A low-cost, scalable, current-sensing digital headstage for high channel count microECoG

Trumpis, Michael; Insanally, Michele; Zou, Jialin; ElSharif, Ashraf; Ghomashchi, Ali; Artan, N Sertac; Froemke, Robert; Viventi, Jonathan

Research Summary

High channel count electrode arrays allow for the monitoring of large-scale neural activity at high spatial resolution. Implantable arrays featuring many recording sites require compact, high bandwidth front-end electronics. In the present study, we investigated the use of a small, light weight, and low cost digital current-sensing integrated circuit for acquiring cortical surface signals from a 61-channel micro-electrocorticographic (ECoG) array. APPROACH: We recorded both acute and chronic ECoG signal from rat auditory cortex using our novel digital current-sensing headstage. For direct comparison, separate recordings were made in the same anesthetized preparations using an analog voltage headstage. A model of electrode impedance explained the transformation between current- and voltage-sensed signals, and was used to reconstruct cortical potential. We evaluated the digital headstage using several metrics of the baseline and response signals. MAIN RESULTS: The digital current headstage recorded neural signal with similar spatiotemporal stastics and auditory frequency tuning compared to the voltage signal. The signal-to-noise ratio of auditory evoked responses (AERs) was significantly stronger in the current signal. Stimulus decoding based on true and reconstructed voltage signals were not significantly different. Recordings from an implanted system showed AERs that were detectable and decodable for 52 days. The reconstruction filter mitigated the thermal current noise of the electrode impedance and enhanced overall SNR.

NAME OF VIDEO

SFX:

Journal of neural engineering. 2017:14(2).

DOI:

10.1088/1741-2552/aa5a82

PMID:

28102827

ISSN:

1741-2552

CID:

2424942