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Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice

Optogenetically evoked local field potential (LFP) recorded from the medial prefrontal cortex (mPFC) of mice during basal conditions and following a systemic cocaine administration were analyzed. Blue light stimuli were delivered to mPFC through a fiber optic every 2 s and each trial was repeated 10...

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Autores principales: Oprisan, Sorinel A., Imperatore, Julia, Helms, Jessica, Tompa, Tamas, Lavin, Antonieta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797774/
https://www.ncbi.nlm.nih.gov/pubmed/29445337
http://dx.doi.org/10.3389/fncom.2018.00002
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author Oprisan, Sorinel A.
Imperatore, Julia
Helms, Jessica
Tompa, Tamas
Lavin, Antonieta
author_facet Oprisan, Sorinel A.
Imperatore, Julia
Helms, Jessica
Tompa, Tamas
Lavin, Antonieta
author_sort Oprisan, Sorinel A.
collection PubMed
description Optogenetically evoked local field potential (LFP) recorded from the medial prefrontal cortex (mPFC) of mice during basal conditions and following a systemic cocaine administration were analyzed. Blue light stimuli were delivered to mPFC through a fiber optic every 2 s and each trial was repeated 100 times. As in the previous study, we used a surrogate data method to check that nonlinearity was present in the experimental LFPs and only used the last 1.5 s of steady activity to measure the LFPs phase resetting induced by the brief 10 ms light stimulus. We found that the steady dynamics of the mPFC in response to light stimuli could be reconstructed in a three-dimensional phase space with topologically similar “8”-shaped attractors across different animals. Therefore, cocaine did not change the complexity of the recorded nonlinear data compared to the control case. The phase space of the reconstructed attractor is determined by the LFP time series and its temporally shifted versions by a multiple of some lag time. We also compared the change in the attractor shape between cocaine-injected and control using (1) dendrogram clustering and (2) Frechet distance. We found about 20% overlap between control and cocaine trials when classified using dendrogram method, which suggest that it may be possible to describe mathematically both data sets with the same model and slightly different model parameters. We also found that the lag times are about three times shorter for cocaine trials compared to control. As a result, although the phase space trajectories for control and cocaine may look similar, their dynamics is significantly different.
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spelling pubmed-57977742018-02-14 Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice Oprisan, Sorinel A. Imperatore, Julia Helms, Jessica Tompa, Tamas Lavin, Antonieta Front Comput Neurosci Neuroscience Optogenetically evoked local field potential (LFP) recorded from the medial prefrontal cortex (mPFC) of mice during basal conditions and following a systemic cocaine administration were analyzed. Blue light stimuli were delivered to mPFC through a fiber optic every 2 s and each trial was repeated 100 times. As in the previous study, we used a surrogate data method to check that nonlinearity was present in the experimental LFPs and only used the last 1.5 s of steady activity to measure the LFPs phase resetting induced by the brief 10 ms light stimulus. We found that the steady dynamics of the mPFC in response to light stimuli could be reconstructed in a three-dimensional phase space with topologically similar “8”-shaped attractors across different animals. Therefore, cocaine did not change the complexity of the recorded nonlinear data compared to the control case. The phase space of the reconstructed attractor is determined by the LFP time series and its temporally shifted versions by a multiple of some lag time. We also compared the change in the attractor shape between cocaine-injected and control using (1) dendrogram clustering and (2) Frechet distance. We found about 20% overlap between control and cocaine trials when classified using dendrogram method, which suggest that it may be possible to describe mathematically both data sets with the same model and slightly different model parameters. We also found that the lag times are about three times shorter for cocaine trials compared to control. As a result, although the phase space trajectories for control and cocaine may look similar, their dynamics is significantly different. Frontiers Media S.A. 2018-01-31 /pmc/articles/PMC5797774/ /pubmed/29445337 http://dx.doi.org/10.3389/fncom.2018.00002 Text en Copyright © 2018 Oprisan, Imperatore, Helms, Tompa and Lavin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Oprisan, Sorinel A.
Imperatore, Julia
Helms, Jessica
Tompa, Tamas
Lavin, Antonieta
Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title_full Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title_fullStr Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title_full_unstemmed Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title_short Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice
title_sort cocaine-induced changes in low-dimensional attractors of local field potentials in optogenetic mice
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797774/
https://www.ncbi.nlm.nih.gov/pubmed/29445337
http://dx.doi.org/10.3389/fncom.2018.00002
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