Dedifferentiation of brain functional gradient captures cognition performance and stroke occurrence: a UK Biobank study DOI Creative Commons
Chenye Shen,

Chaoqiang Liu,

Nanguang Chen

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121183 - 121183

Published: April 1, 2025

Brain functional dedifferentiation, marked by reduced specificity of brain activity or greater similarity connectivity (FC) among networks, is a hallmark aging. Traditionally, task magnetic resonance imaging studies have explored dedifferentiation within specific cognitive domains, while FC-based approaches focused on regional patterns. Here, we leverage the principal gradient to provide macro-scale and integrative perspective in aging, offering novel framework for understanding its relationship with cognition, disease. We utilized images clinical data from UK Biobank, comprising 23,578 participants aged 44-82. Linear regression was employed assess relationships between network along age, performance across six domains normal aging population. tested interactions sex, education their influence age-related dedifferentiation. Logistic applied classify stroke matched participants. Our findings revealed range indicating FC variability all regions. At level, frontoparietal other networks strongly linked performance. Males exhibited faster than females multiple networks. The somatomotor most affected stroke-related Validation via covariate-matched subgroups confirmed robustness these findings. This research provides insights into changes, highlighting as network-sensitive indicator development stroke.

Language: Английский

Dedifferentiation of brain functional gradient captures cognition performance and stroke occurrence: a UK Biobank study DOI Creative Commons
Chenye Shen,

Chaoqiang Liu,

Nanguang Chen

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121183 - 121183

Published: April 1, 2025

Brain functional dedifferentiation, marked by reduced specificity of brain activity or greater similarity connectivity (FC) among networks, is a hallmark aging. Traditionally, task magnetic resonance imaging studies have explored dedifferentiation within specific cognitive domains, while FC-based approaches focused on regional patterns. Here, we leverage the principal gradient to provide macro-scale and integrative perspective in aging, offering novel framework for understanding its relationship with cognition, disease. We utilized images clinical data from UK Biobank, comprising 23,578 participants aged 44-82. Linear regression was employed assess relationships between network along age, performance across six domains normal aging population. tested interactions sex, education their influence age-related dedifferentiation. Logistic applied classify stroke matched participants. Our findings revealed range indicating FC variability all regions. At level, frontoparietal other networks strongly linked performance. Males exhibited faster than females multiple networks. The somatomotor most affected stroke-related Validation via covariate-matched subgroups confirmed robustness these findings. This research provides insights into changes, highlighting as network-sensitive indicator development stroke.

Language: Английский

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