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Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo

Author

Listed:
  • Thomas Klausberger

    (Oxford University)

  • Peter J. Magill

    (Oxford University)

  • László F. Márton

    (Oxford University)

  • J. David B. Roberts

    (Oxford University)

  • Philip M. Cobden

    (Oxford University)

  • György Buzsáki

    (The State University of New Jersey)

  • Peter Somogyi

    (Oxford University)

Abstract

Neural-network oscillations at distinct frequencies have been implicated in the encoding, consolidation and retrieval of information in the hippocampus. Some GABA (γ-aminobutyric acid)-containing interneurons fire phase-locked to theta oscillations (4–8 Hz) or to sharp-wave-associated ripple oscillations (120–200 Hz), which represent different behavioural states1,2,3,4,5,6. Interneurons also entrain pyramidal cells in vitro7. The large diversity of interneurons8,9,10 poses the question of whether they have specific roles in shaping distinct network activities in vivo. Here we report that three distinct interneuron types—basket, axo-axonic and oriens–lacunosum-moleculare cells—visualized and defined by synaptic connectivity as well as by neurochemical markers, contribute differentially to theta and ripple oscillations in anaesthetized rats. The firing patterns of individual cells of the same class are remarkably stereotyped and provide unique signatures for each class. We conclude that the diversity of interneurons, innervating distinct domains of pyramidal cells11, emerged to coordinate the activity of pyramidal cells in a temporally distinct and brain-state-dependent manner.

Suggested Citation

  • Thomas Klausberger & Peter J. Magill & László F. Márton & J. David B. Roberts & Philip M. Cobden & György Buzsáki & Peter Somogyi, 2003. "Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo," Nature, Nature, vol. 421(6925), pages 844-848, February.
  • Handle: RePEc:nat:nature:v:421:y:2003:i:6925:d:10.1038_nature01374
    DOI: 10.1038/nature01374
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    Cited by:

    1. Yasuhiro Tsubo & Yoshikazu Isomura & Tomoki Fukai, 2012. "Power-Law Inter-Spike Interval Distributions Infer a Conditional Maximization of Entropy in Cortical Neurons," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-11, April.

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