The hybrid GLM-ICA investigation on the neural mechanism of acupoint ST36: An fMRI study

  • Peng Liu
  • , Guangyu Zhou
  • , Yi Zhang
  • , Minghao Dong
  • , Wei Qin
  • , Kai Yuan
  • , Jinbo Sun
  • , Jixin Liu
  • , Jimin Liang
  • , Karen M. von Deneen
  • , Yijun Liu
  • , Jie Tian*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Ample clinical reports and neuroimaging studies have demonstrated that the acupuncture has sustained effects after manipulation. However, most previous fMRI studies of acupuncture have paid little attention to this issue, only investigating on the manipulation effects. In the current study, we attempted to explore both acupuncture effects, which have positive influence to therapeutic efficiency, to reveal the neural mechanism of acupuncture. This paper combined the conventional general linear model (GLM) and independent component analysis (ICA) to study the topography and the temporal feature of brain activity to detect the brain responses to stimulation at ST36 (Zusanli) and a sham acupoint. The results showed that the manipulation-related effects and the sustained acupuncture effects separately induced statistically significant increases/decreases in the cortical-subcortical areas, including the anterior cingulate cortex (ACC), ventrolateral prefrontal cortex (VLPFC), supplementary motor area (SMA) primary/secondary somatosensory cortex (SI/SII), occipital cortices and midbrain. Our findings suggested that the analgesia effects of ST36 integrated sophisticated physiological and psychological procedures. In addition, our results have shed light on methodology in acupuncture research.

Original languageEnglish
Pages (from-to)267-271
Number of pages5
JournalNeuroscience Letters
Volume479
Issue number3
DOIs
StatePublished - Aug 2010
Externally publishedYes

Keywords

  • Acupuncture
  • FMRI
  • GLM
  • ICA

Fingerprint

Dive into the research topics of 'The hybrid GLM-ICA investigation on the neural mechanism of acupoint ST36: An fMRI study'. Together they form a unique fingerprint.

Cite this