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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Bibliographic Details
Published in:eLife 2021-08, Vol.10
Main Authors: Sobczak, Filip, Pais-Roldán, Patricia, Takahashi, Kengo, Yu, Xin
Format: Article
Language:English
Subjects:
Activity patterns
Analysis
Anesthesia, General
Animals
Arousal
Brain
Brain - physiology
Brain Mapping
brain state
Cognition
Cognitive ability
Correlation analysis
decoding
fMRI
Functional magnetic resonance imaging
Magnetic Resonance Imaging
Male
Neural Networks, Computer
neuromodulation
Neurons
Neuroscience
Pattern Recognition, Automated
Physiological aspects
Principal Component Analysis
pupil
Pupil - physiology
Rats
Rats, Sprague-Dawley
Reproducibility
Signal Processing, Computer-Assisted
Standard deviation
Time Factors
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Summary: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.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.68980