Neural mechanisms underlying heterogeneous expression of threat-related attention in social anxiety

Neural activation changes following attention bias modification treatment or a selective serotonin reuptake inhibitor for social anxiety disorder

BACKGROUND

Delineation of changes in neural function associated with novel and established treatments for social anxiety disorder (SAD) can advance treatment development. We examined such changes following selective serotonin reuptake inhibitor (SSRI) and attention bias modification (ABM) variant - gaze-contingent music reward therapy (GC-MRT), a first-line and an emerging treatments for SAD.

METHODS

Eighty-one patients with SAD were allocated to 12-week treatments of either SSRI or GC-MRT, or waitlist (ns = 22, 29, and 30, respectively). Baseline and post-treatment functional magnetic resonance imaging (fMRI) data were collected during a social-threat processing task, in which attention was directed toward and away from threat/neutral faces.

RESULTS

Patients who received GC-MRT or SSRI showed greater clinical improvement relative to patients in waitlist. Compared to waitlist patients, treated patients showed greater activation increase in the right inferior frontal gyrus and anterior cingulate cortex when instructed to attend toward social threats and away from neutral stimuli. An additional anterior cingulate cortex cluster differentiated between the two active groups. Activation in this region increased in ABM and decreased in SSRI. In the ABM group, symptom change was positively correlated with neural activation change in the dorsolateral prefrontal cortex.

CONCLUSIONS

Brain function measures show both shared and treatment-specific changes following ABM and SSRI treatments for SAD, highlighting the multiple pathways through which the two treatments might work. Treatment-specific neural responses suggest that patients with SAD who do not fully benefit from SSRI or ABM may potentially benefit from the alternative treatment, or from a combination of the two.

TRIAL REGISTRATION

ClinicalTrials.gov, Identifier: NCT03346239. https://clinicaltrials.gov/ct2/show/NCT03346239.

Attentional heterogeneity in social anxiety disorder: Evidence from Hidden Markov Models

There is some evidence for heterogeneity in attentional processes among individuals with social anxiety. However, there is limited work considering how attentional processes may differ as a mechanism in a naturalistic task-based context (e.g., public speaking). In this secondary analysis we tested attentional heterogeneity among individuals diagnosed with social anxiety disorder (N = 21) in the context of a virtual reality exposure treatment study. Participants completed a public speaking challenge in an immersive 360°-video virtual reality environment with eye tracking at pre-treatment, post-treatment, and at 1-week follow-up. Using a Hidden Markov Model (HMM) approach with clustering we tested whether there were distinct profiles of attention pre-treatment and whether there were changes following the intervention. As a secondary aim we tested whether the distinct attentional profiles at pre-treatment predicted differential treatment outcomes. We found two distinct attentional profiles pre-treatment that we characterized as audience-focused and audience-avoidant. However, by the 1-week follow-up the two profiles were no longer meaningfully different. We found a meaningful difference between HMM groups for fear of public speaking at post-treatment b = -8.54, 95% Highest Density Interval (HDI) [-16.00, -0.90], Bayes Factor (BF) = 8.31 but not at one-week follow-up b = -5.83, 95% HDI [-13.25, 1.81], BF = 2.28. These findings provide support for heterogeneity in attentional processes among socially anxious individuals, but our findings indicate that this may change following treatment. Moreover, our results offer preliminary mechanistic evidence that patterns of avoidance may be specifically related to poorer treatment outcomes for virtual reality exposure therapy.

Pre-COVID brain network topology prospectively predicts social anxiety alterations during the COVID-19 pandemic

Background

Social anxiety (SA) is a negative emotional response that can lead to mental health issues, which some have experienced during the coronavirus disease 2019 (COVID-19) pandemic. Little attention has been given to the neurobiological mechanisms underlying inter-individual differences in SA alterations related to COVID-19. This study aims to identify neurofunctional markers of COVID-specific SA development.

Methods

110 healthy participants underwent resting-state magnetic resonance imaging and behavioral tests before the pandemic (T1, October 2019 to January 2020) and completed follow-up behavioral measurements during the pandemic (T2, February to May 2020). We constructed individual functional networks and used graph theoretical analysis to estimate their global and nodal topological properties, then used Pearson correlation and partial least squares correlations examine their associations with COVID-specific SA alterations.

Results

In terms of global network parameters, SA alterations (T2-T1) were negatively related to pre-pandemic brain small-worldness and normalized clustering coefficient. In terms of nodal network parameters, SA alterations were positively linked to a pronounced degree centrality pattern, encompassing both the high-level cognitive networks (dorsal attention network, cingulo-opercular task control network, default mode network, memory retrieval network, fronto-parietal task control network, and subcortical network) and low-level perceptual networks (sensory/somatomotor network, auditory network, and visual network). These findings were robust after controlling for pre-pandemic general anxiety, other stressful life events, and family socioeconomic status, as well as by treating SA alterations as categorical variables.

Conclusions

The individual functional network associated with SA alterations showed a disrupted topological organization with a more random state, which may shed light on the neurobiological basis of COVID-related SA changes at the network level.

Development of Neural Mechanisms Underlying Threat Processing: Associations With Childhood Social Reticence and Adolescent Anxiety

Background

Social reticence in early childhood is characterized by shy and anxiously avoidant behavior, and it confers risk for pediatric anxiety disorders later in development. Aberrant threat processing may play a critical role in this association between early reticent behavior and later psychopathology. The goal of this longitudinal study is to characterize developmental trajectories of neural mechanisms underlying threat processing and relate these trajectories to associations between early-childhood social reticence and adolescent anxiety.

Methods

In this 16-year longitudinal study, social reticence was assessed from 2 to 7 years of age; anxiety symptoms and neural mechanisms during the dot-probe task were assessed at 10, 13, and 16 years of age. The sample included 144 participants: 71 children provided data at age 10 (43 girls, meanage = 10.62), 85 at age 13 (46 girls, meanage = 13.25), and 74 at age 16 (36 girls, meanage = 16.27).

Results

A significant interaction manifested among social reticence, anxiety symptoms, and time, on functional connectivity between the left amygdala and the left dorsolateral prefrontal cortex, voxelwise p < .001, clusterwise familywise error p < .05. Children with high social reticence showed a negative association between amygdala-dorsolateral prefrontal cortex connectivity and anxiety symptoms with age, compared to children with low social reticence, suggesting distinct neurodevelopmental pathways to anxiety.

Conclusions

These findings were present across all conditions, suggesting task-general effects in potential threat processing. Additionally, the timing of these neurodevelopmental pathways differed for children with high versus low social reticence, which could affect the timing of effective preventive interventions.

Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis

Numerous previous studies have used event-related potentials (ERPs) to examine facial processing deficits in individuals with social anxiety disorder (SAD). However, researchers still need to determine whether the deficits are general or specific and what the dominant factors are behind different cognitive stages. Meta-analysis was performed to quantitatively identify face processing deficits in individuals with SAD. Ninety-seven results in 27 publications involving 1032 subjects were calculated using Hedges' g. The results suggest that the face itself elicits enlarged P1 amplitudes, threat-related facial expressions induce larger P2 amplitudes, and negative facial expressions lead to enhanced P3/LPP amplitudes in SAD individuals compared with controls. That is, there is face perception attentional bias in the early phase (P1), threat attentional bias in the mid-term phase (P2), and negative emotion attentional bias in the late phase (P3/LPP), which can be summarized into a three-phase SAD face processing deficit model. These findings provide an essential theoretical basis for cognitive behavioral therapy and have significant application value for the initial screening, intervention, and treatment of social anxiety.

Associations between resting-state neural connectivity and positive affect in social anxiety disorder

INTRODUCTION

Social anxiety disorder (SAD) has been characterized by deficits in social motivation and lack of reactivity to pleasurable stimuli (i.e., positive affect; [PA]). Recent neuroimaging work has shifted toward examining positively valenced motivational systems in SAD focused on reward responses. However, little is known about the associations of reward connectivity and PA in individuals with SAD. As such, the purpose of the current study was to determine whether connectivity among key units of reward neurocircuitry meaningfully relate to PA and whether these key units are more heterogeneous in SAD as compared to controls.

METHODS

Thirty-one participants who met diagnostic criteria for SAD and 33 control participants were included (Mage = 24.8, SD = 6.9; 55% cisgender man). Seed-based timeseries correlations were conducted in NiTime to extract region of interest (ROI) coupling correlation strength values. ANOVAs were carried out to assess whether individuals with SAD differed in ROI-to-ROI connectivity strength as compared to controls. Correlations and variance analyses were also conducted to examine the relationship between ROI-to-ROI connectivity strength and PA, as well as heterogeneity in connectivity strength and PA expression.

RESULTS

Weaker connectivity between the left and right orbital frontal cortex was observed when comparing the SAD to the control group. Within the SAD group, PA was associated with several reward-related ROI couplings; however, these links were not observed among controls. Results further demonstrated that individuals with SAD had significantly more variability in reward connectivity strength as compared to controls.

CONCLUSION

Overall, these results provide emergent evidence for the association between reward regions and PA in individuals with SAD. Additionally, these findings show that individuals with SAD demonstrate greater heterogeneity in reward connectivity.

Scary in the eye of the beholder: Attentional bias and attentional retraining for social anxiety

Consistent with cognitive models of social anxiety, socially anxious individuals show cognitive biases that magnify their perceived level of threat in the environment.

OBJECTIVES

The first objective was to determine whether attentional bias for socially threatening stimuli occurs after concomitant depression has been controlled. The second objective was to test the effectiveness of the Attention Control Training Program for Social Anxiety (ACTP-SA) for reducing social anxiety attentional bias and improving therapeutic indices in people with social anxiety.

METHOD

In the first study, socially anxious (N = 30) and non-anxious individuals (N = 30) completed the Beck Depression Inventory-II, Spielberger's State-Trait Anxiety Inventory, Conner's Social Phobia Inventory, a social-anxiety Stroop test, and a clinical interview. In the second study, individuals with social anxiety (N = 30) were randomly assigned to an experimental group that received 4 sessions of ACTP-SA, or to a sham-intervention control condition. At the post-test and a 3-month follow-up, both groups completed the same measures as in Study 1.

RESULTS

In Study 1, socially anxious individuals showed higher attentional bias for threatening stimuli than the controls, after depression had been controlled for. In Study 2, participants in the experimental group, compared with the controls, showed greater reductions in attentional bias, social anxiety, and trait anxiety at post-test and follow-up.

CONCLUSIONS

The results underscore the importance of information processing biases in social anxiety and the benefits of attentional bias training as a complementary intervention for modifying symptoms of social anxiety.

Neurophysiological Correlates for Dynamic Variability Between Vigilance and Avoidance in Test Anxiety

Attention bias (ABs) to threat is essential in the etiology and maintenance of test anxiety. However, little is known about the attention pattern of ABs in test anxiety. The stimulus duration affects the attention pattern in anxiety. Thus, the present research combined the dot-probe paradigm and event-related potentials (ERPs) and varied the stimulus duration (100ms or 500ms) to test the ABs in test anxiety. Consequently, both groups showed a threat N2pc in 100ms and 500ms duration, suggesting that both groups allocated attention to the test-related threat. However, in the 100ms duration, the high test-anxious (HTA) group had smaller target-elicited P1 and greater target-elicited N2 in the threat-congruent condition than in the neutral condition. In the 500ms duration, an earlier threat N2pc and a threat PD followed a greater target P1, and smaller target N2 were pronounced in the HTA group. The current results provided electrophysiological evidence that the HTA group kept a dynamic attention pattern that fluctuated shift between vigilance and avoidance in the 100ms and 500ms duration. The HTA group was more vigilant than the LTA group in the 500ms duration when strategic attention was concerned, proposing that the vigilance in test anxiety was not an automatic process.

The Reliability and Validity of Response-Based Measures of Attention Bias

Background

Attention bias to threat is a fundamental transdiagnostic component and potential vulnerability factor for internalizing psychopathologies. However, the measurement of attentional bias, such as traditional scores from the dot-probe paradigm, evidence poor reliability and do not measure intra-individual variation in attentional bias.

Methods

The present study examined, in three independent samples, the psychometric properties of a novel attentional bias (AB) scoring method of the dot-probe task based on responses to individual trials. For six AB scores derived using the response-based approach, we assessed the internal consistency, test-retest reliability, familial associations, and external validity (using Social Anxiety Disorder, a disorder strongly associated with attentional bias to threatening faces).

Results

Compared to traditional AB scores, response-based scores had generally better internal consistency (range of Cronbach's alphas: 0.68-0.92 vs. 0.41-0.71), higher test-retest reliabilities (range of Pearson's correlations: 0.26-0.77 vs. -0.05-0.35), and were more strongly related in family members (range of ICCs: 0.11-0.27 vs. 0-0.05). Furthermore, three response-based scores added incremental validity beyond traditional scores and gender in the external validators of current and lifetime Social Anxiety Disorder.

Conclusions

Findings indicate that response-based AB scores from the dot-probe task have better psychometric properties than traditional scores.

Ethnic differences in behavioral and physiological indicators of sensitivity to threat

The clinical presentation of anxiety may differ between Hispanics/Latinx (H/L) and non-H/L, although findings on ethnic differences in self-reported anxiety symptoms have been mixed. Fewer studies have focused on ethnic differences in quick and relatively automatic laboratory-assessed indicators of anxiety symptoms, which have the potential to be more objective indicators than self-report. Therefore, the present study examined ethnic differences in two laboratory-assessed indicators of threat sensitivity (an important transdiagnostic mechanism of anxiety): attentional bias to threat and electromyography startle reactivity to threat. White H/L (n = 117) and White non-H/L (n = 168) adults who were matched on demographics and lifetime psychopathology (including anxiety) completed a dot-probe task to assess attentional bias to threat and the No-Predictable-Unpredictable threat (NPU) task to assess startle reactivity to threat. Results indicated that H/L displayed less Slow OrientationRB (β = -0.27, p = 0.032, R2β∗ = 0.02), and increased Slow DisengagementRB (β = 0.31, p = 0.016, R2β∗ = 0.02) compared to non-H/L. H/L exhibited blunted overall startle compared to non-H/L (β = -0.30, p = 0.014, R2β∗ = 0.02), but groups did not differ in startle reactivity to either predictable or unpredictable threat. In summary, H/L and non-H/L may differ in their experience and presentation of anxiety symptoms and such differences may vary across indicators of sensitivity to threat.

Cognitive Neural Mechanism of Social Anxiety Disorder: A Meta-Analysis Based on fMRI Studies

Objective: The present meta-analysis aimed to explore the cognitive and neural mechanism of social anxiety disorder (SAD) from a whole-brain view, and compare the differences in brain activations under different task paradigms. Methods: We searched Web of Science Core Collection and other databases with the keywords related to social anxiety, social phobia, and functional magnetic resonance imaging (fMRI) for comparing persons with SAD to healthy controls and used the activation likelihood estimation method. Thirty-seven papers met the inclusion criteria, including 15 with emotional faces as stimuli, 8 presenting specific situations as stimuli, and 14 using other types of tasks as stimuli. Among these papers, 654 participants were in the SAD group and 594 participants were in the control group with 335 activation increase points and 115 activation decrease points. Results: Whole-brain analysis showed that compared with healthy controls, persons with SAD showed significantly lower activation of the left anterior cingulate gyrus (MNI coordinate: x = −6, y = 22, z = 38; p 0.001). Sub-group analysis based on task indicated that when performing tasks with emotional faces as stimuli, persons with SAD showed significantly lower activation of the left cerebellar slope and fusiform gyrus (MNI coordinate: x = −26, y = −68, z = −12; p 0.001), and significantly higher activation of the right supramarginal gyrus and angular gyrus, than healthy controls (MNI coordinate: x = 58, y = −52, z = 30; p 0.001). Conclusion: Individuals with social anxiety disorder show abnormal activation in the cingulate gyrus, which is responsible for the process of attention control, and task type can influence the activation pattern.

Brain structure correlates of expected social threat and reward

Prospection (mentally simulating future events) generates emotionally-charged mental images that guide social decision-making. Positive and negative social expectancies-imagining new social interactions to be rewarding versus threatening-are core components of social approach and avoidance motivation, respectively. Interindividual differences in such positive and negative future-related cognitions may be underpinned by distinct neuroanatomical substrates. Here, we asked 100 healthy adults to vividly imagine themselves in a novel self-relevant event that was ambiguous with regards to possible social acceptance or rejection. During this task we measured participants' expectancies for social reward (anticipated feelings of social connection) or threat (anticipated feelings of rejection). On a separate day they underwent structural MRI; voxel-based morphometry was used to explore the relation between social reward and threat expectancies and regional grey matter volumes (rGMV). Increased rGMV in key default-network regions involved in prospection, socio-emotional cognition, and subjective valuation, including ventromedial prefrontal cortex, correlated with both higher social reward and lower social threat expectancies. In contrast, social threat expectancies uniquely correlated with rGMV of regions involved in social attention (posterior superior temporal sulcus, pSTS) and interoception (somatosensory cortex). These findings provide novel insight into the neurobiology of future-oriented cognitive-affective processes critical to adaptive social functioning.