Addressing indirect frequency coupling via partial generalized coherence

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dc.citation.articleNumber6535en_US
dc.citation.journalTitleScientific Reportsen_US
dc.citation.volumeNumber11en_US
dc.contributor.authorYoung, Josephen_US
dc.contributor.authorHomma, Ryotaen_US
dc.contributor.authorAazhang, Behnaamen_US
dc.date.accessioned2021-04-21T15:46:29Zen_US
dc.date.available2021-04-21T15:46:29Zen_US
dc.date.issued2021en_US
dc.description.abstractDistinguishing 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.en_US
dc.identifier.citationYoung, Joseph, Homma, Ryota and Aazhang, Behnaam. "Addressing indirect frequency coupling via partial generalized coherence." <i>Scientific Reports,</i> 11, (2021) Springer Nature: https://doi.org/10.1038/s41598-021-85677-6.en_US
dc.identifier.digitals41598-021-85677-6en_US
dc.identifier.doihttps://doi.org/10.1038/s41598-021-85677-6en_US
dc.identifier.urihttps://hdl.handle.net/1911/110311en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleAddressing indirect frequency coupling via partial generalized coherenceen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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