Literature DB >> 27063629

Different cortical underpinnings for fatigue and depression in MS?

Katrin Hanken1, Paul Eling2, Jan Klein3, Esther Klaene4, Helmut Hildebrandt5.   

Abstract

BACKGROUND: Fatigue is a common complaint in MS patients but its origins are still not fully understood. A major difficulty is that fatigue seems strongly correlated with depression.
METHODS: 95 MS patients and 15 healthy control subjects were included. The Fatigue Severity Scale and Beck's Depression Inventory were used to assess symptom-severity and to determine group membership for five groups: MS patients with and without fatigue, and with or without depressive mood, healthy controls. Participants were scanned using high-resolution structural 3D T1-weighted imaging. Cortical thickness for 84 areas was calculated using the NeuroQLab software in combination with the atlas for the Automated Anatomical Labeling software. A stepwise forward regression analysis was performed to predict group membership of the MS patients by thickness of cortical areas. We also performed a series of post-hoc ANOVAs to explore differences between the four patients groups and the healthy controls.
RESULTS: About 20% of the patients suffered only from fatigue or only from depressive mood. Regression analysis explained 17.3% of the variance and thickness of the right inferior parietal cortex, middle temporal pole and parahippocampus contributed significantly to the model. Patients with pure fatigue showed a specific decrease in cortical thickness in the inferior parietal lobe, patients with both depressive mood and fatigue in the right middle temporal pole. Additional ANOVAs revealed cortical thinning in the right middle cingulate cortex in the group with pure fatigue as well as the groups with depression.
CONCLUSION: Fatigue and depression can be dissociated in larger MS-patient groups using questionnaires and cortical thickness measures, but the cortical thickness measures only explain a small portion of variance of these neuropsychiatric symptoms.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain atrophy; Cortical thickness measures; Depressive mood; Fatigue; Multiple sclerosis

Mesh:

Year:  2016        PMID: 27063629     DOI: 10.1016/j.msard.2016.02.005

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


  10 in total

1.  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

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

3.  Trait mindfulness is primarily associated with depression and not with fatigue in multiple sclerosis (MS): implications for mindfulness-based interventions.

Authors:  Torsten Sauder; Philipp M Keune; Roy Müller; Thomas Schenk; Patrick Oschmann; Sascha Hansen
Journal:  BMC Neurol       Date:  2021-03-16       Impact factor: 2.474

4.  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

5.  Structural and Neuronal Integrity Measures of Fatigue Severity in Multiple Sclerosis.

Authors:  Evanthia Bernitsas; Kalyan Yarraguntla; Fen Bao; Rishi Sood; Carla Santiago-Martinez; Rajkumar Govindan; Omar Khan; Navid Seraji-Bozorgzad
Journal:  Brain Sci       Date:  2017-08-12

6.  Into the Moment: Does Mindfulness Affect Biological Pathways in Multiple Sclerosis?

Authors:  Barbara Willekens; Gaetano Perrotta; Patrick Cras; Nathalie Cools
Journal:  Front Behav Neurosci       Date:  2018-05-22       Impact factor: 3.558

7.  Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis.

Authors:  Einar August Høgestøl; Gro Owren Nygaard; Dag Alnæs; Mona K Beyer; Lars T Westlye; Hanne Flinstad Harbo
Journal:  PLoS One       Date:  2019-04-01       Impact factor: 3.240

8.  History of fatigue in multiple sclerosis is associated with grey matter atrophy.

Authors:  Miklos Palotai; Aria Nazeri; Michele Cavallari; Brian C Healy; Bonnie Glanz; Stefan M Gold; Howard L Weiner; Tanuja Chitnis; Charles R G Guttmann
Journal:  Sci Rep       Date:  2019-10-14       Impact factor: 4.379

Review 9.  Cognitive Dysfunction in the Early Stages of Multiple Sclerosis-How Much and How Important?

Authors:  Magdalena Oset; Mariusz Stasiolek; Mariola Matysiak
Journal:  Curr Neurol Neurosci Rep       Date:  2020-05-22       Impact factor: 5.081

Review 10.  Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes.

Authors:  Tanuja Chitnis; Jo Vandercappellen; Miriam King; Giampaolo Brichetto
Journal:  Neurol Ther       Date:  2022-06-09
  10 in total

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