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Proceedings Paper

Differential spectral power alteration following acupuncture at different designated places revealed by magnetoencephalography
Author(s): Youbo You; Lijun Bai; Ruwei Dai; Ting Xue; Chongguang Zhong; Zhenyu Liu; Hu Wang; Yuanyuan Feng; Wenjuan Wei; Jie Tian
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Paper Abstract

As an ancient therapeutic technique in Traditional Chinese Medicine, acupuncture has been used increasingly in modern society to treat a range of clinical conditions as an alternative and complementary therapy. However, acupoint specificity, lying at the core of acupuncture, still faces many controversies. Considering previous neuroimaging studies on acupuncture have mainly employed functional magnetic resonance imaging, which only measures the secondary effect of neural activity on cerebral metabolism and hemodynamics, in the current study, we adopted an electrophysiological measurement technique named magnetoencephalography (MEG) to measure the direct neural activity. 28 healthy college students were recruited in this study. We filtered MEG data into 5 consecutive frequency bands (delta, theta, alpha, beta and gamma band) and grouped 140 sensors into 10 main brain regions (left/right frontal, central, temporal, parietal and occipital regions). Fast Fourier Transformation (FFT) based spectral analysis approach was further performed to explore the differential band-limited power change patterns of acupuncture at Stomach Meridian 36 (ST36) using a nearby nonacupoint (NAP) as control condition. Significantly increased delta power and decreased alpha as well as beta power in bilateral frontal ROIs were observed following stimulation at ST36. Compared with ST36, decreased alpha power in left and right central, right parietal as well as right temporal ROIs were detected in NAP group. Our research results may provide additional evidence for acupoint specificity.

Paper Details

Date Published: 14 April 2012
PDF: 8 pages
Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 83170U (14 April 2012); doi: 10.1117/12.911261
Show Author Affiliations
Youbo You, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Lijun Bai, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Ruwei Dai, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Ting Xue, Life Sciences Research Ctr., Xidian Univ. (China)
Chongguang Zhong, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Zhenyu Liu, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Hu Wang, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Yuanyuan Feng, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Wenjuan Wei, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Jie Tian, Key Lab. of Complex Systems and Intelligence Science, Institute of Automation (China)
Life Sciences Research Ctr., Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8317:
Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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