{"id":"W4409785609","doi":"10.1162/imag_a_00580","title":"Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer’s disease","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Public Health Ontario; University of Toronto","funders":"National Heart, Lung, and Blood Institute; Medical Research Council; Hjartavernd; Australasian Gynaecological Endoscopy and Surgery Society; Connaught Fund; Simon Fraser University; Krembil Foundation; Natural Sciences and Engineering Research Council of Canada; Alzheimer’s Research UK; Institut National de la Santé et de la Recherche Médicale; Université de Lille; Canadian Institutes of Health Research; Centre hospitalier régional universitaire de Lille; Centre for Addiction and Mental Health Foundation; Wellcome Trust; Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease; National Institute on Aging; Alzheimer's Association; University of Toronto; Erasmus Medisch Centrum; Bundesministerium für Bildung und Forschung; National Institutes of Health; McLaughlin Centre, University of Toronto","keywords":"Neuroimaging; Genome-wide association study; Disease; Modality (human–computer interaction); Psychology; Neuroscience; Imaging genetics; Medicine; Computer science; Artificial intelligence; Biology; Single-nucleotide polymorphism; Internal medicine; Genetics","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":[0.007614563,0.0007473084,0.000973044,0.003071599,0.0004146834,0.001370718,0.0007378415,0.0006153056,0.004725715],"category_scores_gemma":[0.03206305,0.0004063964,0.001702013,0.003381383,0.0006085534,0.0007676639,0.001565868,0.0009307886,0.000527347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631916,"about_ca_system_score_gemma":0.00077292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005438556,"about_ca_topic_score_gemma":0.006002816,"domain_scores_codex":[0.9968652,0.001976922,0.0002108915,0.0005667785,0.0002512764,0.0001288578],"domain_scores_gemma":[0.9871662,0.009517043,0.001045088,0.00163242,0.0003955199,0.0002437055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001416485,0.0001808021,0.6076304,0.0006431772,0.00544803,0.002273133,0.0005849196,0.02544168,0.009433622,0.02005907,0.01256086,0.314328],"study_design_scores_gemma":[0.000458863,0.000641053,0.3977926,0.0002813763,0.00439106,0.002918949,0.0004062181,0.370307,0.008215645,0.1949835,0.01935849,0.0002452834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2588635,0.002275399,0.722893,0.002611161,0.0001688497,0.0001808135,0.007108765,0.003101802,0.002796616],"genre_scores_gemma":[0.8370139,0.0007497074,0.1574952,0.000385019,0.0002153492,0.0001546613,0.002619775,0.0003011835,0.001065114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007614563,"threshold_uncertainty_score":0.04027015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0790100502545329,"score_gpt":0.3488370149469557,"score_spread":0.2698269646924228,"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."}}