Literature DB >> 25257615

Is there a cognitive signature for MS-related fatigue?

Katrin Hanken1, Paul Eling2, Helmut Hildebrandt3.   

Abstract

The compensatory approach of fatigue argues that it is a state caused by task load. The neuropsychiatric approach argues that fatigue is a trait (like depression), unrelated to environmental challenges. We propose that fatigue is an internal state that can be measured behaviorally only by applying specific cognitive tasks. PubMed was searched for articles concerning the relation between fatigue and cognitive performance or brain atrophy or functional MRI, distinguishing between the following cognitive domains: learning/memory, cognitive speed/selective attention, language, visuospatial processing, working memory, alerting/vigilance. Only tasks assessing alerting/vigilance are strongly related to fatigue. Areas with brain atrophy in fatigue patients overlap with brain regions activated in healthy controls performing alerting/vigilance tasks. Fatigue is not a compensatory state, nor a psychogenic trait. It is a feeling with behavioral effects that seems to be caused by brain atrophy or a neurochemical dysfunction of the alerting/vigilance system.
© The Author(s), 2014.

Entities:  

Keywords:  Multiple sclerosis; attentional systems; brain atrophy; cognitive testing; fatigue; neuronal networks of attention; vigilance

Mesh:

Year:  2014        PMID: 25257615     DOI: 10.1177/1352458514549567

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  16 in total

Review 1.  Social Cognition in Multiple Sclerosis: a Meta-Analysis.

Authors:  Emre Bora; Serkan Özakbaş; Dennis Velakoulis; Mark Walterfang
Journal:  Neuropsychol Rev       Date:  2016-06-20       Impact factor: 7.444

2.  Electrophysiological and behavioral effects of frontal transcranial direct current stimulation on cognitive fatigue in multiple sclerosis.

Authors:  Marina Fiene; Katharina S Rufener; Maria Kuehne; Mike Matzke; Hans-Jochen Heinze; Tino Zaehle
Journal:  J Neurol       Date:  2018-01-22       Impact factor: 4.849

3.  Neuropsychological Predictors of Fatigue in Post-COVID Syndrome.

Authors:  Jordi A Matias-Guiu; Cristina Delgado-Alonso; María Díez-Cirarda; Álvaro Martínez-Petit; Silvia Oliver-Mas; Alfonso Delgado-Álvarez; Constanza Cuevas; María Valles-Salgado; María José Gil; Miguel Yus; Natividad Gómez-Ruiz; Carmen Polidura; Josué Pagán; Jorge Matías-Guiu; José Luis Ayala
Journal:  J Clin Med       Date:  2022-07-04       Impact factor: 4.964

4.  The Relationship between Fatigue and a Clinically Accessible Measure of Switching in Individuals with Multiple Sclerosis.

Authors:  Fareshte Erani; Joshua McKeever; John D Medaglia; Maria T Schultheis
Journal:  Arch Clin Neuropsychol       Date:  2022-08-23       Impact factor: 3.448

Review 5.  The representation of inflammatory signals in the brain - a model for subjective fatigue in multiple sclerosis.

Authors:  Katrin Hanken; Paul Eling; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2014-12-11       Impact factor: 4.003

6.  Counteracting Fatigue in Multiple Sclerosis with Right Parietal Anodal Transcranial Direct Current Stimulation.

Authors:  Katrin Hanken; Mona Bosse; Kim Möhrke; Paul Eling; Andreas Kastrup; Andrea Antal; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2016-09-21       Impact factor: 4.003

7.  Functional Components of Cognitive Impairment in Multiple Sclerosis: A Cross-Sectional Investigation.

Authors:  Jordi A Matias-Guiu; Ana Cortés-Martínez; María Valles-Salgado; Celia Oreja-Guevara; Vanesa Pytel; Paloma Montero; Teresa Moreno-Ramos; Jorge Matias-Guiu
Journal:  Front Neurol       Date:  2017-11-28       Impact factor: 4.003

8.  The Impact of MS-Related Cognitive Fatigue on Future Brain Parenchymal Loss and Relapse: A 17-Month Follow-up Study.

Authors:  Carina Sander; Paul Eling; Katrin Hanken; Jan Klein; Andreas Kastrup; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2016-09-21       Impact factor: 4.003

9.  Fatigue and cognition: Pupillary responses to problem-solving in early multiple sclerosis patients.

Authors:  Sigrid A de Rodez Benavent; Gro O Nygaard; Hanne F Harbo; Siren Tønnesen; Piotr Sowa; Nils I Landrø; Marte Wendel-Haga; Lars Etholm; Kristian B Nilsen; Liv Drolsum; Emilia Kerty; Elisabeth G Celius; Bruno Laeng
Journal:  Brain Behav       Date:  2017-05-17       Impact factor: 2.708

10.  Procedural Learning Improves Cognition in Multiple Sclerosis.

Authors:  Eva M Arroyo-Anlló; Jorge Chamorro Sánchez; Alejandra R Melero Ventola; Pierre Ingrand; Jean-Philippe Neau; Roger Gil
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

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