Maladaptive self-focused attention and default mode network connectivity: a transdiagnostic investigation across social anxiety and body dysmorphic disorders

Epidemiology of Body Dysmorphic Disorder and Appearance Preoccupation in Youth: Prevalence, Comorbidity and Psychosocial Impairment

OBJECTIVE

Little is known about how common and impairing body dysmorphic disorder (BDD) is in the general population of youth. We evaluated the prevalence, comorbidity, and psychosocial impairment associated with BDD and more broadly defined appearance preoccupation in young people.

METHOD

Data were drawn from the 2017 Mental Health of Children and Young People in England survey. BDD and psychiatric comorbidity were assessed in individuals 5 to 19 years of age (N = 7,654) according to DSM-5 criteria, using a clinician-rated standardized diagnostic assessment. Psychosocial impairment was measured with a quantitative scale and was indexed by reported self-harm and suicide attempts, as well as service use, assessed using structured interviews.

RESULTS

The point prevalence of BDD was 1.0% (95% CI = 0.8%-1.3%). BDD was significantly more common among adolescents than children (1.9 vs 0.1%; OR = 22.5, p < .001), and among female than male participants (1.8% vs 0.3%; OR = 7.3, p < .001). Approximately 70% of young people with BDD had psychiatric comorbidity, most commonly internalizing disorders. BDD was associated with self- and parent-reported psychosocial impairment, self-harm and suicide attempts, and service utilization. Appearance preoccupation was more common than full-syndrome BDD, but showed similar age and sex effects, patterns of comorbidity, and associated impairment.

CONCLUSION

BDD and appearance preoccupation are relatively common, especially among adolescent girls, and are associated with substantial co-occurring psychopathology, impairment, and risk. Improved screening is needed to increase detection and diagnosis of BDD, and to facilitate access to evidence-based treatment.

STUDY PREREGISTRATION INFORMATION

The epidemiology of body dysmorphic disorder the youth: prevalence, comorbidity and psychosocial impact; https://osf.io/g83jy.

Clinical characteristics among sexual minority and heterosexual women with body dysmorphic disorder

Body dysmorphic disorder (BDD) is a common disorder associated with substantial comorbidity, impairment, and poor quality of life. Research on subcultural variations of BDD is limited but may impact assessment and treatment of the disorder. The current study examined clinical features in a sample of sexual minority (SM; n = 43) and heterosexual (n = 155) women with diagnosed BDD. Participants completed self-report and clinician-administered measures of demographic and clinical characteristics. Results indicated largely similar clinical features across groups with some exceptions: compared to non-SM women, SM women were younger (M = 25.50 vs 31.96 years, p < .001), had better BDD-related insight (M = 14.51 vs 16.26, p = .01), endorsed a greater number of disliked body parts, and were more likely to express preoccupation with body build (OR = 4.6, 95% CI [2.0, 10.9]), chin/jaw (OR = 4.7, 95% CI [2.1, 10.3]), and shoulders (OR = 10.1, 95% CI [2.7, 37.9]), possibly reflecting nuanced beauty ideals within the SM community. There were no significant group differences in other body parts of concern, BDD severity, or depression. Future studies are needed in larger, more inclusive samples to explore the relationship between diverse identities on BDD and its associated features.

Self-focused brain predictors of cognitive behavioral therapy response in a transdiagnostic sample

BACKGROUND

Effective biomarkers of cognitive behavioral therapy (CBT) response provide information beyond available behavioral or self-report measures and may optimize treatment selection for patients based on likelihood of benefit. No single biomarker reliably predicts CBT response. In this study, we evaluated patterns of brain connectivity associated with self-focused attention (SFA) as biomarkers of CBT response for anxiety and obsessive-compulsive disorders. We hypothesized that pre-treatment as well as pre-to post-treatment changes in functional connectivity would be associated with improvement during CBT in a transdiagnostic sample.

METHODS

Twenty-seven patients with primary social anxiety disorder (n = 14) and primary body dysmorphic disorder (n = 13) were scanned before and after 12 sessions of CBT targeting their primary disorder. Eligibility was based on elevated trait SFA scores on the Public Self-Consciousness Scale. Seed-based resting state functional connectivity associated with symptom improvement was computed using a seed in the posterior cingulate cortex of the default mode network.

RESULTS

At pre-treatment, stronger positive connectivity of the seed with the cerebellum, and stronger negative connectivity with the putamen, were associated with greater clinical improvement. Between pre-to post-treatment, greater anticorrelation between the seed and postcentral gyrus, extending into the inferior parietal lobule and precuneus/superior parietal lobule was associated with clinical improvement, although this did not survive thresholding.

CONCLUSIONS

Pre-treatment functional connectivity with the default mode network was associated with CBT response. Behavioral and self-report measures of SFA did not contribute to predictions, thus highlighting the value of neuroimaging-based measures of SFA.

CLINICAL TRIALS REGISTRATION

ClinicalTrials.gov Identifier: NCT02808702 https://clinicaltrials.gov/ct2/show/NCT02808702.

Functional Imaging Derived ADHD Biotypes Based on Deep Clustering May Guide Personalized Medication Therapy

Attention deficit hyperactivity disorder (ADHD) is one prevalent neurodevelopmental disorder with childhood onset, however, there is no clear correspondence established between clinical ADHD subtypes and primary medications. Identifying objective and reliable neuroimaging markers for categorizing ADHD biotypes may lead to more individualized, biotype-guided treatment. Here we proposed graph convolutional network plus deep clustering for ADHD biotype detection using functional network connectivity (FNC), resulting in two biotypes based on 1069 ADHD patients selected from Adolescent Brain and Cognitive Development (ABCD) study, which were well replicated on independent ADHD adolescents undergoing longitudinal medication treatment (n=130). Interestingly, in addition to differences in cognitive performance and hyperactivity/impulsivity symptoms, biotype 1 treated with methylphenidate demonstrated significantly better recovery than biotype 2 treated with atomoxetine (p<0.05, FDR corrected). This imaging-driven, biotype-guided approach holds promise for facilitating personalized treatment of ADHD, exploring possible boundaries through innovative deep learning algorithms aimed at improving medication treatment effectiveness.