Cognitive impairment in early MS: contribution of white matter lesions, deep grey matter atrophy, and cortical atrophy.


Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 30 12 2019
accepted: 14 04 2020
revised: 27 03 2020
pubmed: 25 4 2020
medline: 22 6 2021
entrez: 25 4 2020
Statut: ppublish

Résumé

Cognitive impairment (CI) is a frequent and debilitating symptom in MS. To better understand the neural bases of CI in MS, this magnetic resonance imaging (MRI) study aimed to identify and quantify related structural brain changes and to investigate their relation to each other. We studied 51 patients with CI and 391 patients with cognitive preservation (CP). We analyzed three-dimensional T1-weighted and FLAIR scans at 3 Tesla. We determined mean cortical thickness as well as volumes of cortical grey matter (GM), deep GM including thalamus, cerebellar cortex, white matter, corpus callosum, and white matter lesions (WML). We also analyzed GM across the whole brain by voxel-wise and surface-based techniques. Mean disease duration was 5 years. Comparing MS patients with CI and CP, we found higher volumes of WML, lower volumes of deep and cortical GM structures, and lower volumes of the corpus callosum (all corrected p values < 0.05). Effect sizes were largest for WML and thalamic volume (standardized ß values 0.25 and - 0.25). By logistic regression analysis including both WML and thalamic volume, we found a significant effect only for WML volume. Inclusion of the interaction term of WML and thalamic volume increased the model fit and revealed a highly significant interaction of WML and thalamic volume. Moreover, voxel-wise and surface-based comparisons of MS patients with CI and CP showed regional atrophy of both deep and cortical GM independent of WML volume and overall disability, but effect sizes were lower. Although several mechanisms contribute to CI already in the early stage of MS, WML seem to be the main driver with thalamic atrophy primarily intensifying this effect.

Sections du résumé

BACKGROUND BACKGROUND
Cognitive impairment (CI) is a frequent and debilitating symptom in MS. To better understand the neural bases of CI in MS, this magnetic resonance imaging (MRI) study aimed to identify and quantify related structural brain changes and to investigate their relation to each other.
METHODS METHODS
We studied 51 patients with CI and 391 patients with cognitive preservation (CP). We analyzed three-dimensional T1-weighted and FLAIR scans at 3 Tesla. We determined mean cortical thickness as well as volumes of cortical grey matter (GM), deep GM including thalamus, cerebellar cortex, white matter, corpus callosum, and white matter lesions (WML). We also analyzed GM across the whole brain by voxel-wise and surface-based techniques.
RESULTS RESULTS
Mean disease duration was 5 years. Comparing MS patients with CI and CP, we found higher volumes of WML, lower volumes of deep and cortical GM structures, and lower volumes of the corpus callosum (all corrected p values < 0.05). Effect sizes were largest for WML and thalamic volume (standardized ß values 0.25 and - 0.25). By logistic regression analysis including both WML and thalamic volume, we found a significant effect only for WML volume. Inclusion of the interaction term of WML and thalamic volume increased the model fit and revealed a highly significant interaction of WML and thalamic volume. Moreover, voxel-wise and surface-based comparisons of MS patients with CI and CP showed regional atrophy of both deep and cortical GM independent of WML volume and overall disability, but effect sizes were lower.
CONCLUSION CONCLUSIONS
Although several mechanisms contribute to CI already in the early stage of MS, WML seem to be the main driver with thalamic atrophy primarily intensifying this effect.

Identifiants

pubmed: 32328718
doi: 10.1007/s00415-020-09841-0
pii: 10.1007/s00415-020-09841-0
pmc: PMC7359155
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2307-2318

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 428223038
Organisme : Bundesministerium für Bildung und Forschung
ID : 01GI1604A

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Auteurs

Christina Engl (C)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Laura Tiemann (L)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Sophia Grahl (S)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Matthias Bussas (M)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Paul Schmidt (P)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Viola Pongratz (V)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Achim Berthele (A)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Annkathrin Beer (A)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Christian Gaser (C)

Department of Psychiatry and Department of Neurology, Jena University Hospital, Jena, Germany.

Jan S Kirschke (JS)

Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Claus Zimmer (C)

Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.

Bernhard Hemmer (B)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377, Munich, Germany.

Mark Mühlau (M)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany. mark.muehlau@tum.de.
TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany. mark.muehlau@tum.de.

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