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OBJECTIVE: Dissociation, a disruption or discontinuity in psychological functioning, is often linked with worse psychiatric symptoms; however, the prognostic value of dissociation after trauma is inconsistent. Determining whether trauma-related dissociation is uniquely predictive of later outcomes would enable early identification of at-risk trauma populations. The authors conducted the largest prospective longitudinal biomarker study of persistent dissociation to date to determine its predictive capacity for adverse psychiatric outcomes following acute trauma. METHODS: All data were part of the Freeze 2 data release from the Advancing Understanding of Recovery After Trauma (AURORA) study. Study participants provided self-report data about persistent derealization (N=1,464), a severe type of dissociation, and completed a functional MRI emotion reactivity task and resting-state scan 2 weeks posttrauma (N=145). Three-month follow-up reports were collected of posttraumatic stress, depression, pain, anxiety symptoms, and functional impairment. RESULTS: Derealization was associated with increased ventromedial prefrontal cortex (vmPFC) activation in the emotion reactivity task and decreased resting-state vmPFC connectivity with the cerebellum and orbitofrontal cortex. In separate analyses, brain-based and self-report measures of persistent derealization at 2 weeks predicted worse 3-month posttraumatic stress symptoms, distinct from the effects of childhood maltreatment history and current posttraumatic stress symptoms. CONCLUSIONS: The findings suggest that persistent derealization is both an early psychological and biological marker of worse later psychiatric outcomes. The neural correlates of trauma-related dissociation may serve as potential targets for treatment engagement to prevent posttraumatic stress disorder. These results underscore dissociation assessment as crucial following trauma exposure to identify at-risk individuals, and they highlight an unmet clinical need for tailored early interventions.

Anxiety is being increasingly identified in Angelman syndrome (AS). Qualitative questions and quantitative assessments were used to evaluate for anxiety in 50 subjects with AS. In-person evaluations assessed behaviors concerning for anxiety and circumstances wherein they occurred. Caregivers completed anxiety and other behavioral rating scales. Caregiver responses were categorized and compared to items from anxiety rating scales. The most common behavioral manifestation of anxiety was "aggression." The most common circumstance was "separation from caregiver/parent." Subjects had elevated scores on anxiety, irritability and hyperactivity scales with lower mean scores among subjects with a maternal deletion. The Pediatric Anxiety Rating Scale best captured behaviors described by caregivers. Existing anxiety scales should be adapted for use in AS.

The purpose of the study was to characterize repetitive phenomena in Williams syndrome (WS). The parents of 60 subjects with WS completed the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) or Children's Y-BOCS, the Yale Global Tic Severity Scale, the Stereotyped Behavior Scale, and the Spence Children's Anxiety Scale--Parent Version. Nineteen males and 41 females participated in the study. Six subjects (10%) had obsessions only, six (10%) had compulsions only, and eleven (18%) had at least one obsession and at least one compulsion. None of the subjects had tics. Fifty subjects (83.3%) endorsed at least one stereotypy. Increased anxiety was associated with increased severity of obsessions, but not severity of compulsions or stereotypies.

The Institute for Trauma‐Informed Systems Change (ITISC) facilitated a 2‐day, 12‐hr trauma‐informed workshop, delivered virtually, using the Training for Change curriculum. The workshop took place in Portuguese in September 2021 with a group of Angolan leaders (N = 51) and in May 2022, in English, with neonatal intensive care unit (NICU) workers from the United States (N = 73). Surveys were administered before (Time [T] 0) and after the workshop (T1) and consisted of demographic questions and the Survey for Trauma‐Informed Systems Change (STISC), which assesses system‐wide knowledge and attitudes about trauma‐informed systems change and the intersection of culture, safety, and acceptance in the workplace. At T1, 18 (35.3%) participants in the Angolan leaders' group and 46 (63.0%) in the NICU group completed the surveys. Mean scores on the STISC Self‐Assessed Knowledge and Attitudes subscale and STISC System‐Wide Knowledge and Attitudes subscale increased significantly in both groups after the training. Effect sizes were large for self‐assessed knowledge and attitudes, Angolan leaders: d = 1.11, NICU: d = 1.97, and small‐to‐medium for system‐wide knowledge and attitudes, Angolan leaders: d = 0.52, NICU: d = 0.38. Limitations include the relatively small sample size and low participation rates for survey responses. Future research should examine the efficacy of the curriculum in larger samples that include individuals from diverse professions and additional countries. Together, the findings provide initial support that this training can be directly translated and implemented on a global scale. [ABSTRACT FROM AUTHOR]

Children with autism spectrum disorder (ASD) exhibit significant deficits in social communication and emotion regulation skills. While cognitive behavioral therapy (CBT) applications appear promising, trials to date have largely excluded social communication skill development and have not been designed to include a wider range of emotional challenges. To our knowledge, the present study is the first to pilot a uniquely modified CBT program targeting emotion regulation, including social communication training, and explicitly focusing on the child's areas of circumscribed interest in order to teach skills and promote generalization. Forty participants were randomly assigned to either the CBT group or a waitlist control (WLC) group, resulting in 20 school-aged children in each group. The treatment approach was determined to be feasible and acceptable, and therapy engagement and attendance were reasonably high. Caregivers expressed high satisfaction with the program, qualitatively citing gains in skills such as social problem-solving, emotion identification, and identifying and processing cognitive distortions. The primary outcome of postintervention changes was not significantly different between the groups (CBT vs. WLC). The mean Social Skills Improvement System score decreased by 0.44 points (95% confidence interval [CI]: −5.04, 4.15) in the CBT group and increased by 0.41 points (95% CI: −4.23, 5.04) in the WLC group, and the postintervention changes were not significantly different between the groups (difference: −0.85; 95% CI: −7.29, 5.60; p =.79). The estimated rate of emotional dysregulation episodes decreased by a factor of 0.94 (95% CI: 0.57, 1.56) in the CBT group and increased by a factor of 1.07 (95% CI: 0.51, 2.24) for WLC (p =.74). Among those who reported emotional dysregulation episodes, the mean duration decreased by 1.39 minutes (95% CI: −3.90, 6.67) less for CBT than waitlist (p =.60). Although satisfaction, acceptability, and emotional dysregulation outcome results from this preliminary CBT treatment for ASD are promising, sample size and measurement limitations will be important considerations to inform future trials. [ABSTRACT FROM AUTHOR]

Group differences in resting state functional magnetic resonance imaging connectivity between individuals with autism and typically developing controls have been widely replicated for a small number of discrete brain regions, yet the whole-brain distribution of connectivity abnormalities in autism is not well characterized. It is also unclear whether functional connectivity is sufficiently robust to be used as a diagnostic or prognostic metric in individual patients with autism. We obtained pairwise functional connectivity measurements from a lattice of 7266 regions of interest covering the entire grey matter (26.4 million connections) in a well-characterized set of 40 male adolescents and young adults with autism and 40 age-, sex- and IQ-matched typically developing subjects. A single resting state blood oxygen level-dependent scan of 8 min was used for the classification in each subject. A leave-one-out classifier successfully distinguished autism from control subjects with 83% sensitivity and 75% specificity for a total accuracy of 79% (P = 1.1 x 10[superscript -7]). In subjects less than 20 years of age, the classifier performed at 89% accuracy (P = 5.4 x 10[superscript -7]). In a replication dataset consisting of 21 individuals from six families with both affected and unaffected siblings, the classifier performed at 71% accuracy (91% accuracy for subjects less than 20 years of age). Classification scores in subjects with autism were significantly correlated with the Social Responsiveness Scale (P = 0.05), verbal IQ (P = 0.02) and the Autism Diagnostic Observation Schedule-Generic's combined social and communication subscores (P = 0.05). An analysis of informative connections demonstrated that region of interest pairs with strongest correlation values were most abnormal in autism. Negatively correlated region of interest pairs showed higher correlation in autism (less anticorrelation), possibly representing weaker inhibitory connections, p (Euclidean distance greater than 10 cm). Brain regions showing greatest differences included regions of the default mode network, superior parietal lobule, fusiform gyrus and anterior insula. Overall, classification accuracy was better for younger subjects, with differences between autism and control subjects diminishing after 19 years of age. Classification scores of unaffected siblings of individuals with autism were more similar to those of the control subjects than to those of the subjects with autism. These findings indicate feasibility of a functional connectivity magnetic resonance imaging diagnostic assay for autism.