Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials

  • Authors:

  • Aman B. Saleem;Paul Chadderton;John Apergis-Schoute;Kenneth D. Harris;Simon R. Schultz

  • Affiliations:

  • Department of Bioengineering, Imperial College London, London, UK SW7 2AZ;UCL Ear Institute, London, UK WC1X 8EE and Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, USA 07102;Department of Bioengineering, Imperial College London, London, UK SW7 2AZ;Department of Bioengineering, Imperial College London, London, UK SW7 2AZ and Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, USA 07102;Department of Bioengineering, Imperial College London, London, UK SW7 2AZ

  • Venue:
  • Journal of Computational Neuroscience
  • Year:
  • 2010

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Abstract

During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. Previous studies have shown that these cortical UP/DOWN states affect the excitability of individual neurons in response to sensory stimuli, indicating that a significant amount of the trial-to-trial variability in neuronal responses can be attributed to ongoing fluctuations in network activity. However, as intracellular recordings are frequently not available, it is important to be able to estimate their occurrence purely from extracellular data. Here, we combine in vivo whole cell recordings from single neurons with multi-site extracellular microelectrode recordings, to quantify the performance of various approaches to predicting UP/DOWN states from the deep-layer local field potential (LFP). We find that UP/DOWN states in deep cortical layers of rat primary auditory cortex (A1) are predictable from the phase of LFP at low frequencies (