Evolution of brain-computer interfaces: going beyond classic motor physiology.
Evolution of brain-computer interfaces: going beyond classic motor physiology.
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DOI：
10.3171/2009.4.focus0979
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发表时间：
2009-07
影响因子：
4.1
通讯作者：
Moran DW
中科院分区：
文献类型：
--
作者：
Leuthardt EC;Schalk G;Roland J;Rouse A;Moran DW
计算机可以解码大脑信号来推断人类的意图，然后直接通过机器执行这些意图，这一概念正在成为一种现实的技术可能性。这些类型的设备被称为脑机接口（BCI）。这些神经假体技术的发展可能会对运动障碍患者产生重大影响，增强他们与环境互动和沟通的能力。研究最多并用于设备控制的皮层生理学是来自初级运动皮层的大脑信号。迄今为止，这种经典的运动生理学已经成为证明基于BCI的控制的潜在功效的有效底物。然而，新兴的研究现在将进一步增强我们对支撑人类意图的皮层生理学的理解，并为更复杂的脑源性控制提供进一步的信号。在这篇综述中，作者报告了脑机接口的现状，并详细介绍了未来增强临床应用的新兴研究趋势。
The notion that a computer can decode brain signals to infer the intentions of a human and then enact those intentions directly through a machine is becoming a realistic technical possibility. These types of devices are known as brain-computer interfaces (BCIs). The evolution of these neuroprosthetic technologies could have significant implications for patients with motor disabilities by enhancing their ability to interact and communicate with their environment. The cortical physiology most investigated and used for device control has been brain signals from the primary motor cortex. To date, this classic motor physiology has been an effective substrate for demonstrating the potential efficacy of BCI-based control. However, emerging research now stands to further enhance our understanding of the cortical physiology underpinning human intent and provide further signals for more complex brain-derived control. In this review, the authors report the current status of BCIs and detail the emerging research trends that stand to augment clinical applications in the future.