Revealing a novel nociceptive network that links the subthalamic nucleus to pain processing

  1. Arnaud Pautrat
  2. Marta Rolland
  3. Margaux Barthelemy
  4. Christelle Baunez
  5. Valérie Sinniger
  6. Brigitte Piallat
  7. Marc Savasta
  8. Paul G Overton
  9. Olivier David
  10. Veronique Coizet  Is a corresponding author
  1. INSERM, France
  2. Aix-Marseille Université, France
  3. University Grenoble Alpes, France
  4. University of Sheffield, United Kingdom

Abstract

Pain is a prevalent symptom of Parkinson's disease, and is effectively treated by deep brain stimulation of the subthalamic nucleus (STN). However, the link between pain and the STN remains unclear. In the present work, we report that STN neurons exhibit complex tonic and phasic responses to noxious stimuli using in vivo electrophysiology in rats. We also show that nociception is altered following lesions of the STN, and characterize the role of the superior colliculus and the parabrachial nucleus in the transmission of nociceptive information to the STN, physiologically from both structures and anatomically in the case of the parabrachial nucleus. We show that STN nociceptive responses are abnormal in a rat model of PD, suggesting their dependence on the integrity of the nigrostriatal dopaminergic system. The STN-linked nociceptive network we reveal is likely to be of considerable clinical importance in neurological diseases involving a dysfunction of the basal ganglia.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Matlab scripts used to analyse the data are freely available on the ImaGIN platform website (https://f-tract.eu/software/imagin/).

Article and author information

Author details

  1. Arnaud Pautrat

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  2. Marta Rolland

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  3. Margaux Barthelemy

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Christelle Baunez

    Institut de Neurosciences Timone UMR7289, Aix-Marseille Université, Marseille, France
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4368-652X
  5. Valérie Sinniger

    Grenoble Institute of Neurosciences, University Grenoble Alpes, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  6. Brigitte Piallat

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  7. Marc Savasta

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  8. Paul G Overton

    Department of Psychology, University of Sheffield, Sheffield, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  9. Olivier David

    U1216, INSERM, Grenoble, France
    Competing interests
    The authors declare that no competing interests exist.
  10. Veronique Coizet

    U1216, INSERM, Grenoble, France
    For correspondence
    veronique.coizet@univ-grenoble-alpes.fr
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5192-6610

Funding

Institut National de la Santé et de la Recherche Médicale

  • Veronique Coizet

ADR Région Rhône Alpes

  • Veronique Coizet

UGA AGIR-POLE

  • Veronique Coizet

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

Ethics

Animal experimentation: In accordance with the policy of Lyon1 University, the Grenoble Institut des Neurosciences (GIN) and the French legislation, experiments were done in compliance with the European Community Council Directive of November 24, 1986 (86/609/EEC). The research was authorized by the Direction Départementale des Services Vétérinaires de l'Isère - Ministère de l'Agriculture et de la Pêche, France (Coizet Véronique, PhD, permit number 381003). Every effort was made to minimize the number of animals used and their suffering during the experimental procedure. All procedures were reviewed and validated by the ""Comité éthique du GIN no 004"" agreed by the research ministry (permits number 309 and 310).

Reviewing Editor

  1. Peggy Mason, University of Chicago, United States

Publication history

  1. Received: March 13, 2018
  2. Accepted: August 6, 2018
  3. Accepted Manuscript published: August 28, 2018 (version 1)
  4. Version of Record published: September 13, 2018 (version 2)

Copyright

© 2018, Pautrat 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

  • 2,611
    Page views
  • 437
    Downloads
  • 17
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

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. Arnaud Pautrat
  2. Marta Rolland
  3. Margaux Barthelemy
  4. Christelle Baunez
  5. Valérie Sinniger
  6. Brigitte Piallat
  7. Marc Savasta
  8. Paul G Overton
  9. Olivier David
  10. Veronique Coizet
(2018)
Revealing a novel nociceptive network that links the subthalamic nucleus to pain processing
eLife 7:e36607.
https://doi.org/10.7554/eLife.36607

Further reading

    1. Neuroscience
    Abraham Katzen, Hui-Kuan Chung ... Shawn R Lockery
    Research Article Updated

    In value-based decision making, options are selected according to subjective values assigned by the individual to available goods and actions. Despite the importance of this faculty of the mind, the neural mechanisms of value assignments, and how choices are directed by them, remain obscure. To investigate this problem, we used a classic measure of utility maximization, the Generalized Axiom of Revealed Preference, to quantify internal consistency of food preferences in Caenorhabditis elegans, a nematode worm with a nervous system of only 302 neurons. Using a novel combination of microfluidics and electrophysiology, we found that C. elegans food choices fulfill the necessary and sufficient conditions for utility maximization, indicating that nematodes behave as if they maintain, and attempt to maximize, an underlying representation of subjective value. Food choices are well-fit by a utility function widely used to model human consumers. Moreover, as in many other animals, subjective values in C. elegans are learned, a process we find requires intact dopamine signaling. Differential responses of identified chemosensory neurons to foods with distinct growth potentials are amplified by prior consumption of these foods, suggesting that these neurons may be part of a value-assignment system. The demonstration of utility maximization in an organism with a very small nervous system sets a new lower bound on the computational requirements for utility maximization and offers the prospect of an essentially complete explanation of value-based decision making at single neuron resolution in this organism.

    1. Neuroscience
    Yuan-hao Wu, Ella Podvalny, Biyu J He
    Research Article Updated

    While there is a wealth of knowledge about core object recognition—our ability to recognize clear, high-contrast object images—how the brain accomplishes object recognition tasks under increased uncertainty remains poorly understood. We investigated the spatiotemporal neural dynamics underlying object recognition under increased uncertainty by combining MEG and 7 Tesla (7T) fMRI in humans during a threshold-level object recognition task. We observed an early, parallel rise of recognition-related signals across ventral visual and frontoparietal regions that preceded the emergence of category-related information. Recognition-related signals in ventral visual regions were best explained by a two-state representational format whereby brain activity bifurcated for recognized and unrecognized images. By contrast, recognition-related signals in frontoparietal regions exhibited a reduced representational space for recognized images, yet with sharper category information. These results provide a spatiotemporally resolved view of neural activity supporting object recognition under uncertainty, revealing a pattern distinct from that underlying core object recognition.