes and human memory: insights from functional neuroimaging. Brain. 2001;124:849-881. FREE FULL TEXT
86. Rauch SL, Savage CR, Alpert NM, Dougherty D, Kendrick A, Curran T, Brown HD, Manzo P, Fischman AJ, Jenike MA. Probing striatal function in obsessive-compulsive disorder: a PET study of implicit sequence learning. J Neuropsychiatry Clin Neurosci. 1997;9:568-573. FREE FULL TEXT
87. van den Heuvel OA, Veltman DJ, Groenewegen HJ, Cath DC, van Balkom AJLM, van Hartskamp J, Barkhof F, van Dyck R. Frontal-striatal dysfunction during planning in obsessive-compulsive disorder. Arch Gen Psychiatry. 2005;62:301-310. FREE FULL TEXT
88. Maddock RJ, Buonocore MH, Kile SJ, Garrett AS. Brain regions showing increased activation by threat-related words in panic disorder. Neuroreport. 2003;14:325-328. FULL TEXT | ISI | PUBMED
89. LeDoux J. The Emotional Brain, the Mysterious Underpinnings of Emotional Life. 1st ed. New York, NY: Touchstone; 1996:225-266.
90. Phillips ML, Drevets WC, Rauch SL, Lane R. Neurobiology of emotion perception, I: the neural basis of normal emotion perception. Biol Psychiatry. 2003;54:504-514. FULL TEXT | ISI | PUBMED
91. Morris JS, Frith CD, Perrett DI, Rowland D, Young AW, Calder AJ, Dolan RJ. A differential neural response in the human amygdala to fearful and happy facial expressions. Nature. 1996;383:812-815. FULL TEXT | PUBMED
92. Phillips ML, Young AW, Senior C, Brammer MJ, Andrew C, Calder AJ, Bullmore ET, Perrett DI, Rowland D, Williams SCR, Gray GA, David AS. A specific neural substrate for perceiving facial expressions of disgust. Nature. 1997;389:495-498. FULL TEXT | PUBMED
93. Morris JS, Friston KJ, Buchel C, Frith CD, Young AW, Calder AJ, Dolan RJ. A neuromodulatory role for the human amygdala in processing emotional facial expressions. Brain. 1998;121:47-57. FREE FULL TEXT
94. Phillips ML, Medford N, Young AW, Williams L, Williams SCR, Bullmore ET, Gray GA, Brammer MJ. Time courses of left and right amygdalar responses to fearful facial expressions. Hum Brain Mapp. 2001;12:193-202. FULL TEXT | ISI | PUBMED
95. Wright CI, Fischer H, Whalen PJ, McInerney SC, Shin LM, Rauch SL. Differential prefrontal cortex and amygdala habituation to repeatedly presented emotional stimuli. Neuroreport. 2001;12:379-383. FULL TEXT | ISI | PUBMED
96. Breiter HC, Rauch SL, Kwong KK, Baker JR, Weisskoff RM, Kennedy DN, Kendrick AD, Davis TL, Jiang A, Cohen MS, Stern CE, Belliveau JW, Baer L, O'Sullivan RL, Savage CR, Jenike MA, Rosen BR. Functional magnetic resonance imaging of symptom provocation in obsessive-compulsive disorder. Arch Gen Psychiatry. 1996;53:595-606. FREE FULL TEXT
97. Adler CM, McDonough-Ryan P, Sax KW, Holland SK, Arndt S, Strakowski SM. fMRI of neuronal activation with symptom provocation in unmedicated patients with obsessive compulsive disorder. J Psychiatr Res. 2000;34:317-324. FULL TEXT | ISI | PUBMED
98. McGuire PK, Bench CJ, Frith CD, Marks IM, Frackowiak RS, Dolan RJ. Functional anatomy of obsessive-compulsive phenomena. Br J Psychiatry. 1994;164:459-468. FREE FULL TEXT
99. Rauch SL, Jenike MA, Alpert NM, Baer L, Breiter HC, Savage CR, Fischman AJ. Regional cerebral blood flow measured during symptom provocation in obsessive-compulsive disorder using oxygen 15-labeled carbon dioxide and positron emission tomography [see comments]. Arch Gen Psychiatry. 1994;51:62-70. FREE FULL TEXT
100. Cottraux J, Gerard D, Cinotti L, Froment JC, Deiber MP, Le Bars D, Galy G, Millet P, Labbe C, Lavenne F, Bouvard M, Mauguiere F. A controlled positron emission tomography study of obsessive and neutral auditory stimulation in obsessive-compulsive disorder with checking rituals. Psychiatry Res. 1996;60:101-112. FULL TEXT | ISI | PUBMED
101. Phillips ML, Marks IM, Senior C, Lythgoe D, O'Dwyer AM, Meehan O, Williams SCR, Brammer MJ, Bullmore ET, McGuire PK. A differential neural response in obsessive-compulsive disorder patients with washing compared with checking symptoms to disgust. Psychol Med. 2000;30:1037-1050. FULL TEXT | ISI | PUBMED
102. van den Heuvel OA, Veltman DJ, Groenewegen HJ, Dolan RJ, Cath DC, Boellaard R, Mesina CT, van Balkom AJLM, van Oppen P, Witter MP, Lammertsma AA, van Dyck R. Amygdala activity in OCD patients with contamination fear: a H215O PET study: psychiatry research. Neuroimaging. 2004;62:301-310.
103. Amaral DG, Price JL. Amygdalo-cortical projections in the monkey (Macaca fascicularis). J Comp Neurol. 1984;230:465-496. FULL TEXT | ISI | PUBMED
104. Massana G, Serra-Grabulosa JM, Salgado-Pineda P, Gastó C, Junqué C, Massana J, Mercader JM, Gómez B, Tobena A, Salamero M. Amygdalar atrophy in panic disorder patients detected by volumetric magnetic resonance imaging. Neuroimage. 2003;19:80-90. ISI | PUBMED
105. Massana G, Serra-Grabulosa JM, Salgado-Pineda P, Gastó C, Junqué C, Massana J, Mercader JM. Parahippocampal gray matter density in panic disorder: a voxel-based morphometric study. Am J Psychiatry. 2003;160:566-568. FREE FULL TEXT
106. Reiman EM, Raichle ME, Butler FK, Herscovitch P, Robins E. A focal brain abnormality in panic disorder, a severe form of anxiety. Nature. 1984;310:683-685. FULL TEXT | PUBMED
107. Reiman EM, Raichle ME, Robins E, Butler FK, Herscovitch P, Fox PT, Perlmutter J. The application of positron emission tomography to the study of panic disorder. Am J Psychiatry. 1986;143:469-477. FREE FULL TEXT
108. Reiman EM, Raichle ME, Robins E, Mintum MA, Fusselman MJ, Fox PT, Price JL, Hackman KA. Neuroanatomical correlates of a lactate-induced anxiety attack. Arch Gen Psychiatry. 1989;46:493-500. FREE FULL TEXT
109. Bystritsky A, Pontillo D, Powers M, Sabb FW, Craske MG, Bookheimer SY. Functional MRI changes during panic anticipation and imagery exposure. Neuroreport. 2001;12:3953-3957. FULL TEXT | ISI | PUBMED
110. Nestadt G, Addington A, Samuels J, Liang KY, Bienvenu OJ, Riddle M, Grados M, Hoehn-Saric R, Cullen B. The identification of OCD-related subgroups based on comorbidity. Biol Psychiatry. 2003;53:914-920. FULL TEXT | ISI | PUBMED
111. Hollander E, Wong CM. Obsessive-compulsive spectrum disorders. J Clin Psychiatry. 1995;56(suppl 4):3-6.
112. Furer P, Walker JR, Chartier MJ, Stein MB. Hypochondriacal concerns and somatization in panic disorder. Depress Anxiety. 1997;6:78-85. FULL TEXT | PUBMED
113. Barsky AJ, Barnett MC, Cleary PD. Hypochondriasis and panic disorder. Arch Gen Psychiatry. 1994;51:918-925. FREE FULL TEXT


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter     What's this?

THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

OCD and anxiety: from afterthought to independence
Craig and Fineberg
J Psychopharmacol 2008;22:217-219.
 

Neurocognitive endophenotypes of obsessive-compulsive disorder
Menzies et al.
Brain 2007;130:3223-3236.
ABSTRACT | FULL TEXT  

Functional Neuroimaging of Anxiety: A Meta-Analysis of Emotional Processing in PTSD, Social Anxiety Disorder, and Specific Phobia
Etkin and Wager
Am. J. Psychiatry 2007;164:1476-1488.
ABSTRACT | FULL TEXT  

Functional and Biochemical Alterations of the Medial Frontal Cortex in Obsessive-Compulsive Disorder
Yucel et al.
Arch Gen Psychiatry 2007;64:946-955.
ABSTRACT | FULL TEXT  

Anxiety disorders and their clinical correlates in multiple sclerosis patients
Korostil and Feinstein
Mult Scler 2007;13:67-72.
ABSTRACT  





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2005 American Medical Association. All Rights Reserved.