ECTRIMS eLearning

Neural correlates of fatigue: a voxel-based morphometric MRI study in multiple sclerosis
Author(s): ,
C. van Antwerpen
Affiliations:
Clinical Research and Imaging centre | The Bristol Medical School, University of Bristol, Bristol, United Kingdom
,
G. deMarco
Affiliations:
Equipe Analyse du Mouvement en Biomécanique, Physiologie et Imagerie, Université Paris Ouest, Paris, France
,
A. Davies-Smith
Affiliations:
The Brain Centre, North Bristol NHS Trust
,
R. Jones
Affiliations:
The Brain Centre, North Bristol NHS Trust
,
N. Masuda
Affiliations:
Department of Engineering Mathematics, University of Bristol, Bristol, United Kingdom
N.J. Thai
Affiliations:
Clinical Research and Imaging centre | The Bristol Medical School, University of Bristol, Bristol, United Kingdom
ECTRIMS Learn. van Antwerpen C. 10/12/18; 228979; P1139
Christelle van Antwerpen
Christelle van Antwerpen
Contributions
Abstract

Abstract: P1139

Type: Poster Sessions

Abstract Category: Pathology and pathogenesis of MS - MRI and PET

Introduction: Over 90% of patients with multiple sclerosis (MS) report fatigue as one of their most debilitating symptoms1,9. Despite the high prevalence of fatigue, very little research has been conducted on its relationship with brain volume2,3,4,5. The current study aims to examine the relationship between fatigue and both global and regional brain volume in MS.
Methods:
Participants: 40 female participants with MS (mean age 49.8), with fatigue assessed by the Fatigue Severity Scale9 (FSS), and 40 female age matched healthy controls (HC) (mean age 49.95). Data acquisition: Scans were acquired in a 3T Siemens Skyra scanner with a 32-channel head coil. A T1-weighted inversion recovery MPRAGE giving 1mm³ voxels and 192 slices was acquired. Image Pre-processing: Images were then segmented into grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF) using the Computational Anatomy Toolbox (CAT12). Analysis: A two-sample t-test was used to compare regional GM and WM differences between MS and HC participants, on a voxel-by-voxel basis. A multiple regression was conducted with FSS scores. A two-sample t-test was conducted on the global volume and correlated with scores on the FSS.
Results:
Global volume: MS group have significantly greater CSF volume, and significantly reduced GM volume but no significant difference in WM volume compared to HC group. However, for both groups the global volumes did not correlate significantly with FSS scores.
Regional volume: MS group show GM reductions in bilateral thalamus and pallidum, right cuneus, prefrontal cortex and left precentral and middle temporal gyrus and WM reductions in bilateral superior longitudinal fasciculus, right fornix and corpus callosum and left inferior longitudinal fasciculus and superior corona radiate compared to HC. The multiple regression showed no brain regions correlated with FSS scores. Suggesting the structural atrophy of these regions are not implicated in fatigue.
Conclusion: Taking both grey and white matter atrophy into account provides evidence for a cortical-subcortical disruption in MS, specifically to the limbic and associative loops of the basal ganglia. However, no regions showed correlations with fatigue scores, which may suggest that the structural atrophy of these regions are not implicated in fatigue, but that perhaps the functional component relates to MS fatigue.
Disclosure: Christelle van Antwerpen: Nothing to disclose
Giovanni DeMarco: Nothing to disclose Angela Davies-Smith: Nothing to disclose Rosemary Jones: Nothing to disclose Naoki Masuda: Nothing to disclose N. Jade Thai: Nothing to disclose .

Abstract: P1139

Type: Poster Sessions

Abstract Category: Pathology and pathogenesis of MS - MRI and PET

Introduction: Over 90% of patients with multiple sclerosis (MS) report fatigue as one of their most debilitating symptoms1,9. Despite the high prevalence of fatigue, very little research has been conducted on its relationship with brain volume2,3,4,5. The current study aims to examine the relationship between fatigue and both global and regional brain volume in MS.
Methods:
Participants: 40 female participants with MS (mean age 49.8), with fatigue assessed by the Fatigue Severity Scale9 (FSS), and 40 female age matched healthy controls (HC) (mean age 49.95). Data acquisition: Scans were acquired in a 3T Siemens Skyra scanner with a 32-channel head coil. A T1-weighted inversion recovery MPRAGE giving 1mm³ voxels and 192 slices was acquired. Image Pre-processing: Images were then segmented into grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF) using the Computational Anatomy Toolbox (CAT12). Analysis: A two-sample t-test was used to compare regional GM and WM differences between MS and HC participants, on a voxel-by-voxel basis. A multiple regression was conducted with FSS scores. A two-sample t-test was conducted on the global volume and correlated with scores on the FSS.
Results:
Global volume: MS group have significantly greater CSF volume, and significantly reduced GM volume but no significant difference in WM volume compared to HC group. However, for both groups the global volumes did not correlate significantly with FSS scores.
Regional volume: MS group show GM reductions in bilateral thalamus and pallidum, right cuneus, prefrontal cortex and left precentral and middle temporal gyrus and WM reductions in bilateral superior longitudinal fasciculus, right fornix and corpus callosum and left inferior longitudinal fasciculus and superior corona radiate compared to HC. The multiple regression showed no brain regions correlated with FSS scores. Suggesting the structural atrophy of these regions are not implicated in fatigue.
Conclusion: Taking both grey and white matter atrophy into account provides evidence for a cortical-subcortical disruption in MS, specifically to the limbic and associative loops of the basal ganglia. However, no regions showed correlations with fatigue scores, which may suggest that the structural atrophy of these regions are not implicated in fatigue, but that perhaps the functional component relates to MS fatigue.
Disclosure: Christelle van Antwerpen: Nothing to disclose
Giovanni DeMarco: Nothing to disclose Angela Davies-Smith: Nothing to disclose Rosemary Jones: Nothing to disclose Naoki Masuda: Nothing to disclose N. Jade Thai: Nothing to disclose .

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