{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T03:49:12Z","timestamp":1792036152212,"version":"4.4.0"},"reference-count":23,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["51977060"],"award-info":[{"award-number":["51977060"]}]},{"name":"the National Natural Science Foundation of China","award":["QN2021043"],"award-info":[{"award-number":["QN2021043"]}]},{"name":"Science and Technology Research Project for Colleges and Universities in Hebei Province","award":["51977060"],"award-info":[{"award-number":["51977060"]}]},{"name":"Science and Technology Research Project for Colleges and Universities in Hebei Province","award":["QN2021043"],"award-info":[{"award-number":["QN2021043"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Epilepsy is a chronic brain disease with recurrent seizures. Mesial temporal lobe epilepsy (MTLE) is the most common pathological cause of epilepsy. With the development of computer-aided diagnosis technology, there are many auxiliary diagnostic approaches based on deep learning algorithms. However, the causes of epilepsy are complex, and distinguishing different types of epilepsy accurately is challenging with a single mode of examination. In this study, our aim is to assess the combination of multi-modal epilepsy medical information from structural MRI, PET image, typical clinical symptoms and personal demographic and cognitive data (PDC) by adopting a multi-channel 3D deep convolutional neural network and pre-training PET images. The results show better diagnosis accuracy than using one single type of medical data alone. These findings reveal the potential of a deep neural network in multi-modal medical data fusion.<\/jats:p>","DOI":"10.3390\/bioengineering10101234","type":"journal-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T12:59:01Z","timestamp":1697893141000},"page":"1234","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Integrated Multi-Channel Deep Neural Network for Mesial Temporal Lobe Epilepsy Identification Using Multi-Modal Medical Data"],"prefix":"10.3390","volume":"10","author":[{"given":"Ruowei","family":"Qu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Ji","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shifeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin Universal Medical Imaging Diagnostic Center, Tianjin 300110, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaonan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Le","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Functional Neurosurgery, Huanhu Hospital, Tianjin 300350, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5787-1155","authenticated-orcid":false,"given":"Xinsheng","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoya","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Functional Neurosurgery, Huanhu Hospital, Tianjin 300350, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhua","family":"Gu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alan","family":"Wang","sequence":"additional","affiliation":[{"name":"Auckland Bioengineering Institute, The University of Auckland, Grafton, Auckland 1010, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guizhi","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1109\/TLA.2023.10068845","article-title":"A Deep Learning Approach for Epilepsy Seizure Identification Using Electroencephalogram Signals: A Preliminary Study","volume":"21","author":"Sergio","year":"2023","journal-title":"IEEE Lat. 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