Impaired connectivity within neuromodulatory networks in multiple sclerosis and clinical implications
dc.contributor.author | Carotenuto, A | |
dc.contributor.author | Wilson, H | |
dc.contributor.author | Giordano, B | |
dc.contributor.author | Caminiti, SP | |
dc.contributor.author | Chappell, Z | |
dc.contributor.author | Williams, SCR | |
dc.contributor.author | Hammers, A | |
dc.contributor.author | Silber, E | |
dc.contributor.author | Brex, P | |
dc.contributor.author | Politis, M | |
dc.date.accessioned | 2020-03-30T12:49:17Z | |
dc.date.issued | 2020-03-26 | |
dc.description.abstract | There is mounting evidence regarding the role of impairment in neuromodulatory networks for neurodegenerative diseases, such as Parkinson’s and Alzheimer’s disease. However, the role of neuromodulatory networks in multiple sclerosis (MS) has not been assessed. We applied resting-state functional connectivity and graph theory to investigate the changes in the functional connectivity within neuromodulatory networks including the serotonergic, noradrenergic, cholinergic, and dopaminergic systems in MS. Twenty-nine MS patients and twenty-four age- and gender-matched healthy controls performed clinical and cognitive assessments including the expanded disability status score, symbol digit modalities test, and Hamilton Depression rating scale. We demonstrated a diffuse reorganization of network topography (P < 0.01) in serotonergic, cholinergic, noradrenergic, and dopaminergic networks in patients with MS. Serotonergic, noradrenergic, and cholinergic network functional connectivity derangement was associated with disease duration, EDSS, and depressive symptoms (P < 0.01). Derangements in serotonergic, noradrenergic, cholinergic, and dopaminergic network impairment were associated with cognitive abilities (P < 0.01). Our results indicate that functional connectivity changes within neuromodulatory networks might be a useful tool in predicting disability burden over time, and could serve as a surrogate endpoint to assess efficacy for symptomatic treatments. | en_GB |
dc.identifier.citation | Published online 26 March 2020 | en_GB |
dc.identifier.doi | 10.1007/s00415-020-09806-3 | |
dc.identifier.uri | http://hdl.handle.net/10871/120474 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Verlag | en_GB |
dc.rights | (c) 2020 The Authors. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.subject | functional connectivity | en_GB |
dc.subject | graph theory | en_GB |
dc.subject | multiple sclerosis | en_GB |
dc.subject | neurotransmitter | en_GB |
dc.subject | resting-state fMRI | en_GB |
dc.title | Impaired connectivity within neuromodulatory networks in multiple sclerosis and clinical implications | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-03-30T12:49:17Z | |
dc.identifier.issn | 0340-5354 | |
dc.description | This is the final version. Available from Springer Verlag via the DOI in this record. | en_GB |
dc.identifier.journal | Journal of Neurology | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-03-18 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-03-18 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-03-30T12:46:06Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-03-30T12:49:22Z | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as (c) 2020 The Authors. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.