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Clinical relevance of cortical network dynamics in early primary progressive MS

Gomez, C; Kanber, B; Eshaghi, A; Altmann, DR; Khaleeli, Z; Prados Carrasco, F; Ourselin, S; ... Ciccarelli, O; + view all (2020) Clinical relevance of cortical network dynamics in early primary progressive MS. Multiple Sclerosis Journal , 26 (4) pp. 442-456. 10.1177/1352458519831400. Green open access

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Abstract

Background: Structural cortical networks (SCNs) reflect the covariance between the cortical thickness of different brain regions, which may share common functions and a common developmental evolution. SCNs appear abnormal in neurodegenerative conditions such as Alzheimer’s and Parkinson’s diseases, but have never been assessed in primary progressive multiple sclerosis (PPMS). / Objective: To test whether SCNs are abnormal in early PPMS and change over five years, and correlate with disability worsening. / Methods: Twenty-nine PPMS patients and 13 healthy controls underwent clinical and brain MRI assessments for five years. Baseline and five-year follow-up cortical thickness values were obtained and used to build correlation matrices, considered as weighted graphs to obtain network metrics. Bootstrap-based statistics assessed SCN differences between patients and controls and between patients with fast and slow progression. / Results: At baseline, patients showed features of lower connectivity (p=0.02) and efficiency (p<0.001) than controls. Over five years, patients, especially those with fastest clinical progression, showed significant changes suggesting an increase in network connectivity (p<0.001) and efficiency (p<0.02), not observed in controls. / Conclusion: SCNs are abnormal in early PPMS. Longitudinal SCN changes demonstrated a switch from low- to high-efficiency networks especially among fast progressors, indicating their clinical relevance.

Type: Article
Title: Clinical relevance of cortical network dynamics in early primary progressive MS
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/1352458519831400
Publisher version: https://doi.org/10.1177/1352458519831400
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: primary progressive multiple sclerosis, structural covariance networks, cortical thickness, grey matter damage, robust statistical methods, bootstrapping
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10066950
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