Cargando…

Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors

Deciphering how the brain regulates motor circuits to control complex behaviors is an important, long-standing challenge in neuroscience. In the fly, Drosophila melanogaster, this is coordinated by a population of ~ 1100 descending neurons (DNs). Activating only a few DNs is known to be sufficient t...

Descripción completa

Detalles Bibliográficos
Autores principales: Aymanns, Florian, Chen, Chin-Lin, Ramdya, Pavan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605690/
https://www.ncbi.nlm.nih.gov/pubmed/36286408
http://dx.doi.org/10.7554/eLife.81527
_version_ 1784818128889315328
author Aymanns, Florian
Chen, Chin-Lin
Ramdya, Pavan
author_facet Aymanns, Florian
Chen, Chin-Lin
Ramdya, Pavan
author_sort Aymanns, Florian
collection PubMed
description Deciphering how the brain regulates motor circuits to control complex behaviors is an important, long-standing challenge in neuroscience. In the fly, Drosophila melanogaster, this is coordinated by a population of ~ 1100 descending neurons (DNs). Activating only a few DNs is known to be sufficient to drive complex behaviors like walking and grooming. However, what additional role the larger population of DNs plays during natural behaviors remains largely unknown. For example, they may modulate core behavioral commands or comprise parallel pathways that are engaged depending on sensory context. We evaluated these possibilities by recording populations of nearly 100 DNs in individual tethered flies while they generated limb-dependent behaviors, including walking and grooming. We found that the largest fraction of recorded DNs encode walking while fewer are active during head grooming and resting. A large fraction of walk-encoding DNs encode turning and far fewer weakly encode speed. Although odor context does not determine which behavior-encoding DNs are recruited, a few DNs encode odors rather than behaviors. Lastly, we illustrate how one can identify individual neurons from DN population recordings by using their spatial, functional, and morphological properties. These results set the stage for a comprehensive, population-level understanding of how the brain’s descending signals regulate complex motor actions.
format Online
Article
Text
id pubmed-9605690
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher eLife Sciences Publications, Ltd
record_format MEDLINE/PubMed
spelling pubmed-96056902022-10-27 Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors Aymanns, Florian Chen, Chin-Lin Ramdya, Pavan eLife Neuroscience Deciphering how the brain regulates motor circuits to control complex behaviors is an important, long-standing challenge in neuroscience. In the fly, Drosophila melanogaster, this is coordinated by a population of ~ 1100 descending neurons (DNs). Activating only a few DNs is known to be sufficient to drive complex behaviors like walking and grooming. However, what additional role the larger population of DNs plays during natural behaviors remains largely unknown. For example, they may modulate core behavioral commands or comprise parallel pathways that are engaged depending on sensory context. We evaluated these possibilities by recording populations of nearly 100 DNs in individual tethered flies while they generated limb-dependent behaviors, including walking and grooming. We found that the largest fraction of recorded DNs encode walking while fewer are active during head grooming and resting. A large fraction of walk-encoding DNs encode turning and far fewer weakly encode speed. Although odor context does not determine which behavior-encoding DNs are recruited, a few DNs encode odors rather than behaviors. Lastly, we illustrate how one can identify individual neurons from DN population recordings by using their spatial, functional, and morphological properties. These results set the stage for a comprehensive, population-level understanding of how the brain’s descending signals regulate complex motor actions. eLife Sciences Publications, Ltd 2022-10-26 /pmc/articles/PMC9605690/ /pubmed/36286408 http://dx.doi.org/10.7554/eLife.81527 Text en © 2022, Aymanns et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Aymanns, Florian
Chen, Chin-Lin
Ramdya, Pavan
Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title_full Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title_fullStr Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title_full_unstemmed Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title_short Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
title_sort descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605690/
https://www.ncbi.nlm.nih.gov/pubmed/36286408
http://dx.doi.org/10.7554/eLife.81527
work_keys_str_mv AT aymannsflorian descendingneuronpopulationdynamicsduringodorevokedandspontaneouslimbdependentbehaviors
AT chenchinlin descendingneuronpopulationdynamicsduringodorevokedandspontaneouslimbdependentbehaviors
AT ramdyapavan descendingneuronpopulationdynamicsduringodorevokedandspontaneouslimbdependentbehaviors