Arun L.W. Bokde

The paper proposes the amygdala burnout hypothesis, showing early-life stress leads to initial amygdala volume increases in adolescence followed by reductions in older age across rodents and humans.

The paper identifies two reproducible reward imaging phenotypes linked to dopamine D2 receptor function and shows differential responses to antipsychotic drugs.

The paper examines how childhood adversity dimensions relate to frontostriatal network connectivity and anhedonia in young adults, finding sex-specific associations.

The paper uses longitudinal fMRI data to show that proactive and reactive control networks stabilize after mid-adolescence, predicting cognitive stability and psychopathology.

The paper predicts 18-month Q-CHAT scores from neonatal resting-state fMRI data, finding significant associations with visual and auditory networks in term-born infants.

This study examines how different types of adversity affect grey and white matter development in adolescents across two cohorts, finding distinct associations between adversity types and brain structure metrics.

The paper uses longitudinal neuroimaging and behavioural data to show how brain-behaviour relationships shift from externalising to internalising symptoms across adolescence, identifying age 14 as a critical transition point.

The paper uses neonatal resting-state fMRI to predict 18-month socioemotional and behavioral outcomes in infants, finding distinct brain network associations between preterm and term-born groups.

This study links bullying victimization to structural brain changes in adolescents and young adults, showing sex-specific effects on brain regions involved in emotion and motor function.

This study uses ROI-constrained CPM to predict 18-month cognitive, language, and motor outcomes from neonatal brain connectivity, finding that early sensory hubs are strong predictors.

The paper develops a digital twin brain model that simulates and manipulates functional brain networks to predict mental illness symptoms and responses to interventions.

This study investigates brain age differences in youth with conduct disorder compared to controls, finding accelerated brain maturation in those with adolescence-onset CD.

MOCHA identifies latent population subgroups with distinct genetic effects from multi-omics data, revealing two neurodevelopmental clusters linked to adolescent inhibitory control.

This study identifies developmental differences between dorsomedial and dorsolateral prefrontal cortex using multimodal data and transcriptomics, revealing a medial-lateral topographic division.

This study maps the coupling between cortical geometry and white matter tract connectivity, showing how these aspects jointly shape brain function.

The paper identifies a neural archetype associated with chronic pain susceptibility by analyzing resting-state networks in population and clinical samples.

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

The paper identifies a genetic-dependent brain signature of resilience linked to childhood abuse and depression risk in girls, showing its predictive value for emotional disorders in adolescence and early adulthood.

The paper links regional human cortex development and aging to molecular and cellular brain organization patterns using neuroimaging and gene expression data.

This study examines how variability in brain state engagement changes with age and its relationship to executive function in youth.

This study develops an individualized in vivo marker of excitation-inhibition balance in adolescents using biophysical network models and finds increased inhibition in association cortices during development.

This study shows that a brain network for sustained attention at age 14 predicts increased cannabis and cigarette use by age 23 in a longitudinal cohort.

The paper examines sex differences in subcortical brain volume trajectories across adolescence using longitudinal data from two European sites.

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.

This study uses Mendelian randomization to examine bidirectional causal effects between brain morphology and Alzheimer's disease risk across different life stages.

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

This study examines the independent effects of socioeconomic status and genetic factors on brain development and cognition in adolescents, finding distinct associations with cortical surface area and working memory.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper examines how metastable neural dynamics in resting state networks relate to cognitive performance across different tasks and finds that spontaneous metastability in cognitive control networks correlates with novel problem-solving abilities.