Dhond Rupali P, Witzel Thomas, Hämäläinen Matti, Kettner Norman, Napadow Vitaly
MGH/MIT/HMS Martinos Center for Biomedical Imaging, Charlestown, Massachusetts 02129, USA.
J Altern Complement Med. 2008 Jul;14(6):679-88. doi: 10.1089/acm.2007.0824.
Acupuncture is an ancient Eastern healing modality with putative therapeutic applications. Unfortunately, little is known about the central mechanisms by which acupuncture may exert its effects. In this study, 16 [corrected] healthy subjects were evaluated with magnetoencephalography (MEG) to map the location and timing of brain activity during low-frequency electroacupuncture (EA) and mechanical, noninsertive, sham acupuncture (SA) given at acupoint PC-6. Both EA and SA evoked brain responses that localized to contralateral primary somatosensory (SI) cortex. However, initial responses for EA peaked slightly earlier than those for SA and were located inferiorly within SI. Average equivalent current dipole strength was stronger (particularly at latencies >60 ms) for SA. These spatiotemporal differences between activations elicited by EA and SA are likely attributable to stimulus modality (electrical versus mechanical) and differences in the underlying somatosensory fibers transmitting these signals. The present data confirm that acupuncture modulates activity within somatosensory cortex, providing support for previous studies that suggest that the therapeutic effects of acupuncture are linked to SI modulation. Thus, MEG provides excellent spatiotemporal characterization of the somatosensory component of acupuncture, and future studies can contrast derived brain response parameters in healthy controls with those found in a diseased state.
针灸是一种具有假定治疗作用的古老东方治疗方法。遗憾的是,关于针灸发挥作用的中枢机制我们知之甚少。在本研究中,对16名[已校正]健康受试者进行了脑磁图(MEG)评估,以绘制在穴位PC - 6进行低频电针(EA)以及机械性、非刺入式假针灸(SA)期间大脑活动的位置和时间。EA和SA均诱发了定位于对侧初级体感(SI)皮层的脑反应。然而,EA的初始反应峰值比SA略早,且位于SI内较低位置。SA的平均等效电流偶极强度更强(特别是在潜伏期>60 ms时)。EA和SA所引发激活之间的这些时空差异可能归因于刺激方式(电刺激与机械刺激)以及传递这些信号的潜在体感纤维的差异。目前的数据证实针灸可调节体感皮层内的活动,为先前表明针灸治疗效果与SI调节相关的研究提供了支持。因此,MEG为针灸的体感成分提供了出色的时空特征描述,未来的研究可以将健康对照中得出的脑反应参数与疾病状态下的参数进行对比。