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Fast oxygen dynamics as a potential biomarker for epilepsy

dc.contributor.authorFarrell, Jordan S.
dc.contributor.authorGreba, Quentin
dc.contributor.authorSnutch, Terrance P.
dc.contributor.authorHowland, John G.
dc.contributor.authorTeskey, G. Campbell
dc.date.accessioned2019-02-01T18:02:43Z
dc.date.available2019-02-01T18:02:43Z
dc.date.issued2018-12-18
dc.description.abstractChanges in brain activity can entrain cerebrovascular dynamics, though this has not been extensively investigated in pathophysiology. We assessed whether pathological network activation (i.e. seizures) in the Genetic Absence Epilepsy Rat from Strasbourg (GAERS) could alter dynamic fluctuations in local oxygenation. Spontaneous absence seizures in an epileptic rat model robustly resulted in brief dips in cortical oxygenation and increased spectral oxygen power at frequencies greater than 0.08 Hz. Filtering oxygen data for these fast dynamics was sufficient to distinguish epileptic vs. non-epileptic rats. Furthermore, this approach distinguished brain regions with seizures from seizure-free brain regions in the epileptic rat strain. We suggest that fast oxygen dynamics may be a useful biomarker for seizure network identification and could be translated to commonly used clinical tools that measure cerebral hemodynamics.en_US
dc.description.sponsorshipCanadian Institutes of Health Research (GCT: MOP#130495, JGH: MOP#125984).en_US
dc.description.versionPeer Revieweden_US
dc.identifier.citationFarrell JS. et al. (2018). Fast oxygen dynamics as a potential biomarker for epilepsy. Scientific Reports, volume 8, Article number: 17935. https://doi.org/10.1038/s41598-018-36287-2en_US
dc.identifier.doihttps://doi.org/10.1038/s41598-018-36287-2
dc.identifier.pmid30560885
dc.identifier.urihttp://hdl.handle.net/10388/11860
dc.language.isoenen_US
dc.publisherNature Researchen_US
dc.rightsAttribution 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/ca/*
dc.subjectEpilepsyen_US
dc.subjectNeuro–vascular interactionsen_US
dc.titleFast oxygen dynamics as a potential biomarker for epilepsyen_US
dc.typeArticleen_US

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