Literature DB >> 12915252

Relations between brain network activation and analgesic effect induced by low vs. high frequency electrical acupoint stimulation in different subjects: a functional magnetic resonance imaging study.

Wei-Ting Zhang1, Zhen Jin, Guo-Hong Cui, Kui-Ling Zhang, Lei Zhang, Ya-Wei Zeng, Fei Luo, Andrew C N Chen, Ji-Sheng Han.   

Abstract

Two- or 100-Hz electrical acupoint stimulation (EAS) can induce analgesia via distinct central mechanisms. It has long been known that the extent of EAS analgesia showed tremendous difference among subjects. Functional MRI (fMRI) studies were performed to allocate the possible mechanisms underlying the frequency specificity as well as individual variability of EAS analgesia. In either frequencies, the averaged fMRI activation levels of bilateral secondary somatosensory area and insula, contralateral anterior cingulate cortex and thalamus were positively correlated with the EAS-induced analgesic effect across the subjects. In 2-Hz EAS group, positive correlations were observed in contralateral primary motor area, supplementary motor area, and ipsilateral superior temporal gyrus, while negative correlations were found in bilateral hippocampus. In 100-Hz EAS group, positive correlations were observed in contralateral inferior parietal lobule, ipsilateral anterior cingulate cortex, nucleus accumbens, and pons, while negative correlation was detected in contralateral amygdala. These results suggest that functional activities of certain brain areas might be correlated with the effect of EAS-induced analgesia, in a frequency-dependent dynamic. EAS-induced analgesia with low and high frequencies seems to be mediated by different, though overlapped, brain networks. The differential activations/de-activations in brain networks across subjects may provide a neurobiological explanation for the mechanisms of the induction and the individual variability of analgesic effect induced by EAS, or that of manual acupuncture as well.

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Year:  2003        PMID: 12915252     DOI: 10.1016/s0006-8993(03)02983-4

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  61 in total

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2.  Beneficial effects of electrostimulation contingencies on sustained attention and electrocortical activity.

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3.  Photoacoustic imaging of cerebral hypoperfusion during acupuncture.

Authors:  B Z Chen; J G Yang; D Wu; D W Zeng; Y Yi; N Yang; H B Jiang
Journal:  Biomed Opt Express       Date:  2015-08-05       Impact factor: 3.732

4.  Acupuncture and Related Techniques for Pain Relief and Treatment of Heroin Addiction: Mechanisms and Clinical Application.

Authors:  Song-Ping Han; Ji-Sheng Han
Journal:  Med Acupunct       Date:  2020-12-16

5.  Effects of electroacupuncture versus manual acupuncture on the human brain as measured by fMRI.

Authors:  Vitaly Napadow; Nikos Makris; Jing Liu; Norman W Kettner; Kenneth K Kwong; Kathleen K S Hui
Journal:  Hum Brain Mapp       Date:  2005-03       Impact factor: 5.038

6.  Test-retest study of fMRI signal change evoked by electroacupuncture stimulation.

Authors:  Jian Kong; Randy L Gollub; J Megan Webb; Jiang-Ti Kong; Mark G Vangel; Kenneth Kwong
Journal:  Neuroimage       Date:  2006-12-06       Impact factor: 6.556

Review 7.  Do the neural correlates of acupuncture and placebo effects differ?

Authors:  Rupali P Dhond; Norman Kettner; Vitaly Napadow
Journal:  Pain       Date:  2007-01-30       Impact factor: 6.961

8.  Functional neuroanatomical investigation of vision-related acupuncture point specificity--a multisession fMRI study.

Authors:  Jian Kong; Ted J Kaptchuk; Julia Megan Webb; Jiang-Ti Kong; Yuka Sasaki; Ginger R Polich; Mark G Vangel; Kenneth Kwong; Bruce Rosen; Randy L Gollub
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

9.  Graph Frequency Analysis of Brain Signals.

Authors:  Weiyu Huang; Leah Goldsberry; Nicholas F Wymbs; Scott T Grafton; Danielle S Bassett; Alejandro Ribeiro
Journal:  IEEE J Sel Top Signal Process       Date:  2016-08-16       Impact factor: 6.856

10.  A combined [11C]diprenorphine PET study and fMRI study of acupuncture analgesia.

Authors:  Darin D Dougherty; Jian Kong; Megan Webb; Ali A Bonab; Alan J Fischman; Randy L Gollub
Journal:  Behav Brain Res       Date:  2008-05-02       Impact factor: 3.332

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