Decoding the rat forelimb movement direction from epidural and intracortical field potentials.
Decoding the rat forelimb movement direction from epidural and intracortical field potentials.
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DOI：
10.1088/1741-2560/8/3/036013
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发表时间：
2011-06
影响因子：
4
通讯作者：
Miller LE
中科院分区：
文献类型：
--
作者：
Slutzky MW;Jordan LR;Lindberg EW;Lindsay KE;Miller LE
脑机接口（brain-machine interfaces，bmi）使用来自大脑的信号来控制计算机光标等设备。各种类型的信号已被用作BMI输入，从单位动作电位到头皮电位。最近，中等水平的信号，如硬膜下场电位也显示出希望。这些不同的信号类型可能提供不同的信息量，但我们还不知道什么样的信号类型是必要的，以实现特定的BMI功能，如识别到达目标位置，控制二维光标或肢体运动的动态。在这里，我们评估了场电位的性能，测量无论是皮质内（局部场电位，LFP）或脑内（EFP），在解码到达方向的能力。我们训练大鼠用前爪移动操纵杆，以控制吸管的运动，使其到达四个二维目标中的一个。我们解码前肢到达方向从场电位使用线性判别分析。EFP的平均准确率为69±3%，LFP的平均准确率为57±2%，两者都比偶然性好得多。信号质量在植入后13个月内保持良好。这表明使用硬膜外信号可以提供高质量的BMI输入，与使用皮质内记录相比，对患者的风险更小。
Brain machine interfaces (BMIs) use signals from the brain to control a device such as a computer cursor. Various types of signals have been used as BMI inputs, from single-unit action potentials to scalp potentials. Recently, intermediate-level signals such as subdural field potentials have also shown promise. These different signal types are likely to provide different amounts of information, but we don't yet know what signal types are necessary to enable a particular BMI function, such as identification of reach target location, control of a two-dimensional cursor or the dynamics of limb movement. Here we evaluated the performance of field potentials, measured either intracortically (local field potentials, LFPs) or epidurally (EFPs), in terms of the ability to decode reach direction. We trained rats to move a joystick with their forepaw to control the motion of a sipper tube to one of four targets in two dimensions. We decoded forelimb reach direction from the field potentials using linear discriminant analysis. We achieved a mean accuracy of 69±3% with EFPs and 57±2% with LFPs, both much better than chance. Signal quality remained good up to 13 months after implantation. This suggests that using epidural signals could provide BMI inputs of high quality with less risk to the patient than using intracortical recordings.
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DOI：
10.1523/jneurosci.2081-09.2009
发表时间：
2009-11-11
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Hwang EJ;Andersen RA
通讯作者：
Andersen RA
影响因子：
2.7
作者：
Hyland, B
通讯作者：
Hyland, B
DOI：
10.1109/tnsre.2004.834629
发表时间：
2004-09-01
影响因子：
4.9
作者：
Kennedy, PR;Kirby, MT;Mallory, A
通讯作者：
Mallory, A
影响因子：
5.3
作者：
Miller, Kai J.;Leuthardt, Eric C.;Ojemann, Jeffrey G.
通讯作者：
Ojemann, Jeffrey G.
影响因子：
2.5
作者：
Jackson, Andrew;Fetz, Eberhard E.
通讯作者：
Fetz, Eberhard E.