Manca, R., Sharrack, B., Paling, D. et al. (2 more authors) (2018) Brain connectivity and cognitive processing speed in multiple sclerosis: A systematic review. Journal of Neurological Sciences, 388. pp. 115-127. ISSN 1300-1817
Abstract
Background: Processing speed (PS) decline is the most commonly observed cognitive deficit in people with multiple sclerosis (MS) resulting in a significant impact on quality of life. Despite its importance, knowledge of the underlying neural substrates is lacking. Objective: As MS is increasingly recognised as a disconnection syndrome, our aim was to carry out a systematic literature review to clarify the relationship between PS performance and MRI measures of structural and functional brain connectivity in people with MS. Search methods: A literature search was carried out on PubMed and Web of Science that included publications predating September 2017. Additional articles were added after inspection of the reference lists of all selected papers. Data extraction: All selected papers were categorised in three sections according to the MRI measures investigated, independently or both. Quality assessment was carried out using a customised set of criteria. Results: Thirty-two articles met the inclusion criteria and were included in the review. Microstructural integrity of the anterior corpus callosum and functional connectivity of frontal areas were more consistently found to correlate with PS performance, though high variability of findings was observed across studies. Several methodological flaws emerged from the reviewed literature. Conclusions: Despite the observed trends, no definite conclusions can be drawn on the relationship between brain connectivity and PS decline in MS given the limitations of the current literature. Future investigations may benefit from theoretical and methodological advances to clarify how MS-related brain damage affects patients’ cognition.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Published by Elsevier B.V.. This is an author produced version of a paper subsequently published in Journal of the Neurological Sciences. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield) The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 19 Mar 2018 16:47 |
Last Modified: | 02 Mar 2019 01:38 |
Published Version: | https://doi.org/10.1016/j.jns.2018.03.003 |
Status: | Published |
Publisher: | Ege University Press |
Refereed: | Yes |
Identification Number: | 10.1016/j.jns.2018.03.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128708 |
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