Haily Merritt

The paper identifies dynamic social envirotypes in adolescents and shows how brain connectivity patterns vary with social context, affecting mental health outcomes.

The paper demonstrates that edge time series, a method for tracking connectivity changes, are equivalent to interaction terms in a linear model and show connectivity has unique explanatory power beyond brain activity.

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

This paper introduces a topological fingerprinting method using homological scaffolds from resting-state fMRI data, achieving near-perfect individual identification accuracy.

This study uses multilayer modeling to analyze brain-behavior correlations across seven social support measures, finding that subcortical and control systems show varying community affiliations.

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