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Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study
BACKGROUND: There is significant heterogeneity in the clinical expression of structural brain abnormalities, including Alzheimer’s disease biomarkers. Some individuals preserve their memory despite the presence of risk factors or pathological brain changes, indicating resilience. We aimed to test wh...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380585/ https://www.ncbi.nlm.nih.gov/pubmed/30779761 http://dx.doi.org/10.1371/journal.pone.0211273 |
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author | Topiwala, Anya Suri, Sana Allan, Charlotte Valkanova, Vyara Filippini, Nicola Sexton, Claire E. Heise, Verena Zsoldos, Enikő Mahmood, Abda Singh-Manoux, Archana Mackay, Clare E. Kivimäki, Mika Ebmeier, Klaus P. |
author_facet | Topiwala, Anya Suri, Sana Allan, Charlotte Valkanova, Vyara Filippini, Nicola Sexton, Claire E. Heise, Verena Zsoldos, Enikő Mahmood, Abda Singh-Manoux, Archana Mackay, Clare E. Kivimäki, Mika Ebmeier, Klaus P. |
author_sort | Topiwala, Anya |
collection | PubMed |
description | BACKGROUND: There is significant heterogeneity in the clinical expression of structural brain abnormalities, including Alzheimer’s disease biomarkers. Some individuals preserve their memory despite the presence of risk factors or pathological brain changes, indicating resilience. We aimed to test whether resilient individuals could be distinguished from those who develop cognitive impairment, using sociodemographic variables and neuroimaging. METHODS: We included 550 older adults participating in the Whitehall II study with longitudinal data, cognitive test results, and multi-modal MRI. Hippocampal atrophy was defined as Scheltens Scores >0. Resilient individuals (n = 184) were defined by high cognitive performance despite hippocampal atrophy (HA). Non-resilient participants (n = 133) were defined by low cognitive performance (≥1.5 standard deviations (S.D.) below the group mean) in the presence of HA. Dynamic and static exposures were evaluated for their ability to predict later resilience status using multivariable logistic regression. In a brain-wide analysis we tested for group differences in the integrity of white matter (structural connectivity) and resting-state networks (functional connectivity). FINDINGS: Younger age (OR: 0.87, 95% CI: 0.83 to 0.92, p<0.001), higher premorbid FSIQ (OR: 1.06, 95% CI: 1.03 to 1.10, p<0.0001) and social class (OR 1 vs. 3: 4.99, 95% CI: 1.30 to 19.16, p = 0.02, OR 2 vs. 3: 8.43, 95% CI: 1.80 to 39.45, p = 0.007) were independently associated with resilience. Resilient individuals could be differentiated from non-resilient participants by higher fractional anisotropy (FA), and less association between anterior and posterior resting state networks. Higher FA had a significantly more positive effect on cognitive performance in participants with HA, compared to those without. CONCLUSIONS: Resilient individuals could be distinguished from those who developed impairments on the basis of sociodemographic characteristics, brain structural and functional connectivity, but not midlife lifestyles. There was a synergistic deleterious effect of hippocampal atrophy and poor white matter integrity on cognitive performance. Exploiting and supporting neural correlates of resilience could offer a fresh approach to postpone or avoid the appearance of clinical symptoms. |
format | Online Article Text |
id | pubmed-6380585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63805852019-03-01 Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study Topiwala, Anya Suri, Sana Allan, Charlotte Valkanova, Vyara Filippini, Nicola Sexton, Claire E. Heise, Verena Zsoldos, Enikő Mahmood, Abda Singh-Manoux, Archana Mackay, Clare E. Kivimäki, Mika Ebmeier, Klaus P. PLoS One Research Article BACKGROUND: There is significant heterogeneity in the clinical expression of structural brain abnormalities, including Alzheimer’s disease biomarkers. Some individuals preserve their memory despite the presence of risk factors or pathological brain changes, indicating resilience. We aimed to test whether resilient individuals could be distinguished from those who develop cognitive impairment, using sociodemographic variables and neuroimaging. METHODS: We included 550 older adults participating in the Whitehall II study with longitudinal data, cognitive test results, and multi-modal MRI. Hippocampal atrophy was defined as Scheltens Scores >0. Resilient individuals (n = 184) were defined by high cognitive performance despite hippocampal atrophy (HA). Non-resilient participants (n = 133) were defined by low cognitive performance (≥1.5 standard deviations (S.D.) below the group mean) in the presence of HA. Dynamic and static exposures were evaluated for their ability to predict later resilience status using multivariable logistic regression. In a brain-wide analysis we tested for group differences in the integrity of white matter (structural connectivity) and resting-state networks (functional connectivity). FINDINGS: Younger age (OR: 0.87, 95% CI: 0.83 to 0.92, p<0.001), higher premorbid FSIQ (OR: 1.06, 95% CI: 1.03 to 1.10, p<0.0001) and social class (OR 1 vs. 3: 4.99, 95% CI: 1.30 to 19.16, p = 0.02, OR 2 vs. 3: 8.43, 95% CI: 1.80 to 39.45, p = 0.007) were independently associated with resilience. Resilient individuals could be differentiated from non-resilient participants by higher fractional anisotropy (FA), and less association between anterior and posterior resting state networks. Higher FA had a significantly more positive effect on cognitive performance in participants with HA, compared to those without. CONCLUSIONS: Resilient individuals could be distinguished from those who developed impairments on the basis of sociodemographic characteristics, brain structural and functional connectivity, but not midlife lifestyles. There was a synergistic deleterious effect of hippocampal atrophy and poor white matter integrity on cognitive performance. Exploiting and supporting neural correlates of resilience could offer a fresh approach to postpone or avoid the appearance of clinical symptoms. Public Library of Science 2019-02-19 /pmc/articles/PMC6380585/ /pubmed/30779761 http://dx.doi.org/10.1371/journal.pone.0211273 Text en © 2019 Topiwala et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Topiwala, Anya Suri, Sana Allan, Charlotte Valkanova, Vyara Filippini, Nicola Sexton, Claire E. Heise, Verena Zsoldos, Enikő Mahmood, Abda Singh-Manoux, Archana Mackay, Clare E. Kivimäki, Mika Ebmeier, Klaus P. Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title | Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title_full | Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title_fullStr | Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title_full_unstemmed | Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title_short | Predicting cognitive resilience from midlife lifestyle and multi-modal MRI: A 30-year prospective cohort study |
title_sort | predicting cognitive resilience from midlife lifestyle and multi-modal mri: a 30-year prospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380585/ https://www.ncbi.nlm.nih.gov/pubmed/30779761 http://dx.doi.org/10.1371/journal.pone.0211273 |
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