{"doi":"10.1016/j.apmr.2025.05.019","title":"Muscle Synergy Analysis for Clinical Characterization of Upper Limb Motor Recovery After Stroke","abstract":null,"journal":"Archives of Physical Medicine and Rehabilitation","year":2026,"id":678448,"datarank":0.3453877639491069,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.0,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":482939,"name":"Giacomo Severini","orcid":"0000-0002-2289-9331","position":1,"is_corresponding":false},{"id":1772616,"name":"Lorenza Maistrello","orcid":null,"position":2,"is_corresponding":false},{"id":1772617,"name":"Daniele Rimini","orcid":null,"position":3,"is_corresponding":false},{"id":1772618,"name":"Tiziana Lencioni","orcid":null,"position":4,"is_corresponding":false},{"id":1772619,"name":"Ilaria Carpinella","orcid":null,"position":5,"is_corresponding":false},{"id":1772620,"name":"Maurizio Ferrarin","orcid":null,"position":6,"is_corresponding":false},{"id":1772621,"name":"Johanna Jonsdottir","orcid":null,"position":7,"is_corresponding":false},{"id":1772622,"name":"Vincent C.K. Cheung","orcid":null,"position":8,"is_corresponding":false},{"id":1772623,"name":"Andrea Turolla","orcid":null,"position":9,"is_corresponding":false},{"id":1772615,"name":"Giorgia Pregnolato","orcid":"0000-0002-4622-6393","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Muscle Synergy Analysis for Clinical Characterization of Upper Limb Motor Recovery After Stroke","abstract":"OBJECTIVE: To characterize individuals with stroke who responded or did not respond to upper limb motor treatment by analyzing muscle synergy patterns (similarity, merging, and fractionation). DESIGN: This study is a secondary analysis of a multicenter randomized controlled trial. SETTING: Inpatients of 2 specialized neurorehabilitation hospitals. PARTICIPANTS: We enrolled individuals (N=62) with a unilateral first-event ischemic or hemorrhagic stroke and severe-to-mild upper limb motor impairment (Fugl-Meyer Assessment-Upper Extremity score of 5-61, of 66). We excluded people with untreated seizure, severe cognitive, or verbal comprehension impairment. INTERVENTIONS: After randomization, individuals were allocated to conventional, virtual reality, or robot-assisted treatment groups (20 sessions, 1 h/d, 5 d/wk, 4wk). MAIN OUTCOME MEASURES: A blinded assessor performed assessments both before and after the intervention. Surface electromyography recordings from 16 muscles during reaching tasks were collected pre- and post-treatment. We extracted muscle synergy patterns (similarity, merging, and fractionation) of the stroke-affected and unaffected upper limb of each subject. RESULTS: Overall, individuals improved upper limb motor function (Fugl-Meyer Assessment-Upper Extremity change score=7.14±7.46; P<.001). We identified 34 responders to treatment showing clinically significant improvement (over the Minimal Clinically Important Difference of 5 points on the Fugl-Meyer Assessment-Upper Extremity). The responders showed decreased merging of synergies (P=.016) as compared with the non-responders (P=.025), who conversely showed improved similarity of synergies (P=.006). CONCLUSIONS: In individuals with stroke undergoing upper limb motor rehabilitation, changes in the synergy merging pattern may serve as a potential marker to distinguish responders from non-responders.","is_dataset_classified":null,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"40484193","pmcid":null,"openalex_id":"https://openalex.org/W4411077375","authors":[],"funders":[{"funder_name":"Ministero della Salute","grant_id":"GR-2011-02348942","title":null},{"funder_name":"Ministero della Salute","grant_id":"RF-2019-12371486","title":null},{"funder_name":"Research Grants Council of the Hong Kong Special Administrative Region, China","grant_id":"14114721","title":null},{"funder_name":"Research Grants Council of the Hong Kong Special Administrative Region, China","grant_id":"N_CUHK456/21","title":null},{"funder_name":"Research Grants Council of the Hong Kong Special Administrative Region, China","grant_id":"R4022-18","title":null},{"funder_name":"Research Grants Council of the Hong Kong Special Administrative Region, China","grant_id":"14119022","title":null},{"funder_name":"EU Framework Programme for Research and Innovation Marie Skłodowska-Curie Actions","grant_id":"101034252","title":"Advanced skills for data analytics in neurological diseases"},{"funder_name":"The Chinese University of Hong Kong","grant_id":"2020.095","title":null},{"funder_name":"The Chinese University of Hong Kong","grant_id":"2021.065","title":null},{"funder_name":"European Commission","grant_id":"","title":null},{"funder_name":"Research Grants Council, University Grants Committee","grant_id":"","title":null},{"funder_name":"European Union - NextGenerationEU","grant_id":"","title":null},{"funder_name":"Italian Ministry of Health","grant_id":"","title":null},{"funder_name":"Horizon 2020 Framework Programme","grant_id":"","title":null}],"total_grants":14,"fwci":4.5132,"citation_percentile":0.94605889,"influential_citations":0,"citation_trend":[{"year":2025,"count":6},{"year":2026,"count":3}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://www.archives-pmr.org/action/showPdf?pii=S0003999325007269","host_type":"journal"},{"url":"https://www.archives-pmr.org/action/showPdf?pii=S0003999325007269","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0003999325007269?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S0003999325007269?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.apmr.2025.05.019","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/40484193","host_type":"repository"},{"url":"https://www.archives-pmr.org/article/S0003-9993(25)00726-9/fulltext","host_type":"repository"},{"url":"https://hdl.handle.net/11585/1048430","host_type":""},{"url":"http://dx.doi.org/10.1016/j.apmr.2025.05.019","host_type":""}],"fields_of_study":["Stroke Rehabilitation and Recovery","Motor Control and Adaptation","Muscle activation and electromyography studies","03 medical and health sciences","0305 other medical science"],"mesh_terms":["Stroke Rehabilitation","Aged","Electromyography","Female","Humans","Male","Middle Aged","Robotics","Muscle, Skeletal","Recovery of Function","Stroke","Upper Extremity"],"keywords":["Physical medicine and rehabilitation","Upper limb","Stroke (engine)","Medicine","Rehabilitation","Physical therapy","Upper extremity","Stroke","Surface electromyography","Motor control","Neurorehabilitation","Muscle Synergies","Motor control; Muscle synergies; Neurorehabilitation; Rehabilitation; Stroke; Surface Electromyography; Upper extremity"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"nct"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-17T05:26:23.233920Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}