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节律性时间预期通过增加神经增益来增强神经活动。

Rhythmic Temporal Expectation Boosts Neural Activity by Increasing Neural Gain.

机构信息

Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of the People's Republic of China,

Max Planck Institute for Empirical Aesthetics, 60322 Frankfurt am Main, Germany.

出版信息

J Neurosci. 2019 Dec 4;39(49):9806-9817. doi: 10.1523/JNEUROSCI.0925-19.2019. Epub 2019 Oct 29.

DOI:10.1523/JNEUROSCI.0925-19.2019
PMID:31662425
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6891052/
Abstract

Temporal orienting improves sensory processing, akin to other top-down biases. However, it is unknown whether these improvements reflect increased neural gain to any stimuli presented at expected time points, or specific tuning to task-relevant stimulus aspects. Furthermore, while other top-down biases are selective, the extent of trade-offs across time is less well characterized. Here, we tested whether gain and/or tuning of auditory frequency processing in humans is modulated by rhythmic temporal expectations, and whether these modulations are specific to time points relevant for task performance. Healthy participants ( = 23) of either sex performed an auditory discrimination task while their brain activity was measured using magnetoencephalography/electroencephalography (M/EEG). Acoustic stimulation consisted of sequences of brief distractors interspersed with targets, presented in a rhythmic or jittered way. Target rhythmicity not only improved behavioral discrimination accuracy and M/EEG-based decoding of targets, but also of irrelevant distractors preceding these targets. To explain this finding in terms of increased sensitivity and/or sharpened tuning to auditory frequency, we estimated tuning curves based on M/EEG decoding results, with separate parameters describing gain and sharpness. The effect of rhythmic expectation on distractor decoding was linked to gain increase only, suggesting increased neural sensitivity to any stimuli presented at relevant time points. Being able to predict when an event may happen can improve perception and action related to this event, likely due to the alignment of neural activity to the temporal structure of stimulus streams. However, it is unclear whether rhythmic increases in neural sensitivity are specific to task-relevant targets, and whether they competitively impair stimulus processing at unexpected time points. By combining magnetoencephalography and encephalographic recordings, neural decoding of auditory stimulus features, and modeling, we found that rhythmic expectation improved neural decoding of both relevant targets and irrelevant distractors presented and expected time points, but did not competitively impair stimulus processing at unexpected time points. Using a quantitative model, these results were linked to nonspecific neural gain increases due to rhythmic expectation.

摘要

时间定向改善了感觉处理,类似于其他自上而下的偏向。然而,目前尚不清楚这些改善是否反映了对预期时间点呈现的任何刺激的神经增益增加,或者是对任务相关刺激方面的特定调整。此外,尽管其他自上而下的偏向是选择性的,但跨时间的权衡程度还不太清楚。在这里,我们测试了人类听觉频率处理的增益和/或调谐是否受到节奏时间预期的调节,以及这些调节是否特定于与任务表现相关的时间点。健康的参与者(n=23)无论性别如何,都在进行听觉辨别任务的同时,使用脑磁图/脑电图(M/EEG)测量他们的大脑活动。声学刺激由短暂的分心刺激序列组成,这些刺激序列与目标刺激交错出现,以有节奏或无节奏的方式呈现。目标节奏不仅提高了行为辨别准确性和基于 M/EEG 的目标解码,而且还提高了在这些目标之前出现的无关分心刺激的解码。为了用增加对听觉频率的敏感性和/或锐度来解释这一发现,我们根据 M/EEG 解码结果估计了调谐曲线,使用单独的参数来描述增益和锐度。对分心物解码的节奏期望的影响仅与增益增加有关,这表明对任何在相关时间点呈现的刺激的神经敏感性增加。能够预测事件何时可能发生可以改善与该事件相关的感知和行动,这可能是由于神经活动与刺激流的时间结构对齐。然而,目前尚不清楚节奏性增加的神经敏感性是否特定于与任务相关的目标,以及它们是否在意外时间点竞争地损害刺激处理。通过结合脑磁图和脑电图记录、听觉刺激特征的神经解码和建模,我们发现节奏性期望提高了相关目标和预期时间点呈现的无关分心物的神经解码,但在意外时间点没有竞争地损害刺激处理。使用定量模型,这些结果与由于节奏性期望而导致的非特异性神经增益增加有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/9e070eb0e28f/zns9991921210004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/3fd45ecdf8ed/zns9991921210001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/f741a1892ae6/zns9991921210002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/dde088736c4b/zns9991921210003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/9e070eb0e28f/zns9991921210004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/3fd45ecdf8ed/zns9991921210001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/f741a1892ae6/zns9991921210002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/dde088736c4b/zns9991921210003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d261/6891052/9e070eb0e28f/zns9991921210004.jpg

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