Literature DB >> 22336698

Detecting cognitive fatigue in multiple sclerosis: method matters.

L A S Walker1, J A Berard, L I Berrigan, L M Rees, M S Freedman.   

Abstract

BACKGROUND: Fatigue is a frequently reported and debilitating symptom in multiple sclerosis (MS). Cognitive fatigue (CF) can be defined as decreased performance with sustained cognitive effort. The effectiveness of the Paced Auditory Serial Addition Task (PASAT) and the Computerized Test of Information Processing (CTIP) at detecting CF was examined, as was the impact of methodology. Subjective fatigue was measured using the Fatigue Impact Scale (FIS). The relationship between objective and subjective fatigue was examined.
METHODS: 70 MS and 72 healthy controls (HC) completed the PASAT (3″ and 2″), CTIP, and FIS as part of a larger battery.
RESULTS: The MS and HCs performed worse on cognitively demanding tasks. Depending on methodology, PASAT performance varied between groups at the 3″ inter-stimulus interval (ISI) and the MS group showed greater susceptibility to CF as their ability to meet task demands declined as the task progressed. CTIP performance for both groups varied differently over time depending on task. The relationship between subjective and objective measures of fatigue varied depending on methodology, with PASAT generally correlating well with the Cognitive Dimension of the FIS.
CONCLUSIONS: The PASAT is a sensitive measure of CF in MS. Additional information is obtained with different scoring methods, with percent dyad scoring method being most sensitive to CF. The ability to detect a relationship between objective and subjective measures varied with methodology.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22336698     DOI: 10.1016/j.jns.2012.01.021

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  16 in total

1.  Uncovering the association between fatigue and fatigability in multiple sclerosis using cognitive control.

Authors:  Eli K Cehelyk; Denise Y Harvey; Meghan L Grubb; Rasha Jalel; Mohammad S El-Sibai; Clyde E Markowitz; Joseph R Berger; Roy H Hamilton; Salim Chahin
Journal:  Mult Scler Relat Disord       Date:  2018-10-27       Impact factor: 4.339

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.  Inhibition of astrocytic DRD2 suppresses CNS inflammation in an animal model of multiple sclerosis.

Authors:  Shen-Zhao Lu; Yue Wu; Yong-Shun Guo; Pei-Zhou Liang; Shu Yin; Yan-Qing Yin; Xiu-Li Zhang; Yan-Fang Liu; Hong-Yan Wang; Yi-Chuan Xiao; Xin-Miao Liang; Jia-Wei Zhou
Journal:  J Exp Med       Date:  2022-07-25       Impact factor: 17.579

4.  Italian translation and validation of fatigue symptoms and impacts questionnaire in relapsing multiple sclerosis (FSIQ-RMS).

Authors:  Ilaria Ruotolo; Giovanni Sellitto; Antonio Ianniello; Nikolaos Petsas; Letizia Castelli; Giovanni Galeoto; Anna Berardi; Valeria Barletta; Antonella Conte; Carlo Pozzilli
Journal:  Neurol Sci       Date:  2022-04-22       Impact factor: 3.830

Review 5.  Fatigue and Human Performance: An Updated Framework.

Authors:  Florian Husmann; Matthias Weippert; Martin Behrens; Martin Gube; Helmi Chaabene; Olaf Prieske; Alexandre Zenon; Kim-Charline Broscheid; Lutz Schega
Journal:  Sports Med       Date:  2022-10-18       Impact factor: 11.928

6.  Development and Validation of the State-Trait Inventory of Cognitive Fatigue in Community-Dwelling Older Adults.

Authors:  Melissa Shuman-Paretsky; Vance Zemon; Frederick W Foley; Roee Holtzer
Journal:  Arch Phys Med Rehabil       Date:  2016-08-26       Impact factor: 3.966

7.  Psychometric properties of the Brief Fatigue Inventory in community-dwelling older adults.

Authors:  Melissa J Shuman-Paretsky; Janna Belser-Ehrlich; Roee Holtzer
Journal:  Arch Phys Med Rehabil       Date:  2014-04-14       Impact factor: 3.966

8.  A Longitudinal Evaluation of Cognitive Fatigue on a Task of Sustained Attention in Early Relapsing-Remitting Multiple Sclerosis.

Authors:  Jason A Berard; Andra M Smith; Lisa A S Walker
Journal:  Int J MS Care       Date:  2018 Mar-Apr

Review 9.  The dopamine imbalance hypothesis of fatigue in multiple sclerosis and other neurological disorders.

Authors:  Ekaterina Dobryakova; Helen M Genova; John DeLuca; Glenn R Wylie
Journal:  Front Neurol       Date:  2015-03-12       Impact factor: 4.003

10.  Does Intensive Training of Attention Influence Cognitive Fatigability in Patients With Acquired Brain Injury?

Authors:  Anna Holmqvist; Aniko Bartfai; Gabriela Markovic; Marika C Möller
Journal:  Front Neurosci       Date:  2021-07-01       Impact factor: 4.677

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