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Currently, numerous studies have focused on utilizing the functional brain network as a novel biomarker for mild cognitive impairment diagnosis. In this context, we employed a graph convolutional neural network to automatically extract functional brain network features, eliminating the need for manual feature extraction, to improve the mild cognitive impairment diagnosis performance. However, previous graph convolutional neural network approaches have primarily concentrated on single modes of brain connectivity, leading to a failure to leverage the potential complementary information offered by diverse connectivity patterns and limiting their efficacy. To address this limitation, we introduce a novel method called the graph convolutional neural network with multimodel connectivity, which integrates multimode connectivity for the identification of mild cognitive impairment using fMRI data and evaluates the graph convolutional neural network with multimodel connectivity approach through a mild cognitive impairment diagnostic task on the Alzheimer\u2019s Disease Neuroimaging Initiative dataset. Overall, our experimental results show the superiority of the proposed graph convolutional neural network with multimodel connectivity approach, achieving an accuracy rate of 92.2% and an area under the Receiver Operating Characteristic (ROC) curve of 0.988.<\/jats:p>","DOI":"10.1093\/cercor\/bhae065","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T12:51:51Z","timestamp":1710161511000},"source":"Crossref","is-referenced-by-count":9,"title":["Utilizing graph convolutional networks for identification of mild cognitive impairment from single modal fMRI data: a multiconnection pattern combination approach"],"prefix":"10.1093","volume":"34","author":[{"given":"Jie","family":"He","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Chongqing Jiaotong University , Chongqing 400074 , China"},{"name":"Department of PET\/MR, Shanghai Universal Medical Imaging Diagnostic Center , Shanghai 200233 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Shanghai 411 Hospital , Shanghai 200080 , China"},{"name":"RongTong Medical Healthcare Group Co. Ltd. , Shanghai 20080 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"He","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Chongqing Jiaotong University , Chongqing 400074 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhao","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Radiology, Rugao Jian\u2019an Hospital , Rugao, Jiangsu 226500 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowen","family":"Xu","sequence":"additional","affiliation":[{"name":"Tongji University School of Medicine, Tongji University , Shanghai 200092 , China"},{"name":"Department of Medical Imaging, Tongji Hospital , Shanghai 200092 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Chongqing Jiaotong University , Chongqing 400074 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1142-6353","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Chongqing Jiaotong University , Chongqing 400074 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of PET\/MR, Shanghai Universal Medical Imaging Diagnostic Center , Shanghai 200233 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,3,9]]},"reference":[{"issue":"9","key":"2024031112514133400_ref1","doi-asserted-by":"crossref","first-page":"4620","DOI":"10.1002\/hbm.22499","article-title":"Functional brain networks and cognitive deficits in Parkinson's disease","volume":"35","author":"Baggio","year":"2014","journal-title":"Hum Brain Mapp"},{"issue":"6","key":"2024031112514133400_ref2","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.jalz.2008.08.006","article-title":"Healthy brain aging: a meeting report from the sylvan M. 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