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Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses.

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第一作者： Qianqian,Lin

第一单位： School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong 518060, China; Department of Brain Functioning Research, The Seventh Hospital of Hangzhou, 305 Tianmushan Road, Hangzhou, Zhejiang, China.

作者： Qianqian,Lin ^[1] ; Gan,Huang ^[2] ; Linling,Li ^[2] ; Li,Zhang ^[2] ; Zhen,Liang ^[2] ; Ahmed M,Anter ^[2] ; Zhiguo,Zhang ^[3]

作者单位： School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong 518060, China; Department of Brain Functioning Research, The Seventh Hospital of Hangzhou, 305 Tianmushan Road, Hangzhou, Zhejiang, China. ^[1] School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong 518060, China. ^[2] School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong 518060, China; Peng Cheng Laboratory, Shenzhen, Guangdong 518055, China. Electronic address: zgzhang@szu.edu.cn. ^[3]

关键词 Individual difference Individualized prediction Machine learning Pain prediction fMRI