A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings.

TitleA high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings.
Publication TypeJournal Article
Year of Publication2014
AuthorsMA Escabí, HL Read, J Viventi, D-H Kim, NC Higgins, DA Storace, ASK Liu, AM Gifford, JF Burke, M Campisi, Y-S Kim, AE Avrin, VD Spiegel Jan, Y Huang, M Li, J Wu, JA Rogers, B Litt, and YE Cohen
JournalJournal of Neurophysiology
Start Page1566
Pagination1566 - 1583
Date Published09/2014

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.

Short TitleJournal of Neurophysiology