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Mapping circuit dynamics during function and dysfunction
Neural circuits can generate many spike patterns, but only some are functional. The study of how circuits generate and maintain functional dynamics is hindered by a poverty of description of circuit dynamics across functional and dysfunctional states. For example, although the regular oscillation of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000962/ https://www.ncbi.nlm.nih.gov/pubmed/35302489 http://dx.doi.org/10.7554/eLife.76579 |
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author | Gorur-Shandilya, Srinivas Cronin, Elizabeth M Schneider, Anna C Haddad, Sara Ann Rosenbaum, Philipp Bucher, Dirk Nadim, Farzan Marder, Eve |
author_facet | Gorur-Shandilya, Srinivas Cronin, Elizabeth M Schneider, Anna C Haddad, Sara Ann Rosenbaum, Philipp Bucher, Dirk Nadim, Farzan Marder, Eve |
author_sort | Gorur-Shandilya, Srinivas |
collection | PubMed |
description | Neural circuits can generate many spike patterns, but only some are functional. The study of how circuits generate and maintain functional dynamics is hindered by a poverty of description of circuit dynamics across functional and dysfunctional states. For example, although the regular oscillation of a central pattern generator is well characterized by its frequency and the phase relationships between its neurons, these metrics are ineffective descriptors of the irregular and aperiodic dynamics that circuits can generate under perturbation or in disease states. By recording the circuit dynamics of the well-studied pyloric circuit in Cancer borealis, we used statistical features of spike times from neurons in the circuit to visualize the spike patterns generated by this circuit under a variety of conditions. This approach captures both the variability of functional rhythms and the diversity of atypical dynamics in a single map. Clusters in the map identify qualitatively different spike patterns hinting at different dynamic states in the circuit. State probability and the statistics of the transitions between states varied with environmental perturbations, removal of descending neuromodulatory inputs, and the addition of exogenous neuromodulators. This analysis reveals strong mechanistically interpretable links between complex changes in the collective behavior of a neural circuit and specific experimental manipulations, and can constrain hypotheses of how circuits generate functional dynamics despite variability in circuit architecture and environmental perturbations. |
format | Online Article Text |
id | pubmed-9000962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-90009622022-04-12 Mapping circuit dynamics during function and dysfunction Gorur-Shandilya, Srinivas Cronin, Elizabeth M Schneider, Anna C Haddad, Sara Ann Rosenbaum, Philipp Bucher, Dirk Nadim, Farzan Marder, Eve eLife Computational and Systems Biology Neural circuits can generate many spike patterns, but only some are functional. The study of how circuits generate and maintain functional dynamics is hindered by a poverty of description of circuit dynamics across functional and dysfunctional states. For example, although the regular oscillation of a central pattern generator is well characterized by its frequency and the phase relationships between its neurons, these metrics are ineffective descriptors of the irregular and aperiodic dynamics that circuits can generate under perturbation or in disease states. By recording the circuit dynamics of the well-studied pyloric circuit in Cancer borealis, we used statistical features of spike times from neurons in the circuit to visualize the spike patterns generated by this circuit under a variety of conditions. This approach captures both the variability of functional rhythms and the diversity of atypical dynamics in a single map. Clusters in the map identify qualitatively different spike patterns hinting at different dynamic states in the circuit. State probability and the statistics of the transitions between states varied with environmental perturbations, removal of descending neuromodulatory inputs, and the addition of exogenous neuromodulators. This analysis reveals strong mechanistically interpretable links between complex changes in the collective behavior of a neural circuit and specific experimental manipulations, and can constrain hypotheses of how circuits generate functional dynamics despite variability in circuit architecture and environmental perturbations. eLife Sciences Publications, Ltd 2022-03-18 /pmc/articles/PMC9000962/ /pubmed/35302489 http://dx.doi.org/10.7554/eLife.76579 Text en © 2022, Gorur-Shandilya 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 | Computational and Systems Biology Gorur-Shandilya, Srinivas Cronin, Elizabeth M Schneider, Anna C Haddad, Sara Ann Rosenbaum, Philipp Bucher, Dirk Nadim, Farzan Marder, Eve Mapping circuit dynamics during function and dysfunction |
title | Mapping circuit dynamics during function and dysfunction |
title_full | Mapping circuit dynamics during function and dysfunction |
title_fullStr | Mapping circuit dynamics during function and dysfunction |
title_full_unstemmed | Mapping circuit dynamics during function and dysfunction |
title_short | Mapping circuit dynamics during function and dysfunction |
title_sort | mapping circuit dynamics during function and dysfunction |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000962/ https://www.ncbi.nlm.nih.gov/pubmed/35302489 http://dx.doi.org/10.7554/eLife.76579 |
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