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A high-density, high-channel count, multiplexed mu ECoG array for auditory-cortex recordings

Cited 37 time in Web of Science Cited 42 time in Scopus
Authors
Escabi, Monty A.; Read, Heather L.; Viventi, Jonathan; Kim, Dae-Hyeong; Higgins, Nathan C.; Storace, Douglas A.; Liu, Andrew S. K.; Gifford, Adam M.; Burke, John F.; Campisi, Matthew; Kim, Yun-Soung; Avrin, Andrew E.; Van der Spiegel, Jan; Huang, Yonggang; Li, Ming; Wu, Jian; Rogers, John A.; Litt, Brian; Cohen, Yale E.
Issue Date
2014-09
Citation
Journal of Neurophysiology, Vol.112 No.6, pp.1566-1583
Keywords
electrocorticographymu ECoGauditory cortextopographytonotopy
Abstract
Our understanding of the large-scale population dynamics of neural activity is limited, in part, by our inability to record simultaneously from large regions of the cortex. Here, we validated the use of a large-scale active microelectrode array that simultaneously records 196 multiplexed micro-electrocortigraphical (mu ECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared mu ECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" mu ECoG array. Both of these array responses were also compared with data recorded via intrinsic optical imaging, which is a standard methodology for recording sound-evoked cortical activity. Custom active mu ECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive mu ECoG arrays. Furthermore, the cortical representation could be measured efficiently with the active arrays, requiring as little as 13.5 s of neural data acquisition. Next, we generated spectrotemporal receptive fields from the recorded neural activity on the active mu ECoG array and identified functional organizational principles comparable to those observed using intrinsic metabolic imaging and single-neuron recordings. This new electrode array technology has the potential for large-scale, temporally precise monitoring and mapping of the cortex, without the use of invasive penetrating electrodes.
ISSN
0022-3077
URI
http://hdl.handle.net/10371/164374
DOI
https://doi.org/10.1152/jn.00179.2013
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Chemical and Biological Engineering (화학생물공학부)Chemical Convergence for Energy and Environment (에너지환경 화학융합기술전공)Journal Papers (저널논문_에너지환경 화학융합기술전공)
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