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Classifi cation of Alzheimer Disease, Mild Cognitive Impairment, and Normal Cognitive Status with Large-Scale Network Analysis Based on Resting-State

Materials and Methods: The study was conducted with institutional review board approval and was in compliance with HIPAA regulations. Written informed consent was obtained from each participant. Resting-state functional magnetic resonance (MR) imaging was used to acquire the voxelwise time series in 55 subjects with clinically diagnosed AD ( n = 20), aMCI ( n =15), and normal cognitive function ( n = 20). The brains were divided into 116 regions of interest (ROIs). The Pearson product moment correlation coeffi cients of pairwise ROIs were used to classify these subjects. Error estimation of the classifi cations was performed with the leave-one-out cross-validation method. Linear regression analysis was performed to analyze the relationship between changes in network connectivity strengths and behavioral scores.