NeurosciencebioRxivPreprint
Evolutionary optimization in classification of early-MCI patients from healthy controls using graph measures of resting-state fMRI
Jafar Zamani, Ali Sadr, Amir‐Homayoun Javadi
This study uses evolutionary algorithms to optimize graph measures from resting-state fMRI data for classifying early mild cognitive impairment from healthy controls, achieving 94.55% accuracy.