{"id":"W4409255900","doi":"10.1162/imag_a_00552","title":"Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; National Institute of Neurological Disorders and Stroke; IXICO; Servier; Georgia Clinical and Translational Science Alliance; Eisai; H. Lundbeck A/S; National Institute of Mental Health and Neurosciences; Pfizer; Biogen; BioClinica; Vanderbilt University; University of Southern California; National Institute of Dental and Craniofacial Research; Northern California Institute for Research and Education; Vanderbilt Institute for Clinical and Translational Research; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Alzheimer's Association","keywords":"Diffusion MRI; Magnetic resonance imaging; Neuroimaging; Brain aging; Disease; Psychology; Neuroscience; Cognition; Medicine; Pathology; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009720432,0.000160758,0.0001528383,0.0001407249,0.0002893662,0.0001200424,0.0002973519,0.00001751344,0.000006609678],"category_scores_gemma":[0.001031229,0.0001517015,0.00005974427,0.0005737524,0.0003838605,0.0001920514,0.0001779403,0.000212134,0.000008946223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004173977,"about_ca_system_score_gemma":0.0001066144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001694408,"about_ca_topic_score_gemma":7.779889e-7,"domain_scores_codex":[0.9983503,0.0000507375,0.0002746812,0.0007857758,0.0002900692,0.0002484595],"domain_scores_gemma":[0.9987735,0.0001449253,0.00008324936,0.0007168555,0.00008645457,0.0001949822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004182954,0.0002142605,0.01909923,0.00002145587,0.000001257078,0.0001889734,0.00003026429,0.0001179676,0.959057,0.006878268,0.009264544,0.005084923],"study_design_scores_gemma":[0.000506889,0.00003037921,0.7964644,0.0001650793,0.00007606469,0.00001297632,0.000008396921,0.124016,0.02502863,0.01142354,0.04204481,0.0002228285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1600289,0.0000999798,0.7817076,0.05482166,0.0005021096,0.0007567396,0.00009035234,0.0007378315,0.00125481],"genre_scores_gemma":[0.978085,0.00005879264,0.003789415,0.01565279,0.0000605749,0.00008741469,0.00004114322,0.00001917424,0.002205723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9340284,"threshold_uncertainty_score":0.6186208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237756794422935,"score_gpt":0.3517147861451662,"score_spread":0.3193372182009369,"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."}}