NDLI: Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study

Content Provider	IEEE Xplore Digital Library
Author	Youbo You Lijun Bai Ruwei Dai Ting Xue Chongguang Zhong Yuanyuan Feng Hu Wang Zhenyu Liu Jie Tian
Copyright Year	2011
Description	Author affiliation: Intelligent Medical Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Youbo You) \|\| Intelligent Medical Research Center, Institute of Automation, Chinese Academy of Sciences, Beijng, China (Lijun Bai; Jie Tian)
Abstract	Acupoint specificity, lying at the core of the Traditional Chinese Medicine, still faces many controversies. As previous neuroimaging studies on acupuncture mainly adopted relatively low time-resolution functional magnetic resonance imaging (fMRI) technology and inappropriate block-designed experimental paradigm due to sustained effect, in the current study, we employed a single block-designed paradigm together with high temporal-resolution magnetoencephalography (MEG) technology. We applied time-frequency analysis based upon Morlet wavelet transforming approach to detect differential oscillatory brain dynamics induced by acupuncture at Stomach Meridian 36 (ST36) using a nearby nonacupoint (NAP) as control condition. We observed that frequency power changes were mainly restricted to delta band for both ST36 group and NAP group. Consistently increased delta band power in contralateral temporal regions and decreased power in the counterparts of ipsilateral hemisphere were detected following stimulation at ST36 on the right leg. Compared with ST36, no significant delta ranges were found in temporal regions in NAP group, illustrating different oscillatory brain patterns. Our results may provide additional evidence to support the specificity of acupuncture modulation effects.
Starting Page	7099
Ending Page	7102
File Size	587582
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Humans Biomedical imaging Visualization Pain Sensors Magnetic resonance imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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