Longitudinal Clustering of Psychopathology Across Childhood and Adolescence: An Approach Toward Developmentally Based Classification.

Current classification systems of psychopathology focus on cross-sectional symptomatology rather than continuity, discontinuity and comorbidity across development. Here, a community sample of 600 youth was assessed every 3 years from early childhood through late adolescence using semi-structured diagnostic interviews. We used longitudinal -means clustering of joint-diagnostic trajectories to identify 6 distinct clusters (healthy, childhood anxiety, childhood/adolescent ADHD, adolescent depression/anxiety, adolescent depression/substance use, and early childhood disruptive behavior).

When age tips the balance: A dual mechanism affecting hemispheric specialization for language.

Aging is accompanied by changes in brain architecture that alter the lateralization of functional networks. In this study, we examined how hemispheric specialization changes across the adult lifespan by analyzing resting-state fMRI and structural MRI data from 728 typical adults aged 18 to 88 years. Using the Language-and-Memory Network atlas, we quantified regional asymmetries in functional connectivity along the cortex's principal gradient, and normalized regional volumes across 37 bilateral regions.

Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.

The network organization of the human brain dynamically reconfigures in response to changing environmental demands, an adaptive process that may be disrupted in a symptom-relevant manner across psychiatric illnesses. Here, in a transdiagnostic sample of participants with (n=134) and without (n=85) psychiatric diagnoses, functional connectomes from intrinsic (resting-state) and task-evoked fMRI were decomposed to identify constraints on brain network dynamics across six cognitive states. Hierarchical clustering of 110 clinical, behavioral, and cognitive measures identified participant-specific symptom profiles, revealing four core dimensions of functioning: internalizing, externalizing, cognitive, and social/reward.

The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry.

An important aim in psychiatry is to establish valid and reliable associations linking profiles of brain functioning to clinically relevant symptoms and behaviors across patient populations. To advance progress in this area, we introduce an open dataset containing behavioral and neuroimaging data from 241 individuals aged 18 to 70, comprising 148 individuals meeting diagnostic criteria for a broad range of psychiatric illnesses and a healthy comparison group of 93 individuals. These data include high-resolution anatomical scans, multiple resting-state, and task-based functional MRI runs.