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Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

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第一作者： Wei,Peng

第一单位： Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650050, China. weipeng1980@gmail.com.;Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, 650050, China. weipeng1980@gmail.com.

作者： Wei,Peng ^[1] ; Chunshan,Li ^[2] ; Yanhan,Ma ^[2] ; Wei,Dai ^[3] ; Dongxiao,Fu ^[3] ; Li,Liu ^[3] ; Lijun,Liu ^[3] ; Ning,Yu ^[4] ; Jin,Liu ^[5]

作者单位： Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650050, China. weipeng1980@gmail.com.;Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, 650050, China. weipeng1980@gmail.com. ^[1] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650050, China. ^[2] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650050, China.;Computer Technology Application Key Lab of Yunnan Province, Kunming University of Science and Technology, Kunming, 650050, China. ^[3] Department of Computing Sciences, the College at Brockport, State University of New York, Brockport, 14422, USA. ^[4] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China. ^[5]

关键词 Alzheimer’s disease classification Functional MRI Graph neural network Positional encoding

DOI 10.1007/s12539-025-00759-7

PMID 40753124

发布时间 2025-08-02

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