ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Brain Imaging Methods
This article is part of the Research TopicExploring Neuropsychiatric Disorders Through Multimodal MRI: Network Analysis, Biomarker Discovery, and Clinical InsightsView all articles
Study on Global Properties of Brain Networks in Amnestic MCI Patients: Based on DTI and fMRI Data Analysis
Provisionally accepted- 1Heilongjiang University of Chinese Medicine, Harbin, China
- 2First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
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Objective: This study aims to utilize multimodal neuroimaging techniques to simultaneously analyze global topological properties of white matter structural networks and resting-state functional networks in aMCI patients, comparing them with healthy controls. By conducting independent and integrative analyses of topological impairments in both networks, we seek to systematically characterize the multimodal network disruption patterns in aMCI. Methods: 45 aMCI patients and 42 healthy adults from the First Affiliated Hospital of Heilongjiang University of Chinese Medicine in Harbin, Heilongjiang Province, China, were enrolled. A case-control cross-sectional study was conducted. DTI and rs-fMRI data were collected for all participants. Global topological properties of structural and functional networks were constructed using PANDA and dpabi software and were calculated via graph-theoretical analysis in GRETNA software, followed by statistical comparisons between groups. Results: In patients with aMCI, the small-world (Cp, aCp, Lambda, aLambda) of the WM structural network were significantly higher than those in the HC group; Rich-club nodes showed redistribution, and the Rich-club coefficient was decreased; aEloc was significantly increased; the Assortativity index (r<0) indicated disassortativity; the Hierarchy index (b>0) exhibited a significant decrease in b within the sparsity range of 0.39~0.4; the synchronization coefficient (s) was significantly reduced at sparsity levels ranging from 0.28 to 0.30. For the functional network, the small-world index aLp in the aMCI group was significantly lower than that in the HC group; Rich-club nodes showed redistribution, and the Rich-club coefficient was increased within a certain Degree range; aEg was significantly increased; the Assortativity index (r>0) indicated assortativity; the Hierarchy index (b>0) was observed within a specific sparsity range. Conclusion: We identified a "structure-function dissociation" in aMCI, where the structural network suffers from fragmentation and hub disruption, while the functional network compensates through rigid, hyper-localized reorganization with elevated local efficiency. This divergence reveals a core pathological mechanism of the disease.
Keywords: amnestic mild cognitive impairment, Global properties, brain network, Diffusion Tensor Imaging, functional magnetic resonance imaging
Received: 29 Jul 2025; Accepted: 23 Oct 2025.
Copyright: © 2025 Han, Bai, Li, Feng, Chu, Yang, shang, Zhang, Li and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Feng Wang, wfzmy123@163.com
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