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The architecture comprises two fundamental components: (1) guided multihead attention, which facilitates context\u2010aware interactions across modalities, and (2) dedicated self\u2010attention pathways that ensure the preservation of key unimodal features. To enhance the estimation of depression severity, a cascaded fusion strategy is employed, combining feature superposition with hierarchical stacking. When evaluated on a Chinese localized depression dataset, CMCAN demonstrates exceptional performance, achieving optimal results (accuracy: 0.839; precision: 0.829; recall: 0.863) with its audiovisual guided coattention module (AVGA (SA (V), SA (A))) comprising three cascaded layers. The framework consistently surpasses unimodal baselines across various emotional valence stimuli (positive, neutral, and negative) and achieves state\u2010of\u2010the\u2010art performance on AVEC 2014 (MAE: 5.38). Comprehensive ablation studies validate the effectiveness of individual components, whereas comparative analyses demonstrate significant improvements over existing multimodal fusion approaches. These findings underscore the robustness and generalizability of CMCAN, validating its effectiveness in harmonizing cross\u2010modal synergy while preserving modality\u2010specific features, thereby advancing practical solutions for automated depression detection.<\/jats:p>","DOI":"10.1155\/int\/1866250","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T09:51:22Z","timestamp":1768384282000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Transformer\u2010Based Cross\u2010Modal Coattention Framework for Multimodal Depression Detection"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-9501-1010","authenticated-orcid":false,"given":"Weitong","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2712-1761","authenticated-orcid":false,"given":"Ziyu","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2242-973X","authenticated-orcid":false,"given":"Xiangguo","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1091-6939","authenticated-orcid":false,"given":"Yaping","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1976-0287","authenticated-orcid":false,"given":"Sifu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8939-3386","authenticated-orcid":false,"given":"Hongwu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,1,14]]},"reference":[{"key":"e_1_2_15_1_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0030442"},{"key":"e_1_2_15_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-6471-0"},{"key":"e_1_2_15_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2015.03.004"},{"key":"e_1_2_15_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2020.01.012"},{"key":"e_1_2_15_5_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12888-019-2300-7"},{"key":"e_1_2_15_6_2","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12113"},{"key":"e_1_2_15_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104970"},{"key":"e_1_2_15_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3575085"},{"key":"e_1_2_15_9_2","volume-title":"Depression: Causes and Treatment","author":"Beck A. 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