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Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation

Pupil dynamics serve as a physiological indicator of cognitive processes and arousal states of the brain across a diverse range of behavioral experiments. Pupil diameter changes reflect brain state fluctuations driven by neuromodulatory systems. Resting-state fMRI (rs-fMRI) has been used to identify...

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Autores principales: Sobczak, Filip, Pais-Roldán, Patricia, Takahashi, Kengo, Yu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460262/
https://www.ncbi.nlm.nih.gov/pubmed/34463612
http://dx.doi.org/10.7554/eLife.68980
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author Sobczak, Filip
Pais-Roldán, Patricia
Takahashi, Kengo
Yu, Xin
author_facet Sobczak, Filip
Pais-Roldán, Patricia
Takahashi, Kengo
Yu, Xin
author_sort Sobczak, Filip
collection PubMed
description Pupil dynamics serve as a physiological indicator of cognitive processes and arousal states of the brain across a diverse range of behavioral experiments. Pupil diameter changes reflect brain state fluctuations driven by neuromodulatory systems. Resting-state fMRI (rs-fMRI) has been used to identify global patterns of neuronal correlation with pupil diameter changes; however, the linkage between distinct brain state-dependent activation patterns of neuromodulatory nuclei with pupil dynamics remains to be explored. Here, we identified four clusters of trials with unique activity patterns related to pupil diameter changes in anesthetized rat brains. Going beyond the typical rs-fMRI correlation analysis with pupil dynamics, we decomposed spatiotemporal patterns of rs-fMRI with principal component analysis (PCA) and characterized the cluster-specific pupil–fMRI relationships by optimizing the PCA component weighting via decoding methods. This work shows that pupil dynamics are tightly coupled with different neuromodulatory centers in different trials, presenting a novel PCA-based decoding method to study the brain state-dependent pupil–fMRI relationship.
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spelling pubmed-84602622021-09-24 Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation Sobczak, Filip Pais-Roldán, Patricia Takahashi, Kengo Yu, Xin eLife Neuroscience Pupil dynamics serve as a physiological indicator of cognitive processes and arousal states of the brain across a diverse range of behavioral experiments. Pupil diameter changes reflect brain state fluctuations driven by neuromodulatory systems. Resting-state fMRI (rs-fMRI) has been used to identify global patterns of neuronal correlation with pupil diameter changes; however, the linkage between distinct brain state-dependent activation patterns of neuromodulatory nuclei with pupil dynamics remains to be explored. Here, we identified four clusters of trials with unique activity patterns related to pupil diameter changes in anesthetized rat brains. Going beyond the typical rs-fMRI correlation analysis with pupil dynamics, we decomposed spatiotemporal patterns of rs-fMRI with principal component analysis (PCA) and characterized the cluster-specific pupil–fMRI relationships by optimizing the PCA component weighting via decoding methods. This work shows that pupil dynamics are tightly coupled with different neuromodulatory centers in different trials, presenting a novel PCA-based decoding method to study the brain state-dependent pupil–fMRI relationship. eLife Sciences Publications, Ltd 2021-08-31 /pmc/articles/PMC8460262/ /pubmed/34463612 http://dx.doi.org/10.7554/eLife.68980 Text en © 2021, Sobczak et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Sobczak, Filip
Pais-Roldán, Patricia
Takahashi, Kengo
Yu, Xin
Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title_full Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title_fullStr Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title_full_unstemmed Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title_short Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
title_sort decoding the brain state-dependent relationship between pupil dynamics and resting state fmri signal fluctuation
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8460262/
https://www.ncbi.nlm.nih.gov/pubmed/34463612
http://dx.doi.org/10.7554/eLife.68980
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