{"id":"W2075366646","doi":"10.1038/npp.2013.330","title":"EEG Power Asymmetry and Functional Connectivity as a Marker of Treatment Effectiveness in DBS Surgery for Depression","year":2013,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Calgary; University Health Network","funders":"Canadian Institutes of Health Research; Eli Lilly Canada; Servier; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company; BrainsWay; Campbell Institute; Abbott Laboratories; H. Lundbeck A/S; Centre for Addiction and Mental Health; Boston Scientific Corporation; James S. McDonnell Foundation","keywords":"Lateralization of brain function; Electroencephalography; Psychology; Hamd; Asymmetry; Depression (economics); Neuroscience; Hamilton Rating Scale for Depression; Rating scale; Audiology; Major depressive disorder; Medicine; Cognition; Developmental psychology; Physics","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":[0.0004791408,0.0001864566,0.000377868,0.0005578734,0.0001162804,0.0002785778,0.0001398219,0.000255892,0.0007637623],"category_scores_gemma":[0.003567221,0.000074259,0.000153359,0.0003833724,0.0002169793,0.0003007626,0.0001319371,0.0003004668,0.00007861206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676617,"about_ca_system_score_gemma":0.00009465693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005902604,"about_ca_topic_score_gemma":0.0008866396,"domain_scores_codex":[0.9997829,0.000087509,0.0000302359,0.00002170373,0.0000572462,0.00002043837],"domain_scores_gemma":[0.9987388,0.0006922515,0.0003584826,0.00005570694,0.00008311123,0.00007164956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01904413,0.0007696662,0.7070352,0.0002772244,0.001206973,0.0009239041,0.0003919092,0.002580584,0.07222348,0.0004675642,0.0005411017,0.1945382],"study_design_scores_gemma":[0.00007564886,0.001436274,0.9928791,0.00001108078,0.0001274318,0.0005873148,0.0001087355,0.00233688,0.002059051,0.0002483704,0.0001209285,0.000009137112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981934,0.0005349626,0.0003274061,0.0000603788,0.00001052995,0.000008298701,0.00006965469,0.00000609599,0.0007892858],"genre_scores_gemma":[0.9996026,0.0001459722,0.0001167302,0.00001291219,0.00001025391,0.000004245659,0.00005080766,0.000001585656,0.00005492748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007637623,"threshold_uncertainty_score":0.002555072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193225262106946,"score_gpt":0.3100268226240914,"score_spread":0.2907042964133968,"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."}}