Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex.

Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex.
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DOI:
10.1109/iembs.2010.5626228
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发表时间:
2010
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Donoghue JP
Donoghue JP
中科院分区:
其他
文献类型:
--
作者:
Zhuang J;Truccolo W;Vargas-Irwin C;Donoghue JP

文献摘要

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神经接口系统的最新发展有望恢复瘫痪患者的运动。在寻找控制神经接口系统(NIS)的神经信号,以前的研究主要是研究单个和多个单位的活动,以及低频局部场电位(LFPs)。本文通过对离散抓取状态的分类和对连续抓取轨迹的解码,研究了宽带高频LFP(200 Hz - 400 Hz)抓取运动的信息含量。通过96微电极阵列记录LFPs在初级运动皮层(M1)的两只猴子执行自由的3-D达到和抓取对移动物体。我们的研究结果表明,宽带高频LFPs可以作为有用的信号在NIS,旨在恢复运动功能,如抓取控制。
Recent developments in neural interface systems hold the promise to restore movement in people with paralysis. In search of neural signals for control of neural interface systems (NISs), previous studies have investigated primarily single and multiunit activity, as well as low frequency local field potentials (LFPs). In this paper, we investigate the information content about grasping motion of a broad band high frequency LFP (200 Hz – 400 Hz) by classifying discrete grasp aperture states and decoding continuous aperture trajectories. LFPs were recorded via 96-microelectrode arrays in the primary motor cortex (M1) of two monkeys performing free 3-D reaching and grasping towards moving objects. Our results indicate that broad band high frequency LFPs could serve as useful signals in NISs that aim at restoring motor functions such as grasp control.