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Neural interactions in occipitotemporal cortex during basic human movement perception by dynamic causal modeling

机译:动态因果造型基础人体运动术期间枕型颞型皮层的神经相互作用

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Action recognition is an essential component of our daily life. The occipitotemporal cortex (OTC) is an important area in human movement perception. The previous studies have revealed that three vital regions including the extrastriate body area (EBA), human middle temporal complex (hMT+), and posterior superior temporal sulcus (pSTS) in OTC play an important role in motion perception. The aim of the current study is to explore the neural interactions between these three regions during basic human movement perception. Functional magnetic resonance imaging data were acquired when participants viewed dynamic videos depicting basic human movements. By the dynamic causal modeling analysis, a model space consisting of 576 models was constructed and evaluated to select the optimal model given the data. The information of the visual movement was found to enter the system through hMT+. We speculated that hMT+ would be the region to show sensitivity to the presence of motion and it subsequently influence and be influenced by the other two regions. Our results also revealed the manner in which the three regions interact during action recognition. Furthermore, We found significantly enhanced modulated connectivity from hMT+ to both EBA and pSTS, as well as from EBA to both hMT+ and pSTS. We inferred that there may be multiple routes for human action perception. One responsible route for processing motion signals is through hMT+ to pSTS, and the other projects information to pSTS may be via the form-processing route. In addition, pSTS may integrate and mediate visual signals and possibly convey them to distributed areas to maintain high-order cognitive tasks.
机译:行动识别是我们日常生活的重要组成部分。枕颞皮质皮质(OTC)是人类运动感知的重要领域。之前的研究表明,在OTC中,三个重要地区包括Qualtration身体区域(EBA),人类中间颞型复合物(HMT +)和后颞沟(PST)在运动感知中起重要作用。目前研究的目的是探讨这三个地区在基本人体运动感知期间的神经相互作用。当参与者观看描绘基本人类运动的动态视频时,获得了功能磁共振成像数据。通过动态因果建模分析,构建和评估由576型型号组成的模型空间,以选择鉴于数据的最佳模型。发现视觉运动的信息通过HMT +进入系统。我们推测HMT +将是显示对运动的敏感性的区域,随后对其他两个区域的影响和影响。我们的结果还透露了三个区域在行动识别期间互动的方式。此外,我们发现从HMT +到EBA和PST的显着增强的调制连接,以及从EBA到HMT +和PST。我们推断出人类行动感知可能有多条路线。用于处理运动信号的一个负责任路线是通过HMT +到PST的路由,并且其他项目信息到PST的信息可以通过形式处理路线。此外,PSTS可以集成和调解视觉信号,并可能将它们传送到分布式区域以维持高阶认知任务。

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