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Imaging neuronal population activity in awake and anesthetized rodents

MPS-Authors
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Greenberg,  DS
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Neural Population Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84296

Wallace,  DJ
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Neural Population Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84010

Kerr,  JND
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Neural Population Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://cshprotocols.cshlp.org/content/2014/9/pdb.top083535.long
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Citation

Greenberg, D., Wallace, D., & Kerr, J. (2014). Imaging neuronal population activity in awake and anesthetized rodents. Cold Spring Harbor Protocols, 2014(9), 912-922. doi:10.1101/pdb.top083535.


Cite as: https://hdl.handle.net/21.11116/0000-0002-0DD4-1
Abstract
Recent advances in in vivo two-photon imaging have extended the technique to permit the detection of action potentials (APs) in populations of spatially resolved neurons in awake animals. Although experimentally demanding, this technique's potential applications include experiments to investigate perception, behavior, and other awake states. Here we outline experimental procedures for imaging neuronal populations in awake and anesthetized rodents. Details are provided on habituation to head fixation, surgery, head plate design, and dye injection. Determination of AP detection accuracy through simultaneous optical and electrophysiological recordings is also discussed. Basic problems of data analysis are considered, such as correction of signal background and baseline drift, AP detection, and motion correction. As an application of the method, the comparison of neuronal activity across arousal states is considered in detail, and some future directions are discussed.