{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T18:00:19Z","timestamp":1781114419265,"version":"3.54.1"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Hunan Provincial Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113927","type":"journal-article","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:26:00Z","timestamp":1778167560000},"page":"113927","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["Agent Propagation Generative Adversarial Networks with large foundation models for Alzheimer\u2019s disease risk prediction"],"prefix":"10.1016","volume":"179","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2715-3360","authenticated-orcid":false,"given":"Xia-An","family":"Bi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenzhuo","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dayou","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenli","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luyun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixia","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.patcog.2026.113927_b1","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1038\/s41591-023-02505-2","article-title":"Emerging diagnostics and therapeutics for alzheimer disease","volume":"29","author":"Self","year":"2023","journal-title":"Nature Med."},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1038\/s41514-024-00136-6","article-title":"Cost of care for alzheimer\u2019s disease and related dementias in the united states: 2016 to 2060","volume":"10","author":"Nandi","year":"2024","journal-title":"Npj Aging"},{"key":"10.1016\/j.patcog.2026.113927_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109106","article-title":"Multi-scale enhanced graph convolutional network for mild cognitive impairment detection","volume":"134","author":"Lei","year":"2023","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.patcog.2026.113927_b4","doi-asserted-by":"crossref","DOI":"10.1007\/s11432-021-3589-5","article-title":"Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification","volume":"66","author":"Du","year":"2023","journal-title":"Sci. China Inf. Sci."},{"key":"10.1016\/j.patcog.2026.113927_b5","doi-asserted-by":"crossref","first-page":"kkad033","DOI":"10.1093\/psyrad\/kkad033","article-title":"Exploring alzheimer\u2019s disease: a comprehensive brain connectome-based survey","volume":"4","author":"Zhang","year":"2024","journal-title":"Psychoradiology"},{"issue":"3","key":"10.1016\/j.patcog.2026.113927_b6","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1109\/TMI.2023.3325380","article-title":"Identification of genetic risk factors based on disease progression derived from longitudinal brain imaging phenotypes","volume":"43","author":"Du","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"10.1016\/j.patcog.2026.113927_b7","doi-asserted-by":"crossref","first-page":"421","DOI":"10.3390\/jpm14040421","article-title":"Identifying progression-specific alzheimer\u2019s subtypes using multimodal transformer","volume":"14","author":"Reyes","year":"2024","journal-title":"J. Pers. Med."},{"issue":"3","key":"10.1016\/j.patcog.2026.113927_b8","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1109\/TBME.2022.3203152","article-title":"Identifying modality-consistent and modality-specific features via label-guided multi-task sparse canonical correlation analysis for neuroimaging genetics","volume":"70","author":"Hao","year":"2022","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b9","doi-asserted-by":"crossref","first-page":"vbae099","DOI":"10.1093\/bioadv\/vbae099","article-title":"Current and future directions in network biology","volume":"4","author":"Zitnik","year":"2024","journal-title":"Bioinform. Adv."},{"key":"10.1016\/j.patcog.2026.113927_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102883","article-title":"Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based alzheimer\u2019s disease diagnosis","volume":"89","author":"Wang","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.patcog.2026.113927_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112643","article-title":"Temporal knowledge graph reasoning with local\u2013global evolutionary patterns","volume":"172","author":"Luo","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113927_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111370","article-title":"Evolutionary structure learning on temporal networks using von Neumann entropy","volume":"162","author":"Liu","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113927_b13","doi-asserted-by":"crossref","first-page":"104428","DOI":"10.1016\/j.jbi.2023.104428","article-title":"Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review","volume":"144","author":"Kierner","year":"2023","journal-title":"J. Biomed. Informatics"},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b14","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s13040-024-00391-z","article-title":"Deep learning-based approaches for multi-omics data integration and analysis","volume":"17","author":"Ballard","year":"2024","journal-title":"BioData Min."},{"key":"10.1016\/j.patcog.2026.113927_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102204","article-title":"Instruction-vit: Multi-modal prompts for instruction learning in vision transformer","volume":"104","author":"Xiao","year":"2024","journal-title":"Inf. Fusion"},{"issue":"3","key":"10.1016\/j.patcog.2026.113927_b16","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1002\/mp.16965","article-title":"Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology","volume":"51","author":"Zhang","year":"2024","journal-title":"Med. Phys."},{"issue":"6","key":"10.1016\/j.patcog.2026.113927_b17","doi-asserted-by":"crossref","DOI":"10.1007\/s11704-024-3853-2","article-title":"A survey of dynamic graph neural networks","volume":"19","author":"Zheng","year":"2025","journal-title":"Front. Comput. Sci."},{"key":"10.1016\/j.patcog.2026.113927_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109061","article-title":"Conditional gan with 3d discriminator for mri generation of alzheimer\u2019s disease progression","volume":"133","author":"Jung","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113927_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102518","article-title":"Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (multi-head gagnns)","volume":"80","author":"Yan","year":"2022","journal-title":"Med. Image Anal."},{"issue":"5","key":"10.1016\/j.patcog.2026.113927_b20","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TBME.2023.3339892","article-title":"Meet: A multi-band eeg transformer for brain states decoding","volume":"71","author":"Shi","year":"2023","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"12","key":"10.1016\/j.patcog.2026.113927_b21","doi-asserted-by":"crossref","first-page":"3651","DOI":"10.1109\/TMI.2023.3300725","article-title":"Federated domain adaptation via transformer for multi-site alzheimers disease diagnosis","volume":"42","author":"Lei","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.patcog.2026.113927_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128576","article-title":"Mask-guided bert for few-shot text classification","volume":"610","author":"Liao","year":"2024","journal-title":"Neurocomputing"},{"issue":"4","key":"10.1016\/j.patcog.2026.113927_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.metrad.2024.100103","article-title":"Potential of multimodal large language models for data mining of medical images and free-text reports","volume":"2","author":"Zhang","year":"2024","journal-title":"Meta-Radiology"},{"issue":"2","key":"10.1016\/j.patcog.2026.113927_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.metrad.2023.100017","article-title":"Summary of chatgpt-related research and perspective towards the future of large language models","volume":"1","author":"Liu","year":"2023","journal-title":"Meta-Radiology"},{"key":"10.1016\/j.patcog.2026.113927_b25","doi-asserted-by":"crossref","first-page":"30235","DOI":"10.1109\/ACCESS.2025.3535782","article-title":"Time-series large language models: A systematic review of state-of-the-art","volume":"13","author":"Abdullahi","year":"2025","journal-title":"IEEE Access"},{"issue":"6723","key":"10.1016\/j.patcog.2026.113927_b26","doi-asserted-by":"crossref","first-page":"eado9336","DOI":"10.1126\/science.ado9336","article-title":"Sequence modeling and design from molecular to genome scale with evo","volume":"386","author":"Nguyen","year":"2024","journal-title":"Science"},{"issue":"5","key":"10.1016\/j.patcog.2026.113927_b27","doi-asserted-by":"crossref","first-page":"5833","DOI":"10.1109\/TPAMI.2022.3209686","article-title":"Graph neural networks in network neuroscience","volume":"45","author":"Bessadok","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113927_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102370","article-title":"Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity","volume":"77","author":"Huang","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.patcog.2026.113927_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109466","article-title":"Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based sbi-lstm","volume":"254","author":"Lei","year":"2022","journal-title":"Knowl.-Based Syst."},{"issue":"6","key":"10.1016\/j.patcog.2026.113927_b30","doi-asserted-by":"crossref","first-page":"2980","DOI":"10.1109\/JBHI.2023.3257081","article-title":"Attention-guided autoencoder for automated progression prediction of subjective cognitive decline with structural mri","volume":"27","author":"Guan","year":"2023","journal-title":"IEEE J. Biomed. Health Informatics"},{"key":"10.1016\/j.patcog.2026.113927_b31","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102612","article-title":"Cross-modal attention for multi-modal image registration","volume":"82","author":"Song","year":"2022","journal-title":"Med. Image Anal."},{"issue":"6","key":"10.1016\/j.patcog.2026.113927_b32","doi-asserted-by":"crossref","first-page":"7275","DOI":"10.1109\/TNNLS.2022.3154755","article-title":"Adversarial learning based node-edge graph attention networks for autism spectrum disorder identification","volume":"35","author":"Chen","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113927_b33","article-title":"Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and the multi-modality phenotype network in major depressive disorder","volume":"14","author":"Zhang","year":"2023","journal-title":"Front. Psychiatry"},{"issue":"7","key":"10.1016\/j.patcog.2026.113927_b34","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1038\/s41386-023-01559-7","article-title":"Pathways link environmental and genetic factors with structural brain networks and psychopathology in youth","volume":"48","author":"Qiu","year":"2023","journal-title":"Neuropsychopharmacology"},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b35","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1038\/s41398-023-02344-2","article-title":"Functional connectivity signatures of nmdar dysfunction in schizophrenia\u0142integrating findings from imaging genetics and pharmaco-fmri","volume":"13","author":"Gaebler","year":"2023","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.patcog.2026.113927_b36","doi-asserted-by":"crossref","first-page":"4017","DOI":"10.1109\/TNSRE.2023.3323432","article-title":"Brain structure-function fusing representation learning using adversarial decomposed-vae for analyzing mci","volume":"31","author":"Zuo","year":"2023","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"10.1016\/j.patcog.2026.113927_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2025.121013","article-title":"Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis","volume":"307","author":"Li","year":"2025","journal-title":"NeuroImage"},{"issue":"7","key":"10.1016\/j.patcog.2026.113927_b38","doi-asserted-by":"crossref","first-page":"2859","DOI":"10.1002\/hbm.24045","article-title":"Apoe influences working memory in non-demented elderly through an interaction with spon1 rs2618516","volume":"39","author":"Liu","year":"2018","journal-title":"Hum. Brain Mapp."},{"issue":"9","key":"10.1016\/j.patcog.2026.113927_b39","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.3169","article-title":"Functional changes in the salience network of patients with amnesic mild cognitive impairment before and after repetitive transcranial magnetic stimulation","volume":"13","author":"Yuan","year":"2023","journal-title":"Brain Behav."},{"key":"10.1016\/j.patcog.2026.113927_b40","doi-asserted-by":"crossref","DOI":"10.1002\/alz.046264","article-title":"Genome-wide association analyses identify genes modifying age-at-onset of alzheimer\u2019s disease: genetics\/genetic factors of non-alzheimer\u2019s tauopathies","volume":"16","author":"Martin","year":"2020","journal-title":"Alzheimer\u2019s & Dementia"},{"issue":"5","key":"10.1016\/j.patcog.2026.113927_b41","doi-asserted-by":"crossref","first-page":"5395","DOI":"10.1007\/s12035-024-04617-3","article-title":"Integration of single-cell and spatial transcriptomic data reveals spatial architecture and potential biomarkers in alzheimer\u2019s disease","volume":"62","author":"Fan","year":"2025","journal-title":"Mol. Neurobiol."},{"key":"10.1016\/j.patcog.2026.113927_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.nbd.2023.106192","article-title":"Epigenomic analysis of alzheimer\u2019s disease brains reveals diminished ctcf binding on genes involved in synaptic organization","volume":"184","author":"Patel","year":"2023","journal-title":"Neurobiol. Dis."},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b43","doi-asserted-by":"crossref","first-page":"2660","DOI":"10.1038\/s41598-020-59327-2","article-title":"Fractional anisotropy changes in parahippocampal cingulum due to alzheimer\u2019s disease","volume":"10","author":"J.L. Dalboni da Rocha","year":"2020","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.patcog.2026.113927_b44","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1038\/s42003-022-03287-y","article-title":"Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels","volume":"5","author":"Sarnowski","year":"2022","journal-title":"Commun. Biol."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326008927?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326008927?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T17:09:27Z","timestamp":1781111367000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326008927"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":44,"alternative-id":["S0031320326008927"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113927","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Agent Propagation Generative Adversarial Networks with large foundation models for Alzheimer\u2019s disease risk prediction","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113927","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113927"}}