Structural brain disconnectivity mapping of post-stroke fatigue
Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute a precipitating event in the multifactorial etiology of PSF, the specific predictive value of conventional lesion characteristics such as size and localization remains uncl...
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Format: | Article |
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Elsevier
2021-01-01
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Series: | NeuroImage: Clinical |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158221000796 |
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doaj-2ed7ac4bee14427fb3f32c030ad13af2 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kristine M. Ulrichsen Knut K. Kolskår Geneviève Richard Dag Alnæs Erlend S. Dørum Anne-Marthe Sanders Sveinung Tornås Jennifer Monereo Sánchez Andreas Engvig Hege Ihle-Hansen Michel Thiebaut de Schotten Jan E. Nordvik Lars T. Westlye |
spellingShingle |
Kristine M. Ulrichsen Knut K. Kolskår Geneviève Richard Dag Alnæs Erlend S. Dørum Anne-Marthe Sanders Sveinung Tornås Jennifer Monereo Sánchez Andreas Engvig Hege Ihle-Hansen Michel Thiebaut de Schotten Jan E. Nordvik Lars T. Westlye Structural brain disconnectivity mapping of post-stroke fatigue NeuroImage: Clinical Stroke Post-stroke fatigue MRI Brain mapping Structural disconnectome Lesion |
author_facet |
Kristine M. Ulrichsen Knut K. Kolskår Geneviève Richard Dag Alnæs Erlend S. Dørum Anne-Marthe Sanders Sveinung Tornås Jennifer Monereo Sánchez Andreas Engvig Hege Ihle-Hansen Michel Thiebaut de Schotten Jan E. Nordvik Lars T. Westlye |
author_sort |
Kristine M. Ulrichsen |
title |
Structural brain disconnectivity mapping of post-stroke fatigue |
title_short |
Structural brain disconnectivity mapping of post-stroke fatigue |
title_full |
Structural brain disconnectivity mapping of post-stroke fatigue |
title_fullStr |
Structural brain disconnectivity mapping of post-stroke fatigue |
title_full_unstemmed |
Structural brain disconnectivity mapping of post-stroke fatigue |
title_sort |
structural brain disconnectivity mapping of post-stroke fatigue |
publisher |
Elsevier |
series |
NeuroImage: Clinical |
issn |
2213-1582 |
publishDate |
2021-01-01 |
description |
Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute a precipitating event in the multifactorial etiology of PSF, the specific predictive value of conventional lesion characteristics such as size and localization remains unclear. The current study represents a novel approach to assess the neural correlates of PSF in chronic stroke patients. While previous research has focused primarily on lesion location or size, with mixed or inconclusive results, we targeted the extended structural network implicated by the lesion, and evaluated the added explanatory value of a structural disconnectivity approach with regards to the brain correlates of PSF. To this end, we estimated individual structural brain disconnectome maps in 84 S survivors in the chronic phase (≥3 months post stroke) using information about lesion location and normative white matter pathways obtained from 170 healthy individuals. PSF was measured by the Fatigue Severity Scale (FSS). Voxel wise analyses using non-parametric permutation-based inference were conducted on disconnectome maps to estimate regional effects of disconnectivity. Associations between PSF and global disconnectivity and clinical lesion characteristics were tested by linear models, and we estimated Bayes factor to quantify the evidence for the null and alternative hypotheses, respectively. The results revealed no significant associations between PSF and disconnectome measures or lesion characteristics, with moderate evidence in favor of the null hypothesis. These results suggest that symptoms of post-stroke fatigue among chronic stroke patients are not simply explained by lesion characteristics or the extent and distribution of structural brain disconnectome, and are discussed in light of methodological considerations. |
topic |
Stroke Post-stroke fatigue MRI Brain mapping Structural disconnectome Lesion |
url |
http://www.sciencedirect.com/science/article/pii/S2213158221000796 |
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AT kristinemulrichsen structuralbraindisconnectivitymappingofpoststrokefatigue AT knutkkolskar structuralbraindisconnectivitymappingofpoststrokefatigue AT genevieverichard structuralbraindisconnectivitymappingofpoststrokefatigue AT dagalnæs structuralbraindisconnectivitymappingofpoststrokefatigue AT erlendsdørum structuralbraindisconnectivitymappingofpoststrokefatigue AT annemarthesanders structuralbraindisconnectivitymappingofpoststrokefatigue AT sveinungtornas structuralbraindisconnectivitymappingofpoststrokefatigue AT jennifermonereosanchez structuralbraindisconnectivitymappingofpoststrokefatigue AT andreasengvig structuralbraindisconnectivitymappingofpoststrokefatigue AT hegeihlehansen structuralbraindisconnectivitymappingofpoststrokefatigue AT michelthiebautdeschotten structuralbraindisconnectivitymappingofpoststrokefatigue AT janenordvik structuralbraindisconnectivitymappingofpoststrokefatigue AT larstwestlye structuralbraindisconnectivitymappingofpoststrokefatigue |
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doaj-2ed7ac4bee14427fb3f32c030ad13af22021-06-13T04:37:58ZengElsevierNeuroImage: Clinical2213-15822021-01-0130102635Structural brain disconnectivity mapping of post-stroke fatigueKristine M. Ulrichsen0Knut K. Kolskår1Geneviève Richard2Dag Alnæs3Erlend S. Dørum4Anne-Marthe Sanders5Sveinung Tornås6Jennifer Monereo Sánchez7Andreas Engvig8Hege Ihle-Hansen9Michel Thiebaut de Schotten10Jan E. Nordvik11Lars T. Westlye12NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway; Corresponding authors at: Department of Psychology, University of Oslo, PoBox 1094 Blindern, 0317 OSLO, Norway.NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, NorwayNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, NorwayNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Bjørknes College, Oslo, NorwayNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, NorwayNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, NorwaySunnaas Rehabilitation Hospital HT, Nesodden, NorwayFaculty of Health, Medicine and Life Sciences, Maastricht University, Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, NetherlandsDepartment of Nephrology, Oslo University Hospital, Ullevål, NorwayDepartment of Neurology, Oslo University Hospital, NorwayBrain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d’Imagerie Neurofonctionnelle, Institut Des Maladies Neurodégénératives- UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, FranceCatoSenteret Rehabilitation Center, Son, NorwayNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Norway; Corresponding authors at: Department of Psychology, University of Oslo, PoBox 1094 Blindern, 0317 OSLO, Norway.Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute a precipitating event in the multifactorial etiology of PSF, the specific predictive value of conventional lesion characteristics such as size and localization remains unclear. The current study represents a novel approach to assess the neural correlates of PSF in chronic stroke patients. While previous research has focused primarily on lesion location or size, with mixed or inconclusive results, we targeted the extended structural network implicated by the lesion, and evaluated the added explanatory value of a structural disconnectivity approach with regards to the brain correlates of PSF. To this end, we estimated individual structural brain disconnectome maps in 84 S survivors in the chronic phase (≥3 months post stroke) using information about lesion location and normative white matter pathways obtained from 170 healthy individuals. PSF was measured by the Fatigue Severity Scale (FSS). Voxel wise analyses using non-parametric permutation-based inference were conducted on disconnectome maps to estimate regional effects of disconnectivity. Associations between PSF and global disconnectivity and clinical lesion characteristics were tested by linear models, and we estimated Bayes factor to quantify the evidence for the null and alternative hypotheses, respectively. The results revealed no significant associations between PSF and disconnectome measures or lesion characteristics, with moderate evidence in favor of the null hypothesis. These results suggest that symptoms of post-stroke fatigue among chronic stroke patients are not simply explained by lesion characteristics or the extent and distribution of structural brain disconnectome, and are discussed in light of methodological considerations.http://www.sciencedirect.com/science/article/pii/S2213158221000796StrokePost-stroke fatigueMRIBrain mappingStructural disconnectomeLesion |