The relationship between cognitive impairment, cognitive fatigue, and visual evoked potential latency in people with multiple sclerosis.

Cognitive fatigue Cognitive functioning Fatigue Metacognition P100 latency Visual evoked potential multiple sclerosis

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 18 07 2021
revised: 15 10 2021
accepted: 24 10 2021
entrez: 15 2 2022
pubmed: 16 2 2022
medline: 17 2 2022
Statut: ppublish

Résumé

Fatigue in people with multiple sclerosis (PwMS) can impact physical, cognitive, and psychosocial domains of daily life. The experience of fatigue in PwMS is thought to originate from the central nervous system, particularly for the domain of cognitive fatigue. Here, we tested the hypothesis that fatigue scores in PwMS would be significantly associated with an index of neural activity - the latency of the P100 of the visual evoked potential (VEP) - in line with the notion of a centralized origin of fatigue. We predicted that prolonged VEP latency would be associated with greater fatigue, and that this relationship would be the most pronounced within the domain of cognitive fatigue. PwMS (n=249) completed the Modified Fatigue Impact Scale (Global, Physical, Cognitive, and Psychosocial scales of the MFIS) and Fatigue Severity Scale. VEP latency was obtained using an alternating checkerboard paradigm. We also examined the influence of depression (Beck Depression Inventory, second edition, BDI-II) and cognitive functioning (NeuroTrax testing battery) on the VEP/fatigue relationship. Surprisingly, we observed that earlier (not later) VEP latency was significantly associated with higher MFIS Cognitive score. The negative relationship between VEP latency and cognitive fatigue was evident in PwMS that had poor cognitive performance as measured by a latent variable that reflected attention, executive function, information processing speed, and motor skills; but a significant relationship was not observed in PwMS that exhibited good performance on this measure. These findings can be interpreted within a metacognitive framework - greater fatigue may be perceived when neural performance and the level of mental effort expended does not translate to efficient cognitive performance. Cognitive fatigue may be particularly salient in PwMS when neural resources are unable to compensate for cognitive difficulties. The mismatch between the expectation of what ought to occur and what does occur during cognitive performance may be a key feature of the experience of cognitive fatigue for some PwMS.

Sections du résumé

BACKGROUND BACKGROUND
Fatigue in people with multiple sclerosis (PwMS) can impact physical, cognitive, and psychosocial domains of daily life. The experience of fatigue in PwMS is thought to originate from the central nervous system, particularly for the domain of cognitive fatigue. Here, we tested the hypothesis that fatigue scores in PwMS would be significantly associated with an index of neural activity - the latency of the P100 of the visual evoked potential (VEP) - in line with the notion of a centralized origin of fatigue. We predicted that prolonged VEP latency would be associated with greater fatigue, and that this relationship would be the most pronounced within the domain of cognitive fatigue.
METHODS METHODS
PwMS (n=249) completed the Modified Fatigue Impact Scale (Global, Physical, Cognitive, and Psychosocial scales of the MFIS) and Fatigue Severity Scale. VEP latency was obtained using an alternating checkerboard paradigm. We also examined the influence of depression (Beck Depression Inventory, second edition, BDI-II) and cognitive functioning (NeuroTrax testing battery) on the VEP/fatigue relationship.
RESULTS RESULTS
Surprisingly, we observed that earlier (not later) VEP latency was significantly associated with higher MFIS Cognitive score. The negative relationship between VEP latency and cognitive fatigue was evident in PwMS that had poor cognitive performance as measured by a latent variable that reflected attention, executive function, information processing speed, and motor skills; but a significant relationship was not observed in PwMS that exhibited good performance on this measure.
CONCLUSIONS CONCLUSIONS
These findings can be interpreted within a metacognitive framework - greater fatigue may be perceived when neural performance and the level of mental effort expended does not translate to efficient cognitive performance. Cognitive fatigue may be particularly salient in PwMS when neural resources are unable to compensate for cognitive difficulties. The mismatch between the expectation of what ought to occur and what does occur during cognitive performance may be a key feature of the experience of cognitive fatigue for some PwMS.

Identifiants

pubmed: 35158458
pii: S2211-0348(21)00616-7
doi: 10.1016/j.msard.2021.103349
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103349

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Auteurs

Thomas J Covey (TJ)

Division of Cognitive and Behavioral Neurosciences, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Sherman Hall Annex Room 114, Buffalo, NY, 14214, USA; Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. Electronic address: tjcovey@buffalo.edu.

Daniel Golan (D)

Department of Neurology and Multiple Sclerosis Center, Lady Davis Carmel Medical Center, Haifa, Israel; Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.

Glen M Doniger (GM)

Department of Clinical Research, NeuroTrax Corporation, Modiin, Israel.

Robert Sergott (R)

Wills Eye Institute; Annesley EyeBrain Center, Thomas Jefferson University, Philadelphia, PA, USA.

Myassar Zarif (M)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA.

Barbara Bumstead (B)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA.

Marijean Buhse (M)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA.

Olivia Kaczmarek (O)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA.

Samson Mebrahtu (S)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA.

Catie Bergmann (C)

Washington Neuropsychology Research Group, Fairfax, VA, USA; Department of Neurology, Georgetown University, Washington, DC, USA.

Jeffrey Wilken (J)

Washington Neuropsychology Research Group, Fairfax, VA, USA; Department of Neurology, Georgetown University, Washington, DC, USA.

Mark Gudesblatt (M)

South Shore Neurologic Associates, 712 Main Street, Islip, Patchogue, NY, USA. Electronic address: mark.gudesblatt.md@southshoreneurologic.com.

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Classifications MeSH