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Back to pupillometry: How cortical network state fluctuations tracked by pupil dynamics could explain neural signal variability in human cognitive neuroscience

dc.contributor.authorSchwalm M.
dc.contributor.authorJubal E.R.
dc.date.accessioned2020-09-02T22:28:09Z
dc.date.available2020-09-02T22:28:09Z
dc.date.issued2017
dc.identifier10.1523/ENEURO.0293-16.2017
dc.identifier.citation4, 6, -
dc.identifier.issn23732822
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6224
dc.descriptionThe mammalian thalamocortical system generates intrinsic activity reflecting different states of excitability, arising from changes in the membrane potentials of underlying neuronal networks. Fluctuations between these states occur spontaneously, regularly, and frequently throughout awake periods and influence stimulus encoding, information processing, and neuronal and behavioral responses. Changes of pupil size have recently been identified as a reliable marker of underlying neuronal membrane potential and thus can encode associated network state changes in rodent cortex. This suggests that pupillometry, a ubiquitous measure of pupil dilation in cognitive neuroscience, could be used as an index for network state fluctuations also for human brain signals. Considering this variable may explain task-independent variance in neuronal and behavioral signals that were previously disregarded as noise. © 2017 Schwalm and Rosales Jubal.
dc.language.isoen
dc.publisherSociety for Neuroscience
dc.subjectNetwork state changes
dc.subjectPupil diameter
dc.subjectPupillometry
dc.subjectArticle
dc.subjectbrain cortex
dc.subjectcognitive neuroscience
dc.subjectdecision making
dc.subjectelectroencephalogram
dc.subjectevoked cortical response
dc.subjectexcitability
dc.subjectfunctional magnetic resonance imaging
dc.subjectinformation processing
dc.subjectintrinsic activity
dc.subjectmydriasis
dc.subjectnerve cell network
dc.subjectnerve compression
dc.subjectnerve potential
dc.subjectnonhuman
dc.subjectpriority journal
dc.subjectpupillometry
dc.subjectsignal noise ratio
dc.subjectthalamocortical tract
dc.subjectwakefulness
dc.subjectanimal
dc.subjectbrain cortex
dc.subjectcognition
dc.subjectcognitive neuroscience
dc.subjecthuman
dc.subjectnerve tract
dc.subjectphysiology
dc.subjectprocedures
dc.subjectpupil
dc.subjectAnimals
dc.subjectCerebral Cortex
dc.subjectCognition
dc.subjectCognitive Neuroscience
dc.subjectHumans
dc.subjectNeural Pathways
dc.subjectPupil
dc.titleBack to pupillometry: How cortical network state fluctuations tracked by pupil dynamics could explain neural signal variability in human cognitive neuroscience
dc.typeArticle


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