{"id":"W4410172548","doi":"10.1038/s41593-025-01945-y","title":"Autonomic physiological coupling of the global fMRI signal","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Baycrest Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Functional magnetic resonance imaging; Arousal; EEG-fMRI; Psychology; Electroencephalography; Sensory system; Resting state fMRI; Brain activity and meditation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0001729409,0.0001356553,0.0001613894,0.00004009992,0.0004264708,0.00003380446,0.0008678776,0.0001142962,0.000007212379],"category_scores_gemma":[0.01019831,0.00008798263,0.0001084753,0.001309506,0.0007988564,0.0001227906,0.0005021998,0.0005117067,0.000004524613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008885885,"about_ca_system_score_gemma":0.0001665065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000375174,"about_ca_topic_score_gemma":0.000003264997,"domain_scores_codex":[0.9985077,0.00005546808,0.0001684359,0.0006336487,0.0003779387,0.0002567591],"domain_scores_gemma":[0.9981424,0.001352509,0.00009909954,0.0003268305,0.00004934331,0.00002986821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002136869,0.00006374139,0.004936715,0.000008935054,9.297821e-7,0.000002227202,0.000007376614,0.004312719,0.9386172,0.04941764,0.002460264,0.0001508863],"study_design_scores_gemma":[0.0002885053,0.0001036434,0.4024296,0.00004026925,0.00001075832,0.00001393338,0.0000149604,0.01765139,0.5606099,0.01065129,0.008009649,0.0001760441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983319,0.0001052387,0.0003098135,0.009060234,0.00319617,0.000248655,0.00002870086,0.00009062905,0.003641576],"genre_scores_gemma":[0.9825206,0.000007930349,0.00002160049,0.0171663,0.00004098245,0.000008000354,7.008208e-8,0.000003064568,0.0002314092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3974929,"threshold_uncertainty_score":0.9981392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503924216330754,"score_gpt":0.2922034705796919,"score_spread":0.2671642284163844,"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."}}