Chun Meng

This study examines how intelligence and cognitive flexibility influence working memory through brain connectomic gradients and task performance in healthy adults.

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.

This study investigates how regional neural activity and inter-regional functional connectivity change in Alzheimer's disease and mild cognitive impairment, finding that AD disrupts the normal relationship between metabolism and functional connectivity.