{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T05:24:21Z","timestamp":1768281861084,"version":"3.49.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Open access funding for this publication was provided by Manipal University Jaipur, India"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2025.3648664","type":"journal-article","created":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T18:27:16Z","timestamp":1766687236000},"page":"1812-1832","source":"Crossref","is-referenced-by-count":0,"title":["Hi-STMNA-GCN: A Hierarchical Spatio-Temporal Multi-Neighbor Graph Convolutional Network for Robust Alzheimer\u2019s Disease Detection From fMRI Data"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7260-2025","authenticated-orcid":false,"given":"Neeti","family":"Sangwan","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5319-8514","authenticated-orcid":false,"given":"Veena","family":"Mittal","sequence":"additional","affiliation":[{"name":"Department of Information Technology, Galgotias College of Engineering and Technology, Greater Noida, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9597-6206","authenticated-orcid":false,"given":"Deepak","family":"Sinwar","sequence":"additional","affiliation":[{"name":"Department of IoT and Intelligent Systems, Manipal University Jaipur, Jaipur, Rajasthan, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9132-1963","authenticated-orcid":false,"given":"Navdeep","family":"Bohra","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3432531"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2024.3485439"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2024.3439594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-024-01911-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.107291"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104571"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105162"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_39"},{"key":"ref9","first-page":"21","article-title":"MixHop: higher-order graph convolutional architectures via sparsified neighborhood mixing","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Abu-El-Haija"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3270937"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106700"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2212278"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.10.045"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2018.101645"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913847"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2017.01.002"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2022.886365"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104096"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.06.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3220220"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12112632"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.12.052"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3120024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88010-1_40"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph19084508"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref27","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015157"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2022.871706"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.07.013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3188728"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3212700"},{"key":"ref33","article-title":"A prior guided adversarial representation learning and hypergraph perceptual network for predicting abnormal connections of Alzheimer\u2019s disease","author":"Zuo","year":"2021","journal-title":"arXiv:2110.09302"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05655-9"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110546"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106788"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102674"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102932"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3325261"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107597"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3262948"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101950"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2022.170212"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2024.3523714"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2025.3537942"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2025.3529304"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref48","volume-title":"ADNI Data Samples","year":"2024"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11316112.pdf?arnumber=11316112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:03:22Z","timestamp":1768255402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11316112\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3648664","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}