Neural mass model-based study of frontal-temporal theta oscillations in human subjects during the performance of a cognitive control task.
Neural mass model-based study of frontal-temporal theta oscillations in human subjects during the performance of a cognitive control task.
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基于神经质量模型的认知控制任务执行过程中受试者额叶-颞叶theta振荡的研究。
DOI：
10.1109/embc48229.2022.9871719
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发表时间：
2022-07
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认知控制，即根据环境变化迅速转移注意力和行为策略的能力，在精神疾病中经常受到损害。认知干扰任务是一种经过充分验证的进入认知控制回路的行为范例，在该任务中，受试者必须抑制自然反应，以遵循不那么直观的规则。这些任务较慢的响应时间表明难以施加控制来克服响应冲突。冲突唤起了强大的电生理特征，如前额皮质（PFC）的θ（4-8赫兹）振荡。然而，冲突诱发的前皮层θ波振荡的潜在神经机制尚不清楚。这项工作的目的是使用神经质量模型（NMM）来寻找在人类受试者的冲突处理过程中产生θ振荡的可行皮层网络。我们使用有创监测的人类难治性癫痫受试者在执行多源干扰任务（MSIT）时从背外侧PFC （dlPFC）和外侧颞叶（LTL）记录的颅内脑电图（iEEG）。我们使用动态因果建模（DCM）框架使用Jansen-Rit NMM模拟dlPFC-LTL theta。与dlPFC和LTL之间的双向连接相比，我们在冲突处理的最初500 ms中发现了LTL输入到dlPFC的重要证据。我们的结论是，神经质量建模框架可以用来阐明潜在的人类受试者冲突解决的神经振荡的候选机制。
Cognitive control, the ability to rapidly shift one's attention and behavioral strategy in response to environmental changes, is often compromised across psychiatric disorders. One of the well-validated behavioral paradigms for tapping into the cognitive control circuits is a cognitive interference task, where subjects must suppress a natural response to follow a less intuitive rule. Slower response times on these tasks indicate difficulty exerting control to overcome response conflict. Conflict evokes robust electrophysiological signatures, such as theta (4-8 Hz) oscillations in the prefrontal cortex (PFC). However, the underlying neural mechanisms of conflict-evoked theta oscillations in the PFC are not clear. The objective of this work is to use a neural mass model (NMM) to find feasible cortical networks generating theta oscillations during conflict processing in human subjects. We used intracranial EEG (iEEG) recorded from dorsolateral PFC (dlPFC) and lateral temporal lobe (LTL) of human subjects with intractable epilepsy undergoing invasive monitoring, while they performed a multi-source interference task (MSIT). We used a dynamic causal modeling (DCM) framework to simulate dlPFC-LTL theta using a Jansen-Rit NMM. We found significant evidence for an LTL input into the dlPFC during the initial 500 ms of conflict processing compared to a bidirectional connection between the dlPFC and LTL. We conclude that a neural mass modeling framework can be used to elucidate candidate mechanisms of neural oscillations underlying conflict resolution in human subjects.