Boone K G, Holder D S
Department of Physiology, University College, London, UK.
Physiol Meas. 1995 Aug;16(3 Suppl A):A87-98. doi: 10.1088/0967-3334/16/3a/009.
The ability to image the impedance changes that accompany neuronal depolarization in the brain would constitute a major advance in neuroscience technology. Unfortunately, these changes are likely to be small and rapid and so difficult to measure. The impedance change at frequencies above 10 kHz, as used by conventional EIT systems, may be estimated to be about 0.1%. Modelling indicates that a much larger impedance change of about 7% may occur with DC or very-low-frequency excitation. Difficulties with this approach include a low permissive current level and high electrode impedance. We constructed a prototype system employing square wave excitation at 5 Hz to evaluate such problems. It was tested in a saline-filled tank, recording 4000 frames s-1 at a current level of 50 microA. After averaging 100 sets of frames, the signal to noise ratio was 40-50 dB, and reciprocity errors were mostly 10-20%. Images of discrete resistivity changes of less than 10% could be obtained, but with significant systematic errors. While our prototype would not be suitable for neurophysiological imaging as it stands, it has enabled us to determine the modifications that would be required to construct a system for this application.
能够对大脑中伴随神经元去极化的阻抗变化进行成像,将是神经科学技术的一项重大进展。不幸的是,这些变化可能很小且很快,因此难以测量。传统电阻抗断层成像(EIT)系统所使用的高于10 kHz频率下的阻抗变化估计约为0.1%。建模表明,直流或极低频激励可能会出现约7%的大得多的阻抗变化。这种方法的困难包括允许的电流水平低和电极阻抗高。我们构建了一个采用5 Hz方波激励的原型系统来评估此类问题。它在一个充满盐水的水箱中进行了测试,在50微安的电流水平下每秒记录4000帧。在对100组帧进行平均后,信噪比为40 - 50 dB,互易误差大多为10 - 20%。可以获得小于10%的离散电阻率变化图像,但存在显著的系统误差。虽然就目前而言我们的原型不适用于神经生理成像,但它使我们能够确定构建适用于此应用的系统所需的改进。