{"id":"W2745227812","doi":"10.3389/fneur.2017.00384","title":"Cognitive Improvement and Brain Changes after Real-Time Functional MRI Neurofeedback Training in Healthy Elderly and Prodromal Alzheimer’s Disease","year":2017,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Alzheimer Forschung Initiative","keywords":"Neurofeedback; Psychology; Audiology; Neuropsychology; Parahippocampal gyrus; Dementia; Wechsler Memory Scale; Neuropsychological test; Montreal Cognitive Assessment; Memory span; Boston Naming Test; Trail Making Test; Cognition; Medicine; Physical medicine and rehabilitation; Disease; Neuroscience; Working memory; Electroencephalography; Temporal lobe; Cognitive impairment; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003911182,0.0001873009,0.0003345818,0.0002950424,0.0001300624,0.00005223736,0.00008213195,0.00009130622,0.0000580148],"category_scores_gemma":[0.0001890634,0.0001820482,0.00002878981,0.00006227553,0.0004256183,0.0001297139,0.0001679547,0.0003651212,0.000004326571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543146,"about_ca_system_score_gemma":0.0001377607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006391911,"about_ca_topic_score_gemma":0.00009999976,"domain_scores_codex":[0.9982412,0.0001719928,0.0002106233,0.0005992635,0.0002467844,0.0005301706],"domain_scores_gemma":[0.9992932,0.00009583878,0.00008616665,0.0001913049,0.00004804108,0.000285428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01408627,0.0001769558,0.9215159,0.00006390223,0.00005372167,0.0009389093,0.0004029392,1.266534e-7,0.0002780578,0.000006189151,0.0009925559,0.0614844],"study_design_scores_gemma":[0.005647732,0.005028293,0.9876854,0.00005193726,0.00007485581,0.00003614701,0.0001541105,0.0003877628,0.00003327576,0.0002841266,0.0004849182,0.0001313946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676058,0.0004952762,0.00003906344,0.0299726,0.0003209642,0.001135493,0.00002456221,0.0000174824,0.0003887398],"genre_scores_gemma":[0.9942038,0.0004242998,0.00009108615,0.004475276,0.0001557648,0.000320177,0.00002717852,0.00002428908,0.0002781172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06616948,"threshold_uncertainty_score":0.7423709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544593892585824,"score_gpt":0.3024710415539605,"score_spread":0.2770251026281023,"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."}}