| Literature DB >> 23737848 |
Abstract
Acupuncture is currently gaining popularity as an important modality of alternative and complementary medicine in the western world. Modern neuroimaging techniques such as functional magnetic resonance imaging, positron emission tomography, and magnetoencephalography open a window into the neurobiological foundations of acupuncture. In this review, we have summarized evidence derived from neuroimaging studies and tried to elucidate both neurophysiological correlates and key experimental factors involving acupuncture. Converging evidence focusing on acute effects of acupuncture has revealed significant modulatory activities at widespread cerebrocerebellar brain regions. Given the delayed effect of acupuncture, block-designed analysis may produce bias, and acupuncture shared a common feature that identified voxels that coded the temporal dimension for which multiple levels of their dynamic activities in concert cause the processing of acupuncture. Expectation in acupuncture treatment has a physiological effect on the brain network, which may be heterogeneous from acupuncture mechanism. "Deqi" response, bearing clinical relevance and association with distinct nerve fibers, has the specific neurophysiology foundation reflected by neural responses to acupuncture stimuli. The type of sham treatment chosen is dependent on the research question asked and the type of acupuncture treatment to be tested. Due to the complexities of the therapeutic mechanisms of acupuncture, using multiple controls is an optimal choice.Entities:
Year: 2013 PMID: 23737848 PMCID: PMC3666300 DOI: 10.1155/2013/812568
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Figure 1Representative brain areas induced by acupuncture at ST36 for different epochs of multiblock design paradigm (P < 0.005, uncorrected). The kinetics of acupuncture was complex and longer acting as a function of time, rather than conforming to simple “on-off” variations predicated by the block-based GLM analysis. Abbreviations: Amy: amygdala; Hipp: hippocampus; PH: parahippocampus; pACC: pregenual anterior cingulate cortex; dACC: dorsal cingulate cortex; AI: anterior insula; PI: posterior insula; SII: secondary somatosensory cortex; Hyp: hypothalamus; PAG: periaqueductal gray; SN: substantia nigra (adapted from [31]).
Figure 2The baseline period was indicated by the shaded gray box, and the EWMA statistic was shown by the thick black line (corrected over time and FDR corrected at α = 0.05 over space), with gray shading denoting the standard error across participants. The estimated CP for onset activity was presented in green line. The control limits were shown by dashed lines. Abbreviations: SII: secondary somatosensory cortex (adapted from [33]).