CASIA OpenIR  > 中国科学院分子影像重点实验室
Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study
You, Youbo; Bai, Lijun; Dai, Ruwei; Xue, Ting; Zhong, Chongguang; Feng, Yuanyuan; Wang, Hu; Liu, Zhenyu; Tian, Jie
2011
会议名称the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
会议录名称Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
页码7099-7102
会议日期2011
会议地点Cancun,mexico
摘要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.
关键词Neural Responses Wavelet-based Time-frequency Analysis
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5426
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
You, Youbo,Bai, Lijun,Dai, Ruwei,et al. Differential neural responses to acupuncture revealed by MEG using wavelet-based time-frequency analysis: A pilot study[C],2011:7099-7102.
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