Abstract

The hippocampal dentate gyrus is an important relay conveying sensory information from the entorhinal cortex to the hippocampus proper. During exploration, the dentate gyrus has been proposed to act as a pattern separator. However, the dentate gyrus also shows structured activity during immobility and sleep. The properties of these activity patterns at cellular resolution, and their role in hippocampal-dependent memory processes have remained unclear. Using dual-color in-vivo two-photon Ca2+ imaging, we show that in immobile mice dentate granule cells generate sparse, synchronized activity patterns associated with entorhinal cortex activation. These population events are structured and modified by changes in the environment; and they incorporate place- and speed cells. Importantly, they are more similar than expected by chance to population patterns evoked during self-motion. Using optogenetic inhibition, we show that granule cell activity is not only required during exploration, but also during immobility in order to form dentate gyrus-dependent spatial memories.

Data availability

Binarized imaging traces of all cells from all experiment sessions are available on Dryad. https://doi.org/10.5061/dryad.mkkwh70z6.

The following data sets were generated

Article and author information

Author details

  1. Martin Pofahl

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9473-6195
  2. Negar Nikbakht

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. André N Haubrich

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7895-6203
  4. Theresa M Nguyen

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Nicola Masala

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Fabian J Distler

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  7. Oliver Braganza

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8508-1070
  8. Jakob H Macke

    Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5154-8912
  9. Laura A Ewell

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  10. Kurtulus Golcuk

    Institute of Experimental Epileptology and Cognition Research, University of Bonn Medical Center, University of Bonn Medical Center, Bonn, Germany
    Competing interests
    The authors declare that no competing interests exist.
  11. Heinz Beck

    IEECR, University of Bonn Medical Center, Bonn, Germany
    For correspondence
    heinz.beck@ukbonn.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8961-998X

Funding

Deutsche Forschungsgemeinschaft (SFB 1089,Project C04)

  • Heinz Beck

Deutsche Forschungsgemeinschaft (EXC 2064/1 PN 390727645)

  • Jakob H Macke
  • Heinz Beck

Alexander von Humboldt-Stiftung (PSI)

  • Kurtulus Golcuk

Volkswagen Foundation

  • Oliver Braganza
  • Laura A Ewell

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: All animal experiments were conducted in accordance with European (2010/63/EU) and federal law (TierSchG, TierSchVersV) on animal care and use and approved by the county of North-Rhine Westphalia (LANUV AZ 84-02.04.2015.A524, AZ 81-02.04.2019.A216).

Copyright

© 2021, Pofahl et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,309
    views
  • 511
    downloads
  • 36
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Martin Pofahl
  2. Negar Nikbakht
  3. André N Haubrich
  4. Theresa M Nguyen
  5. Nicola Masala
  6. Fabian J Distler
  7. Oliver Braganza
  8. Jakob H Macke
  9. Laura A Ewell
  10. Kurtulus Golcuk
  11. Heinz Beck
(2021)
Synchronous activity patterns in the dentate gyrus during immobility
eLife 10:e65786.
https://doi.org/10.7554/eLife.65786

Share this article

https://doi.org/10.7554/eLife.65786

Further reading

    1. Neuroscience
    Gergely F Turi, Sasa Teng ... Yueqing Peng
    Research Article

    Synchronous neuronal activity is organized into neuronal oscillations with various frequency and time domains across different brain areas and brain states. For example, hippocampal theta, gamma, and sharp wave oscillations are critical for memory formation and communication between hippocampal subareas and the cortex. In this study, we investigated the neuronal activity of the dentate gyrus (DG) with optical imaging tools during sleep-wake cycles in mice. We found that the activity of major glutamatergic cell populations in the DG is organized into infraslow oscillations (0.01–0.03 Hz) during NREM sleep. Although the DG is considered a sparsely active network during wakefulness, we found that 50% of granule cells and about 25% of mossy cells exhibit increased activity during NREM sleep, compared to that during wakefulness. Further experiments revealed that the infraslow oscillation in the DG was correlated with rhythmic serotonin release during sleep, which oscillates at the same frequency but in an opposite phase. Genetic manipulation of 5-HT receptors revealed that this neuromodulatory regulation is mediated by Htr1a receptors and the knockdown of these receptors leads to memory impairment. Together, our results provide novel mechanistic insights into how the 5-HT system can influence hippocampal activity patterns during sleep.

    1. Neuroscience
    Ulrike Pech, Jasper Janssens ... Patrik Verstreken
    Research Article

    The classical diagnosis of Parkinsonism is based on motor symptoms that are the consequence of nigrostriatal pathway dysfunction and reduced dopaminergic output. However, a decade prior to the emergence of motor issues, patients frequently experience non-motor symptoms, such as a reduced sense of smell (hyposmia). The cellular and molecular bases for these early defects remain enigmatic. To explore this, we developed a new collection of five fruit fly models of familial Parkinsonism and conducted single-cell RNA sequencing on young brains of these models. Interestingly, cholinergic projection neurons are the most vulnerable cells, and genes associated with presynaptic function are the most deregulated. Additional single nucleus sequencing of three specific brain regions of Parkinson’s disease patients confirms these findings. Indeed, the disturbances lead to early synaptic dysfunction, notably affecting cholinergic olfactory projection neurons crucial for olfactory function in flies. Correcting these defects specifically in olfactory cholinergic interneurons in flies or inducing cholinergic signaling in Parkinson mutant human induced dopaminergic neurons in vitro using nicotine, both rescue age-dependent dopaminergic neuron decline. Hence, our research uncovers that one of the earliest indicators of disease in five different models of familial Parkinsonism is synaptic dysfunction in higher-order cholinergic projection neurons and this contributes to the development of hyposmia. Furthermore, the shared pathways of synaptic failure in these cholinergic neurons ultimately contribute to dopaminergic dysfunction later in life.