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Network structure-function coupling and neurocognition in cerebral small vessel disease
BACKGROUND: Cerebral small vessel disease is a leading cause of cognitive decline and vascular dementia. Small vessel disease pathology changes structural brain networks, but its impact on functional networks remains poorly understood. Structural and functional networks are closely coupled in health...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176072/ https://www.ncbi.nlm.nih.gov/pubmed/37141644 http://dx.doi.org/10.1016/j.nicl.2023.103421 |
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author | Tay, Jonathan Düring, Marco van Leijsen, Esther M.C. Bergkamp, Mayra I. Norris, David G. de Leeuw, Frank-Erik Markus, Hugh S. Tuladhar, Anil M. |
author_facet | Tay, Jonathan Düring, Marco van Leijsen, Esther M.C. Bergkamp, Mayra I. Norris, David G. de Leeuw, Frank-Erik Markus, Hugh S. Tuladhar, Anil M. |
author_sort | Tay, Jonathan |
collection | PubMed |
description | BACKGROUND: Cerebral small vessel disease is a leading cause of cognitive decline and vascular dementia. Small vessel disease pathology changes structural brain networks, but its impact on functional networks remains poorly understood. Structural and functional networks are closely coupled in healthy individuals, and decoupling is associated with clinical symptoms in other neurological conditions. We tested the hypothesis that structural–functional network coupling is related to neurocognitive outcomes in 262 small vessel disease patients. METHODS: Participants underwent multimodal magnetic resonance imaging and cognitive assessment in 2011 and 2015. Structural connectivity networks were reconstructed using probabilistic diffusion tractography, while functional connectivity networks were estimated from resting-state functional magnetic resonance imaging. Structural and functional networks were then correlated to calculate a measure of structural–functional network coupling for each participant. RESULTS: Lower whole-brain coupling was associated with reduced processing speed and greater apathy both cross-sectionally and longitudinally. In addition, coupling within the cognitive control network was associated with all cognitive outcomes, suggesting that neurocognitive outcomes in small vessel disease may be related to the functioning of this intrinsic connectivity network. CONCLUSIONS: Our work demonstrates the influence of structural–functional connectivity network decoupling in small vessel disease symptomatology. Cognitive control network function may be investigated in future studies. |
format | Online Article Text |
id | pubmed-10176072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101760722023-05-13 Network structure-function coupling and neurocognition in cerebral small vessel disease Tay, Jonathan Düring, Marco van Leijsen, Esther M.C. Bergkamp, Mayra I. Norris, David G. de Leeuw, Frank-Erik Markus, Hugh S. Tuladhar, Anil M. Neuroimage Clin Regular Article BACKGROUND: Cerebral small vessel disease is a leading cause of cognitive decline and vascular dementia. Small vessel disease pathology changes structural brain networks, but its impact on functional networks remains poorly understood. Structural and functional networks are closely coupled in healthy individuals, and decoupling is associated with clinical symptoms in other neurological conditions. We tested the hypothesis that structural–functional network coupling is related to neurocognitive outcomes in 262 small vessel disease patients. METHODS: Participants underwent multimodal magnetic resonance imaging and cognitive assessment in 2011 and 2015. Structural connectivity networks were reconstructed using probabilistic diffusion tractography, while functional connectivity networks were estimated from resting-state functional magnetic resonance imaging. Structural and functional networks were then correlated to calculate a measure of structural–functional network coupling for each participant. RESULTS: Lower whole-brain coupling was associated with reduced processing speed and greater apathy both cross-sectionally and longitudinally. In addition, coupling within the cognitive control network was associated with all cognitive outcomes, suggesting that neurocognitive outcomes in small vessel disease may be related to the functioning of this intrinsic connectivity network. CONCLUSIONS: Our work demonstrates the influence of structural–functional connectivity network decoupling in small vessel disease symptomatology. Cognitive control network function may be investigated in future studies. Elsevier 2023-04-28 /pmc/articles/PMC10176072/ /pubmed/37141644 http://dx.doi.org/10.1016/j.nicl.2023.103421 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Tay, Jonathan Düring, Marco van Leijsen, Esther M.C. Bergkamp, Mayra I. Norris, David G. de Leeuw, Frank-Erik Markus, Hugh S. Tuladhar, Anil M. Network structure-function coupling and neurocognition in cerebral small vessel disease |
title | Network structure-function coupling and neurocognition in cerebral small vessel disease |
title_full | Network structure-function coupling and neurocognition in cerebral small vessel disease |
title_fullStr | Network structure-function coupling and neurocognition in cerebral small vessel disease |
title_full_unstemmed | Network structure-function coupling and neurocognition in cerebral small vessel disease |
title_short | Network structure-function coupling and neurocognition in cerebral small vessel disease |
title_sort | network structure-function coupling and neurocognition in cerebral small vessel disease |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176072/ https://www.ncbi.nlm.nih.gov/pubmed/37141644 http://dx.doi.org/10.1016/j.nicl.2023.103421 |
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