News Release

Effect of repeated-pulse transcranial magnetic stimulation at the Guangming point on EEGs

Peer-Reviewed Publication

Neural Regeneration Research

Electroencephalogram Signals

image: Distribution of the 19 channels used to plot the electroencephalogram signal sample-entropy map. view more 

Credit: <I>Neural Regeneration Research</I>

In a recent study reported in the Neural Regeneration Research, repeated-pulse transcranial magnetic stimulation was administered to healthy people at the left Guangming (GB37) and a mock point, and calculated the sample entropy of electroencephalogram signals using nonlinear dynamics. Additionally, researchers compared electroencephalogram sample entropy of signals in response to visual stimulation before, during, and after repeated-pulse transcranial magnetic stimulation at the Guangming. Results showed that repeated-pulse transcranial magnetic stimulation at the Guangming evokes different patterns of electroencephalogram signals than repeated-pulse transcranial magnetic stimulation at other nearby points on the body surface, and that repeated-pulse transcranial magnetic stimulation at the Guangming is associated with changes in the complexity of visually evoked electroencephalogram signals in parietal regions, central gyrus, and temporal regions.

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Article: " Analysis of the effect of repeated-pulse transcranial magnetic stimulation at the Guangming point on electroencephalograms," by Xin Zhang1, Lingdi Fu2, Yuehua Geng2, Xiang Zhai3, Yanhua Liu4

(1 Tianjin Polytechnic University, Tianjin, China; 2 Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Hebei University of Technology, Tianjin, China; 3 Department of Otorhinolaryngology, Tianjin Huanhu Hospital, Tianjin, China; 4 Hebei College of Industry and Technology, Shijiazhuang, Hebei Province, China)

Zhang X, Fu LD, Geng YH, Zhai X, Liu YH. Analysis of the effect of repeated-pulse transcranial magnetic stimulation at the Guangming point on electroencephalograms. Neural Regen Res. 2014;9(5):549-554.

Contact: Meng Zhao
eic@nrren.org
86-138-049-98773
Neural Regeneration Research
http://www.nrronline.org/


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