{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T12:10:12Z","timestamp":1778674212183,"version":"3.51.4"},"reference-count":67,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:00:00Z","timestamp":1778630400000},"content-version":"vor","delay-in-days":132,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476004"],"award-info":[{"award-number":["62476004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Intelligent Systems"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:p>Depression is a serious mental disorder, and timely detection and treatment are crucial. Electroencephalography (EEG), as a noninvasive tool directly reflecting brain activity, is suitable for objective depression detection. However, due to difficulty in acquiring depression EEG data, public datasets suffer from limited sample sizes and insufficient exploitation of features, limiting current approaches in training sufficiency and generalization. To this end, this paper proposes an EEG collaborative diffusion framework (EEGCo\u2010Diff) to address small\u2010sample learning and sufficient feature utilization. Specifically, this study constructs a multicondition guided diffusion model conditioned on Riemannian manifold features and ground\u2010truth labels to generate high\u2010quality EEG samples while maintaining geometric consistency of the original distribution, effectively alleviating sample scarcity and distribution shift. Second, this study proposes a CNN interaction transformer network (CITNet) that fuses multilayer convolution and a transformer to model local details and global temporal dependencies and uses an oscillation\u2010aware module (OAM) to highlight key channel features. EEGCo\u2010Diff couples geometry\u2010prior\u2010driven data generation with structured temporal modeling, significantly improving discriminative power and generalization in small\u2010sample, heterogeneous settings. On two public EEG depression datasets, our method achieves accuracies of 89.44% and 95.03%, outperforming the strongest baselines by 8.34% and 1.03%, respectively, and establishing state\u2010of\u2010the\u2010art performance.<\/jats:p>","DOI":"10.1155\/int\/4496634","type":"journal-article","created":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T11:16:39Z","timestamp":1778670999000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["EEGCo\u2010Diff: Manifold\u2010Guided Diffusion and an Oscillation\u2010Aware Classifier for Sample\u2010Efficient EEG Depression Detection"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0005-6583","authenticated-orcid":false,"given":"Huang","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5522-0037","authenticated-orcid":false,"given":"Xinhui","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8103-4709","authenticated-orcid":false,"given":"Minchao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5338-9311","authenticated-orcid":false,"given":"Guowang","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6640-0045","authenticated-orcid":false,"given":"Jun","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4016-8575","authenticated-orcid":false,"given":"Zhao","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,5,13]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/14737175.2025.2470973"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2025.119811"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2023.3272553"},{"key":"e_1_2_10_4_2","doi-asserted-by":"crossref","first-page":"7749","DOI":"10.1109\/TCYB.2022.3197127","article-title":"Ms2-gnn: Exploring Gnn-Based Multimodal Fusion Network for Depression Detection","volume":"53","author":"Chen T.","year":"2022","journal-title":"IEEE Transactions on Cybernetics"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2024-0020"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2024.3401389"},{"key":"e_1_2_10_7_2","article-title":"Tdsfe-Net: A Temporal Dual-Stream Feature Extraction Network for Depression Detection from Eeg","author":"Li M.","year":"2025","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/tai.2024.3381096"},{"key":"e_1_2_10_9_2","first-page":"1","volume-title":"2024 International Joint Conference on Neural Networks (IJCNN)","author":"Li H.","year":"2024"},{"key":"e_1_2_10_10_2","doi-asserted-by":"crossref","first-page":"804","DOI":"10.1109\/ICTAI56018.2022.00124","volume-title":"2022 IEEE 34th International Conference on Tools With Artificial Intelligence (ICTAI)","author":"Qiao C.","year":"2022"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3338676"},{"key":"e_1_2_10_12_2","doi-asserted-by":"crossref","unstructured":"ShenF. ShuX. DuX. andTangJ. Pedestrian-Specific Bipartite-Aware Similarity Learning for Text-Based Person Retrieval Proceedings of the 31th ACM International Conference on Multimedia 2023.","DOI":"10.1145\/3581783.3612009"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2024.3404664"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2025.110045"},{"key":"e_1_2_10_15_2","doi-asserted-by":"crossref","DOI":"10.1109\/TIP.2023.3238642","article-title":"Git: Graph Interactive Transformer for Vehicle Re-Identification","volume":"32","author":"Shen F.","year":"2023","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2024.3360465"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3053999"},{"key":"e_1_2_10_18_2","volume-title":"Triplet Contrastive Learning for Unsupervised Vehicle Re-Identification","author":"Shen F.","year":"2023"},{"key":"e_1_2_10_19_2","first-page":"1971","volume-title":"ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","author":"Reddy S. D.","year":"2024"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01211-x"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0171409"},{"key":"e_1_2_10_22_2","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1109\/BigComp60711.2024.00077","volume-title":"2024 IEEE International Conference on Big Data and Smart Computing (BigComp)","author":"Lee D.","year":"2024"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1080\/15980316.2024.2381464"},{"key":"e_1_2_10_24_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-024-02624-x"},{"key":"e_1_2_10_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.130288"},{"key":"e_1_2_10_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/tdsc.2023.3333913"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102785"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00336-7"},{"key":"e_1_2_10_29_2","first-page":"1","volume-title":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","author":"Wickramaratne S. D.","year":"2023"},{"key":"e_1_2_10_30_2","unstructured":"ShenF. YeH. ZhangJ. WangC. HanX. andWeiY. Advancing Pose-Guided Image Synthesis With Progressive Conditional Diffusion Models The Twelfth International Conference on Learning Representations 2024 https:\/\/openreview.net\/forum?id=rHzapPnCgT."},{"key":"e_1_2_10_31_2","doi-asserted-by":"crossref","first-page":"6246","DOI":"10.52202\/079017-0202","article-title":"Imagpose: A Unified Conditional Framework for Pose-Guided Person Generation","volume":"37","author":"Shen F.","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_10_32_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i7.32728"},{"key":"e_1_2_10_33_2","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1109\/ISM63611.2024.00037","volume-title":"2024 International Symposium on Multimedia (ISM)","author":"Matsukawa G.","year":"2024"},{"key":"e_1_2_10_34_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i7.32729"},{"key":"e_1_2_10_35_2","volume-title":"Imaggarment-1: Fine-Grained Garment Generation for Controllable Fashion Design","author":"Shen F.","year":"2025"},{"key":"e_1_2_10_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2024.3366991"},{"key":"e_1_2_10_37_2","unstructured":"ShenF. WangC. GaoJ.et al. Long-Term Talkingface Generation via Motion-Prior Conditional Diffusion Model 2025 arXiv Preprint arXiv:2502.09533."},{"key":"e_1_2_10_38_2","volume-title":"Advanced Sign Language Video Generation With Compressed and Quantized Multi-Condition Tokenization","author":"Wang C.","year":"2025"},{"key":"e_1_2_10_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2024.3395359"},{"key":"e_1_2_10_40_2","first-page":"1","volume-title":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","author":"Zhong Y.","year":"2024"},{"key":"e_1_2_10_41_2","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2024.3491170"},{"key":"e_1_2_10_42_2","doi-asserted-by":"crossref","first-page":"2199","DOI":"10.1109\/DDCLS66240.2025.11065524","volume-title":"2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS)","author":"Jiang Y.","year":"2025"},{"key":"e_1_2_10_43_2","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1007\/978-3-030-91415-8_41","volume-title":"International Symposium on Bioinformatics Research and Applications","author":"Wei X.","year":"2021"},{"key":"e_1_2_10_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2023.3336467"},{"key":"e_1_2_10_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2023.3320693"},{"key":"e_1_2_10_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2025.3545204"},{"key":"e_1_2_10_47_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107440"},{"key":"e_1_2_10_48_2","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2025.3527459"},{"key":"e_1_2_10_49_2","doi-asserted-by":"publisher","DOI":"10.1080\/2326263x.2017.1297192"},{"key":"e_1_2_10_50_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116893"},{"key":"e_1_2_10_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2022.109642"},{"key":"e_1_2_10_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2017.2712143"},{"key":"e_1_2_10_53_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2024.111791"},{"key":"e_1_2_10_54_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-024-03685-1"},{"key":"e_1_2_10_55_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10866"},{"key":"e_1_2_10_56_2","first-page":"17","volume-title":"European Conference on Computer Vision","author":"Harandi M. T.","year":"2014"},{"key":"e_1_2_10_57_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2021.3105443"},{"key":"e_1_2_10_58_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105804"},{"key":"e_1_2_10_59_2","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"e_1_2_10_60_2","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2022.3199075"},{"key":"e_1_2_10_61_2","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"e_1_2_10_62_2","first-page":"1","volume-title":"2020 International Joint Conference on Neural Networks (IJCNN)","author":"Ding Y.","year":"2020"},{"key":"e_1_2_10_63_2","first-page":"3115","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2024)","author":"Ni Q.","year":"2024"},{"key":"e_1_2_10_64_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.129744"},{"key":"e_1_2_10_65_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111819"},{"key":"e_1_2_10_66_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121182"},{"key":"e_1_2_10_67_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.127248"}],"container-title":["International Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/int\/4496634","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/int\/4496634","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/int\/4496634","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T11:16:49Z","timestamp":1778671009000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/int\/4496634"}},"subtitle":[],"editor":[{"given":"Richard","family":"Murray","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":67,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1155\/int\/4496634"],"URL":"https:\/\/doi.org\/10.1155\/int\/4496634","archive":["Portico"],"relation":{},"ISSN":["0884-8173","1098-111X"],"issn-type":[{"value":"0884-8173","type":"print"},{"value":"1098-111X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"2025-12-23","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-04-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"4496634"}}