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

Author:

Escabí Monty A.123,Read Heather L.12,Viventi Jonathan45,Kim Dae-Hyeong6,Higgins Nathan C.1,Storace Douglas A.1,Liu Andrew S. K.7,Gifford Adam M.8,Burke John F.8,Campisi Matthew5,Kim Yun-Soung9,Avrin Andrew E.10,Spiegel Jan Van der10,Huang Yonggang11,Li Ming12,Wu Jian13,Rogers John A.9,Litt Brian1415,Cohen Yale E.141617

Affiliation:

1. Department of Psychology, University of Connecticut, Storrs, Connecticut;

2. Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut;

3. Department of Electrical Engineering, University of Connecticut, Storrs, Connecticut;

4. Center for Neural Science, New York University, New York, New York;

5. Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York;

6. Center for Nanoparticle Research of Institute for Basic Science, School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea;

7. Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania;

8. Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania;

9. Department of Materials Science and Engineering, Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois;

10. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania;

11. Departments of Mechanical Engineering and Civil and Environmental Engineering, Northwestern University, Evanston, Illinois;

12. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, China;

13. Department of Engineering Mechanics, Tsinghua University, Beijing, China;

14. Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania;

15. Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;

16. Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and

17. Department of Otorhinolaryngology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania

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 (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. 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.

Publisher

American Physiological Society

Subject

Physiology,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3