{"id":"W4319348394","doi":"10.1016/j.ebiom.2023.104455","title":"Altered global signal topography in Alzheimer's disease","year":2023,"lang":"en","type":"article","venue":"EBioMedicine","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Fundamental Research Funds for the Central Universities; National Institutes of Health; Servier; H. Lundbeck A/S; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; F. Hoffmann-La Roche; University of Southern California; Pfizer; BioClinica; Biogen; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Alzheimer's Association","keywords":"Neuroscience; Functional magnetic resonance imaging; Disease; Alzheimer's disease; SIGNAL (programming language); Magnetic resonance imaging; Functional integration; Functional connectivity; Biology; Medicine; Computer science; Pathology; Mathematics","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":[0.0004530961,0.0003265422,0.000356337,0.001129331,0.0001829122,0.0004024317,0.0001730382,0.0001983069,0.001338376],"category_scores_gemma":[0.0009565655,0.00008452966,0.0003635698,0.0008959805,0.0002582151,0.0002469834,0.0002993448,0.0001471041,0.0001435389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334931,"about_ca_system_score_gemma":0.0001501532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210428,"about_ca_topic_score_gemma":0.00320432,"domain_scores_codex":[0.9998511,0.00002590545,0.00001353474,0.00006966943,0.00001936845,0.00002039603],"domain_scores_gemma":[0.9996438,0.00009736906,0.000126212,0.00004969375,0.00004784856,0.00003502105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001472434,0.0001136535,0.874635,0.0004157777,0.001127998,0.0008440567,0.0003860405,0.003553086,0.0489653,0.0004764966,0.002213063,0.06579703],"study_design_scores_gemma":[0.00001484882,0.00005913141,0.9936441,0.00001058523,0.0002382641,0.0004414475,0.00006990411,0.002501496,0.001431368,0.000992765,0.0005874541,0.000008609393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941737,0.0008859932,0.001958351,0.00005164743,0.000006840336,0.00001059039,0.002269691,0.00004862574,0.0005946159],"genre_scores_gemma":[0.9967766,0.0002257184,0.0008689749,0.00001970025,0.00001518651,0.00001310667,0.00190977,0.000007676886,0.0001633162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002210428,"threshold_uncertainty_score":0.004477262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397539786469129,"score_gpt":0.3102206741356726,"score_spread":0.2562452762709813,"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."}}