Back to Search Start Over

The characteristic patterns of individual brain susceptibility networks underlie Alzheimer’s disease and white matter hyperintensity-related cognitive impairment

Authors :
Haifeng Chen
Jingxian Xu
Weikai Li
Zheqi Hu
Zhihong Ke
Ruomeng Qin
Yun Xu
Source :
Translational Psychiatry, Vol 14, Iss 1, Pp 1-13 (2024)
Publication Year :
2024
Publisher :
Nature Publishing Group, 2024.

Abstract

Abstract Excessive iron accumulation in the brain cortex increases the risk of cognitive deterioration. However, interregional relationships (defined as susceptibility connectivity) of local brain iron have not been explored, which could provide new insights into the underlying mechanisms of cognitive decline. Seventy-six healthy controls (HC), 58 participants with mild cognitive impairment due to probable Alzheimer’s disease (MCI-AD) and 66 participants with white matter hyperintensity (WMH) were included. We proposed a novel approach to construct a brain susceptibility network by using Kullback‒Leibler divergence similarity estimation from quantitative susceptibility mapping and further evaluated its topological organization. Moreover, sparse logistic regression (SLR) was applied to classify MCI-AD from HC and WMH with normal cognition (WMH-NC) from WMH with MCI (WMH-MCI).The altered susceptibility connectivity in the MCI-AD patients indicated that relatively more connectivity was involved in the default mode network (DMN)-related and visual network (VN)-related connectivity, while more altered DMN-related and subcortical network (SN)-related connectivity was found in the WMH-MCI patients. For the HC vs. MCI-AD classification, the features selected by the SLR were primarily distributed throughout the DMN-related and VN-related connectivity (accuracy = 76.12%). For the WMH-NC vs. WMH-MCI classification, the features with high appearance frequency were involved in SN-related and DMN-related connectivity (accuracy = 84.85%). The shared and specific patterns of the susceptibility network identified in both MCI-AD and WMH-MCI may provide a potential diagnostic biomarker for cognitive impairment, which could enhance the understanding of the relationships between brain iron burden and cognitive decline from a network perspective.

Details

Language :
English
ISSN :
21583188
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Translational Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.9a265f9d687c4d3b9f623f9446b8f31c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41398-024-02861-8