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Human neuroimaging reveals the subcomponents of grasping, reaching and pointing actions.

机译:人体神经影像揭示了抓握,伸手和指点动作的子组件。

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摘要

Although the neural underpinnings of visually guided grasping and reaching have been well delineated within lateral and medial fronto-parietal networks (respectively), the contributions of subcomponents of visuomotor actions have not been explored in detail. Using careful subtraction logic, here we investigated which aspects of grasping, reaching, and pointing movements drive activation across key areas within visuomotor networks implicated in hand actions. For grasping tasks, we find activation differences based on the precision required (fine > coarse grip: anterior intraparietal sulcus, aIPS), the requirement to lift the object (grip + lift > grip: aIPS; dorsal premotor cortex, PMd; and supplementary motor area, SMA), and the number of digits employed (3-/5- vs. 2-digit grasps: ventral premotor cortex, PMv; motor cortex, M1, and somatosensory cortex, S1). For reaching/pointing tasks, we find activation differences based on whether the task required arm transport ((reach-to-point with index finger and reach-to-touch with knuckles) vs. point-without-reach; anterior superior parietal lobule, aSPL) and whether it required pointing to the object centre ((point-without-reach and reach-to-point) vs. reach-to-touch: anterior superior parieto-occipital cortex, aSPOC). For point-without-reach, in which the index finger is oriented towards the object centre but from a distance (point-without-reach > (reach-to-point and reach-to-touch)), we find activation differences that may be related to the communicative nature of the task (temporo-parietal junction, TPJ) and the need to precisely locate the target (lateral occipito-temporal cortex, LOTC). The present findings elucidate the different subcomponents of hand actions and the roles of specific brain regions in their computation.
机译:尽管在外侧和内侧额顶壁网络(分别)中已经很好地描绘了视觉引导的抓握和触及的神经基础,但尚未详细探讨视觉运动作用的子成分的贡献。使用仔细的减法逻辑,在这里我们研究了抓握,伸手和指点运动的哪些方面在涉及动作的视觉运动网络内的关键区域驱动了激活。对于抓握任务,我们根据所需的精度(精细>粗抓力:顶顶前沟,aIPS),提起物体的要求(抓地力+提拉>抓力:aIPS,背运动前皮层,PMd和辅助运动)发现激活差异。区域(SMA),以及所使用的数字位数(3- / 5- vs. 2位数掌握:腹侧前运动皮层PMv;运动皮层M1和体感皮层S1)。对于到达/指向任务,我们根据任务是否需要手臂运输来找到激活差异((食指到达点和指关节到达触摸)与未到达点;前顶上小叶, aSPL)以及是否需要指向对象中心((无指向和触及点)与触碰触及点:前顶枕骨皮质,aSPOC)。对于食指无意地指向对象中心但距离较远的点(无指点>(触及点和触及触角)),我们发现激活差异可能会与任务的交流性质(颞顶交界处,TPJ)以及精确定位目标的需求(外侧枕颞颞叶皮质,LOTC)有关。本研究结果阐明了手势的不同子组件以及特定大脑区域在计算中的作用。

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