首页> 外文期刊>Scientific reports. >Neural oscillations in the temporal pole for a temporally congruent audio-visual speech detection task
【24h】

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

机译:时间杆中的神经振荡,用于时间上一致的视听语音检测任务

获取原文
获取外文期刊封面目录资料

摘要

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.
机译:尽管最近的研究阐明了多级别的整合中最早的加工机制,但我们对缺乏更高级别的联合皮质在更高级别的关联皮质中实施多思维和复杂刺激的多思索融合多级别的融合的理解。在这项研究中,我们使用了磁性脑图(MEG)来确定神经振荡如何改变多福管集成处理期间的本地和全局连接。我们收购了来自15名健康志愿者的MEG数据,执行视听语音匹配任务。我们使用整个脑时间频率分析(功率谱密度和小波变换)选择感兴趣的区域(ROI),然后施加相位振幅耦合(PAC)和假想的相干测量。我们在时间杆(TP)中识别出突出的DELTA带电力,并且在DELTA带相位和β波段幅度之间的显着PAC。此外,假想的相干性分析证明了时间杆和众所周知的多思症区域(例如,后旁冠状动脉和后中心区域)通过δ相一致性协调。因此,我们的结果表明,在本地网络内的连接,以及本地和全局网络之间的连接对视听语音集成很重要。简而言之,在高级关联皮质内部和之间的这些神经振荡机制提供了新的洞察视听集成的脑机制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号