{"id":"W3114893913","doi":"10.1016/j.pbb.2020.173092","title":"Resting-state functional EEG connectivity in salience and default mode networks and their relationship to dissociative symptoms during NMDA receptor antagonism","year":2020,"lang":"en","type":"article","venue":"Pharmacology Biochemistry and Behavior","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Guelph; University of Ottawa","funders":"University of Ottawa","keywords":"Dissociative; Default mode network; NMDA receptor; Neuroscience; Psychology; Dissociation (chemistry); Resting state fMRI; Electroencephalography; Salience (neuroscience); Functional connectivity; Ketamine; Psychosis; Schizophrenia (object-oriented programming); Medicine; Receptor; Clinical psychology; Psychiatry; Chemistry; Internal medicine","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":[0.0001715197,0.0002065172,0.0002251412,0.0002110647,0.000139677,0.0002605332,0.0001234382,0.000186604,0.001734059],"category_scores_gemma":[0.0009696826,0.0001131665,0.0001050817,0.0001723463,0.0002917386,0.0002851189,0.0001823174,0.0004102708,0.00008911169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141509,"about_ca_system_score_gemma":0.00012526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105793,"about_ca_topic_score_gemma":0.00270798,"domain_scores_codex":[0.9999356,0.00001651502,0.000005504761,0.00001686017,0.00001185183,0.00001369594],"domain_scores_gemma":[0.9997465,0.00008266763,0.00008379347,0.00002190627,0.00002295341,0.00004212998],"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":[0.02376578,0.001277945,0.2201047,0.0001974578,0.0005367163,0.00111946,0.001334995,0.0009251882,0.6965258,0.001218824,0.0005460178,0.0524472],"study_design_scores_gemma":[0.00005779187,0.0007429883,0.9911312,0.00000642877,0.00005105536,0.0003302633,0.0001836906,0.00075832,0.006223445,0.0003660344,0.0001406001,0.000008166621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988075,0.00008247067,0.0003519969,0.00003177524,0.000003021497,0.00001557923,0.0001057663,0.000003776404,0.0005981037],"genre_scores_gemma":[0.9993219,0.00007447372,0.0001513219,0.00001485735,0.000005305149,0.00001997032,0.0001105936,0.000002470052,0.0002990003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001734059,"threshold_uncertainty_score":0.005800962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647222750496944,"score_gpt":0.2972671593474766,"score_spread":0.2607949318425072,"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."}}