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A Multimodal Perspective on the Composition of Cortical Oscillations

An expanding corpus of research details the relationship between functional magnetic resonance imaging (fMRI) measures and neuronal network oscillations. Typically, integrated electroencephalography and fMRI, or parallel magnetoencephalography (MEG) and fMRI are used to draw inference about the cons...

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Autores principales: Ronnqvist, Kim C., McAllister, Craig J., Woodhall, Gavin L., Stanford, Ian M., Hall, Stephen D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3622074/
https://www.ncbi.nlm.nih.gov/pubmed/23596405
http://dx.doi.org/10.3389/fnhum.2013.00132
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author Ronnqvist, Kim C.
McAllister, Craig J.
Woodhall, Gavin L.
Stanford, Ian M.
Hall, Stephen D.
author_facet Ronnqvist, Kim C.
McAllister, Craig J.
Woodhall, Gavin L.
Stanford, Ian M.
Hall, Stephen D.
author_sort Ronnqvist, Kim C.
collection PubMed
description An expanding corpus of research details the relationship between functional magnetic resonance imaging (fMRI) measures and neuronal network oscillations. Typically, integrated electroencephalography and fMRI, or parallel magnetoencephalography (MEG) and fMRI are used to draw inference about the consanguinity of BOLD and electrical measurements. However, there is a relative dearth of information about the relationship between E/MEG and the focal networks from which these signals emanate. Consequently, the genesis and composition of E/MEG oscillations requires further clarification. Here we aim to contribute to understanding through a series of parallel measurements of primary motor cortex (M1) oscillations, using human MEG and in vitro rodent local field potentials. We compare spontaneous activity in the ∼10 Hz mu and 15–30 Hz beta frequency ranges and compare MEG signals with independent and integrated layers III and V (LIII/LV) from in vitro recordings. We explore the mechanisms of oscillatory generation, using specific pharmacological modulation with the GABA-A alpha-1 subunit modulator zolpidem. Finally, to determine the contribution of cortico-cortical connectivity, we recorded in vitro M1, during an incision to sever lateral connections between M1 and S1 cortices. We demonstrate that frequency distribution of MEG signals appear have closer statistically similarity with signals from integrated rather than independent LIII/LV laminae. GABAergic modulation in both modalities elicited comparable changes in the power of the beta band. Finally, cortico-cortical connectivity in sensorimotor cortex (SMC) appears to directly influence the power of the mu rhythm in LIII. These findings suggest that the MEG signal is an amalgam of outputs from LIII and LV, that multiple frequencies can arise from the same cortical area and that in vitro and MEG M1 oscillations are driven by comparable mechanisms. Finally, cortico-cortical connectivity is reflected in the power of the SMC mu rhythm.
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spelling pubmed-36220742013-04-17 A Multimodal Perspective on the Composition of Cortical Oscillations Ronnqvist, Kim C. McAllister, Craig J. Woodhall, Gavin L. Stanford, Ian M. Hall, Stephen D. Front Hum Neurosci Neuroscience An expanding corpus of research details the relationship between functional magnetic resonance imaging (fMRI) measures and neuronal network oscillations. Typically, integrated electroencephalography and fMRI, or parallel magnetoencephalography (MEG) and fMRI are used to draw inference about the consanguinity of BOLD and electrical measurements. However, there is a relative dearth of information about the relationship between E/MEG and the focal networks from which these signals emanate. Consequently, the genesis and composition of E/MEG oscillations requires further clarification. Here we aim to contribute to understanding through a series of parallel measurements of primary motor cortex (M1) oscillations, using human MEG and in vitro rodent local field potentials. We compare spontaneous activity in the ∼10 Hz mu and 15–30 Hz beta frequency ranges and compare MEG signals with independent and integrated layers III and V (LIII/LV) from in vitro recordings. We explore the mechanisms of oscillatory generation, using specific pharmacological modulation with the GABA-A alpha-1 subunit modulator zolpidem. Finally, to determine the contribution of cortico-cortical connectivity, we recorded in vitro M1, during an incision to sever lateral connections between M1 and S1 cortices. We demonstrate that frequency distribution of MEG signals appear have closer statistically similarity with signals from integrated rather than independent LIII/LV laminae. GABAergic modulation in both modalities elicited comparable changes in the power of the beta band. Finally, cortico-cortical connectivity in sensorimotor cortex (SMC) appears to directly influence the power of the mu rhythm in LIII. These findings suggest that the MEG signal is an amalgam of outputs from LIII and LV, that multiple frequencies can arise from the same cortical area and that in vitro and MEG M1 oscillations are driven by comparable mechanisms. Finally, cortico-cortical connectivity is reflected in the power of the SMC mu rhythm. Frontiers Media S.A. 2013-04-10 /pmc/articles/PMC3622074/ /pubmed/23596405 http://dx.doi.org/10.3389/fnhum.2013.00132 Text en Copyright © 2013 Ronnqvist, McAllister, Woodhall, Stanford and Hall. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Ronnqvist, Kim C.
McAllister, Craig J.
Woodhall, Gavin L.
Stanford, Ian M.
Hall, Stephen D.
A Multimodal Perspective on the Composition of Cortical Oscillations
title A Multimodal Perspective on the Composition of Cortical Oscillations
title_full A Multimodal Perspective on the Composition of Cortical Oscillations
title_fullStr A Multimodal Perspective on the Composition of Cortical Oscillations
title_full_unstemmed A Multimodal Perspective on the Composition of Cortical Oscillations
title_short A Multimodal Perspective on the Composition of Cortical Oscillations
title_sort multimodal perspective on the composition of cortical oscillations
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3622074/
https://www.ncbi.nlm.nih.gov/pubmed/23596405
http://dx.doi.org/10.3389/fnhum.2013.00132
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