{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:03:36Z","timestamp":1782965016520,"version":"3.54.5"},"reference-count":35,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T00:00:00Z","timestamp":1766102400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T00:00:00Z","timestamp":1766102400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"publisher","award":["GR-2019-12369599"],"award-info":[{"award-number":["GR-2019-12369599"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"crossref","award":["Next Generation EU, Mission 4, Component 1 CUP D42"],"award-info":[{"award-number":["Next Generation EU, Mission 4, Component 1 CUP D42"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Mult Scler"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Aerobic training is a promising rehabilitation strategy in multiple sclerosis (MS). However, individual responses to exercise vary.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives:<\/jats:title>\n                    <jats:p>To assess whether baseline demographic, clinical, and MRI features in MS patients predict response to aerobic or non-aerobic training.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      Eighty-eight MS patients were randomized to 24-session aerobic (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      \u2009=\u200943) or non-aerobic (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      \u2009=\u200945) training over 2\u20133\u2009months. Responders were defined by a\u2009\u2a7e\u200921.6\u2009meters improvement in the 6-minute walking test. Baseline assessments included global disability, fatigue, walking speed, peak oxygen consumption, and structural\/functional MRI (lesion load, brain volumetrics, cortical thickness, white matter (WM) microstructural integrity, and resting-state functional connectivity). Random forest models identified baseline demographic, clinical, and MRI predictors of training response.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Thirty-four MS patients (aerobic\u2009=\u200920, non-aerobic\u2009=\u200914) were responders. Predictors of treatment response were corticospinal tract (CST) and middle cerebellar peduncle (MCP) fractional anisotropy in the aerobic group and superior cerebellar peduncle (SCP) mean diffusivity in the non-aerobic group. SCP, MCP, and CST diffusivity metrics predicted training response in whole MS cohort. Repeated cross-validation confirmed identified predictors relevance (median area under the curve from 0.648 to 0.672).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Microstructural integrity of motor-related WM tracts predicts training response in MS, highlighting the role of neuroimaging in identifying patients likely to benefit from rehabilitation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13524585251398386","type":"journal-article","created":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T07:24:17Z","timestamp":1766215457000},"page":"93-106","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Contribution of structural and functional MRI in predicting response to motor training in multiple sclerosis"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6931-4110","authenticated-orcid":false,"given":"Tetsu","family":"Morozumi","sequence":"first","affiliation":[{"name":"Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; 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Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2358-4320","authenticated-orcid":false,"given":"Maria A","family":"Rocca","sequence":"additional","affiliation":[{"name":"Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,12,19]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-018-0041-4"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(17)30281-8"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2023.104746"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2020.00255"},{"issue":"4","key":"e_1_3_3_6_2","article-title":"Heterogeneity of aerobic fitness changes with exercise training in progressive multiple sclerosis: Secondary, exploratory analysis of data from the CogEx trial","volume":"10","author":"Motl RW","year":"2024","unstructured":"Motl RW, Sandroff BM, Hernandez RS, et al. 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