UCL Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, United Kingdom.
J Neurosci. 2011 Mar 2;31(9):3143-7. doi: 10.1523/JNEUROSCI.4863-10.2011.
Transcranial magnetic stimulation (TMS) is a popular method for studying causal relationships between neural activity and behavior. However, its mode of action remains controversial, and so far there is no framework to explain its wide range of facilitatory and inhibitory behavioral effects. While some theoretical accounts suggest that TMS suppresses neuronal processing, other competing accounts propose that the effects of TMS result from the addition of noise to neuronal processing. Here we exploited the stochastic resonance phenomenon to distinguish these theoretical accounts and determine how TMS affects neuronal processing. Specifically, we showed that online TMS can induce stochastic resonance in the human brain. At low intensity, TMS facilitated the detection of weak motion signals, but with higher TMS intensities and stronger motion signals, we found only impairment in detection. These findings suggest that TMS acts by adding noise to neuronal processing, at least in an online TMS protocol. Importantly, such stochastic resonance effects may also explain why TMS parameters that under normal circumstances impair behavior can induce behavioral facilitations when the stimulated area is in an adapted or suppressed state.
经颅磁刺激(TMS)是一种研究神经活动与行为之间因果关系的常用方法。然而,其作用模式仍存在争议,到目前为止,还没有一个框架可以解释其广泛的促进和抑制行为效应。虽然一些理论解释认为 TMS 抑制了神经元的处理过程,但其他竞争理论则认为 TMS 的效果来自于对神经元处理过程的添加噪声。在这里,我们利用随机共振现象来区分这些理论解释,并确定 TMS 如何影响神经元的处理过程。具体来说,我们发现在线 TMS 可以在人类大脑中诱导随机共振。在低强度下,TMS 促进了对弱运动信号的检测,但随着 TMS 强度的增加和运动信号的增强,我们只发现检测能力的下降。这些发现表明,TMS 通过向神经元处理过程添加噪声来起作用,至少在在线 TMS 方案中是这样。重要的是,这种随机共振效应也可能解释为什么在刺激区域处于适应或抑制状态下,正常情况下会损害行为的 TMS 参数会诱导行为促进。