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颞极的神经振荡对于时间上一致的视听语音检测任务。

Neural oscillations in the temporal pole for a temporally congruent audio-visual speech detection task.

机构信息

Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.

Department of Developmental Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

出版信息

Sci Rep. 2016 Nov 29;6:37973. doi: 10.1038/srep37973.

DOI:10.1038/srep37973
PMID:27897244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5126633/
Abstract

Though recent studies have elucidated the earliest mechanisms of processing in multisensory integration, our understanding of how multisensory integration of more sustained and complicated stimuli is implemented in higher-level association cortices is lacking. In this study, we used magnetoencephalography (MEG) to determine how neural oscillations alter local and global connectivity during multisensory integration processing. We acquired MEG data from 15 healthy volunteers performing an audio-visual speech matching task. We selected regions of interest (ROIs) using whole brain time-frequency analyses (power spectrum density and wavelet transform), then applied phase amplitude coupling (PAC) and imaginary coherence measurements to them. We identified prominent delta band power in the temporal pole (TP), and a remarkable PAC between delta band phase and beta band amplitude. Furthermore, imaginary coherence analysis demonstrated that the temporal pole and well-known multisensory areas (e.g., posterior parietal cortex and post-central areas) are coordinated through delta-phase coherence. Thus, our results suggest that modulation of connectivity within the local network, and of that between the local and global network, is important for audio-visual speech integration. In short, these neural oscillatory mechanisms within and between higher-level association cortices provide new insights into the brain mechanism underlying audio-visual integration.

摘要

尽管最近的研究已经阐明了多感觉整合的最早处理机制,但我们对于多感觉整合更持续和复杂刺激是如何在高级联合皮层中实现的理解还很缺乏。在这项研究中,我们使用脑磁图(MEG)来确定神经振荡如何在多感觉整合处理过程中改变局部和全局连通性。我们从 15 名健康志愿者那里采集了 MEG 数据,他们正在执行视听语音匹配任务。我们使用全脑时频分析(功率谱密度和小波变换)选择感兴趣区域(ROI),然后对它们应用相位振幅耦合(PAC)和虚相干测量。我们在颞极(TP)中识别出明显的 delta 波段功率,以及 delta 波段相位和 beta 波段振幅之间显著的 PAC。此外,虚相干分析表明,颞极和著名的多感觉区域(例如,顶后皮质和中央后区)通过 delta 相位相干来协调。因此,我们的结果表明,局部网络内和局部与全局网络之间的连通性的调制对于视听语音整合很重要。简而言之,这些高级联合皮层内和皮层间的神经振荡机制为视听整合的大脑机制提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/10f1dcadcf88/srep37973-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/2ae9afaff1e2/srep37973-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/ba4b6a56a76e/srep37973-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/b7e1f35589bc/srep37973-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/4206e6cf7cdc/srep37973-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/921bddea6a9c/srep37973-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/10f1dcadcf88/srep37973-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/2ae9afaff1e2/srep37973-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/ba4b6a56a76e/srep37973-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/b7e1f35589bc/srep37973-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/4206e6cf7cdc/srep37973-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/921bddea6a9c/srep37973-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a5d/5126633/10f1dcadcf88/srep37973-f6.jpg

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