Clinically reliable cognitive decline in relapsing remitting multiple sclerosis: Is it the tip of the iceberg?


Journal

Neurological research
ISSN: 1743-1328
Titre abrégé: Neurol Res
Pays: England
ID NLM: 7905298

Informations de publication

Date de publication:
Jul 2020
Historique:
pubmed: 20 5 2020
medline: 23 3 2021
entrez: 20 5 2020
Statut: ppublish

Résumé

Cognitive impairment is common in multiple sclerosis, but the brain MRI correlates in relapsing remitting multiple sclerosis remain controversial. The current study aimed to investigate whether cognitive decline can be predicted by global and/or regional brain atrophy. Sixty-three patients with relapsing remitting multiple sclerosis (36 men, mean age 39.9 ± 9.4 years old, mean EDSS 1.4 ± 1.2, mean disease duration 4.9 ± 4.3 years) and 46 healthy controls (21 men, mean age 37.5 ± 10.8 years old) were included. Demographic data were obtained, and a longitudinal neuropsychological and global and regional MRI brain volume assessment was performed. The patients performed worse than controls in most neuropsychological tests at baseline. The percentage of patients with clinically meaningful cognitive decline ranged from only 0% to 7.9%. Statistically significant volume reduction was found for all MRI measures except for the left accumbens nucleus. Whole or regional brain atrophy ranged from -0.02% to -0.25%, with subcortical structures showing the largest atrophy rates. A total of 22.2% to 93.7% patients showed atrophy across the brain structures assessed volumetrically. It was regional rather than whole-brain changes that significantly predicted cognitive decline for the patients in the tasks that tested processing speed, visuo-spatial and inhibition skills. The overall data suggest that the progression of cognitive impairment in relapsing remitting multiple sclerosis as captured by conventional neuropsychological testing is the tip of the iceberg of neurodegenerative sequelae in the disease. Also, regional volumetric changes are better than whole-brain atrophy at predicting cognitive dysfunction.

Identifiants

pubmed: 32427076
doi: 10.1080/01616412.2020.1761175
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

575-586

Auteurs

Athina Andravizou (A)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.

Vasileios Siokas (V)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.

Artemios Artemiadis (A)

Department of Neurology, Medical School, University of Cyprus , Nicosia, Cyprus.

Christos Bakirtzis (C)

Multiple Sclerosis Center, 2nd Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki , Thessaloniki, Greece.

Athina-Maria Aloizou (AM)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.

Nikolaos Grigoriadis (N)

Multiple Sclerosis Center, 2nd Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki , Thessaloniki, Greece.

Mary H Kosmidis (MH)

Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki , Thessaloniki, Greece.

Grigorios Nasios (G)

Department of Speech and Language Therapy, University of Ioannina , Ioannina, Greece.

Lambros Messinis (L)

Department of Neurology, University of Patras , Patras, Greece.

Georgios Hadjigeorgiou (G)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.
Department of Neurology, Medical School, University of Cyprus , Nicosia, Cyprus.

Efthimios Dardiotis (E)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.

Eleni Peristeri (E)

Department of Neurology, Laboratory of Neurogenetics, Faculty of Medicine, University of Thessaly, University Hospital of Larissa , Larissa, Greece.

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Classifications MeSH