Annie G. Bryant

The paper introduces subcortex_visualization, an open-source tool for visualizing subcortical and cerebellar data across multiple atlases, enabling reproducible and flexible region-level data visualization.

The paper benchmarks overlapping community detection methods on human connectomes, finding OSLOM best identifies overlapping structures and reveals hierarchical cortical organization.

The paper investigates the role of cerebellar and subcortical regions in working memory manipulation using fMRI during a mental rotation task, finding increased BOLD activity and delayed responses in these areas with larger rotation angles.

The paper maps the relationship between homotopic functional connectivity and anatomical, functional, and transcriptomic organization in the human cerebral cortex, showing preserved regional patterns across neuropsychiatric disorders.

The paper identifies and evaluates connectivity-based neural correlates of conscious visual perception using MEG data and theoretical models, finding support for Global Neuronal Workspace Theory over Integrated Information Theory.

This study identifies molecular changes in white matter hyperintensities in Alzheimer's disease using transcriptomic analysis of brain regions and blood vessels.

This paper systematically compares interpretable features of fMRI dynamics to identify effective signatures for neuropsychiatric disorder classification.

The paper analyzes endothelial cell heterogeneity across brain regions in Alzheimer's disease using single nucleus RNAseq, revealing region-specific gene expression changes and disease-related transcriptomic alterations.

This study uses single-nucleus RNA-sequencing to analyze astrocyte transcriptomic changes across the spatiotemporal progression of Alzheimer's disease, revealing gene expression trajectories and heterogeneity.