School of Engineering, Trinity Centre for Bioengineering, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
School of Engineering, Trinity Centre for Bioengineering, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland; Department of Biomedical Engineering, Department of Neuroscience, Del Monte Institute for Neuroscience, University of Rochester, Rochester, NY, 14627, United States.
Neuroimage. 2018 Feb 1;166:247-258. doi: 10.1016/j.neuroimage.2017.10.066. Epub 2017 Nov 2.
Speech perception may be underpinned by a hierarchical cortical system, which attempts to match "external" incoming sensory inputs with "internal" top-down predictions. Prior knowledge modulates internal predictions of an upcoming stimulus and exerts its effects in temporal and inferior frontal cortex. Here, we used source-space magnetoencephalography (MEG) to study the spatiotemporal dynamics underpinning the integration of prior knowledge in the speech processing network. Prior knowledge was manipulated to i) increase the perceived intelligibility of speech sentences, and ii) dissociate the perceptual effects of changes in speech intelligibility from acoustical differences in speech stimuli. Cortical entrainment to the speech temporal envelope, which accounts for neural activity specifically related to sensory information, was affected by prior knowledge: This effect emerged early (∼50 ms) in left inferior frontal gyrus (IFG) and then (∼100 ms) in Heschl's gyrus (HG), and was sustained until latencies of ∼250 ms. Directed transfer function (DTF) measures were used for estimating direct Granger causal relations between locations of interest. In line with the cortical entrainment result, this analysis indicated that prior knowledge enhanced top-down connections from left IFG to all the left temporal areas of interest - namely HG, superior temporal sulcus (STS), and middle temporal gyrus (MTG). In addition, intelligible speech increased top-down information flow between left STS and left HG, and increased bottom-up flow in higher-order temporal cortex, specifically between STS and MTG. These results are compatible with theories that explain this mechanism as a result of both ascending and descending cortical interactions, such as predictive coding. Altogether, this study provides a detailed view of how, where and when prior knowledge influences continuous speech perception.
语音感知可能由一个分层的皮质系统支撑,该系统试图将“外部”传入的感觉输入与“内部”自上而下的预测相匹配。先前的知识调节了对即将到来的刺激的内部预测,并在颞叶和额下回皮层发挥作用。在这里,我们使用源空间脑磁图(MEG)来研究在语音处理网络中整合先前知识的时空动力学。通过以下两种方式来操纵先前的知识:i)增加语音句子的可理解度,ii)将语音可理解度变化的感知效果与语音刺激的声学差异分开。皮质对语音时间包络的同步,这解释了专门与感觉信息相关的神经活动,受到先前知识的影响:这种影响在左额下回(IFG)的早期(约 50ms)出现,然后在(约 100ms)在 Heschl 回(HG)出现,并持续到约 250ms 的潜伏期。定向传递函数(DTF)测量用于估计感兴趣区域之间的直接格兰杰因果关系。与皮质同步的结果一致,该分析表明,先前的知识增强了从左 IFG 到所有感兴趣的左颞区(即 HG、颞上沟(STS)和颞中回(MTG))的自上而下的连接。此外,可理解的语音增加了左 STS 和左 HG 之间自上而下的信息流,并增加了高阶颞叶皮层中的自下而上的信息流,特别是在 STS 和 MTG 之间。这些结果与解释这种机制的理论是一致的,这些理论认为这种机制是由于皮质的上行和下行相互作用,例如预测编码。总之,这项研究提供了一个详细的视图,说明先前的知识如何、在哪里以及何时影响连续的语音感知。