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This network comprehensively captures abnormalities in brain network structures induced by AD, across different frequency bands and connectivity modes. By leveraging a multi-dimensional feature extraction and fusion strategy, the model effectively identifies EEG pattern changes associated with AD, enhancing detection accuracy. Experimental results demonstrate that this method achieves a classification accuracy of 95.09% and an AUC of 98.36% on the ds00450 dataset from the OpenNeuro database, significantly outperforming traditional approaches and validating its superior performance in AD detection. Code is available at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/github.com\/brief-city\/MFE-FCGCN-model\" ext-link-type=\"uri\">https:\/\/github.com\/brief-city\/MFE-FCGCN-model<\/jats:ext-link>.<\/jats:p>","DOI":"10.1007\/s40747-025-01974-x","type":"journal-article","created":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T05:07:39Z","timestamp":1751260059000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multi-frequency EEG and multi-functional connectivity graph convolutional network based detection method of patients with Alzheimer\u2019s disease"],"prefix":"10.1007","volume":"11","author":[{"given":"Yujian","family":"Liu","sequence":"first","affiliation":[]},{"given":"Libing","family":"An","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2073-0433","authenticated-orcid":false,"given":"Haiqiang","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5549-312X","authenticated-orcid":false,"given":"Shuzhi Sam","family":"Ge","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,30]]},"reference":[{"key":"1974_CR1","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.jalz.2019.01.010","volume":"15","author":"Alzheimer\u2019s Association","year":"2019","unstructured":"Alzheimer\u2019s Association (2019) 2019 Alzheimer\u2019s disease facts and figures. 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