{"id":"W4387446374","doi":"10.1093/braincomms/fcad262","title":"Basal forebrain activity predicts functional degeneration in the entorhinal cortex in Alzheimer’s disease","year":2023,"lang":"en","type":"article","venue":"Brain Communications","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; Universität zu Lübeck; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Nucleus basalis; Basal forebrain; Neuroscience; Alzheimer's disease; Entorhinal cortex; Senile plaques; Pathogenesis; Resting state fMRI; Medicine; Disease; Internal medicine; Psychology; Hippocampus; Cholinergic","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004339241,0.000328562,0.0003319865,0.0005116104,0.000173985,0.00036827,0.0001456983,0.0002895984,0.000762892],"category_scores_gemma":[0.0008249969,0.0001227655,0.0001661088,0.0001917344,0.0002755551,0.0002758795,0.0002114661,0.0003530798,0.0001535934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109162,"about_ca_system_score_gemma":0.0001152314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254248,"about_ca_topic_score_gemma":0.003385828,"domain_scores_codex":[0.9999216,0.00001908522,0.00001083881,0.00002303557,0.00001357168,0.0000118284],"domain_scores_gemma":[0.9995222,0.00008375246,0.0001858071,0.00004779514,0.0000591301,0.0001013845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002613114,0.0001923598,0.9291824,0.00005112122,0.000140216,0.0007709916,0.0002600546,0.0003140976,0.0593194,0.00006204344,0.0001914011,0.006902864],"study_design_scores_gemma":[0.000006200087,0.0001233845,0.9982436,0.000003002335,0.00001616107,0.0002694985,0.00004992147,0.0002078134,0.0009855814,0.00005468952,0.00003781767,0.000002274134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993975,0.0001511345,0.0001099591,0.00001402532,0.00000229205,0.000003230009,0.00007863324,0.000004853432,0.0002383932],"genre_scores_gemma":[0.999616,0.0000565104,0.0001076355,0.000006047359,0.000003136838,0.000003035767,0.0001021766,0.000001279022,0.0001040917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002254248,"threshold_uncertainty_score":0.004482269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567163909935868,"score_gpt":0.334644021743829,"score_spread":0.1779276307502422,"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."}}