{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:04:02Z","timestamp":1793293442445,"version":"4.5.0"},"reference-count":79,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T00:00:00Z","timestamp":1771632000000},"content-version":"am","delay-in-days":265,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["STI2030-Major Projects-2022ZD0213100"],"award-info":[{"award-number":["STI2030-Major Projects-2022ZD0213100"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2009BAI77B03"],"award-info":[{"award-number":["2009BAI77B03"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82001123"],"award-info":[{"award-number":["82001123"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007333","name":"Alzheimer's Disease Neuroimaging Initiative","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007333","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["AG073297"],"award-info":[{"award-number":["AG073297"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["AG082938"],"award-info":[{"award-number":["AG082938"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["EB035160"],"award-info":[{"award-number":["EB035160"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["NS134849"],"award-info":[{"award-number":["NS134849"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1016\/j.neunet.2025.107263","type":"journal-article","created":{"date-parts":[[2025,2,15]],"date-time":"2025-02-15T16:57:32Z","timestamp":1739638652000},"page":"107263","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"special_numbering":"C","title":["Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline"],"prefix":"10.1016","volume":"186","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6625-3682","authenticated-orcid":false,"given":"Minhui","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8769-496X","authenticated-orcid":false,"given":"Yuqi","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunbi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea C.","family":"Bozoki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shifu","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6476-0189","authenticated-orcid":false,"given":"Ling","family":"Yue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0166-0807","authenticated-orcid":false,"given":"Mingxia","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.neunet.2025.107263_b1","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.eurpsy.2008.02.004","article-title":"Subjective Memory Impairment. A review of its definitions indicates the need for a comprehensive set of standardised and validated criteria","volume":"23","author":"Abdulrab","year":"2008","journal-title":"European Psychiatry"},{"key":"10.1016\/j.neunet.2025.107263_b2","series-title":"International conference on computing methodologies and communication","first-page":"1503","article-title":"Alzheimer disease classification using transfer learning","author":"Acharya","year":"2021"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b3","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1212\/WNL.0b013e318207b1b9","article-title":"Report of the task force on designing clinical trials in early (predementia) AD","volume":"76","author":"Aisen","year":"2011","journal-title":"Neurology"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b4","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.jalz.2010.03.006","article-title":"Clinical Core of the Alzheimer\u2019s Disease Neuroimaging Initiative: Progress and plans","volume":"6","author":"Aisen","year":"2010","journal-title":"Alzheimer\u2019s & Dementia"},{"issue":"7","key":"10.1016\/j.neunet.2025.107263_b5","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/j.jalz.2015.05.005","article-title":"Alzheimer\u2019s disease neuroimaging initiative 2 clinical core: Progress and plans","volume":"11","author":"Aisen","year":"2015","journal-title":"Alzheimer\u2019s & Dementia"},{"key":"10.1016\/j.neunet.2025.107263_b6","series-title":"2019 27th European signal processing conference","first-page":"1","article-title":"Unsupervised medical image translation using cycle-MedGAN","author":"Armanious","year":"2019"},{"issue":"1","key":"10.1016\/j.neunet.2025.107263_b7","first-page":"1","article-title":"Grey matter changes on brain MRI in subjective cognitive decline: A systematic review","volume":"14","author":"Arrondo","year":"2022","journal-title":"Alzheimer\u2019s Research & Therapy"},{"issue":"365","key":"10.1016\/j.neunet.2025.107263_b8","first-page":"1","article-title":"Advanced normalization tools (ANTS)","volume":"2","author":"Avants","year":"2009","journal-title":"Insight Journal"},{"key":"10.1016\/j.neunet.2025.107263_b9","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.neurobiolaging.2020.12.005","article-title":"Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer\u2019s type based on a three-dimensional convolutional neural network","volume":"99","author":"Bae","year":"2021","journal-title":"Neurobiology of Aging"},{"issue":"7","key":"10.1016\/j.neunet.2025.107263_b10","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1109\/TBME.2015.2404809","article-title":"Domain transfer learning for MCI conversion prediction","volume":"62","author":"Cheng","year":"2015","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"s1","key":"10.1016\/j.neunet.2025.107263_b11","doi-asserted-by":"crossref","first-page":"S199","DOI":"10.3233\/JAD-179920","article-title":"Multimodal neuroimaging in Alzheimer\u2019s disease: Early diagnosis, physiopathological mechanisms, and impact of lifestyle","volume":"64","author":"Ch\u00e9telat","year":"2018","journal-title":"Journal of Alzheimer\u2019s Disease"},{"key":"10.1016\/j.neunet.2025.107263_b12","series-title":"IEEE conference on computer vision and pattern recognition","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database","author":"Deng","year":"2009"},{"issue":"1","key":"10.1016\/j.neunet.2025.107263_b13","doi-asserted-by":"crossref","first-page":"125","DOI":"10.3233\/JAD-221002","article-title":"Predicting conversion from subjective cognitive decline to mild cognitive impairment and Alzheimer\u2019s disease dementia using ensemble machine learning","volume":"93","author":"Dolcet-Negre","year":"2023","journal-title":"Journal of Alzheimer\u2019s Disease"},{"key":"10.1016\/j.neunet.2025.107263_b14","series-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"issue":"8","key":"10.1016\/j.neunet.2025.107263_b15","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/S1474-4422(07)70178-3","article-title":"Research criteria for the diagnosis of Alzheimer\u2019s disease: Revising the NINCDS\u2013ADRDA criteria","volume":"6","author":"Dubois","year":"2007","journal-title":"The Lancet Neurology"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b16","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0018111","article-title":"Combined evaluation of FDG-PET and MRI improves detection and differentiation of dementia","volume":"6","author":"Dukart","year":"2011","journal-title":"PLoS One"},{"issue":"2","key":"10.1016\/j.neunet.2025.107263_b17","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/MMUL.2022.3156471","article-title":"Multimodal fusion-based deep learning network for effective diagnosis of Alzheimer\u2019s disease","volume":"29","author":"Dwivedi","year":"2022","journal-title":"IEEE MultiMedia"},{"key":"10.1016\/j.neunet.2025.107263_b18","series-title":"Computer age statistical inference, student edition: Algorithms, evidence, and data science","author":"Efron","year":"2021"},{"key":"10.1016\/j.neunet.2025.107263_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2024.120967","article-title":"ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI","author":"Fang","year":"2025","journal-title":"NeuroImage"},{"key":"10.1016\/j.neunet.2025.107263_b20","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102664","article-title":"Contrastive domain adaptation with consistency match for automated pneumonia diagnosis","volume":"83","author":"Feng","year":"2023","journal-title":"Medical Image Analysis"},{"issue":"2","key":"10.1016\/j.neunet.2025.107263_b21","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neunet.2025.107263_b22","doi-asserted-by":"crossref","unstructured":"Gong, P., Ye, J. Zhang, C. (2012). Robust multi-task feature learning. In ACM SIGKDD international conference on knowledge discovery and data mining (pp. 895\u2013903).","DOI":"10.1145\/2339530.2339672"},{"issue":"11","key":"10.1016\/j.neunet.2025.107263_b23","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"Goodfellow","year":"2020","journal-title":"Communications of the ACM"},{"key":"10.1016\/j.neunet.2025.107263_b24","first-page":"1","article-title":"Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer\u2019s disease dementia: A systematic review","volume":"13","author":"Grueso","year":"2021","journal-title":"Alzheimer\u2019s Research & Therapy"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b25","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1109\/TBME.2021.3117407","article-title":"Domain adaptation for medical image analysis: A survey","volume":"69","author":"Guan","year":"2021","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"10.1016\/j.neunet.2025.107263_b26","series-title":"International conference on medical image computing and computer assisted intervention","first-page":"248","article-title":"Cost-sensitive meta-learning for progress prediction of subjective cognitive decline with brain structural MRI","author":"Guan","year":"2021"},{"issue":"6","key":"10.1016\/j.neunet.2025.107263_b27","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 Journal of Biomedical and Health Informatics"},{"key":"10.1016\/j.neunet.2025.107263_b28","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"2","key":"10.1016\/j.neunet.2025.107263_b29","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1016\/j.neuroimage.2010.10.081","article-title":"Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population","volume":"55","author":"Hinrichs","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.neunet.2025.107263_b30","series-title":"International workshop on similarity-based pattern recognition","first-page":"84","article-title":"Deep metric learning using triplet network","author":"Hoffer","year":"2015"},{"key":"10.1016\/j.neunet.2025.107263_b31","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"4700","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017"},{"issue":"4","key":"10.1016\/j.neunet.2025.107263_b32","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1002\/jmri.21049","article-title":"The Alzheimer\u2019s disease neuroimaging initiative (ADNI): MRI methods","volume":"27","author":"Jack","year":"2008","journal-title":"Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for Magnetic Resonance in Medicine"},{"issue":"6","key":"10.1016\/j.neunet.2025.107263_b33","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1016\/j.jalz.2014.01.001","article-title":"A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer\u2019s disease","volume":"10","author":"Jessen","year":"2014","journal-title":"Alzheimer\u2019s & Dementia"},{"key":"10.1016\/j.neunet.2025.107263_b34","series-title":"International conference on emerging trends in engineering and technology-signal and information processing","first-page":"1","article-title":"Transfer learning-assisted prognosis of Alzheimer\u2019s disease and mild cognitive impairment using structural-MRI","author":"Khan","year":"2022"},{"issue":"5","key":"10.1016\/j.neunet.2025.107263_b35","doi-asserted-by":"crossref","first-page":"1610","DOI":"10.1109\/JBHI.2015.2429556","article-title":"A robust deep model for improved classification of AD\/MCI patients","volume":"19","author":"Li","year":"2015","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"10.1016\/j.neunet.2025.107263_b36","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11682-021-00545-1","article-title":"Cognitive function assessment and prediction for subjective cognitive decline and mild cognitive impairment","volume":"16","author":"Li","year":"2022","journal-title":"Brain Imaging and Behavior"},{"issue":"8","key":"10.1016\/j.neunet.2025.107263_b37","doi-asserted-by":"crossref","first-page":"4056","DOI":"10.1109\/TNNLS.2021.3055772","article-title":"Multi-task weakly-supervised attention network for dementia status estimation with structural MRI","volume":"33","author":"Lian","year":"2021","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2025.107263_b38","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s12021-018-9370-4","article-title":"Multi-modality cascaded convolutional neural networks for Alzheimer\u2019s disease diagnosis","volume":"16","author":"Liu","year":"2018","journal-title":"NeuroInformatics"},{"key":"10.1016\/j.neunet.2025.107263_b39","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102135","article-title":"Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure","volume":"72","author":"Liu","year":"2021","journal-title":"Medical Image Analysis"},{"key":"10.1016\/j.neunet.2025.107263_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2021.102266","article-title":"Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages","volume":"75","author":"Liu","year":"2022","journal-title":"Medical Image Analysis"},{"issue":"5","key":"10.1016\/j.neunet.2025.107263_b41","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.1109\/TBME.2018.2869989","article-title":"Joint classification and regression via deep multi-task multi-channel learning for Alzheimer\u2019s disease diagnosis","volume":"66","author":"Liu","year":"2018","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"1","key":"10.1016\/j.neunet.2025.107263_b42","first-page":"1","article-title":"Electrophysiological brain signatures for the classification of subjective cognitive decline: Towards an individual detection in the preclinical stages of dementia","volume":"11","author":"L\u00f3pez-Sanz","year":"2019","journal-title":"Alzheimer\u2019s Research & Therapy"},{"issue":"5","key":"10.1016\/j.neunet.2025.107263_b43","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.jalz.2011.05.2410","article-title":"Neuropsychiatric symptoms in Alzheimer\u2019s disease","volume":"7","author":"Lyketsos","year":"2011","journal-title":"Alzheimer\u2019s & Dementia"},{"key":"10.1016\/j.neunet.2025.107263_b44","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.neuroscience.2021.01.002","article-title":"A transfer learning approach for early diagnosis of Alzheimer\u2019s disease on MRI images","volume":"460","author":"Mehmood","year":"2021","journal-title":"Neuroscience"},{"key":"10.1016\/j.neunet.2025.107263_b45","series-title":"European conference on computer vision","first-page":"488","article-title":"Metric learning for large scale image classification: Generalizing to new classes at near-zero cost","volume":"7573","author":"Mensink","year":"2012"},{"issue":"6","key":"10.1016\/j.neunet.2025.107263_b46","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/acps.12336","article-title":"Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: Meta-analysis","volume":"130","author":"Mitchell","year":"2014","journal-title":"Acta Psychiatrica Scandinavica"},{"key":"10.1016\/j.neunet.2025.107263_b47","article-title":"Efficient and robust feature selection via joint l2,1-norms minimization","volume":"23","author":"Nie","year":"2010","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"12","key":"10.1016\/j.neunet.2025.107263_b48","article-title":"A blood-based screening tool for Alzheimer\u2019s disease that spans serum and plasma: Findings from TARC and ADNI","volume":"6","author":"O\u2019Bryant","year":"2011","journal-title":"PLoS One"},{"key":"10.1016\/j.neunet.2025.107263_b49","series-title":"International conference on medical image computing and computer assisted intervention","first-page":"455","article-title":"Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer\u2019s disease diagnosis","author":"Pan","year":"2018"},{"key":"10.1016\/j.neunet.2025.107263_b50","series-title":"Cross-modal transformer GAN: A brain structure-function deep fusing framework for Alzheimer\u2019s disease","author":"Pan","year":"2022"},{"key":"10.1016\/j.neunet.2025.107263_b51","series-title":"Statistical parametric mapping: The analysis of functional brain images","author":"Penny","year":"2011"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b52","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.3233\/JAD-210334","article-title":"Relevance of complaint severity in predicting the progression of subjective cognitive decline and mild cognitive impairment: A machine learning approach","volume":"82","author":"Pereiro","year":"2021","journal-title":"Journal of Alzheimer\u2019s Disease"},{"issue":"12","key":"10.1016\/j.neunet.2025.107263_b53","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0225759","article-title":"Neuroimaging modality fusion in Alzheimer\u2019s classification using convolutional neural networks","volume":"14","author":"Punjabi","year":"2019","journal-title":"PLoS One"},{"issue":"9","key":"10.1016\/j.neunet.2025.107263_b54","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1176\/ajp.139.9.1136","article-title":"The global deterioration scale for assessment of primary degenerative dementia","volume":"139","author":"Reisberg","year":"1982","journal-title":"The American Journal of Psychiatry"},{"issue":"4","key":"10.1016\/j.neunet.2025.107263_b55","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1093\/brain\/awv004","article-title":"Early behavioural changes in familial Alzheimer\u2019s disease in the Dominantly Inherited Alzheimer Network","volume":"138","author":"Ringman","year":"2015","journal-title":"Brain"},{"key":"10.1016\/j.neunet.2025.107263_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116189","article-title":"Automated anatomical labelling atlas 3","volume":"206","author":"Rolls","year":"2020","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.neunet.2025.107263_b57","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1097\/01.mjt.0000208274.80496.f1","article-title":"Alzheimer disease and its management: A review","volume":"13","author":"Samanta","year":"2006","journal-title":"American Journal of Therapeutics"},{"issue":"5","key":"10.1016\/j.neunet.2025.107263_b58","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1212\/01.wnl.0000234032.77541.a2","article-title":"Older adults with cognitive complaints show brain atrophy similar to that of amnestic MCI","volume":"67","author":"Saykin","year":"2006","journal-title":"Neurology"},{"key":"10.1016\/j.neunet.2025.107263_b59","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"815","article-title":"FaceNet: A unified embedding for face recognition and clustering","author":"Schroff","year":"2015"},{"key":"10.1016\/j.neunet.2025.107263_b60","series-title":"IEEE 15th international symposium on biomedical imaging","first-page":"1394","article-title":"Deep fusion pipeline for mild cognitive impairment diagnosis","author":"Senanayake","year":"2018"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b61","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/hbm.10062","article-title":"Fast robust automated brain extraction","volume":"17","author":"Smith","year":"2002","journal-title":"Human Brain Mapping"},{"key":"10.1016\/j.neunet.2025.107263_b62","doi-asserted-by":"crossref","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","article-title":"Advances in functional and structural MR image analysis and implementation as FSL","volume":"23","author":"Smith","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.neunet.2025.107263_b63","article-title":"An effective multimodal image fusion method using MRI and PET for Alzheimer\u2019s disease diagnosis","volume":"3","author":"Song","year":"2021","journal-title":"Frontiers in DIgital JEalth"},{"key":"10.1016\/j.neunet.2025.107263_b64","series-title":"International conference on medical image computing and computer-assisted intervention","first-page":"583","article-title":"Deep learning-based feature representation for AD\/MCI classification","author":"Suk","year":"2013"},{"issue":"9","key":"10.1016\/j.neunet.2025.107263_b65","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1111\/j.1532-5415.1992.tb01992.x","article-title":"The mini-mental state examination: A comprehensive review","volume":"40","author":"Tombaugh","year":"1992","journal-title":"Journal of the American Geriatrics Society"},{"key":"10.1016\/j.neunet.2025.107263_b66","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.neunet.2025.107263_b67","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13024-020-00395-3","article-title":"Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer\u2019s disease","volume":"15","author":"Wang","year":"2020","journal-title":"Molecular Neurodegeneration"},{"issue":"1","key":"10.1016\/j.neunet.2025.107263_b68","doi-asserted-by":"crossref","first-page":"S173","DOI":"10.1016\/j.neuroimage.2008.10.055","article-title":"Bayesian analysis of neuroimaging data in FSL","volume":"45","author":"Woolrich","year":"2009","journal-title":"Neuroimage"},{"issue":"10","key":"10.1016\/j.neunet.2025.107263_b69","doi-asserted-by":"crossref","first-page":"992","DOI":"10.21037\/qims.2018.10.17","article-title":"Discrimination and conversion prediction of mild cognitive impairment using convolutional neural networks","volume":"8","author":"Wu","year":"2018","journal-title":"Quantitative Imaging in Medicine and Surgery"},{"issue":"2","key":"10.1016\/j.neunet.2025.107263_b70","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3109\/09638237.2015.1124385","article-title":"The China longitudinal ageing study: Overview of the demographic, psychosocial and cognitive data of the Shanghai sample","volume":"25","author":"Xiao","year":"2016","journal-title":"Journal of Mental Health"},{"key":"10.1016\/j.neunet.2025.107263_b71","series-title":"IEEE 19th international symposium on biomedical imaging","first-page":"1","article-title":"Advit: Vision transformer on multi-modality PET images for Alzheimer\u2019s disease diagnosis","author":"Xing","year":"2022"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b72","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.3233\/JAD-181049","article-title":"Early-stage identification and pathological development of Alzheimer\u2019s disease using multimodal MRI","volume":"68","author":"Yan","year":"2019","journal-title":"Journal of Alzheimer\u2019s Disease"},{"key":"10.1016\/j.neunet.2025.107263_b73","series-title":"International conference on medical image computing and computer-assisted intervention","first-page":"24","article-title":"Domain-prior-induced structural MRI adaptation for clinical progression prediction of subjective cognitive decline","author":"Yu","year":"2022"},{"issue":"05","key":"10.1016\/j.neunet.2025.107263_b74","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1097\/CM9.0000000000002566","article-title":"Progress in blood biomarkers of subjective cognitive decline in preclinical Alzheimer\u2019s disease","volume":"136","author":"Yu","year":"2023","journal-title":"Chinese Medical Journal"},{"issue":"1","key":"10.1016\/j.neunet.2025.107263_b75","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1002\/hbm.25216","article-title":"Prediction of 7-year\u2019s conversion from subjective cognitive decline to mild cognitive impairment","volume":"42","author":"Yue","year":"2021","journal-title":"Human Brain Mapping"},{"key":"10.1016\/j.neunet.2025.107263_b76","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.neucom.2019.04.093","article-title":"Multi-modal deep learning model for auxiliary diagnosis of Alzheimer\u2019s disease","volume":"361","author":"Zhang","year":"2019","journal-title":"Neurocomputing"},{"issue":"6","key":"10.1016\/j.neunet.2025.107263_b77","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1177\/0891988719862637","article-title":"Automated brain MRI volumetry differentiates early stages of Alzheimer\u2019s disease from normal aging","volume":"32","author":"Zhao","year":"2019","journal-title":"Journal of Geriatric Psychiatry and Neurology"},{"key":"10.1016\/j.neunet.2025.107263_b78","first-page":"1","article-title":"Malsar: Multi-task learning via structural regularization","volume":"21","author":"Zhou","year":"2011","journal-title":"Arizona State University"},{"issue":"3","key":"10.1016\/j.neunet.2025.107263_b79","doi-asserted-by":"crossref","first-page":"949","DOI":"10.3233\/JAD-170865","article-title":"Subjective cognitive decline, objective cognition, and depression in older Hispanics screened for memory impairment","volume":"63","author":"Zlatar","year":"2018","journal-title":"Journal of Alzheimer\u2019s Disease"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802500142X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802500142X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:17:35Z","timestamp":1778545055000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S089360802500142X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":79,"alternative-id":["S089360802500142X"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2025.107263","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2025,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2025.107263","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"107263"}}