Structural brain disconnectivity mapping of post-stroke fatigue
NeuroImage: Clinical. 2021-01-01; 30: 102635
DOI: 10.1016/j.nicl.2021.102635
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Ulrichsen KM(1), Kolskår KK(2), Richard G(3), Alnæs D(4), Dørum ES(2), Sanders AM(2), Tornås S(5), Sánchez JM(6), Engvig A(7), Ihle-Hansen H(8), de Schotten
MT(9), Nordvik JE(10), Westlye LT(11).
Author information:
(1)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, Norway. Electronic address: .
(2)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, Norway.
(3)NORMENT, Division of Mental Health and Addiction, Oslo University Hospital &
Institute of Clinical Medicine, University of Oslo, Norway.
(4)NORMENT, Division of Mental Health and Addiction, Oslo University Hospital &
Institute of Clinical Medicine, University of Oslo, Norway; Bjørknes College,
Oslo, Norway.
(5)Sunnaas Rehabilitation Hospital HT, Nesodden, Norway.
(6)Faculty of Health, Medicine and Life Sciences, Maastricht University,
Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University
Medical Center, Netherlands.
(7)Department of Nephrology, Oslo University Hospital, Ullevål, Norway.
(8)Department of Neurology, Oslo University Hospital, Norway.
(9)Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris,
France; Groupe d’Imagerie Neurofonctionnelle, Institut Des Maladies
Neurodégénératives- UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France.
(10)CatoSenteret Rehabilitation Center, Son, Norway.
(11)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; KG Jebsen Centre for Neurodevelopmental
Disorders, University of Oslo, Norway. Electronic address:
.
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.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.