Hong Zhang

This paper estimates individual coactivation patterns from resting-state fMRI data to improve subject identification, finding that longer scan durations enhance reliability.

This study examines frequency-specific coactivation patterns in resting-state fMRI and finds altered patterns in schizophrenia, improving classification accuracy when combining slow-4 and slow-5 bands.

This study evaluates the reproducibility and generalizability of coactivation patterns (CAPs) in brain networks across multiple cohorts and finds altered dynamic states in schizophrenia.

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.