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Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock

The circadian clock of the nocturnal Madeira cockroach is located in the accessory medulla, a small nonretinotopic neuropil in the brain’s visual system. The clock comprises about 240 neurons that control rhythms in physiology and behavior such as sleep-wake cycles. The clock neurons contain an abun...

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Autores principales: Rojas, Pablo, Plath, Jenny A., Gestrich, Julia, Ananthasubramaniam, Bharath, Garcia, Martin E., Herzel, Hanspeter, Stengl, Monika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777951/
https://www.ncbi.nlm.nih.gov/pubmed/31637333
http://dx.doi.org/10.1162/netn_a_00106
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author Rojas, Pablo
Plath, Jenny A.
Gestrich, Julia
Ananthasubramaniam, Bharath
Garcia, Martin E.
Herzel, Hanspeter
Stengl, Monika
author_facet Rojas, Pablo
Plath, Jenny A.
Gestrich, Julia
Ananthasubramaniam, Bharath
Garcia, Martin E.
Herzel, Hanspeter
Stengl, Monika
author_sort Rojas, Pablo
collection PubMed
description The circadian clock of the nocturnal Madeira cockroach is located in the accessory medulla, a small nonretinotopic neuropil in the brain’s visual system. The clock comprises about 240 neurons that control rhythms in physiology and behavior such as sleep-wake cycles. The clock neurons contain an abundant number of partly colocalized neuropeptides, among them pigment-dispersing factor (PDF), the insects’ most important circadian coupling signal that controls sleep-wake rhythms. We performed long-term loose-patch clamp recordings under 12:12-hr light-dark cycles in the cockroach clock in vivo. A wide range of timescales, from milliseconds to seconds, were found in spike and field potential patterns. We developed a framework of wavelet transform–based methods to detect these multiscale electrical events. We analyzed frequencies and patterns of events with interesting dynamic features, such as mixed-mode oscillations reminiscent of sharp-wave ripples. Oscillations in the beta/gamma frequency range (20–40 Hz) were observed to rise at dawn, when PDF is released, peaking just before the onset of locomotor activity of the nocturnal cockroach. We expect that in vivo electrophysiological recordings combined with neuropeptide/antagonist applications and behavioral analysis will determine whether specific patterns of electrical activity recorded in the network of the cockroach circadian clock are causally related to neuropeptide-dependent control of behavior.
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spelling pubmed-67779512019-10-21 Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock Rojas, Pablo Plath, Jenny A. Gestrich, Julia Ananthasubramaniam, Bharath Garcia, Martin E. Herzel, Hanspeter Stengl, Monika Netw Neurosci Focus Feature: Linking Experimental and Computational Connectomics The circadian clock of the nocturnal Madeira cockroach is located in the accessory medulla, a small nonretinotopic neuropil in the brain’s visual system. The clock comprises about 240 neurons that control rhythms in physiology and behavior such as sleep-wake cycles. The clock neurons contain an abundant number of partly colocalized neuropeptides, among them pigment-dispersing factor (PDF), the insects’ most important circadian coupling signal that controls sleep-wake rhythms. We performed long-term loose-patch clamp recordings under 12:12-hr light-dark cycles in the cockroach clock in vivo. A wide range of timescales, from milliseconds to seconds, were found in spike and field potential patterns. We developed a framework of wavelet transform–based methods to detect these multiscale electrical events. We analyzed frequencies and patterns of events with interesting dynamic features, such as mixed-mode oscillations reminiscent of sharp-wave ripples. Oscillations in the beta/gamma frequency range (20–40 Hz) were observed to rise at dawn, when PDF is released, peaking just before the onset of locomotor activity of the nocturnal cockroach. We expect that in vivo electrophysiological recordings combined with neuropeptide/antagonist applications and behavioral analysis will determine whether specific patterns of electrical activity recorded in the network of the cockroach circadian clock are causally related to neuropeptide-dependent control of behavior. MIT Press 2019-09-01 /pmc/articles/PMC6777951/ /pubmed/31637333 http://dx.doi.org/10.1162/netn_a_00106 Text en © 2019 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Focus Feature: Linking Experimental and Computational Connectomics
Rojas, Pablo
Plath, Jenny A.
Gestrich, Julia
Ananthasubramaniam, Bharath
Garcia, Martin E.
Herzel, Hanspeter
Stengl, Monika
Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title_full Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title_fullStr Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title_full_unstemmed Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title_short Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
title_sort beyond spikes: multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock
topic Focus Feature: Linking Experimental and Computational Connectomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777951/
https://www.ncbi.nlm.nih.gov/pubmed/31637333
http://dx.doi.org/10.1162/netn_a_00106
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