@inproceedings{41b8ef95f00b404b854e704e27ac9f0f,
title = "Differential spatial activity patterns of acupuncture by a machine learning based analysis",
abstract = "Acupoint specificity, lying at the core of the Traditional Chinese Medicine, underlies the theoretical basis of acupuncture application. However, recent studies have reported that acupuncture stimulation at nonacupoint and acupoint can both evoke similar signal intensity decreases in multiple regions. And these regions were spatially overlapped. We used a machine learning based Support Vector Machine (SVM) approach to elucidate the specific neural response pattern induced by acupuncture stimulation. Group analysis demonstrated that stimulation at two different acupoints (belong to the same nerve segment but different meridians) could elicit distinct neural response patterns. Our findings may provide evidence for acupoint specificity.",
keywords = "Acupuncture, Functional magnetic resonance imaging (fMRI), Support Vector Machine (SVM)",
author = "Youbo You and Lijun Bai and Ting Xue and Chongguang Zhong and Zhenyu Liu and Jie Tian",
year = "2011",
doi = "10.1117/12.877981",
language = "英语",
isbn = "9780819485076",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2011",
note = "Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 13-02-2011 Through 16-02-2011",
}