{"id":"W3183224351","doi":"10.20944/preprints202105.0517.v1","title":"Effects of Neurofeedback in the Working Memory of Children with Learning Disorders: An EEG Power-Spectrum Analysis","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Canada First Research Excellence Fund; Consejo Nacional de Ciencia y Tecnología; Fondation Brain Canada","keywords":"Neurofeedback; Electroencephalography; Working memory; Audiology; Psychology; Resting state fMRI; Task (project management); Cognition; Sensorimotor rhythm; Beta Rhythm; Developmental psychology; Neuroscience; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357359,0.0003580123,0.0003216858,0.0001780438,0.00009624787,0.00006884147,0.0001033775,0.0001476004,0.0007149809],"category_scores_gemma":[0.0003326499,0.00006283273,0.000151245,0.00008635443,0.0001668094,0.00008563926,0.0001784696,0.0001833397,0.00007083192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007687615,"about_ca_system_score_gemma":0.0001138018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006261028,"about_ca_topic_score_gemma":0.001046156,"domain_scores_codex":[0.9999346,0.00001852288,0.000007128099,0.00001422505,0.0000126141,0.00001287142],"domain_scores_gemma":[0.999897,0.0000351626,0.00001995926,0.00000731493,0.00001256621,0.0000281417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05423948,0.01928234,0.08564728,0.0009498078,0.0003067277,0.001336035,0.001388146,0.0009890021,0.5671998,0.00009442656,0.0005422148,0.2680248],"study_design_scores_gemma":[0.00183614,0.09076165,0.8272151,0.00005555051,0.0003170398,0.001535836,0.0007468038,0.001358794,0.07386196,0.0001213888,0.002166966,0.00002277426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995689,0.0001489832,0.0001084027,0.000009820341,0.000003254867,0.00002030582,0.00002952283,0.000003272225,0.0001074306],"genre_scores_gemma":[0.9986773,0.0002424096,0.0006047629,0.0000174468,0.00001011112,0.00009267523,0.00008331458,0.000002046475,0.0002698764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007149809,"threshold_uncertainty_score":0.002391875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242600825141008,"score_gpt":0.2487719298526813,"score_spread":0.2245118473385805,"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."}}