Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model

Background: Subjective cognitive decline and amnestic mild impairment (aMCI) were widely thought to be preclinical AD spectrum disorders, characterized by aberrant functional connectivity (FC) within the triple networks of default mode network (DMN), salience (SN), executive control (ECN). Dynamic FC (DFC) analysis can capture temporal fluctuations in brain during scan, which static cannot. The purpose current study was explore changes dynamic further reveal their potential diagnostic value diagnosing disorders. Methods: We collected resting-state magnetic resonance imaging data from 44 patients with subjective (SCD), 49 aMCI, 58 healthy controls (HCs). DFC based on sliding time-window correlation method used analyze variability three groups. Then, conducted relationship between altered a function. Furthermore, logistic regression assess accuracy SCD aMCI. Results: Compared HC group, groups aMCI both showed networks. right middle gyrus left inferior frontal (IFG) ECN significantly different Moreover, IFG obviously associated episodic memory that multivariable had high sensitivity specificity for Conclusions: varying degrees change involved More importantly, triple-network model proved important biomarkers identifying