Probabilistic, spinally-gated control of bladder pressure and autonomous micturition by Barrington's nucleus CRH neurons

  1. Hiroki Ito
  2. Anna C Sales  Is a corresponding author
  3. Christopher H Fry
  4. Anthony J Kanai
  5. Marcus J Drake
  6. Anthony E Pickering  Is a corresponding author
  1. University of Bristol, United Kingdom
  2. University of Pittsburgh, United States

Abstract

Micturition requires precise control of bladder and urethral sphincter via parasympathetic, sympathetic and somatic motoneurons. This involves a spino-bulbospinal control circuit incorporating Barrington's nucleus in the pons (Barr). Ponto-spinal glutamatergic neurons that express corticotrophin-releasing hormone (CRH) form one of the largest Barr cell populations. BarrCRH neurons can generate bladder contractions, but it is unknown whether they act as a simple switch or provide a high-fidelity pre-parasympathetic motor drive and whether their activation can actually trigger voids. Combined opto- and chemo-genetic manipulations along with multisite extracellular recordings in urethane anaesthetised CRHCre mice show that BarrCRH neurons provide a probabilistic drive that generates co-ordinated voids or non-voiding contractions depending on the phase of the micturition cycle. CRH itself provides negative feedback regulation of this process. These findings inform a new inferential model of autonomous micturition and emphasise the importance of the state of the spinal gating circuit in the generation of voiding.

Data availability

The data generated during this study are included either in the manuscript, in supporting files, or in the dataset deposited at the University of Bristol Research Data Repository at DOI:10.5523/bris.20l920gl27ufi204brn8ilonsf uk/data/.

The following data sets were generated
    1. Pickering A
    2. Sales A
    3. Ito H
    (2019) Ito, Sales et al 2019 Example BarrCRH recordings and analysis / model code
    University of Bristol Research Data Repository DOI:10.5523/bris.20l920gl27ufi204brn8ilonsf uk/data/.

Article and author information

Author details

  1. Hiroki Ito

    School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Anna C Sales

    School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
    For correspondence
    anna.sales@bristol.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8585-3763
  3. Christopher H Fry

    School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Anthony J Kanai

    Department of Medicine, Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Marcus J Drake

    School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  6. Anthony E Pickering

    School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
    For correspondence
    tony.pickering@bristol.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0345-0456

Funding

National Institutes of Health (R01 DK098361)

  • Christopher H Fry
  • Anthony J Kanai
  • Marcus J Drake
  • Anthony E Pickering

Wellcome (108899/Z/15)

  • Anna C Sales

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

Reviewing Editor

  1. Bernardo L Sabatini, Howard Hughes Medical Institute, Harvard Medical School, United States

Ethics

Animal experimentation: All experiments and procedures conformed to the UK Animals (Scientific Procedures) Act 1986 and were approved by the University of Bristol Animal Welfare and Ethical review body. licence (PPL3003362).

Version history

  1. Received: March 3, 2020
  2. Accepted: April 28, 2020
  3. Accepted Manuscript published: April 29, 2020 (version 1)
  4. Version of Record published: May 12, 2020 (version 2)

Copyright

© 2020, Ito 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

  • 1,889
    views
  • 326
    downloads
  • 18
    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. Hiroki Ito
  2. Anna C Sales
  3. Christopher H Fry
  4. Anthony J Kanai
  5. Marcus J Drake
  6. Anthony E Pickering
(2020)
Probabilistic, spinally-gated control of bladder pressure and autonomous micturition by Barrington's nucleus CRH neurons
eLife 9:e56605.
https://doi.org/10.7554/eLife.56605

Share this article

https://doi.org/10.7554/eLife.56605

Further reading

    1. Neuroscience
    John J Stout, Allison E George ... Amy L Griffin
    Research Article

    Functional interactions between the prefrontal cortex and hippocampus, as revealed by strong oscillatory synchronization in the theta (6–11 Hz) frequency range, correlate with memory-guided decision-making. However, the degree to which this form of long-range synchronization influences memory-guided choice remains unclear. We developed a brain-machine interface that initiated task trials based on the magnitude of prefrontal-hippocampal theta synchronization, then measured choice outcomes. Trials initiated based on strong prefrontal-hippocampal theta synchrony were more likely to be correct compared to control trials on both working memory-dependent and -independent tasks. Prefrontal-thalamic neural interactions increased with prefrontal-hippocampal synchrony and optogenetic activation of the ventral midline thalamus primarily entrained prefrontal theta rhythms, but dynamically modulated synchrony. Together, our results show that prefrontal-hippocampal theta synchronization leads to a higher probability of a correct choice and strengthens prefrontal-thalamic dialogue. Our findings reveal new insights into the neural circuit dynamics underlying memory-guided choices and highlight a promising technique to potentiate cognitive processes or behavior via brain-machine interfacing.

    1. Neuroscience
    Tianhao Chu, Zilong Ji ... Si Wu
    Research Article

    Hippocampal place cells in freely moving rodents display both theta phase precession and procession, which is thought to play important roles in cognition, but the neural mechanism for producing theta phase shift remains largely unknown. Here, we show that firing rate adaptation within a continuous attractor neural network causes the neural activity bump to oscillate around the external input, resembling theta sweeps of decoded position during locomotion. These forward and backward sweeps naturally account for theta phase precession and procession of individual neurons, respectively. By tuning the adaptation strength, our model explains the difference between ‘bimodal cells’ showing interleaved phase precession and procession, and ‘unimodal cells’ in which phase precession predominates. Our model also explains the constant cycling of theta sweeps along different arms in a T-maze environment, the speed modulation of place cells’ firing frequency, and the continued phase shift after transient silencing of the hippocampus. We hope that this study will aid an understanding of the neural mechanism supporting theta phase coding in the brain.