Contrasting time and frequency domains: ERN and induced theta oscillations differentially predict post-error behavior
Contrasting time and frequency domains: ERN and induced theta oscillations differentially predict post-error behavior
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DOI：
10.3758/s13415-020-00792-7
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发表时间：
2020-04-17
影响因子：
2.9
通讯作者：
McDonald, Craig G.
中科院分区：
文献类型：
--
作者：
Beatty, Paul J.;Buzzell, George A.;McDonald, Craig G.
本研究探讨了神经动力学的错误处理在时域和频域，以及相关的行为现象，在单次试验水平。我们使用了一种技术，使我们能够分别研究EEG信号的诱发和诱导方面（Cohen & Donner，2013，Journal of Neurophysiology，110[12]，2752-2763）。我们发现，在单次试验水平，而（诱发）错误相关的负（ERN）预测只有错误后放缓（PES）-只有当错误发生在不一致的审判引起的额叶中线θ功率作为一个强大的预测PES和错误后的准确性（PEA），无论刺激一致性。两个电生理指标的中介模型表明，虽然theta和PEA之间的关系是由PES介导的，但ERN和PEA之间没有关系。我们的数据表明，虽然ERN和额叶中线theta指数功能相关的潜在认知过程，他们不只是在不同的领域表现出相同的过程。此外，我们的研究结果是一致的自适应理论的错误后放缓，PES是正相关的错误后的准确性在单次试验水平。更一般地说，我们的研究提供了额外的支持，包括一个时间-频率的方法，以更好地了解内侧额叶皮层的作用，在行动监测。
The present study investigated the neural dynamics of error processing in both the time and frequency domains, as well as associated behavioral phenomena, at the single-trial level. We used a technique that enabled us to separately investigate the evoked and induced aspects of the EEG signal (Cohen & Donner, 2013, Journal of Neurophysiology, 110[12], 2752-2763). We found that at the single-trial level, while the (evoked) error-related negativity (ERN) predicted only post-error slowing (PES)-and only when errors occurred on incongruent trials-induced frontal midline theta power served as a robust predictor of both PES and post-error accuracy (PEA) regardless of stimulus congruency. Mediation models of both electrophysiological indices demonstrated that although the relationship between theta and PEA was mediated by PES, there was not a relationship between the ERN and PEA. Our data suggest that although the ERN and frontal midline theta index functionally related underlying cognitive processes, they are not simply the same process manifested in different domains. In addition, our findings are consistent with the adaptive theory of post-error slowing, as PES was positively associated with post-error accuracy at the single-trial level. More generally, our study provides additional support for the inclusion of a time-frequency approach to better understand the role of medial frontal cortex in action monitoring.