{"doi":"10.1111/dmcn.15524","title":"Determinants of gait dystonia severity in cerebral palsy","abstract":"AIM: To determine the movement features governing expert assessment of gait dystonia severity in individuals with cerebral palsy (CP). METHOD: In this prospective cohort study, three movement disorder neurologists graded lower extremity dystonia severity in gait videos of individuals with CP using a 10-point Likert-like scale. Using conventional content analysis, we determined the features experts cited when grading dystonia severity. Then, using open-source pose estimation techniques, we determined gait variable analogs of these expert-cited features correlating with their assessments of dystonia severity. RESULTS: Experts assessed videos from 116 participants (46 with dystonia aged 15 years [SD 3] and 70 without dystonia aged 15 years [SD 2], both groups ranging 10-20 years old and 50% male). Variable limb adduction was most commonly cited by experts when identifying dystonia, comprising 60% of expert statements. Effect on gait (regularity, stability, trajectory, speed) and dystonia amplitude were common features experts used to determine dystonia severity, comprising 19% and 13% of statements respectively. Gait variables assessing adduction variability and amplitude (inter-ankle distance variance and foot adduction amplitude) were significantly correlated with expert assessment of dystonia severity (multiple linear regression, p < 0.001). INTERPRETATION: Adduction variability and amplitude are quantifiable gait features that correlate with expert-determined gait dystonia severity in individuals with CP. Consideration of these features could help optimize and standardize the clinical assessment of gait dystonia severity in individuals with CP.","journal":"Developmental Medicine & Child Neurology","year":2023,"id":337965,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":17,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9396,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":236851,"name":"Toni S. Pearson","orcid":"0000-0002-3679-7707","position":1,"is_corresponding":false},{"id":569087,"name":"Keisuke Ueda","orcid":"0000-0003-4087-6018","position":2,"is_corresponding":false},{"id":892689,"name":"Hanyang Miao","orcid":"0000-0001-5757-859X","position":3,"is_corresponding":false},{"id":1070373,"name":"Gazelle Zerafati‐Jahromi","orcid":null,"position":4,"is_corresponding":false},{"id":1069940,"name":"Laura Gilbert","orcid":"0000-0003-0938-4285","position":5,"is_corresponding":false},{"id":874333,"name":"Cynthia L. Comella","orcid":null,"position":6,"is_corresponding":false},{"id":52686,"name":"Joel S. Perlmutter","orcid":"0000-0003-3263-8917","position":7,"is_corresponding":false},{"id":1002972,"name":"Bhooma R. Aravamuthan","orcid":"0000-0003-0205-2149","position":0,"is_corresponding":true}],"reference_count":26,"raw_metadata":null,"created_at":"2026-07-19T01:10:31.133446Z","pmid":"36701240","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":[]}