Network segregation is associated with processing speed in the cognitively healthy oldest-ol.

IF 6.4 1区生物学 Q1 BIOLOGY

eLife Pub Date : 2025-03-26 DOI:10.7554/eLife.78076

Sara A Nolin, Mary E Faulkner, Paul Stewart, Leland L Fleming, Stacy Merritt, Roxanne F Rezaei, Prad K Bharadwaj, Mary Kate Franchetti, David A Raichlen, Courtney J Jessup, Lloyd Edwards, G Alex Hishaw, Emily J Van Etten, Theodore P Trouard, David Geldmacher, Virginia G Wadley, Noam Alperin, Eric S Porges, Adam J Woods, Ron A Cohen, Bonnie E Levin, Tatjana Rundek, Gene E Alexander, Kristina Visscher

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引用次数: 0

Abstract

The brain is organized into systems and networks of interacting components. The functional connections among these components give insight into the brain's organization and may underlie some cognitive effects of aging. Examining the relationship between individual differences in brain organization and cognitive function in older adults who have reached oldest old ages with healthy cognition can help us understand how these networks support healthy cognitive aging. We investigated functional network segregation in 146 cognitively healthy participants aged 85+ in the McKnight Brain Aging Registry. We found that the segregation of the association system and the individual networks within the association system [the fronto-parietal network (FPN), cingulo-opercular network (CON) and default mode network (DMN)], has strong associations with overall cognition and processing speed. We also provide a healthy oldest-old (85+) cortical parcellation that can be used in future work in this age group. This study shows that network segregation of the oldest-old brain is closely linked to cognitive performance. This work adds to the growing body of knowledge about differentiation in the aged brain by demonstrating that cognitive ability is associated with differentiated functional networks in very old individuals representing successful cognitive aging.

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来源期刊

eLife BIOLOGY-

CiteScore

12.90

自引率

3.90%

发文量

3122

审稿时长

17 weeks

期刊介绍： eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.