Liebowitz Social Anxiety Scale (LSAS): Optimal cut points for remission and response in a German sample

Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT

Objective

Predicting who will not benefit enough from Internet-Based Cognitive Behavioral (ICBT) Therapy early on can assist in better allocation of limited mental health care resources. Repeated measures of symptoms during treatment is the strongest predictor of outcome, and we want to investigate if methods that explicitly account for time-dependency are superior to methods that do not, with data from (a) only two pre-treatment timepoints and (b) the pre-treatment timepoints and three timepoints during initial treatment.

Methods

We use 1) commonly used time-independent methods (i.e., Linear Regression and Random Forest models) and 2) time-dependent methods (i.e., multilevel model regression, mixed-effects random forest, and a Long Short-Term Memory model) to predict symptoms during treatment, including the final outcome. This is done with symptom scores from 6436 ICBT patients from regular care, using robust multiple imputation and nested cross-validation methods.

Results

The models had a 14 %-12 % root mean squared error (RMSE) in predicting the post-treatment outcome, corresponding to a balanced accuracy of 67-74 %. Time-dependent models did not have higher accuracies. Using data for the initial treatment period (b) instead of only from before treatment (a) increased prediction results by 1.3 % percentage points (12 % to 10.7 %) RMSE and 6 % percentage points BACC (69 % to 75 %).

Conclusion

Training prediction models on only symptom scores of the first few weeks is a promising avenue for symptom predictions in treatment, regardless of which model is used. Further research is necessary to better understand the interaction between model complexity, dataset length and width, and the prediction tasks at hand.

Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy

BACKGROUND

While psychological treatments are effective, a substantial portion of patients do not benefit enough. Early identification of those may allow for adaptive treatment strategies and improved outcomes. We aimed to evaluate the clinical usefulness of machine-learning (ML) models predicting outcomes in Internet-based Cognitive Behavioural Therapy, to compare ML-related methodological choices, and guide future use of these.

METHODS

Eighty main models were compared. Baseline variables, weekly symptoms, and treatment activity were used to predict treatment outcomes in a dataset of 6695 patients from regular care.

RESULTS

We show that the best models use handpicked predictors and impute missing data. No ML algorithm shows clear superiority. They have a mean balanced accuracy of 78.1% at treatment week four, closely matched by regression (77.8%).

CONCLUSIONS

ML surpasses the benchmark for clinical usefulness (67%). Advanced and simple models perform equally, indicating a need for more data or smarter methodological designs to confirm advantages of ML.

Group schema therapy versus group cognitive behavioral therapy for patients with social anxiety disorder and comorbid avoidant personality disorder: A randomized controlled trial

BACKGROUND

Patients with social anxiety (SAD) and comorbid avoidant personality disorder (AVPD) are severely impaired. Group cognitive behavioral therapy (GCBT) is considered an effective treatment for SAD. More knowledge on treatment of SAD with comorbid AVPD is needed. Schema therapy, developed for personality and chronic mental disorders, may be a promising treatment.

METHODS

We conducted a randomized controlled trial in an outpatient population (n = 154) with both SAD and AVPD. Group Schema Therapy (GST) and GCBT were compared on SAD symptoms (Liebowitz Social Anxiety Scale) and manifestations of AVPD (Avoidant Personality Disorder Severity Index).

RESULTS

Intention-to-treat analysis showed no significant differences between treatments at 3 months post-treatment and one-year follow-up. Both modalities led to significant and substantial improvements. No significant between-differences were found in depressive symptoms (Inventory of Depressive Symptoms) and quality of life (World Health Organization Quality of Life-BREF). Per-protocol analysis showed similar outcomes and no significant differences in recovery from SAD and AVPD. Significantly more patients completed GST.

CONCLUSION

GST and GCBT are valuable treatments for SAD with comorbid AVPD. The higher treatment retention in ST indicates ST is more acceptable than GCBT. Future studies should focus on enhancing treatment effects and improving retention to GCBT.

Guided and unguided internet-delivered psychodynamic therapy for social anxiety disorder: A randomized controlled trial

Social Anxiety Disorder (SAD) is highly prevalent and debilitating disorder. Treatments exist but are not accessible and/or helpful for all patients, indicating a need for accessible treatment alternatives. The aim of the present trial was to evaluate internet-delivered psychodynamic therapy (IPDT) with and without therapist guidance, compared to a waitlist control condition, in the treatment of adults with SAD. In this randomized, clinical trial, we tested whether IPDT was superior to a waitlist control, and whether IPDT with therapeutic guidance was superior to unguided IPDT. Participants were recruited nationwide in Sweden. Eligible participants were ≥ 18 years old and scoring ≥ 60 on the Liebowitz Social Anxiety Scale self-report (LSAS-SR) whilst not fulfilling any of the exclusion criteria. Included participants were randomly assigned to IPDT with guidance (n = 60), IPDT without guidance (n = 61), or waitlist (n = 60). The IPDT intervention comprised eight self-help modules based on affect-focused dynamic therapy, delivered over 8 weeks on a secure online platform. The primary outcome was SAD symptoms severity measured weekly by the LSAS-SR. Primary analyses were calculated on an intention-to-treat sample including all participants randomly assigned. Secondary outcomes were depressive symptoms, generalized anxiety, quality of life, emotion regulation and defensive functioning. At post-treatment, both active treatments were superior to the waitlist condition with guided treatment exhibiting larger between group effects than unguided treatment (d = 1.07 95% CI [0.72, 1.43], p < .001 and d = 0.61, 95% CI [0.25, 0.98], p = .0018) on the LSAS-SR respectively. Guided IPDT lead to larger improvements than unguided IPDT (d = 0.46, 95% CI [0.11, 0.80], p < .01). At post-treatment, guided IPDT was superior to waitlist on all secondary outcome measures. Unguided IPDT was superior to waitlist on depressive symptoms and general anxiety, but not on emotion regulation, self-compassion or quality of life. Guided IPDT was superior to unguided PDT on depressive symptoms, with a trend towards superiority on a measure of generalized anxiety. At six and twelve month follow-up there were no significant differences between guided and unguided IPDT. In conclusion, IPDT shows promising effects in the treatment of SAD, with larger benefits from guided IPDT compared to non-guided, at least at post-treatment. This finding increases the range of accessible and effective treatment alternatives for adults suffering from SAD. The study was prospectively registered at ClinicalTrials (NCT05015166).

The Bergen 4-day treatment for social anxiety disorder: a pilot study

BACKGROUND

Few studies have examined the use of concentrated and intensified cognitive behaviour therapy for treating social anxiety disorder (SAD). The aim of this study was to examine the feasibility of the Bergen 4-Day Treatment (B4DT) for treating SAD.

METHODS

This study adopted an open trial design without a control group. Thirty consecutively referred patients who were diagnosed with SAD were treated and assessed at pre-treatment, at post-treatment, and at the 3-month follow-up. The Liebowitz Social Anxiety Scale was used to assess symptoms of SAD; the Generalized Anxiety Disorder-7 scale was used to assess anxiety symptoms; and the Patient Health Questionnaire-9 was used to assess symptoms of anxiety and depression. The Client Satisfaction Questionnaire-8 was administered posttreatment.

RESULTS

Overall, patients reported a high level of satisfaction with the B4DT. Large effect sizes were observed for symptoms of SAD (d = 1.94-2.66) and for the secondary outcomes, i.e., generalized anxiety (d = 0.86-0.99) and depression (d = 0.62-0.83). The remission rate was 55.2% at follow-up, while the treatment response rate was 89.7%.

CONCLUSIONS

The B4DT is a promising treatment approach for patients with SAD. In the future, controlled trials should be performed to compare the efficacy of this treatment approach with standard outpatient treatment. Practical consequences, policy implications, and suggestions for future research are discussed herein.

Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions

Objective

This study proposes a way of increasing dataset sizes for machine learning tasks in Internet-based Cognitive Behavioral Therapy through pooling interventions. To this end, it (1) examines similarities in user behavior and symptom data among online interventions for patients with depression, social anxiety, and panic disorder and (2) explores whether these similarities suffice to allow for pooling the data together, resulting in more training data when prediction intervention dropout.

Methods

A total of 6418 routine care patients from the Internet Psychiatry in Stockholm are analyzed using (1) clustering and (2) dropout prediction models. For the latter, prediction models trained on each individual intervention's data are compared to those trained on all three interventions pooled into one dataset. To investigate if results vary with dataset size, the prediction is repeated using small and medium dataset sizes.

Results

The clustering analysis identified three distinct groups that are almost equally spread across interventions and are instead characterized by different activity levels. In eight out of nine settings investigated, pooling the data improves prediction results compared to models trained on a single intervention dataset. It is further confirmed that models trained on small datasets are more likely to overestimate prediction results.

Conclusion

The study reveals similar patterns of patients with depression, social anxiety, and panic disorder regarding online activity and intervention dropout. As such, this work offers pooling different interventions' data as a possible approach to counter the problem of small dataset sizes in psychological research.

After one year in university; a robust decrease in autistic traits reporting among autistic students

Background

Previous research on autistic students enrolled in university support programs has reported moderate improvement in anxiety/depression or adaptive behavior. However, alterations in autistic traits have not been examined.

Methods

This longitudinal study evaluated changes in university students' autistic trait and state/trait anxiety levels. Participants were 24 neurotypically developed (ND) students with high levels of social anxiety symptoms (High SA), 30 ND students with low levels of SA symptoms (Low SA), and 41 autistic students (the primary focus of this study) residing with an ND peer student mentor as part of participating in the university's integration support program. Autism spectrum quotient [AQ and State Trait Anxiety Inventory STAI] data were collected during the first semester of two consecutive academic years (T1, T2), as well as baseline (T1) levels of social anxiety, depression, and obsessive-compulsive symptoms.

Results

Significant interaction between group and time was observed, denoting a sharp decrease (2.9 SD) from T1 to T2 in the overall autistic trait level among the autistic group (AQ "attention switching" subscale demonstrating the most robust decrease), and a moderate decrease (0.5 SD) among the high SA group. Only for the autistic students were more compulsive symptoms at T1 associated with a lesser decrease in AQ scores (T1-T2), which in turn was negatively correlated with their T1 year-end grade point average.

Conclusion

The findings suggest that attending post-secondary education (while partaking in a support/transition program) is followed by a profound change of the individual's subjective experience of autism, characterized by a sharp decline in the level of autistic traits, particularly attention switching. This change is independent of alterations in well-being indices, such as anxiety, that are known to characterize students attending university.

Memory representation of aversive social experiences in Social Anxiety Disorder

Aversive social experiences are proposed to be a risk factor for developing Social Anxiety Disorder (SAD). Many patients with SAD report associated daily life symptoms, such as intrusive re-experiencing (e.g., negatively distorted images of oneself), avoidance, alterations in cognitions and mood, as well as hyperarousal, resembling symptom dimensions of Posttraumatic Stress Disorder (PTSD). These PTSD-like symptoms may result from maladaptive processing and representation of the aversive social experiences in memory. Emotional hyperreactivity during memory retrieval of aversive social experiences is another feature of SAD which was found in previous studies. This study aimed to further investigate PTSD-like symptoms and emotional reactivity associated with etiologically relevant aversive social experiences and shed more light on a potential relationship between both. Eighty-five patients with SAD and 85 healthy controls (HC) participated in this cross-sectional study. It comprised an imagination task with self-report and physiological measures to assess emotional reactivity during the cued recall of the aversive social experience and clinical interviews to assess PTSD-like symptoms. We expected increased emotional reactivity and more severe PTSD-like symptoms in response to the aversive social experience in patients with SAD compared to HC, as well as a positive correlation between emotional reactivity and PTSD-like symptoms in patients with SAD. Indeed, patients with SAD showed emotional hyperreactivity (self-report, physiology) during the cued recall of the aversive social experiences, also when compared to two control memory conditions (neutral, negative non-social) and HC. Patients with SAD furthermore reported more severe PTSD-like symptoms compared to HC and intrusive re-experiencing symptoms were positively correlated with distress during imagery of the social aversive event in patients with SAD. These results might point toward a maladaptive representation of aversive social experiences in memory. Similar to PTSD, this maladaptive memory representation might promote the development of PTSD-like symptoms such as intrusive re-experiencing (e.g., in the form of intrusive self-images in patients with SAD), which might finally lead to and maintain symptoms of SAD.

Evaluation of a smartphone application for self-help for patients with social anxiety disorder: a randomized controlled study-SMASH

BACKGROUND

There is growing evidence that Internet-based cognitive behavioral therapy (ICBT) is as effective as a stand-alone treatment and helps facilitating access to treatment. Given the complexity of the treatment, we argue that the effect of ICBT could be even greater if guided by a therapist, as this could increase treatment adherence. We modified an established and well-evaluated treatment approach and developed a mobile application for treating social anxiety disorder (SAD). In the present study, we compare the efficacy of app use alone (APP) with video-based, therapist-guided app use (TG-APP) and with a wait-list control group (WLC) in terms of symptom reduction, and various secondary outcomes such as increase in quality of life or decrease of general psychological distress.

METHODS/DESIGN

A within-between interaction design with randomization to one of three conditions will be used. In the APP condition, patients receive only the app without any additional contact with therapists, while in the TG-APP condition, therapists provide 8 sessions of video-based treatment in addition to using the app. The study will be conducted in two university outpatient treatment centers with reliably diagnosed SAD patients. The primary outcome will be defined as change in SAD symptoms, as measured by the Liebowitz Social Anxiety Scale (expert rating). Furthermore, a wide range of self-reports and clinician ratings for other symptoms (depression, general psychopathology) or quality of life will be used. A simulation-based power analysis for a 3 × 2 interaction effect (group × time) on the primary outcome in a linear mixed model resulted in a total sample size of N = 165.

DISCUSSION

The present study will be one of the first to examine the additional benefit of therapist-guided video sessions regarding the use of an app treating SAD. Study results are pivotal to future treatment application in SAD.

Effectiveness and safety of Tai Chi for anxiety disorder of COVID-19: A protocol of systematic review and meta-analysis

BACKGROUND

Anxiety disorders pose a significant threat to the clinical rehabilitation of patients with coronavirus disease 2019 (COVID-19). Tai Chi is a therapeutic exercise that can be used to treat anxiety disorders. We aim to conduct a systematic review and meta-analysis to evaluate the effectiveness and safety of Tai Chi for treating patients with anxiety disorders caused by COVID-19.

METHODS

The PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Chinese Biomedical Literature, Wan Fang, and Chinese Clinical Trial Registry databases will be searched for reports of randomized controlled trials on Tai Chi for the treatment of anxiety disorders caused by COVID-19, published from December 1, 2019, to August 22, 2022. Two researchers will screen the articles and extract the relevant information.

RESULTS

The results will provide a systematic overview of the current evidence on the use of Tai Chi to treat anxiety disorders caused by COVID-19 among patients.

CONCLUSION

The conclusions of this study will help clarify whether Tai Chi is effective and safe for treating anxiety disorders caused by COVID-19.

Adaptive behavior and psychiatric symptoms in university students with ASD: One-year longitudinal study

In recent years, more young adults with ASD are attending post-secondary education, and several support programs have been proposed for this population. However, research regarding the long-term effects of university enrollment on outcomes among students with ASD is scarce. This study examined adaptive behavior and psychiatric symptoms during the first semester of two consecutive academic years (T1, T2) among 39 students with ASD, 29 students without ASD and high levels of social anxiety symptoms (High SA), and 32 students without ASD and low levels of SA symptoms (Low SA). Students with ASD participated in a university support program and resided with a peer mentor student without ASD, which encouraged social interaction. At T1, students with ASD reported lower levels of adaptive behavior and higher levels of social anxiety and obsessive-compulsive symptoms compared to the other groups. However, at follow-up (T2), significantly higher conceptual adaptive skill levels (specifically communication skills) and significantly lower depression symptom levels from T1 were reported only among students with ASD. The levels of social anxiety and obsessive-compulsive symptoms at T1 were negatively associated with adaptive functioning a year later (T2). Implications regarding adults with ASD attending university are discussed.

Two-year longitudinal case study of intensive exposure treatment in an adolescent girl with social anxiety disorder

The purpose was to adapt the "Bergen 4-Day Treatment" for severe social anxiety disorder and to study the 28 months follow-up effects for a 16-year-old girl. It was delivered over three full days. At post-treatment, 48% reduction in symptoms, she no longer met the diagnostic criteria for SAD.

Neural correlates of attentional control in social anxiety disorder: the impact of early-life adversity and DNA methylation

BACKGROUND

Social anxiety disorder is characterized by intense fear and avoidance of social interactions and scrutiny by others. Although alterations in attentional control seem to play a central role in the psychopathology of social anxiety disorder, the neural underpinnings in prefrontal brain regions have not yet been fully clarified.

METHODS

The present study used functional MRI in participants (age 18-50 yr) with social anxiety disorder (n = 42, 31 female) and without (n = 58, 33 female). It investigated the interrelation of the effects of social anxiety disorder and early-life adversity (a main environmental risk factor of social anxiety disorder) on brain activity during an attentional control task. We applied DNA methylation analysis to determine whether epigenetic modulation in the gene encoding the glucocorticoid receptor, NR3C1, might play a mediating role in this process.

RESULTS

We identified 2 brain regions in the left and medial prefrontal cortex that exhibited an interaction effect of social anxiety disorder and early-life adversity. In participants with low levels of early-life adversity, neural activity in response to disorder-related stimuli was increased in association with social anxiety disorder. In participants with high levels of early-life adversity, neural activity was increased only in participants without social anxiety disorder. NR3C1 DNA methylation partly mediated the effect of social anxiety disorder on brain activity as a function of early-life adversity.

LIMITATIONS

The absence of behavioural correlates associated with social anxiety disorder limited functional interpretation of the results.

CONCLUSION

These findings demonstrate that the neurobiological processes that underlie social anxiety disorder might be fundamentally different depending on experiences of early-life adversity. Long-lasting effects of early-life adversity might be encoded in NR3C1 DNA methylation and entail alterations in social anxiety disorder-related activity patterns in the neural network of attentional control.

Does treatment preference affect outcome in a randomized trial of a mindfulness intervention versus cognitive behaviour therapy for social anxiety disorder?

Research suggests that treatment preference may affect outcome of randomized clinical trials, but few studies have assessed treatment preference in trials comparing different types of psychosocial interventions. This study used secondary data analysis to evaluate the impact of treatment preference in a randomized trial of a mindfulness-based intervention adapted for social anxiety disorder (MBI-SAD) versus cognitive behaviour group therapy (CBGT). Ninety-seven participants who met DSM-5 criteria for SAD were randomized. Prior to randomization, twice as many participants expressed a preference for the MBI-SAD over CBGT. However, being allocated or not to one's preferred treatment had no impact on treatment response. Additionally, with the exception of perception of treatment credibility, treatment matching had no impact on treatment-related variables, including treatment initiation, session attendance, homework compliance, satisfaction with treatment and perception that treatment met expectations. In sum, despite the greater preference for the mindfulness intervention in this sample of participants with SAD, we found little evidence of preference effects on our study outcomes. Findings should be viewed as preliminary and require replication.

Hand movements that change during psychotherapy and their relation to therapeutic outcome: An analysis of individual and simultaneous movements

Hands are, compared to other body parts, the body parts that display the most gestural movements during an interaction and their movement is sensitive to reveal anxiety states. However, psychotherapy research focuses on movement synchrony of different body parts to be an indicator of improved symptoms. The present study investigates symptoms in social anxiety disorder and considers both, individual and simultaneous hand movements. 56 video recordings of 28 patient-therapist dyads with patients with social anxiety at the beginning and in the end of psychotherapy were analyzed. Two independent blind certified raters analyzed the hand movement behavior using the NEUROGES^® analysis system for nonverbal behavior concerning individual movement units and the simultaneous overlaps between the patients' and therapists' movement units. Simultaneous overlap change negatively correlated with symptoms (LSAS week eight-measurement, r = -.52; and week 15-measurement, r = -.52; BDI pre-measurement, r = -.54). The patients' right hand movement at the end of the psychotherapy correlated significantly with therapeutic alliance (HAQ post-measurement; r = .55). Hand movement behavior analysis should be considered in psychotherapy research in combination with movement synchrony as a measurement parameter related to therapeutic process and outcome. Enriching previous findings, this study indicates that simultaneous movement change is related to symptoms and therefore a process-sensitive parameter in psychotherapy.

Effectiveness and safety of acupuncture for anxiety disorder of coronavirus disease 2019: A protocol of systematic review and meta-analysis

BACKGROUND

Anxiety disorder places a heavy burden in the clinical treatment of patients of COVID-19. Acupuncture is a recommended treatment of COVID-19 in China, and clinical researches showed the effectiveness of acupuncture. We will conduct this systematic review and meta-analysis to assess the effectiveness and safety of acupuncture for COVID-19.

METHODS

Electronic databases of Medline, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Biomedical literature Database (CBM), Chinese Scientific and Journal Database (VIP), and Wan Fang database (Wanfang) will be searched for randomized controlled trials of acupuncture for anxiety disorder of COVID-19 from inception of the database to August 10, 2020. Two reviewers will screen studies, collect information independently. We will utilize RevMan 5.3 for meta-analysis.

RESULTS

We will publish the study result to a peer-reviewed journal.

CONCLUSION

This study will contribute to provide high-quality evidence of acupuncture for anxiety disorder of COVID-19.

The Gap Between Cognition and Adaptive Behavior in Students with Autism Spectrum Disorder: Implications for Social Anxiety and the Moderating Effect of Autism Traits

The gap between cognitive ability and adaptive behavior has been thought to enhance psychopathology among people with autism, particularly among those without intellectual disability. We examined this association by exploring the gap between cognitive understanding of social behavior and socially adaptive behavior, and its impact on social anxiety symptoms, obsessive-compulsive symptoms, and depressive symptoms, among 53 university students with autism (without intellectual disability). A higher cognition-social adaptation discrepancy was associated with more social anxiety, but this effect was moderated by autistic trait (AT) levels; a greater gap was associated with more avoidance symptoms of social anxiety only among students with high AT. Cognitive flexibility and prosocial behavior may mitigate the effects of AT. Potential implications and interventions are discussed.

Fidgeting Behavior During Psychotherapy: Hand Movement Structure Contains Information About Depressive Symptoms

Fidgeting may be a motor sign reflecting self-regulation processes in patients with social anxiety disorder (SAD) and depressive patients. Since SAD co-occurs with comorbid depression, the question arises whether fidgeting is a disorder-unspecific phenomenon or a specific and therefore diagnostically relevant sign of depression. 33 SAD patients with (n = 12) and without (n = 21) depression from the Social Phobia Psychotherapy Research Network project were compared regarding their nonverbal behavior. Four video sequences of a psychotherapy session with each patient were analyzed using a standardized system for the analysis of nonverbal behavior by two independent, certified, blind raters. SAD patients with comorbid depression exhibited significantly more (number/minute) irregular movements, but fewer (number/minute) repetitive movements than SAD patients without depression. Irregular movements, which reflect less structured motor behavior, are associated with comorbid depression in SAD. In contrast, in SAD without depression, more structured repetitive movements were prominent. Thus, irregular movements represent a diagnostically relevant behavior for comorbid depression among SAD patients.

Development and use of a clinical decision support system for the diagnosis of social anxiety disorder

BACKGROUND

Mental disorders, according to the definition of World Health Organization, consist of a wide range of signs, which are generally specified by a combination of unusual thoughts, feelings, behavior, and relationships with others. Social anxiety disorder (SAD) is one of the most prevalent mental disorders, described as permanent and severe fear or feeling of embarrassment in social situations. Considering the imprecise nature of SAD symptoms, the main objective of this study was to generate an intelligent decision support system for SAD diagnosis, using Adaptive neuro-fuzzy inference system (ANFIS) technique and to conduct an evaluation method, using sensitivity, specificity and accuracy metrics.

METHOD

In this study, a real-world dataset with the sample size of 214 was selected and used to generate the model. The method comprised a multi-stage procedure named preprocessing, classification, and evaluation. The preprocessing stage, itself, consists of three steps called normalization, feature selection, and anomaly detection, using the Self-Organizing Map (SOM) clustering method. The ANFIS technique with 5-fold cross-validation was used for the classification of social anxiety disorder.

RESULTS AND CONCLUSION

The preprocessed dataset with seven input features were used to train the ANFIS model. The hybrid optimization learning algorithm and 41 epochs were used as optimal learning parameters. The accuracy, sensitivity, and specificity metrics were reported 98.67%, 97.14%, and 100%, respectively. The results revealed that the proposed model was quite appropriate for SAD diagnosis and in line with findings of other studies. Further research study addressing the design of a decision support system for diagnosing the severity of SAD is recommended.

Understanding visual attention to face emotions in social anxiety using hidden Markov models

Theoretical models propose that attentional biases might account for the maintenance of social anxiety symptoms. However, previous eye-tracking studies have yielded mixed results. One explanation is that existing studies quantify eye-movements using arbitrary, experimenter-defined criteria such as time segments and regions of interests that do not capture the dynamic nature of overt visual attention. The current study adopted the Eye Movement analysis with Hidden Markov Models (EMHMM) approach for eye-movement analysis, a machine-learning, data-driven approach that can cluster people's eye-movements into different strategy groups. Sixty participants high and low in self-reported social anxiety symptoms viewed angry and neutral faces in a free-viewing task while their eye-movements were recorded. EMHMM analyses revealed novel associations between eye-movement patterns and social anxiety symptoms that were not evident with standard analytical approaches. Participants who adopted the same face-viewing strategy when viewing both angry and neutral faces showed higher social anxiety symptoms than those who transitioned between strategies when viewing angry versus neutral faces. EMHMM can offer novel insights into psychopathology-related attention processes.

Imagery Rescripting and Exposure in Social Anxiety: A Randomized Trial Comparing Treatment Techniques

This randomized trial compared the effects of imagery rescripting against in vivo exposure administered separately during a single session with 27 socially anxious individuals. Previous research shows that imagery rescripting is a promising treatment technique for various disorders including social anxiety, although imagery rescripting and exposure for social anxiety have not yet been compared. Social anxiety self-report measures (LSAS-SR and BFNE-II); the distress, vividness, and frequency of fear images (i.e., Imagery condition); and the levels of anxiety, avoidance, and the strength of convictions of a feared social situation (i.e., exposure condition) were rated at baseline, before treatment, and after a 2- and 4-week follow up period. Both treatment groups improved significantly on all measures pre- to post treatment and the effects largely remained at the 4-week follow-up. No significant differences between the treatment groups were found on the anxiety measures. The results suggest that either a single session of imagery rescripting or of exposure are effective in reducing social anxiety, and that both treatment techniques, even when administered in a single session, reduces social anxiety.

Diametrically opposed associations between academic achievement and social anxiety among university students with and without autism spectrum disorder

Research findings indicate that anxiety, social anxiety in particular, is the most common experience reported by individuals with autism spectrum disorder (ASD) attending postsecondary education. Among students without ASD, higher levels of social anxiety have been postulated to correlate with impaired academic achievement; restriction of one's social network because of anxiety is thought to lead to reduction of access to resources important for learning such as social/emotional support and collaborative learning. However, despite growing interest in the outcomes of young students with ASD, no research has studied the associations between academic achievement and anxiety among students with ASD. This study examined the association between social anxiety and grade point average (GPA) among university students: 55 diagnosed with ASD, 31 without ASD but high levels of social anxiety, and 25 without ASD and with low levels of social anxiety (controls). GPAs were significantly lower for the ASD group than for the two non-ASD groups. Among students without ASD, a negative correlation between social anxiety and grades was observed whereas the reverse pattern was found for the ASD group, meaning that for students with ASD, higher levels of social anxiety were associated with higher grades. Additionally, in a regression analysis, ASD diagnosis, social anxiety, and the interaction of group × social anxiety significantly predicted GPA. Possible explanations for this finding, as well as implications for interventions among this population of high-functioning students with ASD, are discussed. Autism Res 2019, 12: 1376-1385. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study compared the relationship between levels of social anxiety and grades in students with autism spectrum disorder (ASD) and in students without ASD who had either high social anxiety or low social anxiety (controls). Among the group with ASD, higher levels of social anxiety were associated with higher grades, whereas the reverse pattern was found among the other groups. This finding's implications for interventions among students with ASD are discussed.

Social Conformity in Autism

Humans are extremely susceptible to social influence. Here, we examine whether this susceptibility is altered in autism, a condition characterized by social difficulties. Autistic participants (N = 22) and neurotypical controls (N = 22) completed a memory test of previously seen words and were then exposed to answers supposedly given by four other individuals. Autistic individuals and controls were as likely to alter their judgements to align with inaccurate responses of group members. These changes reflected both temporary judgement changes (public conformity) and long-lasting memory changes (private conformity). Both groups were more susceptible to answers believed to be from other humans than from computer algorithms. Our results suggest that autistic individuals and controls are equally susceptible to social influence when reporting their memories.