Arun S. Mahadevan

Is the brain macroscopically linear? A system identification of resting state dynamics

The paper challenges the assumption that nonlinear models are necessary for whole-brain dynamics by showing linear models achieve better fit, simplicity, and interpretability in resting state fMRI and iEEG data.

Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study

This study uses network control theory to examine how alprazolam affects persistence energy during emotion processing in schizophrenia relatives, revealing compensatory mechanisms and neuromodulatory relationships.

A Developmental Reduction of the Excitation:Inhibition Ratio in Association Cortex during Adolescence.

This study uses pharmacological fMRI to show a reduction in the excitation:inhibition ratio in association cortex during adolescence, linked to psychopathology.

Altered functional brain dynamics in chromosome 22q11.2 deletion syndrome during facial affect processing

This study identifies altered functional brain dynamics in 22q11.2DS during facial affect processing using fMRI, showing preserved early visual and insular activation but diminished motor feedback and emotional memory signals.

Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data

This study evaluates how different functional connectivity measures in resting-state fMRI data are affected by motion artifacts and finds that partial correlation is most robust.

Living Neural Networks: Dynamic Network Analysis of Developing Neural Progenitor Cells

This paper introduces a method to analyze the dynamic network formation of human neural progenitor cells using graph theory and long-term imaging, revealing key transitions in network efficiency and electrical activity during differentiation.