{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T11:38:13Z","timestamp":1758281893507,"version":"3.44.0"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032051615","type":"print"},{"value":"9783032051622","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05162-2_40","type":"book-chapter","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T23:27:25Z","timestamp":1758238045000},"page":"416-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating Meta-analysis in\u00a0Multi-modal Brain Studies with\u00a0Graph-Based Attention Transformer"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6331-1824","authenticated-orcid":false,"given":"Hyoungshin","family":"Choi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3813-4229","authenticated-orcid":false,"given":"Sunghun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3322-558X","authenticated-orcid":false,"given":"Jong-eun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7096-337X","authenticated-orcid":false,"given":"Bo-yong","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5681-8918","authenticated-orcid":false,"given":"Hyunjin","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,19]]},"reference":[{"issue":"1","key":"40_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/sdata.2017.181","volume":"4","author":"LM Alexander","year":"2017","unstructured":"Alexander, L.M., et al.: An open resource for transdiagnostic research in pediatric mental health and learning disorders. Sci. Data 4(1), 1\u201326 (2017)","journal-title":"Sci. Data"},{"key":"40_CR2","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.neuroimage.2016.02.079","volume":"145","author":"MR Arbabshirani","year":"2017","unstructured":"Arbabshirani, M.R., Plis, S., Sui, J., Calhoun, V.D.: Single subject prediction of brain disorders in neuroimaging: promises and pitfalls. Neuroimage 145, 137\u2013165 (2017)","journal-title":"Neuroimage"},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Bannadabhavi, A., Lee, S., Deng, W., Ying, R., Li, X.: Community-aware transformer for autism prediction in fMRI connectome. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 287\u2013297. Springer (2023)","DOI":"10.1007\/978-3-031-43993-3_28"},{"key":"40_CR4","doi-asserted-by":"publisher","first-page":"74","DOI":"10.3389\/fpsyg.2014.00074","volume":"5","author":"AA Brewer","year":"2014","unstructured":"Brewer, A.A., Barton, B.: Visual cortex in aging and Alzheimer\u2019s disease: changes in visual field maps and population receptive fields. Front. Psychol. 5, 74 (2014)","journal-title":"Front. Psychol."},{"key":"40_CR5","doi-asserted-by":"crossref","unstructured":"Cerami, C., et al.: Brain metabolic maps in mild cognitive impairment predict heterogeneity of progression to dementia. NeuroImage Clin. 7, 187\u2013194 (2015)","DOI":"10.1016\/j.nicl.2014.12.004"},{"key":"40_CR6","doi-asserted-by":"crossref","unstructured":"Choi, H., Byeon, K., Lee, J.E., Hong, S.J., Park, B.Y., Park, H.: Identifying subgroups of eating behavior traits unrelated to obesity using functional connectivity and feature representation learning. Hum. Brain Mapp. 45(1), e26581 (2024)","DOI":"10.1002\/hbm.26581"},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Choi, H., et al.: Diagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles. NeuroImage 256, 119212 (2022)","DOI":"10.1016\/j.neuroimage.2022.119212"},{"key":"40_CR8","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.neuroimage.2017.07.053","volume":"159","author":"J Chung","year":"2017","unstructured":"Chung, J., et al.: Normalization of cortical thickness measurements across different T1 magnetic resonance imaging protocols by novel w-score standardization. Neuroimage 159, 224\u2013235 (2017)","journal-title":"Neuroimage"},{"issue":"1","key":"40_CR9","doi-asserted-by":"publisher","first-page":"7063","DOI":"10.1038\/s41467-024-51395-6","volume":"15","author":"E Collins","year":"2024","unstructured":"Collins, E., et al.: Mapping the structure-function relationship along macroscale gradients in the human brain. Nat. Commun. 15(1), 7063 (2024)","journal-title":"Nat. Commun."},{"issue":"2","key":"40_CR10","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1109\/TMI.2022.3218745","volume":"42","author":"H Cui","year":"2022","unstructured":"Cui, H., et al.: Braingb: a benchmark for brain network analysis with graph neural networks. IEEE Trans. Med. Imaging 42(2), 493\u2013506 (2022)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Dock\u00e8s, J., et al.: Neuroquery, comprehensive meta-analysis of human brain mapping. eLife 9, e53385 (2020)","DOI":"10.7554\/eLife.53385"},{"issue":"1","key":"40_CR12","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1038\/s41592-018-0235-4","volume":"16","author":"O Esteban","year":"2019","unstructured":"Esteban, O., et al.: fMRIPrep: a robust preprocessing pipeline for functional MRI. Nat. Methods 16(1), 111\u2013116 (2019)","journal-title":"Nat. Methods"},{"issue":"7","key":"40_CR13","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1016\/j.jalz.2015.05.001","volume":"11","author":"WJ Jagust","year":"2015","unstructured":"Jagust, W.J., et al.: The Alzheimer\u2019s disease neuroimaging initiative 2 pet core: 2015. Alzheimer\u2019s Dement. 11(7), 757\u2013771 (2015)","journal-title":"Alzheimer\u2019s Dement."},{"key":"40_CR14","first-page":"25586","volume":"35","author":"X Kan","year":"2022","unstructured":"Kan, X., Dai, W., Cui, H., Zhang, Z., Guo, Y., Yang, C.: Brain network transformer. Adv. Neural. Inf. Process. Syst. 35, 25586\u201325599 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"1","key":"40_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jalz.2014.07.003","volume":"11","author":"WE Klunk","year":"2015","unstructured":"Klunk, W.E., et al.: The centiloid project: standardizing quantitative amyloid plaque estimation by PET. Alzheimer\u2019s Dement. 11(1), 1\u201315 (2015)","journal-title":"Alzheimer\u2019s Dement."},{"issue":"4","key":"40_CR16","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.cpr.2006.01.005","volume":"26","author":"AL Krain","year":"2006","unstructured":"Krain, A.L., Castellanos, F.X.: Brain development and ADHD. Clin. Psychol. Rev. 26(4), 433\u2013444 (2006)","journal-title":"Clin. Psychol. Rev."},{"key":"40_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233","volume":"74","author":"X Li","year":"2021","unstructured":"Li, X., et al.: Braingnn: interpretable brain graph neural network for fMRI analysis. Med. Image Anal. 74, 102233 (2021)","journal-title":"Med. Image Anal."},{"issue":"4","key":"40_CR18","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1017\/S135561771500020X","volume":"21","author":"HY Lin","year":"2015","unstructured":"Lin, H.Y., Tseng, W.Y.I., Lai, M.C., Matsuo, K., Gau, S.S.F.: Altered resting-state frontoparietal control network in children with attention-deficit\/hyperactivity disorder. J. Int. Neuropsychol. Soc. 21(4), 271\u2013284 (2015)","journal-title":"J. Int. Neuropsychol. Soc."},{"issue":"10","key":"40_CR19","doi-asserted-by":"publisher","first-page":"e413","DOI":"10.1097\/RLU.0000000000000547","volume":"39","author":"C Marcus","year":"2014","unstructured":"Marcus, C., Mena, E., Subramaniam, R.M.: Brain pet in the diagnosis of Alzheimer\u2019s disease. Clin. Nucl. Med. 39(10), e413\u2013e426 (2014)","journal-title":"Clin. Nucl. Med."},{"issue":"2","key":"40_CR20","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.pscychresns.2006.09.006","volume":"154","author":"GM McAlonan","year":"2007","unstructured":"McAlonan, G.M., et al.: Mapping brain structure in attention deficit-hyperactivity disorder: a voxel-based MRI study of regional grey and white matter volume. Psychiatry Res. Neuroimaging 154(2), 171\u2013180 (2007)","journal-title":"Psychiatry Res. Neuroimaging"},{"issue":"3","key":"40_CR21","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1109\/LRA.2023.3234771","volume":"8","author":"T Monninger","year":"2023","unstructured":"Monninger, T., et al.: Scene: reasoning about traffic scenes using heterogeneous graph neural networks. IEEE Robot. Autom. Lett. 8(3), 1531\u20131538 (2023)","journal-title":"IEEE Robot. Autom. Lett."},{"issue":"9","key":"40_CR22","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","volume":"28","author":"A Schaefer","year":"2018","unstructured":"Schaefer, A., et al.: Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cereb. Cortex 28(9), 3095\u20133114 (2018)","journal-title":"Cereb. Cortex"},{"issue":"6","key":"40_CR23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000808","volume":"6","author":"J Sepulcre","year":"2010","unstructured":"Sepulcre, J., Liu, H., Talukdar, T., Martincorena, I., Yeo, B.T., Buckner, R.L.: The organization of local and distant functional connectivity in the human brain. PLoS Comput. Biol. 6(6), e1000808 (2010)","journal-title":"PLoS Comput. Biol."},{"key":"40_CR24","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks. In: International Conference on Learning Representations (2018). https:\/\/openreview.net\/forum?id=rJXMpikCZ"},{"issue":"5","key":"40_CR25","doi-asserted-by":"publisher","first-page":"e111","DOI":"10.1016\/j.jalz.2013.05.1769","volume":"9","author":"MW Weiner","year":"2013","unstructured":"Weiner, M.W., et al.: The Alzheimer\u2019s disease neuroimaging initiative: a review of papers published since its inception. Alzheimer\u2019s Dement. 9(5), e111\u2013e194 (2013)","journal-title":"Alzheimer\u2019s Dement."},{"issue":"8","key":"40_CR26","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1038\/nmeth.1635","volume":"8","author":"T Yarkoni","year":"2011","unstructured":"Yarkoni, T., Poldrack, R.A., Nichols, T.E., Van Essen, D.C., Wager, T.D.: Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 8(8), 665\u2013670 (2011)","journal-title":"Nat. Methods"},{"key":"40_CR27","first-page":"28877","volume":"34","author":"C Ying","year":"2021","unstructured":"Ying, C., et al.: Do transformers really perform badly for graph representation? Adv. Neural. Inf. Process. Syst. 34, 28877\u201328888 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"6","key":"40_CR28","doi-asserted-by":"publisher","first-page":"628","DOI":"10.2174\/1567205013666161201201000","volume":"14","author":"E Yu","year":"2017","unstructured":"Yu, E., et al.: Directed functional connectivity of posterior cingulate cortex and whole brain in Alzheimer\u2019s disease and mild cognitive impairment. Curr. Alzheimer Res. 14(6), 628\u2013635 (2017)","journal-title":"Curr. Alzheimer Res."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05162-2_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T23:27:31Z","timestamp":1758238051000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05162-2_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,19]]},"ISBN":["9783032051615","9783032051622"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05162-2_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,19]]},"assertion":[{"value":"19 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors declare no competing interests relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}