{"id":"W4390055874","doi":"10.1002/hbm.26539","title":"Decreased long‐range temporal correlations in the <scp>resting‐state functional magnetic resonance imaging blood‐oxygen‐level‐dependent</scp> signal reflect motor sequence learning up to 2 weeks following training","year":2023,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Montreal Heart Institute; Montreal Neurological Institute and Hospital; University of Toronto","funders":"Max-Planck-Institut für demografische Forschung; Max-Planck-Gesellschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Heart and Stroke Foundation of Canada","keywords":"Functional magnetic resonance imaging; Neuroscience; Psychology; Blood-oxygen-level dependent; Resting state fMRI; Supplementary motor area; Hurst exponent; Magnetic resonance imaging; Striatum; Thalamus; Sequence learning; Motor learning; Finger tapping; Audiology; Medicine; Mathematics","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":[0.0002007508,0.0002495466,0.0002014142,0.0002625793,0.00009483112,0.0001931693,0.0001289325,0.0002166628,0.0009734881],"category_scores_gemma":[0.0006608738,0.0001055816,0.0000936871,0.0001740081,0.0002526023,0.0001846836,0.0001240128,0.0002755625,0.00009030398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120745,"about_ca_system_score_gemma":0.0001288183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007181167,"about_ca_topic_score_gemma":0.001480598,"domain_scores_codex":[0.9999361,0.000008068384,0.000005523832,0.00002125387,0.0000165895,0.00001257702],"domain_scores_gemma":[0.9996452,0.0001016168,0.0001449342,0.00003101154,0.00003650698,0.00004080061],"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":[0.0008846976,0.0001434054,0.03194327,0.00009204748,0.0001055919,0.0001946426,0.0001209413,0.0006986364,0.9434436,0.0001066648,0.0001627263,0.02210379],"study_design_scores_gemma":[0.000009688661,0.0007174404,0.8938942,0.000005841748,0.00003789182,0.0002632128,0.00005138922,0.003241617,0.1013217,0.0002057051,0.0002409227,0.00001034684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952566,0.0001444789,0.003843096,0.00002398925,0.000004603867,0.00001392914,0.0001247567,0.00004772424,0.0005408164],"genre_scores_gemma":[0.9984095,0.00006002908,0.0009498746,0.00001406959,0.00000449221,0.00002162672,0.0001351123,0.00001250533,0.0003928472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009734881,"threshold_uncertainty_score":0.003256679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327551580324386,"score_gpt":0.3040787310616712,"score_spread":0.1713235730292325,"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."}}