{"id":"W9411876","doi":"10.1038/npre.2012.7060.1","title":"Mind over chatter: plastic up-regulation of the fMRI alertness network by EEG neurofeedback","year":2012,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Neurofeedback; Alertness; Default mode network; Electroencephalography; Resting state fMRI; Psychology; Neuroscience; Task-positive network; Brain activity and meditation; Brain function; Coactivation; Functional connectivity; Audiology; Medicine; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121682,0.0001826783,0.0001856381,0.0001314278,0.0000830721,0.0001061801,0.00009909148,0.0001407385,0.001192235],"category_scores_gemma":[0.0005956781,0.00006929832,0.0000956962,0.00004591126,0.0001949142,0.0001063634,0.000191577,0.0001722489,0.00006648978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007167651,"about_ca_system_score_gemma":0.00008159391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004072366,"about_ca_topic_score_gemma":0.0007313023,"domain_scores_codex":[0.9999536,0.00001037746,0.000002680402,0.00001418855,0.000008804496,0.00001031156],"domain_scores_gemma":[0.9998159,0.00007739649,0.00004212214,0.00002027426,0.00001542533,0.00002901043],"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":[0.001770839,0.0001729102,0.002688525,0.0000587546,0.00002072884,0.00009769026,0.0001115697,0.0001755334,0.9793244,0.00004553916,0.00008129636,0.0154522],"study_design_scores_gemma":[0.0002454275,0.008313407,0.7301956,0.00004200853,0.0001219949,0.001138048,0.000294212,0.006810353,0.2501599,0.0008386552,0.001813289,0.00002709875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980756,0.00009463349,0.001466379,0.00002912429,0.000007873075,0.0000133056,0.0000374234,0.00002227285,0.000253429],"genre_scores_gemma":[0.9989076,0.00004321395,0.0006697185,0.00002227387,0.000006160974,0.00002012228,0.00003178206,0.000005457832,0.0002936837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001192235,"threshold_uncertainty_score":0.003988445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887831557705237,"score_gpt":0.2616193657290248,"score_spread":0.2427410501519724,"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."}}