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On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity

Correlations between fluctuations in resting state BOLD fMRI signals are interpreted as measures of functional connectivity (FC), but the neural basis of their origins and their relationships to specific features of underlying electrophysiologic activity, have not been fully established. In particul...

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Autores principales: Shi, Zhaoyue, Wilkes, Don M., Yang, Pai-Feng, Wang, Feng, Wu, Ruiqi, Wu, Tung-Lin, Chen, Li Min, Gore, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586888/
https://www.ncbi.nlm.nih.gov/pubmed/31222020
http://dx.doi.org/10.1038/s41598-019-45404-8
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author Shi, Zhaoyue
Wilkes, Don M.
Yang, Pai-Feng
Wang, Feng
Wu, Ruiqi
Wu, Tung-Lin
Chen, Li Min
Gore, John C.
author_facet Shi, Zhaoyue
Wilkes, Don M.
Yang, Pai-Feng
Wang, Feng
Wu, Ruiqi
Wu, Tung-Lin
Chen, Li Min
Gore, John C.
author_sort Shi, Zhaoyue
collection PubMed
description Correlations between fluctuations in resting state BOLD fMRI signals are interpreted as measures of functional connectivity (FC), but the neural basis of their origins and their relationships to specific features of underlying electrophysiologic activity, have not been fully established. In particular, the dependence of FC metrics on different frequency bands of local field potentials (LFPs), and the relationship of dynamic changes in BOLD FC to underlying temporal variations of LFP correlations, are not known. We compared the spatial profiles of resting state coherences of different frequency bands of LFP signals, with high resolution resting state BOLD FC measurements. We also compared the probability distributions of temporal variations of connectivity in both modalities using a Markov chain model-based approach. We analyzed data obtained from the primary somatosensory (S1) cortex of monkeys. We found that in areas 3b and 1 of S1 cortex, low frequency LFP signal fluctuations were the main contributions to resting state LFP coherence. Additionally, the dynamic changes of BOLD FC behaved most similarly to the LFP low frequency signal coherence. These results indicate that, within the S1 cortex meso-scale circuit studied, resting state FC measures from BOLD fMRI mainly reflect contributions from low frequency LFP signals and their dynamic changes.
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spelling pubmed-65868882019-06-27 On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity Shi, Zhaoyue Wilkes, Don M. Yang, Pai-Feng Wang, Feng Wu, Ruiqi Wu, Tung-Lin Chen, Li Min Gore, John C. Sci Rep Article Correlations between fluctuations in resting state BOLD fMRI signals are interpreted as measures of functional connectivity (FC), but the neural basis of their origins and their relationships to specific features of underlying electrophysiologic activity, have not been fully established. In particular, the dependence of FC metrics on different frequency bands of local field potentials (LFPs), and the relationship of dynamic changes in BOLD FC to underlying temporal variations of LFP correlations, are not known. We compared the spatial profiles of resting state coherences of different frequency bands of LFP signals, with high resolution resting state BOLD FC measurements. We also compared the probability distributions of temporal variations of connectivity in both modalities using a Markov chain model-based approach. We analyzed data obtained from the primary somatosensory (S1) cortex of monkeys. We found that in areas 3b and 1 of S1 cortex, low frequency LFP signal fluctuations were the main contributions to resting state LFP coherence. Additionally, the dynamic changes of BOLD FC behaved most similarly to the LFP low frequency signal coherence. These results indicate that, within the S1 cortex meso-scale circuit studied, resting state FC measures from BOLD fMRI mainly reflect contributions from low frequency LFP signals and their dynamic changes. Nature Publishing Group UK 2019-06-20 /pmc/articles/PMC6586888/ /pubmed/31222020 http://dx.doi.org/10.1038/s41598-019-45404-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Shi, Zhaoyue
Wilkes, Don M.
Yang, Pai-Feng
Wang, Feng
Wu, Ruiqi
Wu, Tung-Lin
Chen, Li Min
Gore, John C.
On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title_full On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title_fullStr On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title_full_unstemmed On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title_short On the Relationship between MRI and Local Field Potential Measurements of Spatial and Temporal Variations in Functional Connectivity
title_sort on the relationship between mri and local field potential measurements of spatial and temporal variations in functional connectivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586888/
https://www.ncbi.nlm.nih.gov/pubmed/31222020
http://dx.doi.org/10.1038/s41598-019-45404-8
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