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A high-density, high-channel count, multiplexed µECoG array for auditory-cortex recordings.
Escabí, 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; Spiegel Jan, Van der; Huang, Yonggang; Li, Ming; Wu, Jian; Rogers, John A; Litt, Brian; Cohen, Yale E.
Afiliação
  • Escabí MA; Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut; Department of Electrical Engineering, University of Connecticut, Storrs, Connecticut;
  • Read HL; Department of Psychology, University of Connecticut, Storrs, Connecticut; Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut;
  • Viventi J; Center for Neural Science, New York University, New York, New York; Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York;
  • Kim DH; Center for Nanoparticle Research of Institute for Basic Science, School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea;
  • Higgins NC; Department of Psychology, University of Connecticut, Storrs, Connecticut;
  • Storace DA; Department of Psychology, University of Connecticut, Storrs, Connecticut;
  • Liu AS; Bioengineering Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Gifford AM; Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Burke JF; Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Campisi M; Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, New York;
  • Kim YS; 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;
  • Avrin AE; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Spiegel Jan Vd; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Huang Y; Departments of Mechanical Engineering and Civil and Environmental Engineering, Northwestern University, Evanston, Illinois;
  • Li M; State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, China;
  • Wu J; Department of Engineering Mechanics, Tsinghua University, Beijing, China;
  • Rogers JA; 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;
  • Litt B; Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
  • Cohen YE; Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and Department of Otorhinolaryngology, Perelman School of Medicine, University of Pennsylvania, Phila
J Neurophysiol ; 112(6): 1566-83, 2014 Sep 15.
Article em En | MEDLINE | ID: mdl-24920021
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/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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Mapeamento Encefálico / Eletroencefalografia Limite: Animals Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Auditivo / Mapeamento Encefálico / Eletroencefalografia Limite: Animals Idioma: En Ano de publicação: 2014 Tipo de documento: Article