{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T01:38:50Z","timestamp":1783647530341,"version":"3.55.0"},"reference-count":67,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T00:00:00Z","timestamp":1716422400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100013076","name":"National Major Science and Technology Projects of China","doi-asserted-by":"publisher","award":["2022ZD0209000"],"award-info":[{"award-number":["2022ZD0209000"]}],"id":[{"id":"10.13039\/501100013076","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Intelligent Systems"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:p>\n                    Adolescent psychiatric disorders arise from intricate interactions of clinical histories and disruptions in brain development. While connections between psychopathology and brain functional connectivity are studied, the use of deep learning to elucidate overlapping neural mechanisms through multimodal brain images remains nascent. Utilizing two adolescent datasets\u2014the Philadelphia Neurodevelopmental Cohort (PNC,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20091100) and the Adolescent Brain Cognitive Development (ABCD,\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u20097536)\u2014this study employs interpretable neural networks and demonstrates that incorporating brain morphology, along with functional and structural networks, augments traditional clinical characteristics (age, gender, race, parental education, medical history, and trauma exposure). Predictive accuracy reaches 0.37\u20130.464 between real and predicted general psychopathology and four psychopathology dimensions (externalizing, psychosis, anxiety, and fear). The brain morphology and connectivities within the frontoparietal, default mode network, and visual associate networks are recurrent across general psychopathology and four psychopathology dimensions. Unique structural and functional pathways originating from the cerebellum, amygdala, and visual\u2010sensorimotor cortex are linked with these individual dimensions. Consistent findings across both PNC and ABCD affirm the generalizability. The results underscore the potential of diverse sensory inputs in steering executive processes tied to psychopathology dimensions in adolescents, hinting at neural avenues for targeted therapeutic interventions and preventive strategies.\n                  <\/jats:p>","DOI":"10.1002\/aisy.202300577","type":"journal-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T21:04:50Z","timestamp":1716498290000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents"],"prefix":"10.1002","volume":"7","author":[{"given":"Jing","family":"Xia","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering National University of Singapore  Singapore 117583 Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanguang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering National University of Singapore  Singapore 117583 Singapore"},{"name":"NUS (Suzhou) Research Institute National University of Singapore  Suzhou 215000 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0215-6338","authenticated-orcid":false,"given":"Anqi","family":"Qiu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering National University of Singapore  Singapore 117583 Singapore"},{"name":"Department of Health Technology and Informatics the Hong Kong Polytechnic University  Hong Kong Singapore"},{"name":"Department of Biomedical Engineering the Johns Hopkins University  Baltimore MD 21218 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2513"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/mpr.1359"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.clinpsy.2.022305.095213"},{"key":"e_1_2_10_4_1","first-page":"591","volume":"21","author":"Edition F.","year":"2013","journal-title":"Am. 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