Ioannides Andreas A, Fenwick Peter B C, Liu Lichan
Laboratory for Human Brain Dynamics, RIKEN Brain Science Institute, Wakoshi, Saitama 351-0198, Japan.
J Neurosci. 2005 Aug 31;25(35):7950-67. doi: 10.1523/JNEUROSCI.1091-05.2005.
With sufficiently fast data sampling, ubiquitous sharp transients appear in magnetoencephalography (MEG) data. Initially, no known collective neuronal activity could explain MEG signal generation well above 100 Hz, so it was assumed that these transients were entirely composed of background electronic noise that could be eliminated by filtering and averaging. Recent studies at the cellular level provided evidence for synchronous synaptic input to dendrites and volleys of near-simultaneous action potentials. MEG studies have also identified high-frequency oscillations well above 200 Hz after averaging large number of somatosensory evoked responses. In this study, we searched for evidence of high-frequency neuronal activity in the raw MEG signal using the highest sampling rate available with our hardware. Two human subjects participated in three experiments using visual cues to define planning, preparation, and execution or inhibition of saccades. Tomographic analysis identified "MEG spikes" that were widely distributed across the cortex, cerebellum, and brainstem during cue presentations and saccades. Here we demonstrate how these MEG spikes can be recorded and localized in real time and show that task demands influence their properties. The MEG spikes were organized into feedforward and corollary discharge sequences that could, when combined with the slower activity-linked processing in discrete brain areas over long periods, lasting hundreds of milliseconds. Preparation for impending saccade began as soon as relevant information became available. Cues providing partial information initiated competing motor programs for as yet undecided future actions that were maintained until cues with new information resolved the uncertainty.
在足够快的数据采样情况下,脑磁图(MEG)数据中会出现普遍存在的尖锐瞬变信号。最初,没有已知的集体神经元活动能够很好地解释100赫兹以上的MEG信号产生,因此人们认为这些瞬变信号完全由背景电子噪声组成,可以通过滤波和平均来消除。最近在细胞水平的研究为树突的同步突触输入和近乎同时发生的动作电位群提供了证据。MEG研究还在对大量体感诱发反应进行平均后,识别出了200赫兹以上的高频振荡。在本研究中,我们使用硬件可用的最高采样率,在原始MEG信号中寻找高频神经元活动的证据。两名人类受试者参与了三个实验,使用视觉线索来定义扫视的计划、准备、执行或抑制。断层扫描分析确定了在呈现线索和扫视过程中广泛分布于皮层、小脑和脑干的“MEG尖峰”。在这里,我们展示了如何实时记录和定位这些MEG尖峰,并表明任务需求会影响它们的特性。MEG尖峰被组织成前馈和推论放电序列,当与离散脑区中长时间存在的较慢的与活动相关的处理相结合时,这些序列可能会持续数百毫秒。一旦相关信息可用,对即将发生的扫视的准备就开始了。提供部分信息的线索会启动针对尚未确定的未来动作的相互竞争的运动程序,这些程序会一直保持,直到带有新信息的线索解决了不确定性。