Neuronal metabolism governs cortical network response state

  • M. O. Cunningham
    *School of Neurology, Neurobiology, and Psychiatry, University of Newcastle, Newcastle upon Tyne NE2 4HH, United Kingdom;
  • D. D. Pervouchine
    Department of Mathematics, Boston University, 111 Cummington Street, Boston, MA 02215;
  • C. Racca
    *School of Neurology, Neurobiology, and Psychiatry, University of Newcastle, Newcastle upon Tyne NE2 4HH, United Kingdom;
  • N. J. Kopell
    Department of Mathematics, Boston University, 111 Cummington Street, Boston, MA 02215;
  • C. H. Davies
    Neurology Center of Excellence for Drug Discovery, GlaxoSmithKline, Harlow, Essex CM19 5AW, United Kingdom;
  • R. S. G. Jones
    Department of Pharmacy and Pharmacology, University of Bath, Bath BA2 7AY, United Kingdom; and
  • R. D. Traub
    Department of Physiology and Pharmacology, State University of New York, Brooklyn, NY 11203
  • M. A. Whittington
    *School of Neurology, Neurobiology, and Psychiatry, University of Newcastle, Newcastle upon Tyne NE2 4HH, United Kingdom;

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<jats:p> The level of arousal in mammals is correlated with metabolic state and specific patterns of cortical neuronal responsivity. In particular, rhythmic transitions between periods of high activity (up phases) and low activity (down phases) vary between wakefulness and deep sleep/anesthesia. Current opinion about changes in cortical response state between sleep and wakefulness is split between neuronal network-mediated mechanisms and neuronal metabolism-related mechanisms. Here, we demonstrate that slow oscillations in network state are a consequence of interactions between both mechanisms. Specifically, recurrent networks of excitatory neurons, whose membrane potential is partly governed by ATP-modulated potassium (K <jats:sub>ATP</jats:sub> ) channels, mediate response-state oscillations via the interaction between excitatory network activity involving slow, kainate receptor-mediated events and the resulting activation of ATP-dependent homeostatic mechanisms. These findings suggest that K <jats:sub>ATP</jats:sub> channels function as an interface between neuronal metabolic state and network responsivity in mammalian cortex. </jats:p>

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