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θ 频段和 γ 频段编码广泛时间尺度上的声动力学信息。

Theta and Gamma Bands Encode Acoustic Dynamics over Wide-Ranging Timescales.

机构信息

Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, 60322 Frankfurt, Germany.

Department of Psychology, New York University, New York, NY 10003, USA.

出版信息

Cereb Cortex. 2020 Apr 14;30(4):2600-2614. doi: 10.1093/cercor/bhz263.

DOI:10.1093/cercor/bhz263
PMID:31761952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7174990/
Abstract

Natural sounds contain acoustic dynamics ranging from tens to hundreds of milliseconds. How does the human auditory system encode acoustic information over wide-ranging timescales to achieve sound recognition? Previous work (Teng et al. 2017) demonstrated a temporal coding preference for the theta and gamma ranges, but it remains unclear how acoustic dynamics between these two ranges are coded. Here, we generated artificial sounds with temporal structures over timescales from ~200 to ~30 ms and investigated temporal coding on different timescales. Participants discriminated sounds with temporal structures at different timescales while undergoing magnetoencephalography recording. Although considerable intertrial phase coherence can be induced by acoustic dynamics of all the timescales, classification analyses reveal that the acoustic information of all timescales is preferentially differentiated through the theta and gamma bands, but not through the alpha and beta bands; stimulus reconstruction shows that the acoustic dynamics in the theta and gamma ranges are preferentially coded. We demonstrate that the theta and gamma bands show the generality of temporal coding with comparable capacity. Our findings provide a novel perspective-acoustic information of all timescales is discretised into two discrete temporal chunks for further perceptual analysis.

摘要

自然声音包含从几十到几百毫秒的声动力学。人类听觉系统如何在广泛的时间尺度上对声信息进行编码,以实现声音识别?先前的工作(Teng 等人,2017)证明了theta 和 gamma 范围的时间编码偏好,但仍不清楚这两个范围之间的声动力学是如何编码的。在这里,我们生成了具有从200 到30ms 时间尺度的时间结构的人工声音,并在不同的时间尺度上研究了时间编码。参与者在进行脑磁图记录的同时,辨别具有不同时间尺度的时间结构的声音。尽管所有时间尺度的声动力学都可以引起相当大的试验间相位相干性,但分类分析表明,所有时间尺度的声信息都是通过 theta 和 gamma 频段优先区分的,而不是通过 alpha 和 beta 频段;刺激重建表明,theta 和 gamma 范围内的声动力学是优先编码的。我们证明,theta 和 gamma 频段表现出具有可比性的通用时间编码能力。我们的发现提供了一个新的视角——所有时间尺度的声信息被离散成两个离散的时间块,以便进一步进行感知分析。

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本文引用的文献

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Concurrent temporal channels for auditory processing: Oscillatory neural entrainment reveals segregation of function at different scales.用于听觉处理的并行时间通道:振荡神经同步揭示了不同尺度上的功能分离。
PLoS Biol. 2017 Nov 2;15(11):e2000812. doi: 10.1371/journal.pbio.2000812. eCollection 2017 Nov.
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Theta band oscillations reflect more than entrainment: behavioral and neural evidence demonstrates an active chunking process.θ 波段振荡反映的不仅仅是同步:行为和神经证据表明存在主动的分块过程。
Eur J Neurosci. 2018 Oct;48(8):2770-2782. doi: 10.1111/ejn.13742. Epub 2017 Nov 6.
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The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli.多元时间响应函数(mTRF)工具箱:一个用于将神经信号与连续刺激相关联的MATLAB工具箱。
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