A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings
Author(s) -
Monty A. Escabı́,
Heather L. Read,
Jonathan Viventi,
DaeHyeong Kim,
Nathan C. Higgins,
Douglas A. Storace,
Andrew Liu,
Adam M. Gifford,
John F. Burke,
Matthew Campisi,
YunSoung Kim,
Andrew E. Avrin,
Van der Spiegel Jan,
Yonggang Huang,
Ming Li,
Jian Wu,
John A. Rogers,
Brian Litt,
Yale E. Cohen
Publication year - 2014
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00179.2013
Subject(s) - tonotopy , multielectrode array , auditory cortex , electrode array , neuroscience , cortex (anatomy) , computer science , population , microelectrode , electrode , physics , psychology , medicine , quantum mechanics , environmental health
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 (μECoG) signals from the cortical surface at a very high density (1,600 electrodes/cm(2)). We compared μECoG measurements in auditory cortex using a custom "active" electrode array to those recorded using a conventional "passive" μECoG 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 μECoG arrays generated more veridical representations of the tonotopic organization of the auditory cortex than current commercially available passive μECoG 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 μECoG 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.
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