Mohammadreza Khodaei

This paper introduces a method to quantify spatial entropy in brain network community structure and shows it decreases in specific brain regions during cognitive tasks.

The paper identifies dynamic resting-state brain network markers associated with disruptive behavior problems in children using fMRI data from the ABCD Study.

This study uses dynamic functional connectivity to compare brain state dynamics during mindfulness and control conditions after stress in moderate to heavy drinkers, finding differences in salience and default mode network activity.

This study uses brain network dynamics to predict future alcohol consumption in adolescents, finding sex-specific associations between network states and drinking behavior.

MIND-Map is a toolbox that uses HSMM to estimate brain dynamic states, analyze their dynamics, and compare network dynamics between samples, with a method to determine the optimal number of states.

The paper investigates the relationship between resting-state fMRI signals and intelligence, finding that signals from intelligent individuals occupy a larger functional space with more separated components.