{"id":"W4402996271","doi":"10.1038/s42003-024-06858-3","title":"Dynamical structure-function correlations provide robust and generalizable signatures of consciousness in humans","year":2024,"lang":"en","type":"article","venue":"Communications Biology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University; Montreal Neurological Institute and Hospital","funders":"Horizon 2020 Framework Programme; Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación; Agencia Nacional de Investigación y Desarrollo; Consejo Nacional de Investigaciones Científicas y Técnicas; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Unconsciousness; Consciousness; Dynamic functional connectivity; Default mode network; Psychology; Functional magnetic resonance imaging; Cognition; Unconscious mind; Cognitive psychology; Neuroscience; Neural correlates of consciousness; Resting state fMRI; Brain activity and meditation; Brain function; Network dynamics; Cognitive science; Electroencephalography; 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":[0.0002988563,0.0001970009,0.0001929111,0.00071096,0.0001614908,0.0005338399,0.000153359,0.0002541147,0.0008304063],"category_scores_gemma":[0.002922775,0.0001998097,0.000159096,0.0004245255,0.0005430909,0.0006608164,0.0003213397,0.0002481747,0.0001043427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009977996,"about_ca_system_score_gemma":0.0001318003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006303386,"about_ca_topic_score_gemma":0.00125299,"domain_scores_codex":[0.9998732,0.00002844712,0.000009199054,0.00005389683,0.00001801436,0.00001729369],"domain_scores_gemma":[0.999581,0.0001673394,0.0001203931,0.00006653515,0.00003480211,0.00002994339],"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":[0.0009548655,0.0001383012,0.229004,0.0004270366,0.0008285721,0.001008149,0.002123239,0.01328445,0.6079242,0.01022098,0.001332473,0.1327538],"study_design_scores_gemma":[0.00001689079,0.0002223186,0.9533108,0.00002246403,0.0001182073,0.001096511,0.0002246991,0.0214023,0.009652712,0.01303717,0.00084397,0.00005207779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772694,0.0003876543,0.02017754,0.0001092323,0.000009089109,0.00002140716,0.0003516222,0.0000839416,0.001590125],"genre_scores_gemma":[0.9976028,0.00008112231,0.00207752,0.00001348433,0.00001013231,0.000006403116,0.0001274061,0.00001245932,0.00006879569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008304063,"threshold_uncertainty_score":0.002777994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04641500443299765,"score_gpt":0.300448355889211,"score_spread":0.2540333514562134,"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."}}