Disrupted principal network organisation in multiple sclerosis relates to disability.

Adult Brain / diagnostic imaging Cohort Studies Disabled Persons / psychology Female Humans Magnetic Resonance Imaging Male Middle Aged Motor Activity Multiple Sclerosis / diagnostic imaging Nerve Net White Matter / diagnostic imaging

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
27 02 2020
Historique:
received: 28 10 2019
accepted: 13 02 2020
entrez: 29 2 2020
pubmed: 29 2 2020
medline: 21 11 2020
Statut: epublish

Résumé

Structural network-based approaches can assess white matter connections revealing topological alterations in multiple sclerosis (MS). However, principal network (PN) organisation and its clinical relevance in MS has not been explored yet. Here, structural networks were reconstructed from diffusion data in 58 relapsing-remitting MS (RRMS), 28 primary progressive MS (PPMS), 36 secondary progressive (SPMS) and 51 healthy controls (HCs). Network hubs' strengths were compared with HCs. Then, PN analysis was performed in each clinical subtype. Regression analysis was applied to investigate the associations between nodal strength derived from the first and second PNs (PN1 and PN2) in MS, with clinical disability. Compared with HCs, MS patients had preserved hub number, but some hubs exhibited reduced strength. PN1 comprised 10 hubs in HCs, RRMS and PPMS but did not include the right thalamus in SPMS. PN2 comprised 10 hub regions with intra-hemispheric connections in HCs. In MS, this subnetwork did not include the right putamen whilst in SPMS the right thalamus was also not included. Decreased nodal strength of the right thalamus and putamen from the PNs correlated strongly with higher clinical disability. These PN analyses suggest distinct patterns of disruptions in MS subtypes which are clinically relevant.

Identifiants

DOI: 10.1038/s41598-020-60611-4 PMID: 32108146 PMC: PMC7046772
pubmed: 32108146
doi: 10.1038/s41598-020-60611-4
pii: 10.1038/s41598-020-60611-4
pmc: PMC7046772
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3620

Subventions

Organisme : Medical Research Council
ID : MR/J01107X/1
Pays : United Kingdom

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Auteurs

Thalis Charalambous (T)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
ORCID: 0000-0002-6919-4486

Jonathan D Clayden (JD)

UCL GOS Institute of Child Health, University College London, London, UK.

Elizabeth Powell (E)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Medical Physics and Biomedical Engineering, University College London, London, UK.

Ferran Prados (F)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL, London, WC1V 6LJ, UK.
eHealth Centre, Universitat Oberta de Catalunya, Barcelona, Spain.
ORCID: 0000-0002-7872-0142

Carmen Tur (C)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
ORCID: 0000-0003-1849-3184

Baris Kanber (B)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL, London, WC1V 6LJ, UK.
ORCID: 0000-0003-2443-8800

Declan Chard (D)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Sebastien Ourselin (S)

Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL, London, WC1V 6LJ, UK.

Claudia A M Gandini Wheeler-Kingshott (CAMG)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Brain MRI 3T Research Center, C. Mondino National Neurological Institute, Pavia, Italy.
Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.

Alan J Thompson (AJ)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
ORCID: 0000-0002-4333-8496

Ahmed T Toosy (AT)

Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK. a.toosy@ucl.ac.uk.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Disrupted principal network organisation in...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Disrupted principal network organisation in...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Disrupted principal network organisation in...
questionsmedicales.fr › Personnes › Personnes handicapées › Disrupted principal network organisation in...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Disrupted principal network organisation in...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Disrupted principal network organisation in...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Disrupted principal network organisation in...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Mouvement › Activité motrice › Disrupted principal network organisation in...
questionsmedicales.fr › Maladies du système immunitaire › Maladies auto-immunes › Maladies auto-immunes du système nerveux › Maladies démyélinisantes auto-immunes du SNC › Sclérose en plaques › Disrupted principal network organisation in...
questionsmedicales.fr › Système nerveux › Réseau nerveux › Disrupted principal network organisation in...
questionsmedicales.fr › Système nerveux › Système nerveux central › Moelle spinale › Substance blanche › Disrupted principal network organisation in...