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Abstract #2722

The ALFF alterations in maintenance hemodialysis patients with sleep disorder:a rs-fMRI study combined with machine learning analysis

Menghan Feng1, Yue Zhang2, Zeying Wen3,4, Yuchi Wu2, Chengwei Fu3, Kan Deng5, Qizhan Lin2, and Bo Liu2
1Xin-Huangpu Joint Innovation Institute of Chinese Medicine in Guangdong Province, Guangzhou, China, 2The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 3Guangzhou University of Chinese Medicine, Guangzhou, China, 4The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China, 5Philips Healthcare, Guangzhou, China

Synopsis

Keywords: fMRI (resting state), KidneyThe prevalence of SD is high in chronic kidney disorder patients who suffering maintenance hemodialysis whereas little is known about the neuropathologic mechanism. We investigated the ALFF alterations between MHDSD patients and HCs and those meaningful features were used for constructing discriminating model based the SVM algorithm to classify the MHDSD patients. We found the aberrant spontaneous activities in the DMN, AN, CEN, and VIN in MHDSD patients. Additionally, the classifier indicated the discriminative ALFF features in the above regions demonstrated good performance. This will contribute to well understanding the neuropathological mechanism and seeking biomarkers for discrimination in MHDSD patients.

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