首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Decoding action intentions from preparatory brain activity in human parieto-frontal networks.
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Decoding action intentions from preparatory brain activity in human parieto-frontal networks.

机译:从人顶额额网络中的准备性大脑活动中解码动作意图。

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How and where in the human brain high-level sensorimotor processes such as intentions and decisions are coded remain important yet essentially unanswered questions. This is in part because, to date, decoding intended actions from brain signals has been primarily constrained to invasive neural recordings in nonhuman primates. Here we demonstrate using functional MRI (fMRI) pattern recognition techniques that we can also decode movement intentions from human brain signals, specifically object-directed grasp and reach movements, moments before their initiation. Subjects performed an event-related delayed movement task toward a single centrally located object (consisting of a small cube attached atop a larger cube). For each trial, after visual presentation of the object, one of three hand movements was instructed: grasp the top cube, grasp the bottom cube, or reach to touch the side of the object (without preshaping the hand). We found that, despite an absence of fMRI signal amplitude differences between the planned movements, the spatial activity patterns in multiple parietal and premotor brain areas accurately predicted upcoming grasp and reach movements. Furthermore, the patterns of activity in a subset of these areas additionally predicted which of the two cubes were to be grasped. These findings offer new insights into the detailed movement information contained in human preparatory brain activity and advance our present understanding of sensorimotor planning processes through a unique description of parieto-frontal regions according to the specific types of hand movements they can predict.
机译:在人脑中如何编码高水平的感觉运动过程,例如意图和决定,仍然很重要,但本质上是未解决的问题。部分原因在于,迄今为止,从大脑信号中解码预期的动作主要已被限制在非人类灵长类动物的侵入性神经记录中。在这里,我们演示了使用功能性MRI(fMRI)模式识别技术,我们还可以从人脑信号中解码运动意图,特别是对象定向的抓取并达到运动,即运动开始之前的时刻。受试者向单个居中物体(由附在较大立方体上方的小立方体)执行了与事件相关的延迟移动任务。对于每次试验,在视觉呈现对象后,均指示了以下三个手部移动之一:握住顶部立方体,握住底部立方体或伸手触摸物体的侧面(无需预先塑造手形)。我们发现,尽管计划的运动之间没有fMRI信号幅度差异,但多个顶叶和运动前脑区域的空间活动模式可以准确地预测即将到来的抓握和伸展运动。此外,这些区域的子集中的活动模式还可以预测要把握两个立方体中的哪个。这些发现为人类预备性大脑活动中包含的详细运动信息提供了新的见解,并通过根据额叶额叶区域可预测的特定手部动作类型的独特描述,增进了我们目前对感觉运动计划过程的理解。

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