Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals

DOI Web Site 12 Citations
  • Antal Berényi
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;
  • Zoltán Somogyvári
    Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, New Jersey;
  • Anett J. Nagy
    MTA-SZTE “Momentum” Oscillatory Neuronal Networks Research Group, Department of Physiology, University of Szeged, Szeged, Hungary;
  • Lisa Roux
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;
  • John D. Long
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;
  • Shigeyoshi Fujisawa
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;
  • Eran Stark
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;
  • Anthony Leonardo
    Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia
  • Timothy D. Harris
    Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia
  • György Buzsáki
    New York University Neuroscience Institute, School of Medicine, New York University, New York, New York;

Abstract

<jats:p> Monitoring representative fractions of neurons from multiple brain circuits in behaving animals is necessary for understanding neuronal computation. Here, we describe a system that allows high-channel-count recordings from a small volume of neuronal tissue using a lightweight signal multiplexing headstage that permits free behavior of small rodents. The system integrates multishank, high-density recording silicon probes, ultraflexible interconnects, and a miniaturized microdrive. These improvements allowed for simultaneous recordings of local field potentials and unit activity from hundreds of sites without confining free movements of the animal. The advantages of large-scale recordings are illustrated by determining the electroanatomic boundaries of layers and regions in the hippocampus and neocortex and constructing a circuit diagram of functional connections among neurons in real anatomic space. These methods will allow the investigation of circuit operations and behavior-dependent interregional interactions for testing hypotheses of neural networks and brain function. </jats:p>

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