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A metabolic function of the hippocampal sharp wave-ripple

Author

Listed:
  • David Tingley

    (New York University)

  • Kathryn McClain

    (New York University)

  • Ekin Kaya

    (New York University
    Bogazici University)

  • Jordan Carpenter

    (New York University
    Norwegian University of Science and Technology)

  • György Buzsáki

    (New York University
    New York University
    New York University
    New York University)

Abstract

The hippocampus has previously been implicated in both cognitive and endocrine functions1–15. We simultaneously measured electrophysiological activity from the hippocampus and interstitial glucose concentrations in the body of freely behaving rats to identify an activity pattern that may link these disparate functions of the hippocampus. Here we report that clusters of sharp wave-ripples recorded from the hippocampus reliably predicted a decrease in peripheral glucose concentrations within about 10 min. This correlation was not dependent on circadian, ultradian or meal-triggered fluctuations, could be mimicked with optogenetically induced ripples in the hippocampus (but not in the parietal cortex) and was attenuated to chance levels by pharmacogenetically suppressing activity of the lateral septum, which is the major conduit between the hippocampus and the hypothalamus. Our findings demonstrate that a function of the sharp wave-ripple is to modulate peripheral glucose homeostasis, and offer a mechanism for the link between sleep disruption and blood glucose dysregulation in type 2 diabetes16–18.

Suggested Citation

  • David Tingley & Kathryn McClain & Ekin Kaya & Jordan Carpenter & György Buzsáki, 2021. "A metabolic function of the hippocampal sharp wave-ripple," Nature, Nature, vol. 597(7874), pages 82-86, September.
    • Handle: RePEc:nat:nature:v:597:y:2021:i:7874:d:10.1038_s41586-021-03811-w
    DOI: 10.1038/s41586-021-03811-w
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    Cited by:

    1. Yuhao Huang & Jeffrey B. Wang & Jonathon J. Parker & Rajat Shivacharan & Rayhan A. Lal & Casey H. Halpern, 2023. "Spectro-spatial features in distributed human intracranial activity proactively encode peripheral metabolic activity," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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