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Mapping circuit dynamics during function and dysfunction

View ORCID ProfileSrinivas Gorur-Shandilya, Elizabeth M. Cronin, Anna C. Schneider, Sara Ann Haddad, Philipp Rosenbaum, Dirk Bucher, Farzan Nadim, View ORCID ProfileEve Marder
doi: https://doi.org/10.1101/2021.07.06.451370
Srinivas Gorur-Shandilya
1Volen Center and Biology Department, Brandeis University, Waltham MA 02454 USA
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  • ORCID record for Srinivas Gorur-Shandilya
Elizabeth M. Cronin
2Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, 323 Martin Luther King Blvd, Newark, NJ 07102
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Anna C. Schneider
2Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, 323 Martin Luther King Blvd, Newark, NJ 07102
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Sara Ann Haddad
1Volen Center and Biology Department, Brandeis University, Waltham MA 02454 USA
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Philipp Rosenbaum
1Volen Center and Biology Department, Brandeis University, Waltham MA 02454 USA
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Dirk Bucher
2Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, 323 Martin Luther King Blvd, Newark, NJ 07102
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Farzan Nadim
2Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, 323 Martin Luther King Blvd, Newark, NJ 07102
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Eve Marder
1Volen Center and Biology Department, Brandeis University, Waltham MA 02454 USA
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  • ORCID record for Eve Marder
  • For correspondence: marder@brandeis.edu
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Abstract

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 C. 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 unsupervised 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 dynamical states in the circuit. State probability and the statistics of the transitions between states varied with environmental perturbations, removal of descending neuromodulation, 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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 07, 2021.
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Mapping circuit dynamics during function and dysfunction
Srinivas Gorur-Shandilya, Elizabeth M. Cronin, Anna C. Schneider, Sara Ann Haddad, Philipp Rosenbaum, Dirk Bucher, Farzan Nadim, Eve Marder
bioRxiv 2021.07.06.451370; doi: https://doi.org/10.1101/2021.07.06.451370
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Mapping circuit dynamics during function and dysfunction
Srinivas Gorur-Shandilya, Elizabeth M. Cronin, Anna C. Schneider, Sara Ann Haddad, Philipp Rosenbaum, Dirk Bucher, Farzan Nadim, Eve Marder
bioRxiv 2021.07.06.451370; doi: https://doi.org/10.1101/2021.07.06.451370

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