{"id":"W4413961446","doi":"10.17116/jnevro202512508254","title":"Effectiveness of “brain—computer” interfaces with biofeedback in the rehabilitation of cognitive impairment after a stroke","year":2025,"lang":"en","type":"article","venue":"S S Korsakov Journal of Neurology and Psychiatry","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Wechsler Adult Intelligence Scale; Brain–computer interface; Memory span; Stroke (engine); Rehabilitation; Physical therapy; Electroencephalography; Neurofeedback; Psychology; Cognition; Physical medicine and rehabilitation; Medicine; Audiology; Cognitive impairment; Psychiatry; Working memory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007245347,0.000405748,0.0005472928,0.0004985563,0.0001172022,0.0002178209,0.0002375168,0.0004369916,0.00101049],"category_scores_gemma":[0.002358909,0.0001044815,0.000425197,0.0001731544,0.0002549133,0.0002385929,0.0002408045,0.0001832897,0.0001087278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719586,"about_ca_system_score_gemma":0.0002109977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004819528,"about_ca_topic_score_gemma":0.0007567119,"domain_scores_codex":[0.9994754,0.0002010209,0.00007490465,0.00005869428,0.0001327679,0.00005720645],"domain_scores_gemma":[0.9994209,0.0003383829,0.00008597167,0.00002803312,0.00005152118,0.00007521365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1175743,0.02235727,0.03302145,0.001759419,0.001288327,0.0002993376,0.0003246085,0.001598124,0.03650474,0.0001020051,0.0005353891,0.7846349],"study_design_scores_gemma":[0.01644762,0.4018288,0.5479437,0.0003577197,0.002015152,0.001693106,0.0003286251,0.00574572,0.0212162,0.000266148,0.002086022,0.00007126311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979587,0.001207773,0.0003338287,0.00002314156,0.00001625209,0.00006379239,0.00002229758,0.00001481204,0.0003593102],"genre_scores_gemma":[0.9981211,0.0005789903,0.0009259681,0.00003839635,0.00003976992,0.00009847149,0.00006494599,0.000001606047,0.0001307811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00101049,"threshold_uncertainty_score":0.003831804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408236117465468,"score_gpt":0.2613054112506497,"score_spread":0.2558971751331842,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}