Literature DB >> 34323218

Decoding locomotion from population neural activity in moving C. elegans.

Kelsey M Hallinen1, Ross Dempsey1, Monika Scholz2, Xinwei Yu1, Ashley Linder3, Francesco Randi1, Anuj Kumar Sharma1, Joshua W Shaevitz4, Andrew Michael Leifer5.   

Abstract

We investigated the neural representation of locomotion in the nematode C. elegans by recording population calcium activity during movement. We report that population activity more accurately decodes locomotion than any single neuron. Relevant signals are distributed across neurons with diverse tunings to locomotion. Two largely distinct subpopulations are informative for decoding velocity and curvature, and different neurons' activities contribute features relevant for different aspects of a behavior or different instances of a behavioral motif. To validate our measurements, we labeled neurons AVAL and AVAR and found that their activity exhibited expected transients during backward locomotion. Finally, we compared population activity during movement and immobilization. Immobilization alters the correlation structure of neural activity and its dynamics. Some neurons positively correlated with AVA during movement become negatively correlated during immobilization and vice versa. This work provides needed experimental measurements that inform and constrain ongoing efforts to understand population dynamics underlying locomotion in C. elegans.
© 2021, Hallinen et al.

Entities:  

Keywords:  C. elegans; neuroscience; physics of living systems

Year:  2021        PMID: 34323218     DOI: 10.7554/eLife.66135

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  10 in total

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Authors:  Ni Ji; Gurrein K Madan; Guadalupe I Fabre; Alyssa Dayan; Casey M Baker; Talya S Kramer; Ijeoma Nwabudike; Steven W Flavell
Journal:  Elife       Date:  2021-11-18       Impact factor: 8.140

Review 2.  Neural mechanisms underlying the temporal organization of naturalistic animal behavior.

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Review 3.  The emergence and influence of internal states.

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Review 4.  Large-scale neural recordings call for new insights to link brain and behavior.

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5.  Discovering sparse control strategies in neural activity.

Authors:  Edward D Lee; Xiaowen Chen; Bryan C Daniels
Journal:  PLoS Comput Biol       Date:  2022-05-27       Impact factor: 4.779

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Journal:  iScience       Date:  2022-05-23

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Journal:  Methods Mol Biol       Date:  2022

8.  Correcting motion induced fluorescence artifacts in two-channel neural imaging.

Authors:  Matthew S Creamer; Kevin S Chen; Andrew M Leifer; Jonathan W Pillow
Journal:  PLoS Comput Biol       Date:  2022-09-28       Impact factor: 4.779

9.  Methods for analyzing neuronal structure and activity in Caenorhabditis elegans.

Authors:  Scott W Emmons; Eviatar Yemini; Manuel Zimmer
Journal:  Genetics       Date:  2021-08-09       Impact factor: 4.562

10.  Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training.

Authors:  Xinwei Yu; Matthew S Creamer; Francesco Randi; Anuj K Sharma; Scott W Linderman; Andrew M Leifer
Journal:  Elife       Date:  2021-07-14       Impact factor: 8.713

  10 in total

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