Amber M. Howell

The paper shows that neural timescale flexibility adapts to task demands, is hierarchically organized, and develops through two stages in youth.

The paper develops a framework using optimal control theory to estimate brain structure-function interactions from MRI data, showing correlations between self-inhibition parameters and neural timescales across species.

The paper evaluates the stability of CCA and PLS in high-dimensional datasets, finding instability in small samples and proposing a power calculator for reliable multivariate analysis.

The paper develops a biophysically-based circuit model to capture individual variation in cortical functional connectivity using resting-state fMRI data from the Human Connectome Project.

The study quantifies corticothalamic connectivity patterns in humans and macaques, revealing distinct spatial extents associated with sensorimotor and associative cortical areas.

This study uses a 3-person fMRI hyperscanning paradigm to identify neural correlates of collaboration, finding increased activation and synchrony in theory of mind-related brain regions during a triadic task.