{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T20:19:31Z","timestamp":1790713171153,"version":"4.1.0"},"reference-count":45,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"1","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background and Purpose:<\/jats:title>\n                    <jats:p>Despite continuing efforts in the multimodal assessment of the motor system after stroke, conclusive findings on the complementarity of functional and structural metrics of the ipsilesional corticospinal tract integrity and the role of the contralesional hemisphere are still lacking. This research aimed to find the best combination of motor system metrics, allowing the classification of patients into 3 predefined groups of upper limb motor recovery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We enrolled 35 chronic ischemic stroke patients (mean 47 [26\u201366] years old, 29 [6\u201358] months poststroke) with a single supratentorial lesion and unilateral upper extremity weakness. Patients were divided into 3 groups, depending on upper limb motor recovery: good, moderate, and bad. Nonparametric statistical tests and regression analysis were used to investigate the relationships among microstructural (fractional anisotropy (FA) ratio of the corticospinal tracts at the internal capsule (IC) level (classic method) and along the length of the tracts (Fr\u00e9chet distance), and of the corpus callosum) and functional (motor evoked potentials [MEPs] for 2 hand muscles) motor system metrics. Stratification rules were also tested using a decision tree classifier.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>IC FA ratio in the IC and MEP absence were both equally discriminative of the bad motor outcome (96% accuracy). For the 3 recovery groups\u2019 classification, the best parameter combination was IC FA ratio and the Fr\u00e9chet distance between the contralesional and ipsilesional corticospinal tract FA profiles (91% accuracy). No other metrics had any additional value for patients\u2019 classification. MEP presence differed for 2 investigated muscles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>This study demonstrates that better separation between 3 motor recovery groups may be achieved when considering the similarity between corticospinal tract FA profiles along its length in addition to region of interest-based assessment and lesion load calculation. Additionally, IC FA ratio and MEP absence are equally important markers for poor recovery, while for MEP probing it may be important to investigate more than one hand muscle.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/strokeaha.119.028832","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T05:00:26Z","timestamp":1608008426000},"page":"241-249","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":18,"title":["Multimodal Assessment of the Motor System in Patients With Chronic Ischemic Stroke"],"prefix":"10.1161","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5347-5948","authenticated-orcid":true,"given":"Maria","family":"Nazarova","sequence":"first","affiliation":[{"name":"Centre for Cognition and Decision making, ICN, HSE University, Moscow, Russia (M.N., A.L., P.N., V.N.)."},{"name":"FSBI \u00abFederal center of brain and neurotechnologies\u00bb of the Federal Medical Biological Agency, Moscow, Russia (M.N.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sofya","family":"Kulikova","sequence":"additional","affiliation":[{"name":"HSE University, Perm, Russia (S.K., A.S.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6338-0392","authenticated-orcid":true,"given":"Michael A.","family":"Piradov","sequence":"additional","affiliation":[{"name":"Research Center of Neurology, Moscow, Russia (M.P., L.D., R.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1500-3696","authenticated-orcid":true,"given":"Alena S.","family":"Limonova","sequence":"additional","affiliation":[{"name":"Laboratory of Clinomics, National Medical Research Center for Therapy &amp; 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