NeurosciencebioRxivPreprint
Change point based dynamic functional connectivity estimation outperforms sliding window and static estimation for classification of early mild cognitive impairment in resting-state fMRI
MARTIN G. ONDRUS, Ivor Cribben
This study compares static, sliding window, and change point dynamic functional connectivity methods for classifying early mild cognitive impairment using resting-state fMRI, finding cpDFC outperforms others with 91.17% accuracy.