Trade-offs among brain structural network characteristics across the cognitive decline process in cerebral small vessel disease

Our study provides evidence for the heterogeneous alterations in brain structural network across different stages of cognitive impairment in CSVD. The disconnection of brain structural network at NCI stage is mainly the loss of redundant connections. The decline of Eg is the vital factor for cognitive impairment at MCI stage. The decline of all network characteristics is the prominent manifestation at VaD stage. Throughout the cognitive decline process in CSVD, there are trade-offs among the brain network wiring cost, integration, and segregation.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2024-11-28
DOI
https://doi.org/10.3389/fnagi.2024.1465181
Citations
2
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.49

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article

Trade-offs among brain structural network characteristics across the cognitive decline process in cerebral small vessel disease

Dinggang G. Shen, Yage Qiu, Xu Han, Mianxin Liu et al.
2 citations
Frontiers in Aging Neuroscience
Neurological Disease Mechanisms and Treatments
0.49
article

Trade-offs among brain structural network characteristics across the cognitive decline process in cerebral small vessel disease

Dinggang G. Shen, Yage Qiu, Xu Han, Mianxin Liu, Yuewei Chen, Yao Wang, Yan Zhou, Qun Xu
article en
2 citations

Abstract

Our study provides evidence for the heterogeneous alterations in brain structural network across different stages of cognitive impairment in CSVD. The disconnection of brain structural network at NCI stage is mainly the loss of redundant connections. The decline of Eg is the vital factor for cognitive impairment at MCI stage. The decline of all network characteristics is the prominent manifestation at VaD stage. Throughout the cognitive decline process in CSVD, there are trade-offs among the brain network wiring cost, integration, and segregation.

Frontiers in Aging NeuroscienceVol. 16
Shanghai Jiao Tong University (CN), Renji Hospital (CN), ShanghaiTech University (CN), Beijing Academy of Artificial Intelligence (CN), Shanghai Artificial Intelligence Laboratory (CN)
Shanghai Municipal Health Commission, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Shenkang Hospital Development Center, Renji Hospital
Partnerships for the goals
Openalex Percentile: Top 32%
Neurological Disease Mechanisms and Treatments
0.49
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