Network segregation is associated with processing speed in the cognitively healthy oldest-old
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 a...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2025-03-01
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| Online Access: | https://elifesciences.org/articles/78076 |
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| author | Sara A Nolin Mary E Faulkner Paul Stewart Leland L Fleming Stacy Merritt Roxanne F Rezaei Pradyumna K Bharadwaj Mary Kate Franchetti David A Raichlen Cortney 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 M Visscher |
| author_facet | Sara A Nolin Mary E Faulkner Paul Stewart Leland L Fleming Stacy Merritt Roxanne F Rezaei Pradyumna K Bharadwaj Mary Kate Franchetti David A Raichlen Cortney 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 M Visscher |
| author_sort | Sara A Nolin |
| collection | DOAJ |
| description | 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 (MBAR). We found that the segregation of the association system and the individual networks within the association system (the fronto-parietal network , cingulo-opercular network, and default mode network), 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. |
| format | Article |
| id | doaj-art-67764bab54ce4e71bcf9744c6f2fc1ed |
| institution | OA Journals |
| issn | 2050-084X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj-art-67764bab54ce4e71bcf9744c6f2fc1ed2025-08-20T01:53:34ZengeLife Sciences Publications LtdeLife2050-084X2025-03-011410.7554/eLife.78076Network segregation is associated with processing speed in the cognitively healthy oldest-oldSara A Nolin0Mary E Faulkner1Paul Stewart2Leland L Fleming3https://orcid.org/0000-0002-4047-9031Stacy Merritt4Roxanne F Rezaei5Pradyumna K Bharadwaj6Mary Kate Franchetti7David A Raichlen8Cortney J Jessup9Lloyd Edwards10G Alex Hishaw11Emily J Van Etten12Theodore P Trouard13David Geldmacher14Virginia G Wadley15Noam Alperin16Eric S Porges17Adam J Woods18Ron A Cohen19Bonnie E Levin20Tatjana Rundek21Gene E Alexander22Kristina M Visscher23https://orcid.org/0000-0003-0737-4024University of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United StatesUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Southern California, Los Angeles, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United StatesUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United StatesUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United StatesUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United StatesUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United StatesUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United StatesUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United StatesUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United StatesThe 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 (MBAR). We found that the segregation of the association system and the individual networks within the association system (the fronto-parietal network , cingulo-opercular network, and default mode network), 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.https://elifesciences.org/articles/78076oldest-oldcognitive agingnetwork segregationprocessing speeddedifferentiation |
| spellingShingle | Sara A Nolin Mary E Faulkner Paul Stewart Leland L Fleming Stacy Merritt Roxanne F Rezaei Pradyumna K Bharadwaj Mary Kate Franchetti David A Raichlen Cortney 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 M Visscher Network segregation is associated with processing speed in the cognitively healthy oldest-old eLife oldest-old cognitive aging network segregation processing speed dedifferentiation |
| title | Network segregation is associated with processing speed in the cognitively healthy oldest-old |
| title_full | Network segregation is associated with processing speed in the cognitively healthy oldest-old |
| title_fullStr | Network segregation is associated with processing speed in the cognitively healthy oldest-old |
| title_full_unstemmed | Network segregation is associated with processing speed in the cognitively healthy oldest-old |
| title_short | Network segregation is associated with processing speed in the cognitively healthy oldest-old |
| title_sort | network segregation is associated with processing speed in the cognitively healthy oldest old |
| topic | oldest-old cognitive aging network segregation processing speed dedifferentiation |
| url | https://elifesciences.org/articles/78076 |
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