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Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit

Oscillations are omnipresent in neural population signals, like multi-unit recordings, EEG/MEG, and the local field potential. They have been linked to the population firing rate of neurons, with individual neurons firing in a close-to-irregular fashion at low rates. Using a combination of mean-fiel...

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Autores principales: Bos, Hannah, Diesmann, Markus, Helias, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063581/
https://www.ncbi.nlm.nih.gov/pubmed/27736873
http://dx.doi.org/10.1371/journal.pcbi.1005132
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author Bos, Hannah
Diesmann, Markus
Helias, Moritz
author_facet Bos, Hannah
Diesmann, Markus
Helias, Moritz
author_sort Bos, Hannah
collection PubMed
description Oscillations are omnipresent in neural population signals, like multi-unit recordings, EEG/MEG, and the local field potential. They have been linked to the population firing rate of neurons, with individual neurons firing in a close-to-irregular fashion at low rates. Using a combination of mean-field and linear response theory we predict the spectra generated in a layered microcircuit model of V1, composed of leaky integrate-and-fire neurons and based on connectivity compiled from anatomical and electrophysiological studies. The model exhibits low- and high-γ oscillations visible in all populations. Since locally generated frequencies are imposed onto other populations, the origin of the oscillations cannot be deduced from the spectra. We develop an universally applicable systematic approach that identifies the anatomical circuits underlying the generation of oscillations in a given network. Based on a theoretical reduction of the dynamics, we derive a sensitivity measure resulting in a frequency-dependent connectivity map that reveals connections crucial for the peak amplitude and frequency of the observed oscillations and identifies the minimal circuit generating a given frequency. The low-γ peak turns out to be generated in a sub-circuit located in layer 2/3 and 4, while the high-γ peak emerges from the inter-neurons in layer 4. Connections within and onto layer 5 are found to regulate slow rate fluctuations. We further demonstrate how small perturbations of the crucial connections have significant impact on the population spectra, while the impairment of other connections leaves the dynamics on the population level unaltered. The study uncovers connections where mechanisms controlling the spectra of the cortical microcircuit are most effective.
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spelling pubmed-50635812016-11-04 Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit Bos, Hannah Diesmann, Markus Helias, Moritz PLoS Comput Biol Research Article Oscillations are omnipresent in neural population signals, like multi-unit recordings, EEG/MEG, and the local field potential. They have been linked to the population firing rate of neurons, with individual neurons firing in a close-to-irregular fashion at low rates. Using a combination of mean-field and linear response theory we predict the spectra generated in a layered microcircuit model of V1, composed of leaky integrate-and-fire neurons and based on connectivity compiled from anatomical and electrophysiological studies. The model exhibits low- and high-γ oscillations visible in all populations. Since locally generated frequencies are imposed onto other populations, the origin of the oscillations cannot be deduced from the spectra. We develop an universally applicable systematic approach that identifies the anatomical circuits underlying the generation of oscillations in a given network. Based on a theoretical reduction of the dynamics, we derive a sensitivity measure resulting in a frequency-dependent connectivity map that reveals connections crucial for the peak amplitude and frequency of the observed oscillations and identifies the minimal circuit generating a given frequency. The low-γ peak turns out to be generated in a sub-circuit located in layer 2/3 and 4, while the high-γ peak emerges from the inter-neurons in layer 4. Connections within and onto layer 5 are found to regulate slow rate fluctuations. We further demonstrate how small perturbations of the crucial connections have significant impact on the population spectra, while the impairment of other connections leaves the dynamics on the population level unaltered. The study uncovers connections where mechanisms controlling the spectra of the cortical microcircuit are most effective. Public Library of Science 2016-10-13 /pmc/articles/PMC5063581/ /pubmed/27736873 http://dx.doi.org/10.1371/journal.pcbi.1005132 Text en © 2016 Bos et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Bos, Hannah
Diesmann, Markus
Helias, Moritz
Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title_full Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title_fullStr Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title_full_unstemmed Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title_short Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit
title_sort identifying anatomical origins of coexisting oscillations in the cortical microcircuit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063581/
https://www.ncbi.nlm.nih.gov/pubmed/27736873
http://dx.doi.org/10.1371/journal.pcbi.1005132
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