Lewandowska Marta K, Bakkum Douglas J, Rompani Santiago B, Hierlemann Andreas
Bio Engineering Laboratories, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Neural Circuits Laboratory, Friedrich Miescher Institute, Basel, Switzerland.
PLoS One. 2015 Mar 3;10(3):e0118514. doi: 10.1371/journal.pone.0118514. eCollection 2015.
The numerous connections between neuronal cell bodies, made by their dendrites and axons, are vital for information processing in the brain. While dendrites and synapses have been extensively studied, axons have remained elusive to a large extent. We present a novel platform to study axonal physiology and information processing based on combining an 11,011-electrode high-density complementary metal-oxide semiconductor microelectrode array with a poly(dimethylsiloxane) channel device, which isolates axons from somas and, importantly, significantly amplifies recorded axonal signals. The combination of the microelectrode array with recording and stimulation capability with the microfluidic isolation channels permitted us to study axonal signal behavior at great detail. The device, featuring two culture chambers with over 30 channels spanning in between, enabled long-term recording of single spikes from isolated axons with signal amplitudes of 100 μV up to 2 mV. Propagating signals along axons could be recorded with 10 to 50 electrodes per channel. We (i) describe the performance and capabilities of our device for axonal electrophysiology, and (ii) present novel data on axonal signals facilitated by the device. Spontaneous action potentials with characteristic shapes propagated from somas along axons between the two compartments, and these unique shapes could be used to identify individual axons within channels that contained many axonal branches. Stimulation through the electrode array facilitated the identification of somas and their respective axons, enabling interfacing with different compartments of a single cell. Complex spike shapes observed in channels were traced back to single cells, and we show that more complicated spike shapes originate from a linear superposition of multiple axonal signals rather than signal distortion by the channels.
神经元细胞体之间通过其树突和轴突建立的众多连接,对于大脑中的信息处理至关重要。虽然树突和突触已得到广泛研究,但轴突在很大程度上仍难以捉摸。我们提出了一个新颖的平台,用于研究轴突生理学和信息处理,该平台基于将一个11,011电极的高密度互补金属氧化物半导体微电极阵列与一个聚二甲基硅氧烷通道装置相结合,该装置可将轴突与胞体分离,并且重要的是,能显著放大记录到的轴突信号。微电极阵列的记录和刺激能力与微流体隔离通道的结合,使我们能够非常详细地研究轴突信号行为。该装置具有两个培养室,中间有30多个通道,能够对分离的轴突进行长期单峰记录,信号幅度在100 μV至2 mV之间。每个通道可用10至50个电极记录沿轴突传播的信号。我们(i)描述了该装置用于轴突电生理学的性能和能力,(ii)展示了由该装置促成的关于轴突信号的新数据。具有特征形状的自发动作电位从胞体沿两个隔室之间的轴突传播,这些独特的形状可用于识别包含许多轴突分支的通道内的单个轴突。通过电极阵列进行刺激有助于识别胞体及其各自的轴突,从而实现与单个细胞不同隔室的连接。在通道中观察到的复杂尖峰形状可追溯到单个细胞,并且我们表明更复杂的尖峰形状源自多个轴突信号的线性叠加,而非通道造成的信号失真。