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 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.
['Sobczak|Filip|F|0000-0001-9169-0243', 'Pais-Roldán|Patricia|P|0000-0002-9381-3048', 'Takahashi|Kengo|K|0000-0002-3532-1512', 'Yu|Xin|X|0000-0001-9890-5489']
D000768:Anesthesia, General D000818:Animals D001921:Brain D001931:Brain Mapping D003071:Cognition D008279:Magnetic Resonance Imaging D008297:Male D016571:Neural Networks, Computer D010363:Pattern Recognition, Automated D025341:Principal Component Analysis D011680:Pupil D017207:Rats, Sprague-Dawley D012815:Signal Processing, Computer-Assisted D013997:Time Factors D014741:Video Recording
decoding pupil fMRI brain state rat principal component analysis neuromodulation neuroscience