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Attentional Modulation of Alpha/Beta and Gamma Oscillations Reflect Functionally Distinct Processes

机译:阿尔法/贝塔和伽玛振荡的注意调制反映功能不同的过程

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摘要

The brain adapts to dynamic environments by adjusting the attentional gain or precision afforded to salient and predictable sensory input. Previous research suggests that this involves the regulation of cortical excitability (reflected in prestimulus alpha oscillations) before stimulus onset that modulates subsequent stimulus processing (reflected in stimulus-bound gamma oscillations). We present two spatial attention experiments in humans, where we first replicate the classic finding of prestimulus attentional alpha modulation and poststimulus gamma modulation. In the second experiment, the task-relevant target was a stimulus change that occurred after stimulus onset. This enabled us to show that attentional alpha modulation reflects the predictability (precision) of an upcoming sensory target, rather than an attenuation of alpha activity induced by neuronal excitation related to stimulus onset. In particular, we show that the strength of attentional alpha modulations increases with the predictability of the anticipated sensory target, regardless of current afferent drive. By contrast, we show that the poststimulus attentional gamma enhancement is stimulus-bound and decreases when the subsequent target becomes more predictable. Hence, this pattern suggests that the strength of gamma oscillations is not merely a function of cortical excitability, but also depends on the relative mismatch of predictions and sensory evidence. Together, these findings support recent theoretical proposals for distinct roles of alpha/beta and gamma oscillations in hierarchical perceptual inference and predictive coding.
机译:大脑通过调整为显着和可预测的感觉输入提供的注意力增益或精度来适应动态环境。先前的研究表明,这涉及在刺激发作之前调节皮层兴奋性(反映在前刺激α振荡中),从而调节随后的刺激过程(反映在刺激结合的伽马振荡中)。我们在人类中进行了两个空间注意力实验,我们首先复制了刺激前注意力α调制和刺激后伽马调制的经典发现。在第二个实验中,与任务相关的目标是刺激发生后发生的刺激变化。这使我们能够显示出注意的α调制反映了即将到来的感觉目标的可预测性(精度),而不是由与刺激发作有关的神经元兴奋诱导的α活性减弱。特别是,我们表明,无论当前传入的驱动如何,注意力α调制的强度都随着预期的感官目标的可预测性而增加。相比之下,我们表明刺激后注意伽马增强是受刺激的绑定,并在后续目标变得更可预测时降低。因此,这种模式表明伽马振荡的强度不仅是皮层兴奋性的函数,而且还取决于预测和感觉证据的相对失配。总之,这些发现支持了有关α/β和γ振荡在分层感知推理和预测编码中的独特作用的最新理论建议。

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