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Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task

机译:在模拟的吃到饱任务中揭示时空脑动力学

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摘要

The reach-to-eat task involves a sequence of action components including looking, reaching, grasping, and feeding. While cortical representations of individual action components have been mapped in human functional magnetic resonance imaging (fMRI) studies, little is known about the continuous spatiotemporal dynamics among these representations during the reach-to-eat task. In a periodic event-related fMRI experiment, subjects were scanned while they reached toward a food image, grasped the virtual food, and brought it to their mouth within each 16-s cycle. Fourier-based analysis of fMRI time series revealed periodic signals and noise distributed across the brain. Independent component analysis was used to remove periodic or aperiodic motion artifacts. Time-frequency analysis was used to analyze the temporal characteristics of periodic signals in each voxel. Circular statistics was then used to estimate mean phase angles of periodic signals and select voxels based on the distribution of phase angles. By sorting mean phase angles across regions, we were able to show the real-time spatiotemporal brain dynamics as continuous traveling waves over the cortical surface. The activation sequence consisted of approximately the following stages: (1) stimulus related activations in occipital and temporal cortices; (2) movement planning related activations in dorsal premotor and superior parietal cortices; (3) reaching related activations in primary sensorimotor cortex and supplementary motor area; (4) grasping related activations in postcentral gyrus and sulcus; (5) feeding related activations in orofacial areas. These results suggest that phase-encoded design and analysis can be used to unravel sequential activations among brain regions during a simulated reach-to-eat task.
机译:从吃到饱任务涉及一系列动作成分,包括看,伸,抓和喂养。尽管在人体功能磁共振成像(fMRI)研究中已绘制了单个动作成分的皮层表示,但对于就餐任务期间这些表示中的连续时空动态知之甚少。在与事件相关的周期性fMRI实验中,受试者在到达食物图像时进行了扫描,抓住了虚拟食物,并在每个16 s周期内将其拿到嘴里。基于fMRI时间序列的傅立叶分析显示出周期性信号和噪声分布在整个大脑中。独立成分分析用于去除周期性或非周期性运动伪影。时频分析用于分析每个体素中周期性信号的时间特性。然后,使用循环统计量来估计周期信号的平均相角,并根据相角的分布选择体素。通过对区域之间的平均相位角进行排序,我们能够显示出实时时空大脑动态,作为在皮层表面上连续传播的波。激活序列大致包括以下几个阶段:(1)枕骨和颞皮质的刺激相关激活; (2)与运动计划有关的背前运动和上顶皮质的激活; (3)在初级感觉运动皮层和辅助运动区域达到相关激活; (4)掌握中央后回和沟的相关激活; (5)喂食口部相关的活动。这些结果表明,在模拟的“吃到饱”任务期间,可以使用相位编码的设计和分析来揭示大脑区域之间的顺序激活。

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