Sarah A. Cutts

The paper develops a data-driven method to identify individualized disordered connectivity patterns from fMRI data, revealing diverse neurobiological mechanisms underlying transdiagnostic psychiatric symptoms.

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

This study identifies hierarchical co-fluctuation patterns in brain activity using fMRI data from two dense-sampling studies, revealing multi-scale organization of brain systems.

The paper decomposes whole-brain functional connectivity into framewise contributions, showing that individualized brain network 'events' drive connectivity patterns, which are distinct from group-averaged patterns.

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

The paper introduces a method to analyze temporal fluctuations in functional connectivity by decomposing time series into binary patterns that reveal transient expression of brain functional systems.

This study examines how perceptual decisions about object shape influence visuomotor coordination during reaching and interception tasks, revealing differences in movement strategies and eye movement adaptations.