{"id":"W4225401841","doi":"10.1101/2022.04.27.489652","title":"Age-related changes of deep-brain neurophysiological activity","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Medical Research Council; Directorate for Biological Sciences; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Neuroscience; Hippocampus; Brain activity and meditation; Neurophysiology; Magnetoencephalography; Cognition; Psychology; Thalamus; Cognitive decline; Striatum; Resting state fMRI; Effects of sleep deprivation on cognitive performance; Atrophy; Electroencephalography; Medicine; Dementia; Internal medicine; Dopamine","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":[0.0003136155,0.0003093056,0.0003009031,0.0007813783,0.0001438164,0.0004228679,0.0002453849,0.000343955,0.002461852],"category_scores_gemma":[0.001085337,0.00009886571,0.0001398594,0.0007164492,0.0002125191,0.000319836,0.0003639494,0.0001602277,0.0005481596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008804017,"about_ca_system_score_gemma":0.0001202812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925721,"about_ca_topic_score_gemma":0.003751983,"domain_scores_codex":[0.9998993,0.00001337553,0.00001087072,0.00003869275,0.00002240806,0.00001536267],"domain_scores_gemma":[0.999602,0.00006771777,0.0001279896,0.00007310677,0.00008861143,0.00004050274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001578563,0.0001659389,0.6422342,0.0006981422,0.000629917,0.00158908,0.001208005,0.001054333,0.2388251,0.0006879033,0.008474099,0.1028548],"study_design_scores_gemma":[0.00001412363,0.00009673966,0.9893373,0.00001894091,0.00005825955,0.001047361,0.00008517297,0.0006106222,0.005823662,0.0007645329,0.002129952,0.00001330056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849427,0.0009350686,0.004868487,0.0001462977,0.00002550324,0.00002677784,0.00709348,0.0002384137,0.001723419],"genre_scores_gemma":[0.9893974,0.0004351057,0.002656441,0.0000787172,0.00005638695,0.00004901413,0.005617666,0.00006012145,0.001649076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002461852,"threshold_uncertainty_score":0.008235693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465840788699551,"score_gpt":0.2436284559688701,"score_spread":0.2089700480818746,"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."}}