Inter- and intra-individual variation in brain structural-cognition relationships in aging
The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively c...
| Autors principals: | , , , , , , , , , , |
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| Format: | Journal article |
| Idioma: | English |
| Publicat: |
Elsevier
2022
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| _version_ | 1826308057953468416 |
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| author | Patel, R Mackay, CE Jansen, MG Devenyi, GA O’Donoghue, MC Kivimäki, M Singh-Manoux, A Zsoldos, E Ebmeier, KP Chakravarty, MM Suri, S |
| author_facet | Patel, R Mackay, CE Jansen, MG Devenyi, GA O’Donoghue, MC Kivimäki, M Singh-Manoux, A Zsoldos, E Ebmeier, KP Chakravarty, MM Suri, S |
| author_sort | Patel, R |
| collection | OXFORD |
| description | The sources of inter- and intra-individual variability in age-related cognitive decline remain poorly
understood. We examined the association between 20-year trajectories of cognitive decline and
multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively
characterised cohort with 3T brain magnetic resonance images acquired at older age (mean age = 69.52±
4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ±4.9 years)
and late-life (mean age = 67.7 ±4.9). Using non-negative matrix factorization, we identified 10 brain
components integrating cortical thickness, surface area, fractional anisotropy, and mean and radial
diffusivities. We observed two latent variables describing distinct brain-cognition associations. The first
describes variations in 5 structural components associated with low mid-life performance across multiple
cognitive domains, decline in reasoning, but maintenance of fluency abilities. The second describes
variations in 6 structural components associated with low mid-life performance in fluency and memory,
but retention of multiple abilities. Expression of latent variables predicts future cognition 3.2 years later
(mean age = 70.87 ±4.9). This data-driven approach highlights brain-cognition relationships wherein
individuals express both decline and maintenance in function across cognitive domains and in brain
structural features.
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| first_indexed | 2024-03-07T07:13:55Z |
| format | Journal article |
| id | oxford-uuid:76b66042-ee6e-432b-91d1-fb7316812ad4 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:13:55Z |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:76b66042-ee6e-432b-91d1-fb7316812ad42022-07-21T09:39:27ZInter- and intra-individual variation in brain structural-cognition relationships in agingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:76b66042-ee6e-432b-91d1-fb7316812ad4EnglishSymplectic ElementsElsevier2022Patel, RMackay, CEJansen, MGDevenyi, GAO’Donoghue, MCKivimäki, MSingh-Manoux, AZsoldos, EEbmeier, KPChakravarty, MMSuri, SThe sources of inter- and intra-individual variability in age-related cognitive decline remain poorly understood. We examined the association between 20-year trajectories of cognitive decline and multimodal brain structure and morphology in older age. We used the Whitehall II Study, an extensively characterised cohort with 3T brain magnetic resonance images acquired at older age (mean age = 69.52± 4.9) and 5 repeated cognitive performance assessments between mid-life (mean age = 53.2 ±4.9 years) and late-life (mean age = 67.7 ±4.9). Using non-negative matrix factorization, we identified 10 brain components integrating cortical thickness, surface area, fractional anisotropy, and mean and radial diffusivities. We observed two latent variables describing distinct brain-cognition associations. The first describes variations in 5 structural components associated with low mid-life performance across multiple cognitive domains, decline in reasoning, but maintenance of fluency abilities. The second describes variations in 6 structural components associated with low mid-life performance in fluency and memory, but retention of multiple abilities. Expression of latent variables predicts future cognition 3.2 years later (mean age = 70.87 ±4.9). This data-driven approach highlights brain-cognition relationships wherein individuals express both decline and maintenance in function across cognitive domains and in brain structural features. |
| spellingShingle | Patel, R Mackay, CE Jansen, MG Devenyi, GA O’Donoghue, MC Kivimäki, M Singh-Manoux, A Zsoldos, E Ebmeier, KP Chakravarty, MM Suri, S Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title | Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title_full | Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title_fullStr | Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title_full_unstemmed | Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title_short | Inter- and intra-individual variation in brain structural-cognition relationships in aging |
| title_sort | inter and intra individual variation in brain structural cognition relationships in aging |
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