Addressing indirect frequency coupling via partial generalized coherence

Abstract Distinguishing between direct and indirect frequency coupling is an important aspect of functional connectivity analyses because this distinction can determine if two brain regions are directly connected. Although partial coherence quantifies partial frequency coupling in the linear Gaussia...

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Autores principales:	Joseph Young, Ryota Homma, Behnaam Aazhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9b355ba1f6fc4396b240472c25d586be
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spelling	oai:doaj.org-article:9b355ba1f6fc4396b240472c25d586be2021-12-02T11:45:00ZAddressing indirect frequency coupling via partial generalized coherence10.1038/s41598-021-85677-62045-2322https://doaj.org/article/9b355ba1f6fc4396b240472c25d586be2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85677-6https://doaj.org/toc/2045-2322Abstract Distinguishing between direct and indirect frequency coupling is an important aspect of functional connectivity analyses because this distinction can determine if two brain regions are directly connected. Although partial coherence quantifies partial frequency coupling in the linear Gaussian case, we introduce a general framework that can address even the nonlinear and non-Gaussian case. Our technique, partial generalized coherence (PGC), expands prior work by allowing pairwise frequency coupling analyses to be conditioned on other processes, enabling model-free partial frequency coupling results. By taking advantage of recent advances in conditional mutual information estimation, we are able to implement our technique in a way that scales well with dimensionality, making it possible to condition on many processes and produce a partial frequency coupling graph. We analyzed both linear Gaussian and nonlinear simulated networks. We then performed PGC analysis of calcium recordings from mouse olfactory bulb glomeruli under anesthesia and quantified the dominant influence of breathing-related activity on the pairwise relationships between glomeruli for breathing-related frequencies. Overall, we introduce a technique capable of eliminating indirect frequency coupling in a model-free way, empowering future research to correct for potentially misleading frequency interactions in functional connectivity analyses.Joseph YoungRyota HommaBehnaam AazhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Joseph Young Ryota Homma Behnaam Aazhang Addressing indirect frequency coupling via partial generalized coherence
description	Abstract Distinguishing between direct and indirect frequency coupling is an important aspect of functional connectivity analyses because this distinction can determine if two brain regions are directly connected. Although partial coherence quantifies partial frequency coupling in the linear Gaussian case, we introduce a general framework that can address even the nonlinear and non-Gaussian case. Our technique, partial generalized coherence (PGC), expands prior work by allowing pairwise frequency coupling analyses to be conditioned on other processes, enabling model-free partial frequency coupling results. By taking advantage of recent advances in conditional mutual information estimation, we are able to implement our technique in a way that scales well with dimensionality, making it possible to condition on many processes and produce a partial frequency coupling graph. We analyzed both linear Gaussian and nonlinear simulated networks. We then performed PGC analysis of calcium recordings from mouse olfactory bulb glomeruli under anesthesia and quantified the dominant influence of breathing-related activity on the pairwise relationships between glomeruli for breathing-related frequencies. Overall, we introduce a technique capable of eliminating indirect frequency coupling in a model-free way, empowering future research to correct for potentially misleading frequency interactions in functional connectivity analyses.
format	article
author	Joseph Young Ryota Homma Behnaam Aazhang
author_facet	Joseph Young Ryota Homma Behnaam Aazhang
author_sort	Joseph Young
title	Addressing indirect frequency coupling via partial generalized coherence
title_short	Addressing indirect frequency coupling via partial generalized coherence
title_full	Addressing indirect frequency coupling via partial generalized coherence
title_fullStr	Addressing indirect frequency coupling via partial generalized coherence
title_full_unstemmed	Addressing indirect frequency coupling via partial generalized coherence
title_sort	addressing indirect frequency coupling via partial generalized coherence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9b355ba1f6fc4396b240472c25d586be
work_keys_str_mv	AT josephyoung addressingindirectfrequencycouplingviapartialgeneralizedcoherence AT ryotahomma addressingindirectfrequencycouplingviapartialgeneralizedcoherence AT behnaamaazhang addressingindirectfrequencycouplingviapartialgeneralizedcoherence
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Addressing indirect frequency coupling via partial generalized coherence

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