Sex-stratified neural connectivity patterns in Alzheimer's disease: a resting-state fMRI study unraveling distinct topological alterations

Xuhong Wu; Miao Song

doi:10.1117/12.3036854

13 July 2024 Sex-stratified neural connectivity patterns in Alzheimer's disease: a resting-state fMRI study unraveling distinct topological alterations

Xuhong Wu, Miao Song

Author Affiliations +

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 1320830 (2024) https://doi.org/10.1117/12.3036854
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Previous studies have indicated sex differences in Alzheimer’s disease (AD). There has not yet been an experiment examining the neural mechanisms and influencing factors of brain connectivity. We gathered resting-state functional magnetic resonance imaging (rs-fMRI) data from a total of 31 AD patients, including 17 females, and 50 healthy controls, comprising 28 females. We investigated brain connectivity from multiple topological variables. The small-world coefficient is significantly higher in the female subgroup than in the male subgroup, in both AD and CN groups. The probability distribution of brain connectivity degrees in males shows more pronounced changes compared to females. There are significant differences in topological variables among groups and sex. Our results demonstrate that brain connectivity exists in the sex differences between AD and CN, which provides new evidence for the existence of physiological protective mechanisms in males against AD.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Xuhong Wu and Miao Song "Sex-stratified neural connectivity patterns in Alzheimer's disease: a resting-state fMRI study unraveling distinct topological alterations", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 1320830 (13 July 2024); https://doi.org/10.1117/12.3036854

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KEYWORDS

Brain

Alzheimer disease

Functional magnetic resonance imaging

Neuroimaging

Matrices

Analytical research

Neurological disorders

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