The evaluation of patterns in gray matter damage during the development of Alzheimer's disease by using VBM analysis

Motivation: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. The pattern of damage in memory circuits and its relationship to pathological markers remain unclear. Goal(s): The goal is to evaluate the transmission pattern of AD characteristic pathology in memory circuits based on AD cohort population in vivo. Approach: In this study, AD continuum was constructed to model the pathological development of AD, and VBM was used to analyze the damage pattern of brain gray matter structure. Results: Hippocampal volume atrophy was identified as occurring first with the aggravation of AD pathological changes, and the degree of damage increased as AD progressed. Impact: VBM analysis can reveal the morphological changes of gray matter across the AD continuum, thereby revealing the temporal and spatial progression of AD pathological changes.

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
2025-09-16
DOI
https://doi.org/10.58530/2025/3001
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

The evaluation of patterns in gray matter damage during the development of Alzheimer's disease by using VBM analysis

Wei Wang, Shuai Lin, Jianxiu Lian
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
Machine Learning in Materials Science
article

The evaluation of patterns in gray matter damage during the development of Alzheimer's disease by using VBM analysis

Wei Wang, Shuai Lin, Jianxiu Lian
article en

Abstract

Motivation: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. The pattern of damage in memory circuits and its relationship to pathological markers remain unclear. Goal(s): The goal is to evaluate the transmission pattern of AD characteristic pathology in memory circuits based on AD cohort population in vivo. Approach: In this study, AD continuum was constructed to model the pathological development of AD, and VBM was used to analyze the damage pattern of brain gray matter structure. Results: Hippocampal volume atrophy was identified as occurring first with the aggravation of AD pathological changes, and the degree of damage increased as AD progressed. Impact: VBM analysis can reveal the morphological changes of gray matter across the AD continuum, thereby revealing the temporal and spatial progression of AD pathological changes.

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 81%
Machine Learning in Materials Science
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