{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T00:01:47Z","timestamp":1752192107639,"version":"3.41.2"},"reference-count":92,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Britanny Region"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Signal and Inf. Process. over Networks"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tsipn.2025.3577354","type":"journal-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T13:43:38Z","timestamp":1749217418000},"page":"617-629","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6255-4469","authenticated-orcid":false,"given":"S\u00e9bastien","family":"Dam","sequence":"first","affiliation":[{"name":"Univ Rennes, Inria, CNRS, Inserm, Rennes, France"}]},{"given":"Jean-Marie","family":"Batail","sequence":"additional","affiliation":[{"name":"Univ Rennes, Inria, CNRS, Inserm, Rennes, France"}]},{"given":"Pierre","family":"Maurel","sequence":"additional","affiliation":[{"name":"Univ Rennes, Inria, CNRS, Inserm, Rennes, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7774-8015","authenticated-orcid":false,"given":"Julie","family":"Coloigner","sequence":"additional","affiliation":[{"name":"Univ Rennes, Inria, CNRS, Inserm, Rennes, France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph182212022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2011.08.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2012.00072"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nrn3901"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3785"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2017.92"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-clinpsy-040510-143934"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25590"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpsc.2024.04.002"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1503\/jpn.230008"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-024-02954-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102398"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.janxdis.2023.102773"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.188.3.216"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2013.11.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2018.11.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-023-02520-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2022416"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2020.01.008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s40708-015-0019-x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2017.12.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/psyrad\/kkad026"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24802"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9631027"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2023.3262906"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpsc.2023.06.008"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO63174.2024.10715179"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/EECS.2018.00062"},{"key":"ref29","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120575"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/netn_a_00171"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.12.052"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.06.035"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0_64"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102242"},{"key":"ref37","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Defferrard","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105550"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110190"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-021-01185-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-018-0235-4"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.26059"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhx179"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-020-00711-6"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.06.092"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.14835"},{"key":"ref48","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot","year":"2010"},{"key":"ref49","article-title":"Fast graph representation learning with PyTorch Geometric","volume-title":"Proc. ICLR Workshop Representation Learn. Graphs Manifolds","author":"Fey","year":"2019"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-024-03864-0"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1001\/jamapsychiatry.2023.5083"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25095"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2024.103604"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07805-2"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1001\/jamapsychiatry.2022.1780"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2019.01421"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhw250"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119138"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-017-01285-x"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25529"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2022.103977"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102550"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102082"},{"key":"ref64","first-page":"119","article-title":"M-GCN: A multimodal graph convolutional network to integrate functional and structural connectomics data to predict multidimensional phenotypic characterizations","volume-title":"Proc. 4th Conf. Med. Imag. Deep Learn.","author":"Dsouza","year":"2021"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-021-01231-w"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2021.06.024"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0812686106"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2020.11.027"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2024.1933"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsycho.2008.05.004"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1186\/1471-244X-14-41"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.033"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaac.2013.10.001"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291723002325"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2024.1386984"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-024-06876-1"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2007.05.005"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/0278-2626(86)90035-7"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhae225"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1136\/gpsych-2020-100411"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3218745"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106113"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88210-5_9"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2024.100340"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"issue":"56","key":"ref86","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref87","first-page":"402","article-title":"Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Caruana","year":"2001"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106521"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107913"},{"key":"ref90","first-page":"25586","article-title":"Brain network transformer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kan","year":"2022"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.4088\/JCP.10m06176blu"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/s10802-014-9898-1"}],"container-title":["IEEE Transactions on Signal and Information Processing over Networks"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6884276\/10789318\/11027540.pdf?arnumber=11027540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T05:13:45Z","timestamp":1752124425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11027540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":92,"URL":"https:\/\/doi.org\/10.1109\/tsipn.2025.3577354","relation":{},"ISSN":["2373-776X","2373-7778"],"issn-type":[{"type":"electronic","value":"2373-776X"},{"type":"electronic","value":"2373-7778"}],"subject":[],"published":{"date-parts":[[2025]]}}}