Predicting cognitive behavioral therapy response in social anxiety disorder with anterior cingulate cortex and amygdala during emotion regulation

Adaptive-to-maladaptive gradient of emotion regulation tendencies are embedded in the functional-structural hybrid connectome

BACKGROUND

Emotion regulation tendencies are well-known transdiagnostic markers of psychopathology, but their neurobiological foundations have mostly been examined within the theoretical framework of cortical-subcortical interactions.

METHODS

We explored the connectome-wide neural correlates of emotion regulation tendencies using functional and diffusion magnetic resonance images of healthy young adults (N = 99; age 20-30; 28 females). We first tested the importance of considering both the functional and structural connectome through intersubject representational similarity analyses. Then, we employed a canonical correlation analysis between the functional-structural hybrid connectome and 23 emotion regulation strategies. Lastly, we sought to externally validate the results on a transdiagnostic adolescent sample (N = 93; age 11-19; 34 females).

RESULTS

First, interindividual similarity of emotion regulation profiles was significantly correlated with interindividual similarity of the functional-structural hybrid connectome, more so than either the functional or structural connectome. Canonical correlation analysis revealed that an adaptive-to-maladaptive gradient of emotion regulation tendencies mapped onto a specific configuration of covariance within the functional-structural hybrid connectome, which primarily involved functional connections in the motor network and the visual networks as well as structural connections in the default mode network and the subcortical-cerebellar network. In the transdiagnostic adolescent dataset, stronger functional signatures of the found network were associated with higher general positive affect through more frequent use of adaptive coping strategies.

CONCLUSIONS

Taken together, our study illustrates a gradient of emotion regulation tendencies that is best captured when simultaneously considering the functional and structural connections across the whole brain.

Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study

Background and Aims

The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA.

Methods

Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA.

Findings

A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA.

Conclusions

Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.

Individual cognitive therapy reduces frontal-thalamic resting-state functional connectivity in social anxiety disorder

Introduction

Previous neuroimaging studies in social anxiety disorders (SAD) have reported potential neural predictors of cognitive behavioral therapy (CBT)-related brain changes. However, several meta-analyses have demonstrated that cognitive therapy (CT) was superior to traditional exposure-based CBT for SAD.

Objective

To explore resting-state functional connectivity (rsFC) to evaluate the response to individual CT for SAD patients.

Methods

Twenty SAD patients who attended 16-week individual CT were scanned pre- and post-therapy along with twenty healthy controls (HCs). The severity of social anxiety was assessed with the Liebowitz Social Anxiety Scale (LSAS). Multi-voxel pattern analysis (MVPA) was performed on the pre-CT data to extract regions associated with a change in LSAS (∆LSAS). Group comparisons of the seed-based rsFC analysis were performed between the HCs and pre-CT patients and between the pre-and post-CT patients.

Results

MVPA-based regression analysis revealed that rsFC between the left thalamus and the frontal pole/inferior frontal gyrus was significantly correlated with ∆LSAS (adjusted R2 = 0.65; p = 0.00002). Compared with HCs, the pre-CT patients had higher rsFCs between the thalamus and temporal pole and between the thalamus and superior/middle temporal gyrus/planum temporale (p < 0.05). The rsFC between the thalamus and the frontal pole decreased post-CT (p < 0.05).

Conclusion

SAD patients had significant rsFC between the thalamus and temporal pole, superior/middle temporal gyrus, and planum temporale, which may be indicators of extreme anxiety in social situations. In addition, rsFC between the thalamus and the frontal pole may be a neuromarker for the effectiveness of individual CT.

A brain model of altered self-appraisal in social anxiety disorder

The brain's default mode network has a central role in the processing of information concerning oneself. Dysfunction in this self-referential processing represents a key component of multiple mental health conditions, particularly social anxiety disorder (SAD). This case-control study aimed to clarify alterations to network dynamics present during self-appraisal in SAD participants. A total of 38 adolescents and young adults with SAD and 72 healthy control participants underwent a self-referential processing fMRI task. The task involved two primary conditions of interest: direct self-appraisal (thinking about oneself) and reflected self-appraisal (thinking about how others might think about oneself). Dynamic causal modeling and parametric empirical Bayes were then used to explore differences in the effective connectivity of the default mode network between groups. We observed connectivity differences between SAD and healthy control participants in the reflected self-appraisal but not the direct self-appraisal condition. Specifically, SAD participants exhibited greater excitatory connectivity from the posterior cingulate cortex (PCC) to medial prefrontal cortex (MPFC) and greater inhibitory connectivity from the inferior parietal lobule (IPL) to MPFC. In contrast, SAD participants exhibited reduced intrinsic connectivity in the absence of task modulation. This was illustrated by reduced excitatory connectivity from the PCC to MPFC and reduced inhibitory connectivity from the IPL to MPFC. As such, participants with SAD showed changes to afferent connections to the MPFC which occurred during both reflected self-appraisal as well as intrinsically. The presence of connectivity differences in reflected and not direct self-appraisal is consistent with the characteristic fear of negative social evaluation that is experienced by people with SAD.

Social circuits and their dysfunction in autism spectrum disorder

Social behaviors, how individuals act cooperatively and competitively with conspecifics, are widely seen across species. Rodents display various social behaviors, and many different behavioral paradigms have been used for investigating their neural circuit bases. Social behavior is highly vulnerable to brain network dysfunction caused by neurological and neuropsychiatric conditions such as autism spectrum disorders (ASDs). Studying mouse models of ASD provides a promising avenue toward elucidating mechanisms of abnormal social behavior and potential therapeutic targets for treatment. In this review, we outline recent progress and key findings on neural circuit mechanisms underlying social behavior, with particular emphasis on rodent studies that monitor and manipulate the activity of specific circuits using modern systems neuroscience approaches. Social behavior is mediated by a distributed brain-wide network among major cortical (e.g., medial prefrontal cortex (mPFC), anterior cingulate cortex, and insular cortex (IC)) and subcortical (e.g., nucleus accumbens, basolateral amygdala (BLA), and ventral tegmental area) structures, influenced by multiple neuromodulatory systems (e.g., oxytocin, dopamine, and serotonin). We particularly draw special attention to IC as a unique cortical area that mediates multisensory integration, encoding of ongoing social interaction, social decision-making, emotion, and empathy. Additionally, a synthesis of studies investigating ASD mouse models demonstrates that dysfunctions in mPFC-BLA circuitry and neuromodulation are prominent. Pharmacological rescues by local or systemic (e.g., oral) administration of various drugs have provided valuable clues for developing new therapeutic agents for ASD. Future efforts and technological advances will push forward the next frontiers in this field, such as the elucidation of brain-wide network activity and inter-brain neural dynamics during real and virtual social interactions, and the establishment of circuit-based therapy for disorders affecting social functions.

Self-evaluation of social-rank in socially anxious individuals associates with enhanced striatal reward function

BACKGROUND

Negative self-views, especially in the domain of power (i.e. social-rank), characterize social anxiety (SA). Neuroimaging studies on self-evaluations in SA have mainly focused on subcortical threat processing systems. Yet, self-evaluation may concurrently invoke diverse affective processing, as motivational systems related to desired self-views may also be activated. To investigate the conflictual nature that may accompany self-evaluation of certain social domains in SA, we examined brain activity related to both threat and reward processing.

METHODS

Participants (N = 74) differing in self-reported SA-severity underwent fMRI while completing a self-evaluation task, wherein they judged the self-descriptiveness of high- v. low-intensity traits in the domains of power and affiliation (i.e. social connectedness). Participants also completed two auxiliary fMRI tasks designated to evoke reward- and threat-related activations in the ventral striatum (VS) and amygdala, respectively. We hypothesized that self-evaluations in SA, particularly in the domain of power, involve aberrant brain activity related to both threat and reward processing.

RESULTS

SA-severity was more negatively associated with power than with affiliation self-evaluations. During self-evaluative judgment of high-power (e.g. dominant), SA-severity associated with increased activity in the VS and ventromedial prefrontal cortex. Moreover, SA-severity correlated with higher similarity between brain activity patterns activated by high-power traits and patterns activated by incentive salience (i.e. reward anticipation) in the VS during the reward task.

CONCLUSIONS

Our findings indicate that self-evaluation of high-power in SA involves excessive striatal reward-related activation, and pinpoint the downregulation of VS-VMPFC activity within such self-evaluative context as a potential neural outcome for therapeutic interventions.

A resting state fMRI study of major depressive disorder with and without anxiety

BACKGROUND

The neurobiology of the Major depressive disorder (MDD) with anxiety is still unclear. The present study aimed to explore the brain correlates of MDD with and without anxiety in men and women during resting-state fMRI.

METHODS

Two hundred and fifty-four patients with MDD (MDD with anxiety, N = 152) and MDD without anxiety, N = 102) and 228 healthy controls (HCs) participated in this study. We compared the fALFF(fractional amplitude of low-frequency fluctuations) and ReHo(regional homogeneity) of ACC(anterior cingulate cortex) and insula among these three groups. We also compared gender difference between MDD with anxiety and MDD without anxiety.

RESULTS

We found that the fALFF values within the ACC and insula were significantly lower in MDD with anxiety compared to without anxiety and HCs. However, we did not find differences in ReHo values among the three groups. In women, we found significant differences in fALFF values between MDD with and without anxiety. These differences were not observed in men.

CONCLUSIONS

It is possible that MDD with anxiety show less spontaneous BOLD-fMRI signal intensity within the ACC and insula compared to MDD without anxiety, especially in women. The fALFF within the ACC and insula can be a potential biomarker for severe MDD phenotype.

Neural signatures of individual variability in context-dependent perception of ambiguous facial expression

How do we incorporate contextual information to infer others' emotional state? Here we employed a naturalistic context-dependent facial expression estimation task where participants estimated pleasantness levels of others' ambiguous expression faces when sniffing different contextual cues (e.g., urine, fish, water, and rose). Based on their pleasantness rating data, we placed participants on a context-dependency continuum and mapped the individual variability in the context-dependency onto the neural representation using a representational similarity analysis. We found that the individual variability in the context-dependency of facial expression estimation correlated with the activity level of the pregenual anterior cingulate cortex (pgACC) and the amygdala and was also decoded by the neural representation of the ventral anterior insula (vAI). A dynamic causal modeling revealed that those with higher context-dependency exhibited a greater degree of the modulation from vAI to the pgACC. These findings provide novel insights into the neural circuitry associated with the individual variability in context-dependent facial expression estimation and the first empirical evidence for individual variability in the predictive accounts of affective states.

Neural effects of a short-term virtual reality self-training program to reduce social anxiety

BACKGROUND

Social anxiety disorder (SAD) is characterized by anxiety regarding social situations, avoidance of external social stimuli, and negative self-beliefs. Virtual reality self-training (VRS) at home may be a good interim modality for reducing social fears before formal treatment. This study aimed to find neurobiological evidence for the therapeutic effect of VRS.

METHODS

Fifty-two patients with SAD were randomly assigned to a VRS or waiting list (WL) group. The VRS group received an eight-session VRS program for 2 weeks, whereas the WL group received no intervention. Clinical assessments and functional magnetic resonance imaging scanning with the distress and speech evaluation tasks were repeatedly performed at baseline and after 3 weeks.

RESULTS

The post-VRS assessment showed significantly decreased anxiety and avoidance scores, distress index, and negative evaluation index for 'self', but no change in the negative evaluation index for 'other'. Patients showed significant responses to the distress task in various regions, including both sides of the prefrontal regions, occipital regions, insula, and thalamus, and to the speech evaluation task in the bilateral anterior cingulate cortex. Among these, significant neuronal changes after VRS were observed only in the right lingual gyrus and left thalamus.

CONCLUSIONS

VRS-induced improvements in the ability to pay attention to social stimuli without avoidance and even positively modulate emotional cues are based on functional changes in the visual cortices and thalamus. Based on these short-term neuronal changes, VRS can be a first intervention option for individuals with SAD who avoid society or are reluctant to receive formal treatment.

Neurocircuitry of Treatment in Anxiety Disorders

Background:

Methods:

Results:

Conclusions:

Anterior cingulate cortex activity during attentional control corresponds with rumination in depression and social anxiety

Rumination and worry are transdiagnostic perseverative cognitions that have overlapping and distinct characteristics. While the mechanisms of perseverative cognitions remain incomplete, limited data indicate anterior cingulate cortex (ACC) as it relates to top-down functions contributes to perseverative cognitions in internalizing conditions. The current study extends this work in patients with major depression (n = 39) or social anxiety (n = 42). During fMRI, participants viewed images comprising letter strings superimposed on task-irrelevant threatening or neutral faces. To moderate task difficulty, there was a low perceptual load condition where the target letter was in a string of identical letters and high load condition with the target letter in a mixed letter string increasing task difficulty. Regions of interest (ROI) comprised dorsal ACC and rostral ACC. Bilateral amygdala was also examined. Results showed diagnostic groups had similar levels of rumination and worry. Exploratory hierarchical regression analysis comprising clinical measures, task performance, and the 4 ROIs revealed significantly less dorsal ACC engagement during low (vs. high) load to task-irrelevant faces corresponded with more rumination, but not worry, regardless of diagnostic status. However, the ACC finding did not survive Bonferroni correction. Preliminary results suggest dorsal ACC response during attentional control may serve as a transdiagnostic mechanism of rumination.

The effect of depression on treatment outcome in social anxiety disorder: an individual-level meta-analysis

Social anxiety disorder (SAD) is highly comorbid with depression. In the present meta-analysis, we conducted the first individual-level examination of the association between pre-treatment depression and improvement in social anxiety symptoms during treatment. We identified eligible studies on cognitive behavior therapy (CBT) and pharmacotherapy for SAD and contacted authors to obtain individual-level data. We obtained these data from 41 studies, including 46 treatment conditions (n = 4,381). Our results showed that individuals who had high levels of depression at pre-treatment experienced greater decreases in social anxiety symptoms from pre- to post-treatment, but not at follow-up. When analyzing treatment modalities (individual CBT, group CBT, internet-delivered CBT, and pharmacotherapy), we found that depressive symptoms were associated with better post-treatment outcomes for individual CBT and internet-delivered CBT, but not for pharmacotherapy or group CBT. Our findings suggest that depression does not negatively affect treatment outcome in SAD and may even lead to improved outcomes in some treatment formats. Clinical implications of these findings are discussed.

Evaluation of Cognitive Behavioral Therapy vs Mindfulness Meditation in Brain Changes During Reappraisal and Acceptance Among Patients With Social Anxiety Disorder: A Randomized Clinical Trial

IMPORTANCE

Cognitive behavioral group therapy (CBGT) and mindfulness-based stress reduction (MBSR) are thought to help patients with social anxiety disorder (SAD) via distinct emotion-regulation mechanisms. However, no study has compared the effects of CBGT and MBSR on brain and negative emotion indicators of cognitive reappraisal and acceptance in patients with SAD.

OBJECTIVE

To investigate the effects of CBGT and MBSR on reappraisal and acceptance in patients with SAD and to test whether treatment-associated brain changes are associated with social anxiety symptoms 1 year posttreatment.

DESIGN, SETTING, AND PARTICIPANTS

In this randomized clinical trial, a total of 108 unmedicated adults diagnosed with generalized SAD were randomly assigned to 12 weeks of CBGT, MBSR, or waitlist. The final sample included 31 patients receiving CBGT, 32 patients receiving MBSR, and 32 waitlist patients. Data were collected at the psychology department at Stanford University from September 2012 to December 2014. Data were analyzed from February 2019 to December 2020.

INTERVENTIONS

CBGT and MBSR.

MAIN OUTCOMES AND MEASURES

Changes in self-reported negative emotion and functional magnetic resonance imaging (fMRI) blood oxygen level-dependent (BOLD) signal within an a priori-defined brain search region mask derived from a meta-analysis of cognitive reappraisal and attention regulation 1 year posttreatment.

RESULTS

Of 108 participants, 60 (56%) were female. The mean (SD) age was 32.7 (8.0) years. Self-reported race and ethnicity data were collected to inform the generalizability of the study to the wider population and to satisfy the requirements of the National Institutes of Health. From the categories provided by the National Institutes of Health, 47 participants selected White (43.5%), 42 selected Asian (38.9%) 10 selected Latinx (9.3%), 1 selected Black (1%), 1 selected Native American (1%), and 7 selected more than 1 race (6.5%). CBGT and MBSR were associated with a significant decrease in negative emotion (partial η2 range, 0.38 to 0.53) with no significant between-group differences when reacting (β, -0.04; SE, 0.09; 95% CI, -0.11 to 0.08; t92 = -0.37; P = .71), reappraising (β, -0.15; SE, 0.09; 95% CI, -0.32 to 0.03; t92 = -1.67; P = .10), or accepting (β, -0.05; SE, 0.08; 95% CI, -0.20 to 0.11; t92 = -0.59; P = .56). There was a significant increase in BOLD percentage signal change in cognitive and attention-regulation regions when reappraising (CBGT = 0.031; MBSR = 0.037) and accepting (CBGT = 0.012; MBSR = 0.077) negative self-beliefs. CBGT and MBSR did not differ in decreased negative emotion and increased reappraisal and acceptance BOLD responses. Reappraisal-associated MBSR (vs CBGT) negative emotions and CBGT (vs MBSR) brain responses were associated with social anxiety symptoms 1 year posttreatment.

CONCLUSIONS AND RELEVANCE

The results of this study suggest that CBGT and MBSR may be effective treatments with long-term benefits for patients with SAD that recruit cognitive and attention-regulation brain networks. Despite contrasting models of therapeutic change, CBT and MBSR may both enhance reappraisal and acceptance emotion regulation strategies.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02036658.

The anterior cingulate cortex as a key locus of ketamine's antidepressant action

The subdivisions of the anterior cingulate cortex (ACC) - including subgenual, perigenual and dorsal zones - are implicated in the etiology, pathogenesis and treatment of major depression. We review an emerging body of evidence which suggests that changes in ACC activity are critically important in mediating the antidepressant effects of ketamine, the prototypical member of an emerging class of rapidly acting antidepressants. Infusions of ketamine induce acute (over minutes) and post-acute (over hours to days) modulations in subgenual and perigenual activity, and importantly, these changes can correlate with antidepressant efficacy. The subgenual and dorsal zones of the ACC have been specifically implicated in ketamine's anti-anhedonic effects. We emphasize the synergistic relationship between neuroimaging studies in humans and brain manipulations in animals to understand the causal relationship between changes in brain activity and therapeutic efficacy. We conclude with circuit-based perspectives on ketamine's action: first, related to ACC function in a central network mediating affective pain, and second, related to its role as the anterior node of the default mode network.

Resting state functional connectivity correlates of rumination and worry in internalizing psychopathologies

BACKGROUND

Rumination and worry are repetitive negative thinking (RNT) tendencies that contribute to the development and maintenance of internalizing psychopathologies. Accruing data suggest rumination and worry represent overlapping and unique transdiagnostic cognitive processes. Yet, prior neuroimaging research has mostly focused on rumination in depression, which points to involvement of resting-state brain activity in default mode, executive, salience, and/or affective networks.

METHODS

The current study examined relations between brain activity during rest and RNT in a transdiagnostic sample. Resting-state fMRI data was analyzed in 80 unmedicated patients with internalizing conditions. Regression analysis, controlling for anxiety and depression symptoms, was performed with seed regions implicated in default mode, executive, salience, and affective networks. Rumination and worry were assessed with standard self-report measures.

RESULTS

Whole-brain regression results showed more rumination and worry jointly corresponded with greater positive resting-state functional connectivity (rsFC) between the amygdala and prefrontal regions (i.e., middle frontal gyrus, inferior frontal gyrus). Conversely, more worry (controlling for rumination) corresponded with greater negative rsFC between amygdala and precuneus. No significant results were observed for rumination alone (controlling for worry).

CONCLUSIONS

Findings indicate the affective network plays a role in RNT, and distinct patterns of connectivity between amygdala and regions implicated in the executive and default mode networks were observed across patients with internalizing conditions. Results suggest different mechanisms contribute to RNT as a unitary construct and worry as a unique construct.

Optogenetic Approaches to Understand the Neural Circuit Mechanism of Social Deficits Seen in Autism Spectrum Disorders

Individuals with neurodevelopmental disorders, such as autism spectrum disorders (ASDs), are diagnosed based on nonquantitative objective parameters such as behavioral phenotypes. It is still unclear how any neural mechanism affects such behavioral phenotypes in these patients. In human genetics, a large number of genetic abnormalities including single nucleotide variation (SNV) and copy number variation (CNV) have been found in individuals with ASDs. It is thought that influence of such variations converges on dysfunction of neural circuit resulting in common behavioral phenotypes of ASDs such as deficits in social communication and interaction. Recent studies suggest that an excitatory/inhibitory (E/I) imbalanced state, which induces disruption of neural circuit activities, is one of the pathophysiological abnormalities in ASD brains. To assess the causal relationship between brain abnormalities and behavioral deficits, we can take advantage of optogenetics with animal models of ASDs that recapitulate human genetic mutations. Here, we review optogenetics studies being utilized to dissect neural circuit mechanisms associated with social deficits in model mice of ASD. Optogenetic manipulation of disrupted neural activities would help us understand how neural circuits affect behavioral deficits observed in ASDs.

Do depressive symptoms affect the outcome of treatments for SAD? A meta analysis of randomized controlled trials

Individuals with social anxiety disorder (SAD) typically have elevated depressive symptoms. In the present meta-analysis, we reviewed the treatment outcome literature in SAD and examined whether depressive symptoms predict treatment outcome. We focused on randomized controlled trials of cognitive behavior therapy (individual face-to-face, group format, and internet-delivered format) and randomized controlled trials of pharmacotherapy. After implementing exclusion criteria, 108 studies with 133 treatment conditions (n = 12,913 participants) were included in the meta-analysis. Our findings indicated that treatments for SAD were efficacious and significantly reduced social anxiety symptoms across all treatment modalities. Exclusion of individuals with MDD or high levels of depression did not affect outcome at post-treatment or at follow-up. However, we found that elevated depressive symptoms were associated with greater reductions in social anxiety symptoms from pre-treatment to post-treatment. Importantly, this effect was above and beyond pre-treatment levels of social anxiety. Finally, analyzing treatment modalities separately, we found that depressive symptoms were associated with better post-treatment outcomes in individual face-to-face CBT but not in other modalities. Clinical and research implications of these findings are discussed.

Traces of culture: The feedback loop between behavior, brain, and disorder

Culture is part of an extensive series of feedback loops, which involve multiple organismic levels including social contexts, cognitive mediations, neural processes, and behavior. Recent studies in neuroscience show that culturally contingent social processes shape some neural pathways. Studying the influence of cultural context on neural processes may yield new insights into psychiatric disorders. New methodologies in the neurosciences offer innovative ways to assess the impact of culture on mental health and illness. However, implementing these methodologies raises important theoretical and ethical concerns, which must be resolved to address patient individuality and the complexity of cultural diversity. This article discusses cultural context as a major influence on (and consequence of) human neural plasticity and advocates a culture-brain-behavior (CBB) interaction model for conceptualizing the relationship between culture, brain, and psychiatric disorders. Recommendations are made for integrating neuroscientific techniques into transcultural psychiatric research by taking a systems approach to evaluating disorders.

Imaging the socially-anxious brain: recent advances and future prospects

Social anxiety disorder (SAD) is serious psychiatric condition with a genetic background. Insight into the neurobiological alterations underlying the disorder is essential to develop effective interventions that could relieve SAD-related suffering. In this expert review, we consider recent neuroimaging work on SAD. First, we focus on new results from magnetic resonance imaging studies dedicated to outlining biomarkers of SAD, including encouraging findings with respect to structural and functional brain alterations associated with the disorder. Furthermore, we highlight innovative studies in the field of neuroprediction and studies that established the effects of treatment on brain characteristics. Next, we describe novel work aimed to delineate endophenotypes of SAD, providing insight into the genetic susceptibility to develop the disorder. Finally, we outline outstanding questions and point out directions for future research.

Changes in functional connectivity with cognitive behavioral therapy for social anxiety disorder predict outcomes at follow-up

Approximately half of individuals with Social Anxiety Disorder (SAD) treated with psychological intervention do not achieve clinically significant improvement or retain long-term gains. Neurobiological models of SAD propose that disruptions in functioning of amygdala-prefrontal circuitry is implicated in short-term treatment response. However, whether treatment-related changes in functional connectivity predict long-term well-being after psychotherapy is unknown. Patients with SAD completed an incidental emotion regulation task during fMRI before and after treatment with cognitive behavioral therapy or acceptance and commitment therapy (n = 23, collapsed across groups). Psychophysiological interaction analyses using amygdala seed regions were conducted to assess changes in functional connectivity from pre-to post-treatment that predicted symptom change from 6 to 12-month follow-up. Negative change (i.e., greater inverse/weaker positive) in amygdala connectivity with the dorsomedial prefrontal cortex (dmPFC) and dorsal anterior cingulate cortex (dACC) predicted greater symptom reduction during follow-up. Positive change in amygdala connectivity with the cerebellum, fusiform gyrus, and pre-central and post-central gyri predicted less symptom reduction (e.g., no change or worsening). Results suggest that strengthened amygdala connectivity with regulatory regions may promote better long-term outcomes, whereas changes with visual and sensorimotor regions may represent sensitization to emotion-related cues, conferring poorer outcomes. Clinical implications for treatment personalization are discussed, should effects replicate in larger samples.

Altered neural processing of negative stimuli in people with internet gaming disorder: fMRI evidence from the comparison with recreational game users

BACKGROUND

Abundant clinical studies have suggested that emotion dysregulation seems to be the essential pathogenesis for Internet gaming disorder (IGD). However, the neural mechanism of emotion regulation for IGD is still unclear.

METHODS

Subjective evaluation and fMRI data were collected from 50 subjects (IGD: 24; recreational game user (RGU): 26) while they were performing an emotion reappraisal task. We collected and compared their brain features during emotion processing of different visual stimuli.

RESULTS

Higher activation in the left dorsal anterior cingulate cortex (dACC), right ventral ACC, left claustrum and bilateral insula was observed in participants with IGD during emotion reappraisal relative to that of the RGU participants. In addition, generalized psychophysiological interaction analysis also showed that IGD participants had stronger functional connectivity between the right insula and bilateral dorsolateral prefrontal cortex (DLPFC) than the RGU participants.

CONCLUSIONS

The results suggest that IGD participants could not down-regulate their negative emotional experiences as efficiently as the RGU participants, although they engaged more cognitive resources. These results reveal the special neural circuits of emotion dysregulation in IGD individuals and provide new neural perspective for the intervention of IGD.

Alterações do córtex cingulado anterior como um preditor de resposta à terapia cognitivo-comportamental

RESUMO Objetivo A terapia cognitivo-comportamental (TCC) tem eficácia bem-documentada na literatura científica para transtornos relacionados aos sintomas da ansiedade. No entanto, há uma parcela de pacientes que não responde ao tratamento psicoterápico. Por isso, os estudos sobre as alterações no córtex cingulado anterior (CCA) como preditoras neurais do tratamento têm contribuído para encontrar respostas sobre as diferenças nas respostas ao tratamento. O objetivo do presente estudo é descrever, por meio de revisão sistemática, os estudos encontrados até o ano de 2018 sobre o papel do CCA na predição de resposta à terapia. Métodos Foram realizadas buscas nas bases PsycInfo, Web of Science e PubMed com termos referentes ao tema “córtex cingulado anterior”, “terapia cognitivo-comportamental” e “predição de respostas”, incluindo estudos com neuroimagem estrutural e funcional. Resultados As buscas apresentaram 14 artigos sobre “transtorno de estresse pós-traumático (TEPT)”, “transtorno obsessivo-compulsivo (TOC)” e “transtorno de ansiedade social (TAS)”. Os estudos com neuroimagem estrutural apresentaram resultados promissores. A maior espessura do CCA foi preditora de melhor resposta ao tratamento para TEPT e TOC. Os resultados de neuroimagem funcional foram promissores para maior ativação como preditora de melhor resposta para TAS. Por outro lado, os resultados para TEPT apontaram que a menor ativação pode ser preditora de melhores respostas. Conclusão As alterações nos estudos de neuroimagem sugerem que o CCA tenha um papel de predição de resposta ao tratamento com TCC. Estudos posteriores com amostras maiores podem contribuir para a ampliação da eficácia nos tratamentos de tais transtornos.

The Effect of Cognitive-Behavioral Therapy on Acromegalics After a 9-Month Follow-Up

Introduction: The quality of life of acromegalics is compromised. Treatment with the "Think healthy and feel the difference" technique has been described as effective in the improvement of the quality of life of these patients in the short term. However, its effectiveness in the long term needs to be evaluated. Objective: The purpose of this study was to evaluate whether the good results obtained from the "Think healthy and feel the difference" technique in the short term persists in the long term, after the end of the treatment. Method: This is a non-randomized longitudinal study with 23 acromegalic divided into two groups: an intervention group with 10 patients and a control group with 13 patients. The intervention itself covered nine group sessions, organized weekly, using a technique called "Think healthy and feel the difference." The control group did not receive the aforementioned treatment. The Short Form 36 Question Health Survey (SF-36) and the Beck Depression Inventory were administered before the sessions began, at the end of the nine therapy sessions and at the 9-month follow-up. Results: At the end of the treatment, the results of the SF-36 showed improvement in the mental health of the intervention group compared to the control group. The effects of therapy were maintained at the 9 month follow-up. Conclusion: Cognitive-behavioral therapy, applied in a group format, can improve the quality of life of acromegalic patients in the short- and long-term.

Transdiagnostic neural correlates of volitional emotion regulation in anxiety and depression

BACKGROUND

Individuals who suffer from anxiety and/or depression face difficulty in adaptively managing emotional responses, while accumulating evidence suggests impaired emotion regulation is a transdiagnostic feature of psychopathology. Effectual regulation in the context of negative stimuli is characterized by engagement of the prefrontal cortex (PFC) coupled with reduced amygdala reactivity. In anxiety disorders and major depression, PFC underengagement and atypical PFC-amygdala connectivity has been observed, although patient findings based on case-control studies have been mixed with regard to magnitude, locality, and extent of dysfunction. As anxiety disorders and major depression are heterogeneous disorders and frequently comorbid with one another, delineating relationships between reappraise-related substrates and symptoms may advance our understanding of emotion dysregulation in these populations.

METHODS

We examined PFC activation and its functional connectivity (FC) to the amygdala using functional magnetic resonance imaging in a large sample of patients (N = 174) with primary generalized anxiety disorder (n = 47), social anxiety disorder (n = 78), or major depressive disorder (n = 49) during a reappraisal-based emotion regulation task. Comorbidity was permitted and the majority of participants had a concurrent psychiatric illnesses.

RESULTS

Across participants, whole-brain results showed that (1) greater anxiety and depression symptom severity was related to less engagement of the dorsal anterior cingulate cortex (ACC) and (2) less FC between the amygdala and ventrolateral PFC. Results were driven by anxiety, while depression symptoms were not significant.

CONCLUSION

These findings demonstrate that individual differences in anxiety and depression may help explain ACC and PFC dysfunction during emotion regulation observed across anxiety and depressive disorders.

Multidimensional imaging techniques for prediction of treatment response in major depressive disorder

A large number of studies have attempted to use neuroimaging tools to aid in treatment prediction models for major depressive disorder (MDD). Most such studies have reported on only one dimension of function and prediction at a time. In this study, we used three different tasks across domains of function (emotion processing, reward anticipation, and cognitive control, plus resting state connectivity completed prior to start of medication to predict treatment response in 13-36 adults with MDD. For each experiment, adults with MDD were prescribed only label duloxetine (all experiments), whereas another subset were prescribed escitalopram. We used a KeyNet (both Task derived masks and Key intrinsic Network derived masks) approach to targeting brain systems in a specific match to tasks. The most robust predictors were (Dichter et al., 2010) positive response to anger and (Gong et al., 2011) negative response to fear within relevant anger and fear TaskNets and Salience and Emotion KeyNet (Langenecker et al., 2018) cognitive control (correct rejections) within Inhibition TaskNet (negative) and Cognitive Control KeyNet (positive). Resting state analyses were most robust for Cognitive control Network (positive) and Salience and Emotion Network (negative). Results differed by whether an -fwhm or -acf (more conservative) adjustment for multiple comparisons was used. Together, these results implicate the importance of future studies with larger sample sizes, multidimensional predictive models, and the importance of using empirically derived masks for search areas.

Neuroimaging findings as predictors of treatment outcome of psychotherapy in anxiety disorders

Anxiety disorders are the largest group of mental disorders and a leading cause of impairment, implicating in high costs for health systems and society. Effective pharmacological and psychological treatments are available, but a significant fraction of these patients does not respond adequately to these treatments. The objective of this study is to identify neuroimaging findings that could predict response to psychotherapy in anxiety disorders.

METHODS

The authors reviewed psychotherapy clinical trials with neuroimaging conducted with patients with anxiety disorders. A systematic review was performed in MEDLINE database through PubMed, the Cochrane Collaboration's Clinical Trials Register (CENTRAL), PsycINFO and Thomson Reuters's Web of Science.

RESULTS

From the studies included in this review, 24 investigated anxiety disorder patients, and findings in the amygdala, dorsolateral prefrontal cortex (dlPFC), anterior cingulate cortex (ACC) and insula predicted response to psychotherapy in social anxiety disorder. Findings in ACC, hippocampus, insula, dlPFC, amygdala and inferior frontal gyrus (iFG) predicted response to psychotherapy in panic disorder and generalized anxiety disorder.

LIMITATIONS

There was great heterogeneity between the included studies regarding neuroimaging techniques and the tasks performed during functional neuroimaging.

CONCLUSION

Neuroimaging studies suggest that abnormalities in hippocampus, amygdala, iFG, uncus and areas linked with emotional regulation (dlPFC and ACC), predict a good outcome to psychotherapy in anxiety disorders.

Reliability of Fronto-Amygdala Coupling during Emotional Face Processing

One of the most exciting translational prospects for brain imaging research is the potential use of functional magnetic resonance imaging (fMRI) 'biomarkers' to predict an individual's risk of developing a neuropsychiatric disorder or the likelihood of responding to a particular intervention. This proposal depends critically on reliable measurements at the level of the individual. Several previous studies have reported relatively poor reliability of amygdala activation during emotional face processing, a key putative fMRI 'biomarker'. However, the reliability of amygdala connectivity measures is much less well understood. Here, we assessed the reliability of task-modulated coupling between three seed regions (left and right amygdala and the subgenual anterior cingulate cortex) and the dorsomedial frontal/cingulate cortex (DMFC), measured using a psychophysiological interaction analysis in 29 healthy individuals scanned approximately two weeks apart. We performed two runs on each day of three different emotional face-processing tasks: emotion identification, emotion matching, and gender classification. We tested both between-day reliability and within-day (between-run) reliability. We found good-to-excellent within-subject reliability of amygdala-DMFC coupling, both between days (in two tasks), and within day (in one task). This suggests that disorder-relevant regional coupling may be sufficiently reliable to be used as a predictor of treatment response or clinical risk in future clinical studies.

Brain activity mediates the relation between emotional but not instrumental support and trait loneliness

Loneliness results from lacking satisfied social connections. However, little is known how trait loneliness, which is a stable personal characteristic, is influenced by different types of social support (i.e. emotional and instrumental support) through the brain activity associated with loneliness. To explore these questions, data of resting-state functional magnetic resonance imaging (R-fMRI) of 92 healthy participants were analyzed. We identified loneliness-related brain regions by correlating participants’ loneliness scores with amplitudes of low-frequency fluctuation (ALFF) of R-fMRI data. We then conducted mediation analyses to test whether the negative relation between each type of social support and loneliness was explained via the neural activity in the loneliness-related brain regions. The results showed that loneliness was positively related to the mean ALFF value within right inferior temporal gyrus (ITG). In addition, the negative relation between emotional support and loneliness was explained by a decrease in the spontaneous neural activity within right ITG but this pattern was not observed for instrumental support. These results suggest the importance of social information processing on trait loneliness and highlight the need to differentiate the functions of different types of social support on mental health from a neural perspective.

Dynamic functional abnormalities in generalized anxiety disorders and their increased network segregation of a hyperarousal brain state modulated by insomnia

BACKGROUND

Insomnia is frequently accompanied by the generalized anxiety disorder (GAD) but mostly fMRI studies investigated their aberrant functional connectivity (FC) without this issue. Recently, dynamic FC approach is prevailing to capture the time-varying fluctuations of spontaneous brain activities. Nevertheless, it is unclear how the dynamic FC characteristics are altered by insomnia in GAD.

METHODS

We acquired resting state fMRI and neuropsychological tests for the 17 comorbid GAD with insomnia (GAD/IS), 15 GAD and 24 healthy controls (HC). Then, based on the sliding window correlations, we estimated distinct brain states and statistically compared their dynamic properties. Further combining with graph theory, their network properties of each state among groups were accessed. Lastly, we examined associations between abnormal parameters and neuropsychological tests.

RESULTS

We identified four brain states but did not observe significance on the state transitions. The mean dwell time and fraction of one globally hypoactive state accounted for high proportion of brain activities were significantly different (GAD > HC > GAD/IS). Meanwhile, we found gradual decreases in a brain state representing slight sleep/drowsiness (HC > GAD/IS > GAD). Additionally, we observed the GAD/IS patients had significantly increased network segregation and posterior cingulate cortex in a hyperarousal state, as well as significant associations with anxiety and insomnia severity.

LIMITATIONS

The influences of depression on dynamic FC properties in GAD are unclear yet and more subjects should be recruited.

CONCLUSIONS

These results provide new insights about the temporal features in GAD and offer potential biomarkers to evaluate the impacts of insomnia.

Acute and long-lasting effects of oxytocin in cortico-limbic circuits: consequences for fear recall and extinction

The extinction of conditioned fear responses entrains the formation of safe new memories to decrease those behavioral responses. The knowledge in neuronal mechanisms of extinction is fundamental in the treatment of anxiety and fear disorders. Interestingly, the use of pharmacological compounds that reduce anxiety and fear has been shown as a potent co-adjuvant in extinction therapy. However, the efficiency and mechanisms by which pharmacological compounds promote extinction of fear memories remains still largely unknown and would benefit from a validation based on functional neuronal circuits, and the neurotransmitters that modulate them. From this perspective, oxytocin receptor signaling, which has been shown in cortical and limbic areas to modulate numerous functions (Eliava et al. Neuron 89(6):1291-1304, 2016), among them fear and anxiety circuits, and to enhance the salience of social stimuli (Stoop Neuron 76(1):142-59, 2012), may offer an interesting perspective. Experiments in animals and humans suggest that oxytocin could be a promising pharmacological agent at adjusting memory consolidation to boost fear extinction. Additionally, it is possible that long-term changes in endogenous oxytocin signaling can also play a role in reducing expression of fear at different brain targets. In this review, we summarize the effects reported for oxytocin in cortico-limbic circuits and on fear behavior that are of relevance for the modulation and potential extinction of fear memories.

Predicting treatment outcome for anxiety disorders with or without comorbid depression using clinical, imaging and (epi)genetic data

PURPOSE OF REVIEW

The present review complements previous reviews on prediction research in anxiety disorders with a focus on clinical, imaging and genetic as well as epigenetic factors and aims to provide recommendations for the design of future integrative studies in adults as well as children.

RECENT FINDINGS

Clinical factors predicting worse outcome such as a diagnosis of social anxiety disorder, comorbid depression and certain cognitive, behavioral and personality traits as well as low socioeconomic status were confirmed in large clinical studies. Imaging factors focusing on the fear and anxiety network were repeatedly described as predicting therapy response in small exploratory studies. The plethora of candidate gene studies has now been complemented by large genome-wide association studies and small epigenetic investigations with the need for replication in larger samples.

SUMMARY

The present status of research on predictors for therapy response in anxiety disorders, in particular on imaging and genetic factors, is still fragmentary. Some clinical factors for poorer outcome, though, have been consistently replicated and should be considered in the revision of therapy guidelines. There is a definite need for large integrative studies at the national and international level integrating multiple levels of biomarkers at different stages of development.

An enriched granger causal model allowing variable static anatomical constraints

The anatomical connectivity constrains but does not fully determine functional connectivity, especially when one explores into the dynamics over the course of a trial. Therefore, an enriched granger causal model (GCM) integrated with anatomical prior information is proposed in this study, to describe the dynamic effective connectivity to distinguish the depression and explore the pathogenesis of depression. In the proposed frame, the anatomical information was converted via an optimized transformation model, which was then integrated into the normal GCM by variational bayesian model. Magnetoencephalography (MEG) signals and diffusion tensor imaging (DTI) of 24 depressive patients and 24 matched controls were utilized for performance comparison. Together with the sliding windowed MEG signals under sad facial stimuli, the enriched GCM was applied to calculate the regional-pair dynamic effective connectivity, which were repeatedly sifted via feature selection and fed into different classifiers. From the aspects of model errors and recognition accuracy rates, results supported the superiority of the enriched GCM with anatomical priors over the normal GCM. For the effective connectivity with anatomical priors, the best subject discrimination accuracy of SVM was 85.42% (the sensitivity was 87.50% and the specificity was 83.33%). Furthermore, discriminative feature analysis suggested that the enriched GCM that detect the variable anatomical constraint on function could better detect more stringent and less dynamic brain function in depression. The proposed approach is valuable in dynamic functional dysfunction exploration in depression and could be useful for depression recognition.

Predicting Treatment Response in Depression: The Role of Anterior Cingulate Cortex

Background

Identification of biomarkers predicting therapeutic outcome of antidepressant treatment is one of the most important tasks in current research because it may transform the lengthy process of finding the right treatment for a given individual with depression. In the current study, we explored the potential of pretreatment pregenual anterior cingulate cortex activity as a putative biomarker of treatment response.

Methods

Thirty-two medication-free patients with depression were treated for 6 weeks with a selective serotonin reuptake inhibitor, escitalopram. Before treatment began, patients underwent an fMRI scan testing response to brief, masked, presentations of facial expression depicting sadness and happiness.

Results

After 6 weeks of treatment, there were 20 selective serotonin reuptake inhibitor responders and 12 nonresponders. Increased pretreatment pregenual anterior cingulate cortex activity to sad vs happy faces was observed in responders relative to nonresponders. A leave-one-out analysis suggested that activity in the anterior cingulate cortex was able to predict response status at the level of the individual participant.

Conclusions

The study supports the notion of pregenual anterior cingulate cortex as a promising predictor of antidepressant response.

Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis

Cognitive behavioural therapy for psychosis (CBTp) involves helping patients to understand and reframe threatening appraisals of their psychotic experiences to reduce distress and increase functioning. Whilst CBTp is effective for many, it is not effective for all patients and the factors predicting a good outcome remain poorly understood. Machine learning is a powerful approach that allows new predictors to be identified in a data-driven way, which can inform understanding of the mechanisms underlying therapeutic interventions, and ultimately make predictions about symptom improvement at the individual patient level. Thirty-eight patients with a diagnosis of schizophrenia completed a social affect task during functional MRI. Multivariate pattern analysis assessed whether treatment response in those receiving CBTp (n = 22) could be predicted by pre-therapy neural responses to facial affect that was either threat-related (ambiguous ‘neutral’ faces perceived as threatening in psychosis, in addition to angry and fearful faces) or prosocial (happy faces). The models predicted improvement in psychotic (r = 0.63, p = 0.003) and affective (r = 0.31, p = 0.05) symptoms following CBTp, but not in the treatment-as-usual group (n = 16). Psychotic symptom improvement was predicted by neural responses to threat-related affect across sensorimotor and frontal-limbic regions, whereas affective symptom improvement was predicted by neural responses to fearful faces only as well as prosocial affect across sensorimotor and frontal regions. These findings suggest that CBTp most likely improves psychotic and affective symptoms in those endorsing more threatening appraisals and mood-congruent processing biases, respectively, which are explored and reframed as part of the therapy. This study improves our understanding of the neurobiology of treatment response and provides a foundation that will hopefully lead to greater precision and tailoring of the interventions offered to patients.

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Machine learning models using neuroimaging data can predict response to CBTp.

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Neural responses to social threat predicted improvement in psychotic symptoms.

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Activation related to different social stimuli predicted distinct symptom domains.

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Predictors included activity in the hippocampus, frontal, and sensorimotor regions.

Neuroimaging Predictors and Mechanisms of Treatment Response in Social Anxiety Disorder: an Overview of the Amygdala

PURPOSE OF REVIEW

Aberrant amygdala activity is implicated in the neurobiology of social anxiety disorder (SAD) and is, therefore, a treatment target. However, the extent to which amygdala predicts clinical improvement or is impacted by treatment has not been critically examined. This review highlights recent neuroimaging findings from clinical trials and research that test links between amygdala and mechanisms of action.

RECENT FINDINGS

Neuropredictor studies largely comprised psychotherapy where improvement was foretold by amygdala activity and regions beyond amygdala such as frontal structures (e.g., anterior cingulate cortex, medial prefrontal cortex) and areas involved in visual processes (e.g., occipital regions, superior temporal gyrus). Pre-treatment functional connectivity between amygdala and frontal areas was also shown to predict improvement signifying circuits that support emotion processing and regulation interact with treatment. Pre-to-post studies revealed decreases in amygdala response and altered functional connectivity in amygdala pathways regardless of treatment modality. In analogue studies of fear exposure, greater reduction in anxiety was predicted by less amygdala response to a speech challenge and amygdala activity decreased following exposures. Yet, studies have also failed to detect amygdala effects reporting instead treatment-related changes in regions and functional systems that support sensory, emotion, and regulation processes. An array of regions in the corticolimbic subcircuits and extrastriate cortex appear to be viable sites of action. The amygdala and amygdala pathways predict treatment outcome and are altered following treatment. However, further study is needed to establish the role of the amygdala and other candidate regions and brain circuits as sites of action.

Trait attentional control modulates neurofunctional response to threat distractors in anxiety and depression

Accumulating data suggest attentional control capability varies across psychiatric diagnostic boundaries. The Attentional Control Scale (ACS) assesses self-reported trait attentional control (TAC) and tracks the anterior attention system. Greater TAC is associated with less negative affect, however, its mechanisms in anxiety and depression are poorly understood. Therefore, we examined whether individual differences in TAC modulated top-down mechanisms in a clinical sample. During fMRI, 104 patients with social anxiety, generalized anxiety, and/or major depression and 34 healthy participants completed a validated attentional control paradigm comprising strings of letters superimposed on threatening and neutral face distractors. In the low perceptual load condition, a target letter was in a string of identical letters. In the high load condition, a target letter was in a mixed letter string. Whole-brain regression results for low load revealed more activation to threat (vs. neutral) distractors in the pregenual anterior cingulate cortex was predicted by better TAC (i.e., higher ACS scores). For high load, regression results showed less activation to threat (vs. neutral) distractors in the inferior frontal gyrus was predicted by better TAC. An exploratory whole-brain ANOVA revealed a main effect of group in the superior temporal gyrus and a main effect of perceptual load in parietal, frontal, and limbic regions. No other effects were detected and activation derived from significant ANOVA results did not correlate with ACS scores. In conclusion, regression findings suggest individual differences in brain-behavioral ACS-related activity in frontal structures may be useful in identifying phenotypes in internalizing conditions.

Pathways to Neuroprediction: Opportunities and challenges to prediction of treatment response in depression

PURPOSE OF REVIEW

We set out to review the current state of science in neuroprediction, using biological measures of brain function, with task based fMRI to prospectively predict response to a variety of treatments.

RECENT FINDINGS

Task-based fMRI neuroprediction studies are balanced between whole brain and ROI specific analyses. The predominant tasks are emotion processing, with ROIs based upon amygdala and subgenual anterior cingulate gyrus, both within the salience and emotion network. A rapidly emerging new area of neuroprediction is of disease course and illness recurrence. Concerns include use of open-label and single arm studies, lack of consideration of placebo effects, unbalanced adjustments for multiple comparisons (over focus on type I error), small sample sizes, unreported effect sizes, overreliance on ROI studies.

SUMMARY

There is a need to adjust neuroprediction study reporting so that greater coherence can facilitate meta analyses, and increased funding for more multiarm studies in neuroprediction.

Distinct neural engagement during implicit and explicit regulation of negative stimuli

Neuroimaging research has characterized underlying neural mechanisms of attentional control and cognitive reappraisal, common implicit and explicit forms of emotion regulation, respectively. This research suggests attentional control and reappraisal may engage similar midline and lateral areas in the prefrontal cortex (PFC); however, findings are largely based on separate studies. Therefore, the extent to which mechanisms of implicit versus explicit regulation are independent or overlapping is not clear. In the current study, 49 healthy participants completed well-validated implicit and explicit regulation tasks in the form of attentional control and cognitive reappraisal during functional magnetic resonance imaging. During implicit regulation, participants identified a target letter in a string of letters superimposed on threatening faces. To manipulate attentional control, the letter string either consisted of all targets ('Threat Low' perceptual load), or was embedded among non-target letters ('Threat High' perceptual load). During cognitive reappraisal, participants were shown aversive images and instructed to use a cognitive approach to down-regulate negative affect ('Reappraise') or to naturally experience emotions without altering them ('Look-Negative'). Order of administration of tasks was counterbalanced across participants. Whole-brain results regarding frontal activity showed ventromedial PFC/rostral anterior cingulate cortex was recruited during Threat Low > Threat High. In contrast, Reappraise > Look-Negative resulted in engagement of the dorsolateral PFC, ventrolateral PFC and dorsomedial PFC. In addition, results showed no relationship between accuracy during attentional control and self-reported negative affect during cognitive reappraisal. Results indicate attentional control in the context of threat distractors and the reappraisal of negative images are supported by discrete, non-overlapping neurocircuitries.

The role of prefrontal-subcortical circuitry in negative bias in anxiety: Translational, developmental and treatment perspectives

Anxiety disorders are the most common cause of mental ill health in the developed world, but our understanding of symptoms and treatments is not presently grounded in knowledge of the underlying neurobiological mechanisms. In this review, we discuss accumulating work that points to a role for prefrontal-subcortical brain circuitry in driving a core psychological symptom of anxiety disorders - negative affective bias. Specifically, we point to converging work across humans and animal models, suggesting a reciprocal relationship between dorsal and ventral prefrontal-amygdala circuits in promoting and inhibiting negative bias, respectively. We discuss how the developmental trajectory of these circuits may lead to the onset of anxiety during adolescence and, moreover, how effective pharmacological and psychological treatments may serve to shift the balance of activity within this circuitry to ameliorate negative bias symptoms. Together, these findings may bring us closer to a mechanistic, neurobiological understanding of anxiety disorders and their treatment.