Distinct brain networks for time-varied characteristics of acupuncture

Neuroscience Letters
Jixin LiuJie Tian

Abstract

Clinical acupuncture typically involves an effective treatment phase several hours post-therapy. We previously identified regions that carry the time-varied signals based on the BLOCK experimental paradigm. Here we characterize the brain network by applying the graph theory analysis during the post-acupuncture resting state. Our results show gradually increasing connections in the brainstem during verum acupuncture (ACU). The anterior insula plays an important role in connecting the components of the brain networks following ACU. We suggest that acupuncture can induce significant complex response patterns with relatively more robust magnitudes. Our findings provide direct evidence that the post-needling resting state contains acupuncture-related effects that are due to the slow-acting nature of acupuncture.

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Citations

Feb 2, 2013·Acupuncture in Medicine : Journal of the British Medical Acupuncture Society·Jixin LiuJie Tian
Mar 25, 2011·Molecular Pain·Wei QinYijun Liu
Jan 15, 2013·Evidence-based Complementary and Alternative Medicine : ECAM·Jinbo SunJie Tian
May 28, 2011·Magnetic Resonance Imaging·Yuanyuan FengJie Tian
Dec 25, 2010·Journal of Magnetic Resonance Imaging : JMRI·Jixin LiuJie Tian
Jun 6, 2013·Evidence-based Complementary and Alternative Medicine : ECAM·Chuanfu LiJie Tian
Apr 23, 2015·Autonomic Neuroscience : Basic & Clinical·Tian HeCun-Zhi Liu
Aug 31, 2010·Neuroscience and Biobehavioral Reviews·Ji-Sheng Han, Yuh-Shan Ho
Nov 3, 2016·Frontiers in Human Neuroscience·Xiangyu LongDaniel Pach

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