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:	Filip Sobczak, Patricia Pais-Roldán, Kengo Takahashi, Xin Yu
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	pupil fMRI decoding principal component analysis neuromodulation brain state Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/dd2f63a9a4604c25b7afdc4c219891ed
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spelling	oai:doaj.org-article:dd2f63a9a4604c25b7afdc4c219891ed2021-11-26T07:07:32ZDecoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation10.7554/eLife.689802050-084Xe68980https://doaj.org/article/dd2f63a9a4604c25b7afdc4c219891ed2021-08-01T00:00:00Zhttps://elifesciences.org/articles/68980https://doaj.org/toc/2050-084XPupil 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.Filip SobczakPatricia Pais-RoldánKengo TakahashiXin YueLife Sciences Publications LtdarticlepupilfMRIdecodingprincipal component analysisneuromodulationbrain stateMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	pupil fMRI decoding principal component analysis neuromodulation brain state Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	pupil fMRI decoding principal component analysis neuromodulation brain state Medicine R Science Q Biology (General) QH301-705.5 Filip Sobczak Patricia Pais-Roldán Kengo Takahashi Xin Yu Decoding the brain state-dependent relationship between pupil dynamics and resting state fMRI signal fluctuation
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.
format	article
author	Filip Sobczak Patricia Pais-Roldán Kengo Takahashi Xin Yu
author_facet	Filip Sobczak Patricia Pais-Roldán Kengo Takahashi Xin Yu
author_sort	Filip Sobczak
title	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_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_sort	decoding the brain state-dependent relationship between pupil dynamics and resting state fmri signal fluctuation
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/dd2f63a9a4604c25b7afdc4c219891ed
work_keys_str_mv	AT filipsobczak decodingthebrainstatedependentrelationshipbetweenpupildynamicsandrestingstatefmrisignalfluctuation AT patriciapaisroldan decodingthebrainstatedependentrelationshipbetweenpupildynamicsandrestingstatefmrisignalfluctuation AT kengotakahashi decodingthebrainstatedependentrelationshipbetweenpupildynamicsandrestingstatefmrisignalfluctuation AT xinyu decodingthebrainstatedependentrelationshipbetweenpupildynamicsandrestingstatefmrisignalfluctuation
_version_	1718409747988742144

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

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