Data from: Electrical imaging of cortical and spinal axons using high-density microelectrode arrays
Data files
Aug 16, 2023 version files 8.60 GB
Abstract
Mammalian axons are specialized for transmitting action potentials to targets within the central and peripheral nervous system. A growing body of evidence suggests that, besides signal conduction, axons play essential roles in neural information processing, and their malfunctions are common hallmarks of neurodegenerative diseases. The technologies available to study axonal function and structure integrally limit the comprehension of axon neurobiology.
Complementary-metal-oxide-semiconductor (CMOS) -based high-density microelectrode arrays (HD-MEAs) have been designed to record extracellular action potentials from neuronal cultures and allow tracking axonal signals across hundreds of microelectrodes. Thanks to a low-noise CMOS-design, HD-MEAs enable detection of APs across entire arbors of cortical axons. HD-MEAs provide noninvasive access to axonal action potentials and impose no constraints on the duration of the recording sessions. Here we present extracellular electrical activity recorded from rat's primary neurons using CMOS-based HD-MEA system (MaxWell Biosystems AG). Datasets comprise electrophysiological recordings obtained from primary motor and cortical neurons. Recorded signals were up-sampled to 200 kHz following the Whitaker-Shannon interpolation formula. Recorded signals were spike-sorted and spike-trigger averaged across an entire array (26400 electrodes). Such signal representation is referred to as ‘axonal electrical image’.
Methods
Array-wide averaging of voltage traces, synchronized with the initial trace (recorded from the axon initial segment), reveals the spatiotemporal distribution of extracellular action potentials across an entire axonal arbor. The first step in obtaining these data was selecting 9 electrodes that were closest to the putative axon initial segment. We next designed multiple recording configurations covering the entire array - in each configuration, 9 of the 1024 readout channels were routed to the 9 preselected electrodes, and remaining available channels were routed to randomly selected electrodes. Each configuration was used to sample neuronal activity during 2 minutes. Signals recorded by the 9 preselected electrodes in each configuration were sorted using the Spyking-Circus algorithm (1). Timestamps of the sorted signals were used to trigger the averaging of voltage traces recorded across all other electrodes in the array. The spatiotemporal distribution of averaged signals was reconstructed using a custom-designed Matlab code.
1. Yger, P. et al. A spike sorting toolbox for up to thousands of electrodes validated with ground truth recordings in vitro and in vivo. Elife 7, e34518 (2018).
Usage notes
Electrophysiological data obtained from individual neurons are stored in separate .mat files, and can be accessed by Matlab version.