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Proceedings Paper

Differential spatial activity patterns of acupuncture by a machine learning based analysis
Author(s): Youbo You; Lijun Bai; Ting Xue; Chongguang Zhong; Zhenyu Liu; Jie Tian
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Paper 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.

Paper Details

Date Published: 9 March 2011
PDF: 10 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79651Q (9 March 2011); doi: 10.1117/12.877981
Show Author Affiliations
Youbo You, Institute of Automation (China)
Lijun Bai, Institute of Automation (China)
Ting Xue, Xidian Univ. (China)
Chongguang Zhong, Institute of Automation (China)
Zhenyu Liu, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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