Functional Cerebral Network in Patients with Amnestic Mild Cognitive Impairment Based on Graph Theory Analysis
ZHANG Yingjie
ZHAO Simin
FAN Xinyue
QI Fangqing
QU Miao
Abstract：Objective:To investigate the alterations and clinical significance of functional cerebral network topological properties in patients with amnestic mild cognitive impairment(aMCI)using graph theory analysis.Methods:Resting-state functional magnetic resonance imaging(fMRI)data were acquired from 33 aMCI patients and 35 healthy controls.The GRETNA software was utilized to compute whole-cerebral functional connectivity.Independent samples t-tests were conducted to assess the differences between the two groups.Results:No significant differences were observed in global network attributes between the aMCI and control groups(P＞0.05).However,regarding nodal properties,the degree centrality(Dc)and nodalefficiency(Ne)increased in the left inferior frontal gyrus,bilateral medial superior frontal gyrus,and right rectus gyrus.Conversely,the betweenness centrality(Bc)and Ne values decreased in the left superior temporal gyrus.Additionally,the nodal topological properties of multiple subcortical network-related nodes exhibited a declining trend in the aMCI group.Notably,the number of cerebral regions with altered nodal topological properties in the left hemisphere was significantly greater than that in the right hemisphere among aMCI patients.Conclusion:The alterations in cerebral network topological properties may serve as an imaging biomarker for aMCI,providing a foundation for its early diagnosis.
Keywords：amnestic mild cognitive impairmentresting-state functional magnetic resonance imaginggraph theory analysis
Publication Date：2026-02-25
Online Publishing Date：2026-03-16(First online date of this platform, not the publication date of the document)
Pages：8( 522-529 )