{"id":"W3139475357","doi":"10.3389/fnins.2021.645255","title":"Local Neuronal Synchronization in Frequent Nightmare Recallers and Healthy Controls: A Resting-State Functional Magnetic Resonance Imaging Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Canadian Sleep & Circadian Network; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nightmare; Functional magnetic resonance imaging; Unconsciousness; Psychology; Anterior cingulate cortex; Resting state fMRI; Neural correlates of consciousness; Neuroscience; Audiology; Prefrontal cortex; Magnetic resonance imaging; Medicine; Psychiatry; Cognition; Radiology","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":[0.0002635615,0.0003554545,0.0004199064,0.0009572442,0.0003131746,0.0004268226,0.0002346447,0.0004351286,0.001304417],"category_scores_gemma":[0.0008836064,0.0002035442,0.0002502407,0.0003142051,0.00031868,0.000292699,0.0002934498,0.0001935611,0.0001728219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756062,"about_ca_system_score_gemma":0.00007014201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472609,"about_ca_topic_score_gemma":0.003742262,"domain_scores_codex":[0.9998593,0.00001884303,0.0000196637,0.00006310063,0.00001505678,0.00002396597],"domain_scores_gemma":[0.9996551,0.00005995799,0.0001410727,0.00004550067,0.00003033818,0.00006797851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005022616,0.0007025324,0.9430299,0.00009634083,0.0003896958,0.002487776,0.002881077,0.0001190461,0.03171376,0.00008576694,0.0001470657,0.01332443],"study_design_scores_gemma":[0.00001763369,0.0002569331,0.9984375,0.000001386466,0.00002037539,0.0007211865,0.0002357652,0.0000589874,0.0001689506,0.00001503996,0.00006224699,0.000004044758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997166,0.0000727201,0.00005176844,0.000003454724,0.000001530076,0.000006754296,0.00005411737,0.000003022048,0.00009011019],"genre_scores_gemma":[0.9996316,0.00003684793,0.00006714857,0.000005802306,0.000005921781,0.000007981618,0.0001235258,0.000001665867,0.0001194136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003472609,"threshold_uncertainty_score":0.006904781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892878988521847,"score_gpt":0.2763019799712357,"score_spread":0.2473731900860173,"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."}}