Evgeny J. Chumin

The paper identifies social envirotypes in the ABCD study, showing they are associated with distinct brain connectivity patterns and diverging developmental outcomes.

This study identifies age-related changes in brain network organization using edge communities from resting state fMRI data across the human lifespan.

The paper shows that selecting specific time points from fMRI data improves brain-behavior correlations compared to full scan data across multiple behaviors.

The paper compares striatal dopamine covariance networks between social drinkers and AUD participants, finding disrupted network organization in AUD.

This study examines how levetiracetam affects brain metabolic networks and transcriptomic signatures in 5XFAD mice, showing dose- and sex-dependent changes in gene expression and cerebral metabolism.

The paper uses metabolic covariance analysis on PET imaging data from a mouse model of Alzheimer's disease to show age-related metabolic network changes and their alignment with clinical AD stages.

The paper investigates local brain system events and their contributions to global events, revealing distinct co-fluctuation patterns and their spatial distribution during resting-state and movie-watching scans.

The paper investigates cortico-subcortical interactions using edge communities and finds distinct coupling patterns between subcortical regions and cortical systems.

The paper analyzes edge communities in brain networks using the Midnight Scan Club dataset, showing they transcend traditional brain systems and reveal personalized patterns.