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Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults
Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To ass...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741112/ http://dx.doi.org/10.1093/geroni/igaa057.3372 |
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author | Neyland, Blake Hugenschmidt, Christina Lockhart, Samuel Baker, Laura Craft, Suzanne Laurienti, Paul Kritchevsky, Stephen |
author_facet | Neyland, Blake Hugenschmidt, Christina Lockhart, Samuel Baker, Laura Craft, Suzanne Laurienti, Paul Kritchevsky, Stephen |
author_sort | Neyland, Blake |
collection | PubMed |
description | Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To assess the potential role of brain networks as a mechanism of mobility reserve, 116 participants with MRI from the Brain Networks and Mobility Function (B-NET) were categorized into 4 groups based on median splits of SPPB scores and WMH burden: Expected Healthy (EH: low WMH, SPPB>10, N=45), Expected Impaired (EI: high WMH, SPPB10, N=24), Unexpected Impaired (EI: low WMH, SPPB<10, N=10) and Unexpected Unhealthy (UH: low WMH, SPPB<10, N=37). Functional brain networks were calculated using graph theory methods and white matter hyperintensities were quantified with the Lesion Segmentation Toolbox (LST) in SPM12. Somatomotor cortex community structure (SMC-CS) was similar between UH and EH with both having higher consistency than EI and UI. However, UH displayed a unique increase in second-order connections between the motor cortex and the anterior cingulate. It is possible that this increase in connections is a signal of higher reserve or resilience in UH participants and may indicate a mechanism of compensation in regards to mobility function and advanced WMH burden. These data suggest functional brain networks may be a mechanism for mobility resilience in older adults at mobility risk due to WMH burden. |
format | Online Article Text |
id | pubmed-7741112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77411122020-12-21 Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults Neyland, Blake Hugenschmidt, Christina Lockhart, Samuel Baker, Laura Craft, Suzanne Laurienti, Paul Kritchevsky, Stephen Innov Aging Abstracts Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To assess the potential role of brain networks as a mechanism of mobility reserve, 116 participants with MRI from the Brain Networks and Mobility Function (B-NET) were categorized into 4 groups based on median splits of SPPB scores and WMH burden: Expected Healthy (EH: low WMH, SPPB>10, N=45), Expected Impaired (EI: high WMH, SPPB10, N=24), Unexpected Impaired (EI: low WMH, SPPB<10, N=10) and Unexpected Unhealthy (UH: low WMH, SPPB<10, N=37). Functional brain networks were calculated using graph theory methods and white matter hyperintensities were quantified with the Lesion Segmentation Toolbox (LST) in SPM12. Somatomotor cortex community structure (SMC-CS) was similar between UH and EH with both having higher consistency than EI and UI. However, UH displayed a unique increase in second-order connections between the motor cortex and the anterior cingulate. It is possible that this increase in connections is a signal of higher reserve or resilience in UH participants and may indicate a mechanism of compensation in regards to mobility function and advanced WMH burden. These data suggest functional brain networks may be a mechanism for mobility resilience in older adults at mobility risk due to WMH burden. Oxford University Press 2020-12-16 /pmc/articles/PMC7741112/ http://dx.doi.org/10.1093/geroni/igaa057.3372 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Neyland, Blake Hugenschmidt, Christina Lockhart, Samuel Baker, Laura Craft, Suzanne Laurienti, Paul Kritchevsky, Stephen Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title | Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title_full | Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title_fullStr | Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title_full_unstemmed | Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title_short | Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults |
title_sort | brain resilience: the effect of white matter disease on brain networks in cognitively normal older adults |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741112/ http://dx.doi.org/10.1093/geroni/igaa057.3372 |
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