Literature DB >> 20063948

Response variability is associated with self-reported cognitive fatigue in multiple sclerosis.

Jared M Bruce1, Amanda S Bruce, Peter A Arnett.   

Abstract

Cognitive fatigue is a common, often debilitating symptom of multiple sclerosis (MS). Although MS patients frequently report that fatigue negatively affects cognitive functioning, most studies have found little evidence for a direct relationship between self-reported cognitive fatigue and traditional measures of neuropsychological functioning. The purpose of the present study was to examine the association between self-reported cognitive fatigue and a measure of response time variability (RTV). MS patients demonstrated significantly higher RTV than controls, and RTV was highly correlated with self-reported cognitive fatigue among relapsing-remitting and secondary progressive MS patients. Results highlight the need to implement newer methods to further elucidate the relationship between cognitive fatigue and neuropsychological functioning in MS. Copyright 2009 APA, all rights reserved.

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Year:  2010        PMID: 20063948     DOI: 10.1037/a0015046

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  14 in total

1.  Reaction time variability in HIV-positive individuals.

Authors:  Mark L Ettenhofer; Jessica Foley; Nina Behdin; Andrew J Levine; Steven A Castellon; Charles H Hinkin
Journal:  Arch Clin Neuropsychol       Date:  2010-08-26       Impact factor: 2.813

Review 2.  Parkinson's disease-related fatigue: A case definition and recommendations for clinical research.

Authors:  Benzi M Kluger; Karen Herlofson; Kelvin L Chou; Jau-Shin Lou; Christopher G Goetz; Anthony E Lang; Daniel Weintraub; Joseph Friedman
Journal:  Mov Disord       Date:  2016-02-16       Impact factor: 10.338

3.  Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study.

Authors:  Michelle H Chen; Glenn R Wylie; Brian M Sandroff; Rosalia Dacosta-Aguayo; John DeLuca; Helen M Genova
Journal:  J Neurol       Date:  2020-04-29       Impact factor: 4.849

4.  Intra-individual Variability as a Measure of Information Processing Difficulties in Multiple Sclerosis.

Authors:  Magdalena Wojtowicz; Lindsay I Berrigan; John D Fisk
Journal:  Int J MS Care       Date:  2012

5.  Change in intraindividual variability over time as a key metric for defining performance-based cognitive fatigability.

Authors:  Chao Wang; Mingzhou Ding; Benzi M Kluger
Journal:  Brain Cogn       Date:  2014-01-30       Impact factor: 2.310

6.  Increased neurocognitive intra-individual variability is associated with declines in medication adherence in HIV-infected adults.

Authors:  Nicholas S Thaler; Philip Sayegh; Alyssa Arentoft; April D Thames; Steven A Castellon; Charlie H Hinkin
Journal:  Neuropsychology       Date:  2015-03-02       Impact factor: 3.295

7.  Intraindividual variability in neurocognitive performance: No influence due to HIV status or self-reported effort.

Authors:  Andrew J Levine; Eileen Martin; Cynthia A Munro; Ned Sacktor; Steve Horvath; James T Becker
Journal:  J Clin Exp Neuropsychol       Date:  2018-08-20       Impact factor: 2.475

8.  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

9.  Relationship Between Fatigability and Perceived Fatigue Measured Using the Neurological Fatigue Index in People with Multiple Sclerosis.

Authors:  Mayis Aldughmi; Jared Bruce; Catherine F Siengsukon
Journal:  Int J MS Care       Date:  2017 Sep-Oct

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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