{"id":"W4406406440","doi":"10.1162/netn_a_00441","title":"Validating MEG estimated resting-state connectome with intracranial EEG","year":2025,"lang":"en","type":"article","venue":"Network Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure; Concordia University; Western University; Hôpital du Sacré-Cœur de Montréal; Canadian Sleep & Circadian Network; Montreal Neurological Institute and Hospital","funders":"Faculty of Medicine and Health, University of Sydney; Fonds de recherche du Québec – Nature et technologies; Ministero della Salute; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Resting state fMRI; Connectome; Functional connectivity; Electroencephalography; Neuroscience; EEG-fMRI; Medicine; Psychology","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":[0.001433975,0.0005084748,0.0003267468,0.001171895,0.0003247562,0.0009718789,0.000555144,0.0006234937,0.002242625],"category_scores_gemma":[0.01044573,0.0002634221,0.0004270827,0.0008219571,0.000514127,0.0009595924,0.000634097,0.0004143175,0.0007023207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139271,"about_ca_system_score_gemma":0.0004040398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221691,"about_ca_topic_score_gemma":0.004892632,"domain_scores_codex":[0.9993477,0.0002162277,0.00005690435,0.0001986629,0.000130895,0.00004948488],"domain_scores_gemma":[0.998415,0.0007171666,0.0001757759,0.0002703714,0.0003786172,0.00004310894],"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":[0.002034148,0.0003610299,0.2825439,0.001485431,0.001550833,0.002248253,0.003643929,0.02892861,0.3799067,0.01175393,0.0114404,0.2741027],"study_design_scores_gemma":[0.0001826295,0.0005614292,0.804087,0.0001984403,0.0004727724,0.004014857,0.000762948,0.1021174,0.05963238,0.01762171,0.0101919,0.0001565676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.806835,0.0005760744,0.1824544,0.0002604756,0.0001003357,0.0003184497,0.004086096,0.00085946,0.004509652],"genre_scores_gemma":[0.9512341,0.0002215094,0.04418183,0.0001052522,0.00006146362,0.0004924831,0.002951424,0.0002432772,0.000508723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002242625,"threshold_uncertainty_score":0.007583618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242459296334576,"score_gpt":0.2921953039009231,"score_spread":0.2497707109375773,"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."}}