Literature DB >> 32350648

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

Michelle H Chen1,2, Glenn R Wylie1,2, Brian M Sandroff3, Rosalia Dacosta-Aguayo1,2, John DeLuca1,2, Helen M Genova4,5.   

Abstract

Neuroimaging underpinnings of state (in the moment, transient) mental fatigue in multiple sclerosis (MS) are not well understood. The current pilot study examined the effect of state mental fatigue on brain activation (measured using functional magnetic resonance imaging [fMRI]) during conditions of varying cognitive loads of rapid information processing in persons with MS relative to healthy controls. Nineteen persons with MS and 17 healthy controls underwent fMRI scanning while performing a modified version of the Symbol Digit Modalities Test, which consisted of high and low cognitive load conditions with comparable visual stimulation. State mental fatigue was assessed using the Visual Analog Scale of Fatigue before and after each run of the behavioral task. Results indicated that the healthy control group recruited significantly more anterior brain regions (superior and middle frontal gyri, insula, and superior temporal gyrus) to meet increased task demands during the high cognitive load condition as fatigue level increased (p < 0.05), which was accompanied by shorter response time. In contrast, the MS group did not recruit anterior areas to the same extent as the healthy control group as task demands and fatigue increased. Indeed, the MS group continued to activate more posterior brain regions (precuneus, lingual gyrus, and middle occipital gyrus) for the high cognitive load condition (p < 0.05) with no improvement in speed. In conclusion, persons with MS may allocate neural resources less efficiently than healthy controls when faced with increased task demands, which may result in increased mental fatigue. Results of the current pilot investigation warrant replication with a larger sample size.

Entities:  

Keywords:  Cognitive fatigue; Mental fatigue; Multiple sclerosis; Neuroimaging; State fatigue; fMRI

Mesh:

Year:  2020        PMID: 32350648     DOI: 10.1007/s00415-020-09853-w

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  19 in total

Review 1.  Fatigue and basal ganglia.

Authors:  A Chaudhuri; P O Behan
Journal:  J Neurol Sci       Date:  2000-10-01       Impact factor: 3.181

2.  Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging.

Authors:  Helen M Genova; Frank G Hillary; Glenn Wylie; Bart Rypma; John Deluca
Journal:  J Int Neuropsychol Soc       Date:  2009-05       Impact factor: 2.892

Review 3.  Neural correlates of cognitive fatigue: cortico-striatal circuitry and effort-reward imbalance.

Authors:  Ekaterina Dobryakova; John DeLuca; Helen M Genova; Glenn R Wylie
Journal:  J Int Neuropsychol Soc       Date:  2013-07-10       Impact factor: 2.892

4.  Relationship of cortical atrophy to fatigue in patients with multiple sclerosis.

Authors:  Clelia Pellicano; Antonio Gallo; Xiaobai Li; Vasiliki N Ikonomidou; Iordanis E Evangelou; Joan M Ohayon; Susan K Stern; Mary Ehrmantraut; Fredric Cantor; Henry F McFarland; Francesca Bagnato
Journal:  Arch Neurol       Date:  2010-04

5.  Different cortical underpinnings for fatigue and depression in MS?

Authors:  Katrin Hanken; Paul Eling; Jan Klein; Esther Klaene; Helmut Hildebrandt
Journal:  Mult Scler Relat Disord       Date:  2016-02-07       Impact factor: 4.339

6.  Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI.

Authors:  John DeLuca; Helen M Genova; Frank G Hillary; Glenn Wylie
Journal:  J Neurol Sci       Date:  2008-03-11       Impact factor: 3.181

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

Authors:  Jared M Bruce; Amanda S Bruce; Peter A Arnett
Journal:  Neuropsychology       Date:  2010-01       Impact factor: 3.295

8.  Subjective cognitive fatigue in multiple sclerosis depends on task length.

Authors:  Joshua Sandry; Helen M Genova; Ekaterina Dobryakova; John DeLuca; Glenn Wylie
Journal:  Front Neurol       Date:  2014-10-27       Impact factor: 4.003

9.  Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging.

Authors:  Helen M Genova; Venkateswaran Rajagopalan; John Deluca; Abhijit Das; Allison Binder; Aparna Arjunan; Nancy Chiaravalloti; Glenn Wylie
Journal:  PLoS One       Date:  2013-11-01       Impact factor: 3.240

Review 10.  Management of fatigue in persons with multiple sclerosis.

Authors:  Fary Khan; Bhasker Amatya; Mary Galea
Journal:  Front Neurol       Date:  2014-09-15       Impact factor: 4.003

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  13 in total

1.  Associations of White Matter and Basal Ganglia Microstructure to Cognitive Fatigue Rate in Multiple Sclerosis.

Authors:  Cristina A F Román; Glenn R Wylie; John DeLuca; Bing Yao
Journal:  Front Neurol       Date:  2022-07-04       Impact factor: 4.086

2.  Fatigue Across the Lifespan in Men and Women: State vs. Trait.

Authors:  Glenn R Wylie; Amanda J Pra Sisto; Helen M Genova; John DeLuca
Journal:  Front Hum Neurosci       Date:  2022-05-09       Impact factor: 3.473

3.  Delayed access to conscious processing in multiple sclerosis: Reduced cortical activation and impaired structural connectivity.

Authors:  Arzu C Has Silemek; Jean-Philippe Ranjeva; Bertrand Audoin; Christoph Heesen; Stefan M Gold; Simone Kühn; Martin Weygandt; Jan-Patrick Stellmann
Journal:  Hum Brain Mapp       Date:  2021-04-07       Impact factor: 5.038

4.  Cognitive Fatigue Is Associated with Altered Functional Connectivity in Interoceptive and Reward Pathways in Multiple Sclerosis.

Authors:  Michelle H Chen; John DeLuca; Helen M Genova; Bing Yao; Glenn R Wylie
Journal:  Diagnostics (Basel)       Date:  2020-11-10

5.  Using functional connectivity changes associated with cognitive fatigue to delineate a fatigue network.

Authors:  G R Wylie; B Yao; H M Genova; M H Chen; J DeLuca
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

Review 6.  New Strategies for Rehabilitation and Pharmacological Treatment of Fatigue Syndrome in Multiple Sclerosis.

Authors:  Ewa Zielińska-Nowak; Lidia Włodarczyk; Joanna Kostka; Elżbieta Miller
Journal:  J Clin Med       Date:  2020-11-07       Impact factor: 4.241

7.  Signal Detection Theory as a Novel Tool to Understand Cognitive Fatigue in Individuals With Multiple Sclerosis.

Authors:  Cristina A F Román; John DeLuca; Bing Yao; Helen M Genova; Glenn R Wylie
Journal:  Front Behav Neurosci       Date:  2022-03-16       Impact factor: 3.558

Review 8.  Multiple sclerosis-related fatigue lacks a unified definition: A narrative review.

Authors:  Iman Adibi; Mehdi Sanayei; Farinaz Tabibian; Neda Ramezani; Ahmad Pourmohammadi; Kiarash Azimzadeh
Journal:  J Res Med Sci       Date:  2022-03-17       Impact factor: 1.852

9.  The Effect of Coffee and Caffeine Consumption on Patients with Multiple Sclerosis-Related Fatigue.

Authors:  Lena Herden; Robert Weissert
Journal:  Nutrients       Date:  2020-07-28       Impact factor: 5.717

10.  Changes in plant function and root mycobiome caused by flood and drought in a riparian tree.

Authors:  Clara Martínez-Arias; Juan Sobrino-Plata; David Macaya-Sanz; Natalie Marie Aguirre; Carmen Collada; Luis Gil; Juan Antonio Martín; Jesús Rodríguez-Calcerrada
Journal:  Tree Physiol       Date:  2020-06-30       Impact factor: 4.196

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