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High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays.
Chung, Jason E; Joo, Hannah R; Fan, Jiang Lan; Liu, Daniel F; Barnett, Alex H; Chen, Supin; Geaghan-Breiner, Charlotte; Karlsson, Mattias P; Karlsson, Magnus; Lee, Kye Y; Liang, Hexin; Magland, Jeremy F; Pebbles, Jeanine A; Tooker, Angela C; Greengard, Leslie F; Tolosa, Vanessa M; Frank, Loren M.
Afiliação
  • Chung JE; Medical Scientist Training Program and Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San F
  • Joo HR; Medical Scientist Training Program and Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San F
  • Fan JL; Bioengineering Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Liu DF; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA; Bioengineering Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Barnett AH; Center for Computational Biology, Flatiron Institute, 162 Fifth Avenue, New York, NY 10010, USA.
  • Chen S; Center for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Geaghan-Breiner C; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Karlsson MP; SpikeGadgets LLC, San Francisco, CA 94158, USA.
  • Karlsson M; SpikeGadgets LLC, San Francisco, CA 94158, USA.
  • Lee KY; Center for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Liang H; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Magland JF; Center for Computational Biology, Flatiron Institute, 162 Fifth Avenue, New York, NY 10010, USA.
  • Pebbles JA; Center for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Tooker AC; Center for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Greengard LF; Center for Computational Biology, Flatiron Institute, 162 Fifth Avenue, New York, NY 10010, USA; Courant Institute, NYU, New York, NY 10012, USA.
  • Tolosa VM; Center for Micro- and Nano-Technology, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
  • Frank LM; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA, USA. Electronic address: loren@phy.ucsf.edu.
Neuron ; 101(1): 21-31.e5, 2019 01 02.
Article em En | MEDLINE | ID: mdl-30502044
ABSTRACT
The brain is a massive neuronal network, organized into anatomically distributed sub-circuits, with functionally relevant activity occurring at timescales ranging from milliseconds to years. Current methods to monitor neural activity, however, lack the necessary conjunction of anatomical spatial coverage, temporal resolution, and long-term stability to measure this distributed activity. Here we introduce a large-scale, multi-site, extracellular recording platform that integrates polymer electrodes with a modular stacking headstage design supporting up to 1,024 recording channels in freely behaving rats. This system can support months-long recordings from hundreds of well-isolated units across multiple brain regions. Moreover, these recordings are stable enough to track large numbers of single units for over a week. This platform enables large-scale electrophysiological interrogation of the fast dynamics and long-timescale evolution of anatomically distributed circuits, and thereby provides a new tool for understanding brain activity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Encéfalo / Eletrodos Implantados / Fenômenos Eletrofisiológicos / Rede Nervosa Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polímeros / Encéfalo / Eletrodos Implantados / Fenômenos Eletrofisiológicos / Rede Nervosa Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article