Establishing a Right Frontal Beta Signature for Stopping Action in Scalp EEG: Implications for Testing Inhibitory Control in Other Task Contexts.
Establishing a Right Frontal Beta Signature for Stopping Action in Scalp EEG: Implications for Testing Inhibitory Control in Other Task Contexts.
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DOI：
10.1162/jocn_a_01183
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发表时间：
2018-01
影响因子：
3.2
通讯作者：
Aron AR
中科院分区：
文献类型：
--
作者：
Wagner J;Wessel JR;Ghahremani A;Aron AR
许多研究都将快速停止行动作为人类自我控制的代表。几种方法已经表明，停止的关键焦点是右下额叶皮层（rIFC）。此外，皮质电图（ECoG）研究表明，在停止时间过去之前，成功与失败的停止试验的rIFC和基底神经节中的β波段功率增加，这可能是抑制控制的前额叶基底神经节网络的基础。在这里，我们测试了头皮EEG中是否可以看到相同的签名-这将为在前额叶抑制控制的招募和时间研究中使用此签名开辟重要途径。我们使用独立成分分析和时间-频率方法来分析来自三个不同队列的健康年轻志愿者（共48名参与者）执行标准停止信号任务的EEG。我们确定了在停止信号之后但在停止时间流逝之前发生的13- 20 Hz频带中的频谱功率增加，EEG中具有右额叶地形图。在三项研究中，有两项研究中，成功停止的右侧额叶β波带增加显著大于失败停止的右侧额叶β波带增加。我们还测试了这样的假设：意外事件会招募相同的额叶系统来停止。事实上，我们表明，停止相关的右侧额叶β签名也是活跃的意外事件后（我们相应地提供数据和脚本的方法）。这些结果验证了EEG中的右额叶β签名作为反应抑制过程的时间精确和功能显著的神经标记。
Many studies have examined the rapid stopping of action as a proxy of human self-control. Several methods have shown that a critical focus for stopping is the right inferior frontal cortex (rIFC). Moreover, electrocorticography (ECoG) studies have shown beta band power increases in the rIFC and in the basal ganglia for successful vs. failed stop trials, before the time of stopping elapses, perhaps underpinning a prefrontal-basal-ganglia network for inhibitory control. Here we tested whether the same signature might be visible in scalp EEG – which would open important avenues for using this signature in studies of the recruitment and timing of prefrontal inhibitory control. We used Independent Component Analysis and time-frequency approaches to analyze EEG from three different cohorts of healthy young volunteers (48 participants total) performing versions of the standard stop signal task. We identified a spectral power increase in the band 13–20Hz that occurs after the stop signal, but before the time of stopping elapses, with a right frontal topography in the EEG. This right frontal beta band increase was significantly larger for successful compared to failed stops in two of the three studies. We also tested the hypothesis that unexpected events recruit the same frontal system for stopping. Indeed, we show that the stopping-related right lateralized frontal beta signature was also active after unexpected events (and we accordingly provide data and scripts for the method). These results validate a right frontal beta signature in the EEG as a temporally precise and functionally significant neural marker of the response inhibition process.
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