Adriana Di Martino

This study identifies distinct subcortical-cortical circuit disruptions in autism and ADHD using functional connectivity and dynamic causal modeling in a multi-site cohort.

The paper uses AI to analyze clinical interviews of youths with ADHD and ASD, finding distinct behavioral features that differentiate the conditions despite overlapping traits.

The paper examines how stable and changing brain network features predict cognitive development in adolescents using rs-fMRI and cognitive data from the ABCD Study.

The paper identifies hypo- and hyperconnectivity subtypes in autism using cross-species fMRI, linking them to distinct biological mechanisms in mice and humans.

This study finds reduced cortex-wide connectivity distance in ASD, indicating shorter average connection length and increased short-range connectivity, particularly in transmodal brain systems.

This study examines how thalamocortical connectivity changes with age and contributes to the development of large-scale functional brain networks from infancy to young adulthood.

This study uses multimodal imaging and connectivity modeling to show that polysynaptic mechanisms are implicated in autism spectrum disorder, with reduced structure-function coupling in transmodal networks.

This study identifies a structure-function substrate of cognitive imbalances in autism using multi-site neuroimaging data and dimensional analysis.

This study identifies shared and distinct structural brain differences in children with autism and anxiety, using neuroimaging data from 82 participants.

The paper examines factors predicting successful MRI data acquisition in children with neurodevelopmental conditions after simulator training, finding age and sensorimotor atypicalities as key predictors.

The paper combines connectome analysis and computational models to show autism has altered subcortico-cortical interactions linked to microcircuit and macroscale network anomalies.

The paper investigates sex differences in autism using resting-state fMRI data, finding significant effects in brain connectivity and replicating some findings in independent samples.

The paper examines the relationship between striatal intrinsic connectivity and RRB severity in children with ASD using ABIDE data, finding significant cortico-striatal correlations.

The paper identifies three factors of ASD with distinct brain connectivity and symptom patterns, reconciling categorical and dimensional models of autism heterogeneity.

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper assesses the impact of shared data on scientific literature using a brain imaging case study, showing increased publication rates and broader scientific collaboration.