Literature DB >> 25787051

Integrity of hypothalamic fibers and cognitive fatigue in multiple sclerosis.

Katrin Hanken1, Paul Eling2, Andreas Kastrup1, Jan Klein3, Helmut Hildebrandt4.   

Abstract

Cognitive fatigue is a common and disabling symptom of multiple sclerosis (MS), but little is known about its pathophysiology. The present study investigated whether the posterior hypothalamus, which is considered as the waking center, is associated with MS-related cognitive fatigue. We analyzed the integrity of posterior hypothalamic fibers in 49 patients with relapsing-remitting MS and 14 healthy controls. Diffusion tensor imaging (DTI) parameters were calculated for fibers between the posterior hypothalamus and, respectively, the mesencephalon, pons and prefrontal cortex. In addition, DTI parameters were computed for fibers between the anterior hypothalamus and these regions and for the corpus callosum. Cognitive fatigue was assessed using the Fatigue Scale for Motor and Cognitive Functions. Analyses of variance with repeated measures were performed to investigate the impact of cognitive fatigue on diffusion parameters. Cognitively fatigued patients (75.5%) showed a significantly lower mean axial and radial diffusivity for fibers between the posterior hypothalamus and the mesencephalon than cognitively non-fatigued patients (Group(⁎)Target area(⁎)Diffusion orientation: F=4.047; p=0.023). For fibers of the corpus callosum, MS patients presented significantly higher axial and radial diffusivity than healthy controls (Group(⁎)Diffusion orientation: F=9.904; p<0.001). Depressive mood, used as covariate, revealed significant interaction effects for anterior hypothalamic fibers (Target area(⁎)Diffusion orientation(⁎)Depression: F=5.882; p=0.021; Hemisphere(⁎)Diffusion orientation(⁎) Depression: F=8.744; p=0.008). Changes in integrity of fibers between the posterior hypothalamus and the mesencephalon appear to be associated with MS-related cognitive fatigue. These changes might cause an altered modulation of hypothalamic centers responsible for wakefulness. Furthermore, integrity of anterior hypothalamic fibers might be related to depression in MS.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brainstem; Diffusion tensor imaging; Fatigue; Histamine; Multiple sclerosis; Posterior hypothalamus

Mesh:

Year:  2014        PMID: 25787051     DOI: 10.1016/j.msard.2014.11.006

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  11 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

Review 2.  Brain Structural and Functional Alterations in Multiple Sclerosis-Related Fatigue: A Systematic Review.

Authors:  Chiara Barbi; Francesca Benedetta Pizzini; Stefano Tamburin; Alice Martini; Anna Pedrinolla; Fabio Giuseppe Laginestra; Gaia Giuriato; Camilla Martignon; Federico Schena; Massimo Venturelli
Journal:  Neurol Int       Date:  2022-06-08

Review 3.  [Therapy of fatigue in multiple sclerosis : A treatment algorithm].

Authors:  C Veauthier; F Paul
Journal:  Nervenarzt       Date:  2016-12       Impact factor: 1.214

Review 4.  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

Review 5.  The Berlin Treatment Algorithm: recommendations for tailored innovative therapeutic strategies for multiple sclerosis-related fatigue.

Authors:  Christian Veauthier; Helge Hasselmann; Stefan M Gold; Friedemann Paul
Journal:  EPMA J       Date:  2016-11-24       Impact factor: 6.543

6.  Salivary IL-1ß as an Objective Measure for Fatigue in Multiple Sclerosis?

Authors:  Katrin Hanken; Carina Sander; Lara Qaiser; Hans-Peter Schlake; Andreas Kastrup; Michael Haupts; Paul Eling; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2018-07-16       Impact factor: 4.003

7.  Analysis of the extent of limbic system changes in multiple sclerosis using FreeSurfer and voxel-based morphometry approaches.

Authors:  Amanda Frisosky Abuaf; Samuel R Bunting; Sara Klein; Timothy Carroll; Jake Carpenter-Thompson; Adil Javed; Veronica Cipriani
Journal:  PLoS One       Date:  2022-09-22       Impact factor: 3.752

Review 8.  Fatigue in Multiple Sclerosis: Neural Correlates and the Role of Non-Invasive Brain Stimulation.

Authors:  Moussa A Chalah; Naji Riachi; Rechdi Ahdab; Alain Créange; Jean-Pascal Lefaucheur; Samar S Ayache
Journal:  Front Cell Neurosci       Date:  2015-11-30       Impact factor: 5.505

Review 9.  Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis.

Authors:  Zina-Mary Manjaly; Neil A Harrison; Hugo D Critchley; Cao Tri Do; Gabor Stefanics; Nicole Wenderoth; Andreas Lutterotti; Alfred Müller; Klaas Enno Stephan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-01-25       Impact factor: 10.154

Review 10.  Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies.

Authors:  Paula M Ellison; Stuart Goodall; Niamh Kennedy; Helen Dawes; Allan Clark; Valerie Pomeroy; Martin Duddy; Mark R Baker; John M Saxton
Journal:  Neuropsychol Rev       Date:  2021-05-07       Impact factor: 6.940

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