Edmund T. Rolls

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 examines structural asymmetry abnormalities in young children with autism and developmental delay/intellectual disability using normative models and finds group-specific patterns linked to gene expression and behavioral outcomes.

This study examines white matter development in children with autism, developmental delay/intellectual disorder, and typical development, identifying delayed growth patterns and their clinical associations.

This paper introduces sKPCR, a method for identifying voxel-phenotype associations in dense connectomes, showing better reproducibility and overlap with existing schizophrenia findings.

The paper introduces a toolbox to generate functional and genetic annotations for neuroimaging data, demonstrating its utility in interpreting brain regions and psychiatric disorders.