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追踪皮质同步:人类颞叶皮质的听觉过程。

Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex.

机构信息

Neurolex Group, Department of Psychology, University of Cambridge Cambridge, UK ; MRC Cognition and Brain Sciences Unit Cambridge, UK.

MRC Cognition and Brain Sciences Unit Cambridge, UK.

出版信息

Front Comput Neurosci. 2015 Feb 10;9:5. doi: 10.3389/fncom.2015.00005. eCollection 2015.

DOI:10.3389/fncom.2015.00005
PMID:25713530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4322714/
Abstract

A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole.

摘要

认知神经科学的主要目标之一是确定感官环境的特征如何在神经活动中编码。当前的听觉响度感知模型可用于对个体听语音时皮质的神经活动做出详细预测。我们使用了两种这样的模型(响度-音和响度-分),它们在心理生理学的逼真度上有所不同,用于预测 480 个孤立单词产生的即时响度轮廓。这两组 480 个轮廓被用于搜索大脑电和磁图(EEG 和 MEG)活动的全脑记录中的响度处理的电生理学证据,这些记录是在受试者听单词时进行的。该技术确定了一个由更逼真的响度-音模型预测的双侧响度处理序列,该序列始于约 80ms 的听觉皮层,随后在 230 到 330ms 的延迟时间内再次出现,沿上颞回(STS)逐渐向下追踪。然后,该技术被扩展用于搜索对语音浊音部分的基频(F0)敏感的区域。它在约 90ms 的延迟时间内在听觉皮层中识别出一个双侧 F0 处理,其后没有 STS 中的活动。结果表明,在语音流进入 STS 并向颞极方向前进超过听觉皮层时,响度信息正被用于指导其分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/538fddc6403e/fncom-09-00005-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/8ba83322edf8/fncom-09-00005-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/2d465aa87c65/fncom-09-00005-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/8a1c7b6ee342/fncom-09-00005-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/18a478babd67/fncom-09-00005-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/66c886a98d3f/fncom-09-00005-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/538fddc6403e/fncom-09-00005-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/8ba83322edf8/fncom-09-00005-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/2d465aa87c65/fncom-09-00005-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/8a1c7b6ee342/fncom-09-00005-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/18a478babd67/fncom-09-00005-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/66c886a98d3f/fncom-09-00005-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0066/4322714/538fddc6403e/fncom-09-00005-g0006.jpg

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