A network-based cognitive training induces cognitive improvements and neuroplastic changes in patients with relapsing-remitting multiple sclerosis: an exploratory case-control study.

cognitive training magnetic resonance imaging multiple sclerosis neuroplasticity neuropsychology rehabilitation salience network

Journal

Neural regeneration research
ISSN: 1673-5374
Titre abrégé: Neural Regen Res
Pays: India
ID NLM: 101316351

Informations de publication

Date de publication:
Jun 2021
Historique:
entrez: 3 12 2020
pubmed: 4 12 2020
medline: 4 12 2020
Statut: ppublish

Résumé

Cognitive impairments are commonly observed in patients with multiple sclerosis and are associated with lower levels of quality of life. No consensus has been reached on how to tackle effectively cognitive decline in this clinical population non-pharmacologically. This exploratory case-control study aims to investigate the effectiveness of a hypothesis-based cognitive training designed to target multiple domains by promoting the synchronous co-activation of different brain areas and thereby improve cognition and induce changes in functional connectivity in patients with relapsing-remitting multiple sclerosis. Forty-five patients (36 females and 9 males, mean age 44.62 ± 8.80 years) with clinically stable relapsing-remitting multiple sclerosis were assigned to either a standard cognitive training or to control groups (sham training and non-active control). The standard training included twenty sessions of computerized exercises involving various cognitive functions supported by distinct brain networks. The sham training was a modified version of the standard training that comprised the same exercises and number of sessions but with increased processing speed load. The non-active control group received no cognitive training. All patients underwent comprehensive neuropsychological and magnetic resonance imaging assessments at baseline and after 5 weeks. Cognitive and resting-state magnetic resonance imaging data were analyzed using repeated measures models. At reassessment, the standard training group showed significant cognitive improvements compared to both control groups in memory tasks not specifically targeted by the training: the Buschke Selective Reminding Test and the Semantic Fluency test. The standard training group showed reductions in functional connectivity of the salience network, in the anterior cingulate cortex, associated with improvements on the Buschke Selective Reminding Test. No changes were observed in the sham training group. These findings suggest that multi-domain training that stimulates multiple brain areas synchronously may improve cognition in people with relapsing-remitting multiple sclerosis if sufficient time to process training material is allowed. The associated reduction in functional connectivity of the salience network suggests that training-induced neuroplastic functional reorganization may be the mechanism supporting performance gains. This study was approved by the Regional Ethics Committee of Yorkshire and Humber (approval No. 12/YH/0474) on November 20, 2013.

Identifiants

pubmed: 33269758
pii: NeuralRegenRes_2021_16_6_1111_300450
doi: 10.4103/1673-5374.300450
pmc: PMC8224115
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1111-1120

Déclaration de conflit d'intérêts

None

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Auteurs

Riccardo Manca (R)

Department of Neuroscience, University of Sheffield, Sheffield, UK.

Micaela Mitolo (M)

Department of Neuroscience, University of Sheffield, Sheffield, UK; Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna, Diagnostica Funzionale Neuroradiologica, Bologna, Italy.

Iain D Wilkinson (ID)

Academic Unit of Radiology, University of Sheffield, Sheffield, UK.

David Paling (D)

Department of Neuroscience, University of Sheffield; Academic Department of Neuroscience, Sheffield Teaching Hospital, National Health Service Foundation Trust, Sheffield, UK.

Basil Sharrack (B)

Academic Department of Neuroscience, Sheffield Teaching Hospital, National Health Service Foundation Trust, Sheffield, UK.

Annalena Venneri (A)

Department of Neuroscience, University of Sheffield, Sheffield, UK.

Classifications MeSH