White matter-engaged multilayer network for evaluation of functional deficits in Alzheimer’s disease

Motivation: The role of white matter (WM) in the functional connectivity within brain networks has not been well studied. Goal(s): Our goal was to use a high-order graph model to comprehensively analyze brain functional networks that engage WM. Approach: We constructed multilayer networks and analyzed network parameters in the brains of subjects with Alzheimer’s disease (AD). Results: Multilayer network analysis showed increased sensitivity for detecting significant deterioration in functional connectivity (FC) in AD. Impact: Multilayer networks allow more comprehensive understanding of structure-function relations within the whole brain and may provide deeper insight into the pathophysiology of degenerative brain disease.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4965
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

White matter-engaged multilayer network for evaluation of functional deficits in Alzheimer’s disease

John C. Gore, Yurui Gao, Muwei Li, Soyoung Choi et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Functional Brain Connectivity Studies
article

White matter-engaged multilayer network for evaluation of functional deficits in Alzheimer’s disease

John C. Gore, Yurui Gao, Muwei Li, Soyoung Choi, Zhaohua Ding, Zhongliang Zu, Lyuan Xu, Adam Anderson, Kurt Schilling
article en

Abstract

Motivation: The role of white matter (WM) in the functional connectivity within brain networks has not been well studied. Goal(s): Our goal was to use a high-order graph model to comprehensively analyze brain functional networks that engage WM. Approach: We constructed multilayer networks and analyzed network parameters in the brains of subjects with Alzheimer’s disease (AD). Results: Multilayer network analysis showed increased sensitivity for detecting significant deterioration in functional connectivity (FC) in AD. Impact: Multilayer networks allow more comprehensive understanding of structure-function relations within the whole brain and may provide deeper insight into the pathophysiology of degenerative brain disease.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 78%
Functional Brain Connectivity Studies
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