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

Journal Article · · Journal of Neurophysiology
 [1];  [2];  [3];  [4];  [2];  [2];  [5];  [5];  [5];  [6];  [7];  [5];  [5];  [8];  [9];  [10];  [7];  [5];  [5]
  1. Univ. of Connecticut, Storrs, CT (United States); University of Illinois
  2. Univ. of Connecticut, Storrs, CT (United States)
  3. New York Univ. (NYU), NY (United States); Polytechnic Inst. of New York Univ., Brooklyn, NY (United States)
  4. Seoul National Univ. (Korea, Republic of)
  5. Univ. of Pennsylvania, Philadelphia, PA (United States)
  6. Polytechnic Inst. of New York Univ., Brooklyn, NY (United States)
  7. Univ. of Illinois at Urbana-Champaign, IL (United States)
  8. Northwestern Univ., Evanston, IL (United States)
  9. Dalian Univ. of Technology (China)
  10. Tsinghua Univ., Beijing (China)

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/cm2). 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. Furthermore, 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.

Research Organization:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division; National Science Foundation
Grant/Contract Number:
FG02-07ER46471; FG02-07ER46453
OSTI ID:
1874984
Journal Information:
Journal of Neurophysiology, Journal Name: Journal of Neurophysiology Journal Issue: 6 Vol. 112; ISSN 0022-3077
Publisher:
American Physiological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Toward Self-Powered Wearable Adhesive Skin Patch with Bendable Microneedle Array for Transdermal Drug Delivery journal April 2016
Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex journal April 2016
Cluster-based analysis improves predictive validity of spike-triggered receptive field estimates journal September 2017
High Spatiotemporal Resolution ECoG Recording of Somatosensory Evoked Potentials with Flexible Micro-Electrode Arrays journal April 2017
Scalable Microfabrication Procedures for Adhesive-Integrated Flexible and Stretchable Electronic Sensors journal September 2015
Recent Advances in Materials, Devices, and Systems for Neural Interfaces journal May 2018
Conformable Hybrid Systems for Implantable Bioelectronic Interfaces journal October 2019
Ultrathin, High Capacitance Capping Layers for Silicon Electronics with Conductive Interconnects in Flexible, Long‐Lived Bioimplants journal November 2019
Data-driven Koopman operator approach for computational neuroscience journal November 2019
Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording journal January 2016
Conductively coupled flexible silicon electronic systems for chronic neural electrophysiology journal September 2018
Flexible electronic/optoelectronic microsystems with scalable designs for chronic biointegration journal July 2019
Closed-loop interaction with the cerebral cortex: a review of wireless implant technology journal March 2017
A low-cost, multiplexed μ ECoG system for high-density recordings in freely moving rodents journal March 2016
A novel approach for combining task-dependent gamma with alpha and beta power modulation for enhanced identification of eloquent cortical areas using ECoG in patients with medical-refractory epilepsy posted_content January 2019

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