Slutzky Marc W, Jordan Luke R, Miller Lee E
Departments of Neurology and Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3771-4. doi: 10.1109/IEMBS.2008.4650029.
Brain-machine interfaces (BMIs) have the potential to improve quality of life for thousands of motor-impaired individuals. Many different signal sources have been investigated for use in controlling a BMI, including scalp EEG, field potentials from inside and the surface of the cerebral cortex, and single-neuron action potentials. A relatively unexplored region for recording signals is the epidural space. This study attempts to help determine the optimal spatial resolution of epidural and subdural electrode arrays using both a mathematical model and spatial spectral analysis. For rats, optimal spacing for both epidural and subdural electrodes was approximately 0.7 mm.
脑机接口（BMI）有潜力改善数千名运动功能受损个体的生活质量。人们已经研究了许多不同的信号源用于控制BMI，包括头皮脑电图、大脑皮质内部和表面的场电位以及单神经元动作电位。硬膜外间隙是一个相对未被探索的信号记录区域。本研究试图通过数学模型和空间频谱分析来帮助确定硬膜外和硬膜下电极阵列的最佳空间分辨率。对于大鼠，硬膜外和硬膜下电极的最佳间距约为0.7毫米。
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