{"id":"W2974165126","doi":"10.1016/j.neurobiolaging.2019.09.008","title":"What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons","year":2019,"lang":"en","type":"review","venue":"Neurobiology of Aging","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":279,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Engineering and Physical Sciences Research Council; Fondation pour la Recherche sur Alzheimer; National Institute on Aging; Horizon 2020 Framework Programme; Sorbonne Université; Ministero della Salute; European Committee for Treatment and Research in Multiple Sclerosis; Vertex Pharmaceuticals; Alzheimer's Association; AXA Research Fund; Agence Nationale de la Recherche","keywords":"Neuroscience; Neuropathology; Electroencephalography; Electrophysiology; Magnetoencephalography; Neuroimaging; Psychology; Neurodegeneration; Disease; Medicine; Pathology","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":[0.001323528,0.001133044,0.001976334,0.002765679,0.0003266633,0.001585501,0.001152009,0.002081193,0.002190011],"category_scores_gemma":[0.002238562,0.0003714713,0.0005428722,0.002951406,0.001554938,0.003347115,0.0008475613,0.002937763,0.001736928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007942031,"about_ca_system_score_gemma":0.001436265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686218,"about_ca_topic_score_gemma":0.002464766,"domain_scores_codex":[0.9997603,0.00005502376,0.00004059954,0.00005498856,0.00007125148,0.00001773255],"domain_scores_gemma":[0.9984976,0.001014642,0.0001074392,0.00004513647,0.0002585559,0.00007662545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001034317,0.00004968097,0.0003804378,0.01287274,0.0001447957,0.0002083848,0.0001234699,0.0002650399,0.001320303,0.008371596,0.03881891,0.9373412],"study_design_scores_gemma":[0.00002775103,0.000123765,0.002284149,0.008992934,0.0002182738,0.001800795,0.0001832686,0.0001725598,0.0004225754,0.01648154,0.9692402,0.00005217858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004650598,0.9983997,0.0001494111,0.0006534436,0.0003273847,0.000001680286,0.00001488359,0.000004245207,0.0004027362],"genre_scores_gemma":[0.0003827056,0.9979665,0.000197177,0.0004919523,0.0007180032,0.000003841041,0.0000162692,0.000001484324,0.0002220757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002765679,"threshold_uncertainty_score":0.007326365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325575826793741,"score_gpt":0.3115686993355219,"score_spread":0.2790111166561478,"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."}}