Meaghan Smith

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

HippoGenes creates transcriptomic maps of the human hippocampus using spatial statistical models and the Allen Human Brain Atlas, enabling subregional gene expression analysis and disease-related molecular decoding.

This study identifies hierarchical neural signatures of language by linking semantic and phonological processing to brain networks using fMRI, myelin measures, and AI models.

MICAFlow provides a fast and robust MRI preprocessing pipeline that translates research workflows into clinical practice, achieving high registration accuracy and data reliability across diverse datasets.

This study examines intersubject correlations during naturalistic movie watching and finds they align with functional gradients across different brain networks and spatial scales.

The paper examines how cognitive states like resting and movie watching affect large-scale brain functional connectivity using fMRI data from the HCP and PNI datasets.