MRI correlates of clinical disability and hand-motor performance in multiple sclerosis phenotypes
| Autor: | Claudio Cordani, Milagros Hidalgo de la Cruz, Federica Esposito, Paola Valsasina, Maria A. Rocca, Elisabetta Pagani, Alessandro Meani, Massimo Filippi |
|---|---|
| Přispěvatelé: | Cordani, C., Hidalgo de la Cruz, M., Meani, A., Valsasina, P., Esposito, F., Pagani, E., Filippi, M., Rocca, M. A. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multiple Sclerosis
Multiple sclerosis 03 medical and health sciences Motor network Multiple Sclerosis Relapsing-Remitting 0302 clinical medicine motor network medicine Humans magnetic resonance imaging Gray Matter 030304 developmental biology 0303 health sciences medicine.diagnostic_test business.industry Brain Magnetic resonance imaging Hand medicine.disease Magnetic Resonance Imaging Phenotype Neurology disability hand-motor function Neurology (clinical) business Neuroscience 030217 neurology & neurosurgery |
| Popis: | Background: Hand-motor impairment affects a large proportion of multiple sclerosis (MS) patients; however, its substrates are still poorly understood. Objectives: To investigate the association between global disability, hand-motor impairment, and alterations in motor-relevant structural and functional magnetic resonance imaging (MRI) networks in MS patients with different clinical phenotypes. Methods: One hundred thirty-four healthy controls (HC) and 364 MS patients (250 relapsing-remitting MS (RRMS) and 114 progressive MS (PMS)) underwent Expanded Disability Status Scale (EDSS) rating, nine-hole peg test (9HPT), and electronic finger tapping rate (EFTR). Structural and resting state (RS) functional MRI scans were used to perform a source-based morphometry on gray matter (GM) components, to analyze white matter (WM) tract diffusivity indices and to perform a RS seed-based approach from the primary motor cortex involved in hand movement (hand-motor cortex). Random forest analyses identified the predictors of clinical impairment. Result: In RRMS, global measures of atrophy and lesions together with measures of structural damage of motor-related regions predicted EDSS (out-of-bag (OOB)- R2 = 0.19, p-range = 2 = 0.14; left: OOB- R2 = 0.24, p-range = 2 = 0.16, p-range = 0.02–0.04). Conclusion: In RRMS, only measures of structural damage contribute to explain motor impairment, whereas both structural and functional MRI measures predict clinical disability in PMS. A multiparametric MRI approach could be relevant to investigate hand-motor impairment in different MS phenotypes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|