机构:[a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Changchun Street No. 45, Xuan Wu District, Beijing 100053, China放射科首都医科大学宣武医院[b]Department of Radiology, Guanganmen Hospital, Chinese Academy of Traditional Medicine, Beijing 100053, China[c]Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Zhong Guancun East Rd. No. 95, Beijing 100190, China
Acupoint specificity is still a contentious issue and remains to be verified whether brain, response is as specific as the purported indication of different acupoints. Previous fMRI acupuncture, studies based on multiple-block design may not be able to fully disclose acupuncture effects. Both, recent studies and certain clinical reports have indicated that there exists time-sustainability during, acupuncture even after the stimulus being terminated. Further understanding of how such external, intervention interacts with post-stimulus resting brain networks may enlighten us to gain an, appreciation of the physiological function and integrated mechanisms involved in acupuncture. In our, study, we adopted a modified non-repeated event-related (NRER) design, and utilized the graph theory, based functional connectivity analysis to investigate the neural specificity of the PC6, with the same, meridian acupoint PC7 and a different meridian acupoint GB37 as separate controls. Under the, construct of this network model, some brain regions with a larger degree of connectivity indicated, stronger interactions with other brain regions and were considered to be important nodes in this, network. We identified that the two most important brain areas were the right nodule and right uvula, following acupuncture at PC6, and the right amygdala and right inferior parietal lobe following, acupuncture at PC7. Following the GB37, the two regions with the larger degree of connectivity were, the posterior cingulate cortex (PCC) and middle occipital gyrus. These specific regions may mediate the, specific effects of acupuncture. Results showed that different modulatory brain networks may support, the point specificity of acupuncture. Crown Copyright (C) 2010 Published by Elsevier Ireland Ltd. All rights reserved.
基金:
the knowledge innovation program of the Chinese academy of sciences under grant no.KGCX2-YW-129,
the Project for the National Key Basic Research and Development Program (973) under Grant no. 2006CB705700, the National Natural Science Foundation of China under Grant nos. 30873462, 30970774, 60901064.
第一作者机构:[a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Changchun Street No. 45, Xuan Wu District, Beijing 100053, China[b]Department of Radiology, Guanganmen Hospital, Chinese Academy of Traditional Medicine, Beijing 100053, China
通讯作者:
通讯机构:[a]Department of Radiology, Xuanwu Hospital, Capital Medical University, Changchun Street No. 45, Xuan Wu District, Beijing 100053, China[c]Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, Zhong Guancun East Rd. No. 95, Beijing 100190, China
推荐引用方式(GB/T 7714):
Yanshuang Ren,Lijun Bai,Yuanyuan Feng,et al.Investigation of acupoint specificity by functional connectivity analysis based on graph theory[J].NEUROSCIENCE LETTERS.2010,482(2):95-100.doi:10.1016/j.neulet.2010.06.091.
APA:
Yanshuang Ren,Lijun Bai,Yuanyuan Feng,Jie Tian&Kuncheng Li.(2010).Investigation of acupoint specificity by functional connectivity analysis based on graph theory.NEUROSCIENCE LETTERS,482,(2)
MLA:
Yanshuang Ren,et al."Investigation of acupoint specificity by functional connectivity analysis based on graph theory".NEUROSCIENCE LETTERS 482..2(2010):95-100