Automatically Identified Micro-scale Sharp-wave Transients in the Early-Latent Phase of Hypoxic-Ischemic EEG from Preterm Fetal Sheep Reveal Timing Relationship to Subcortical Neuronal Survival

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dc.contributor.author Abbasi, Seyed en
dc.contributor.author Bennet, Laura en
dc.contributor.author Gunn, Alistair en
dc.contributor.author unsworth, CP en
dc.coverage.spatial Berlin, Germany en
dc.date.accessioned 2019-11-21T03:38:10Z en
dc.date.issued 2019-07-23 en
dc.identifier.uri http://hdl.handle.net/2292/49004 en
dc.description.abstract Perinatal Hypoxic-Ischemia Encephalopathy (HIE) in newborn infants, due to birth-related circumstances such as oxygen deprivation in brain cells, is caused by the disruption in blood flow through the umbilical cord. Subcortical neuronal loss due to the HIE can lead to cerebral palsy and other chronic neurological conditions. Pre-clinical EEG studies using in utero sheep have demonstrated that particular micro-scale HI transients emerge along a suppressed EEG background during a latent phase of 3-6 hours, after a severe HI insult. Whilst the nature of these micro-scale transients is not well understood, it has been hypothesized that such transients may be signatures of the evolving hypoxic-ischemic brain injury, possessing the potential to be served as the diagnosis biomarkers for the injury. Cerebral hypothermia is optimally neuroprotective only if administered within the first 2-3 hours post HI insult. Using data from a cohort of in utero preterm fetal sheep (n=5, at 0.7 of gestational age), this paper indicates how the number of automatically quantified micro-scale sharp wave transients from asphyxiated preterm fetal sheep, statistically correlate to the amount of NeuN-positive neurons measured in caudate nucleus of striatum. Different temporal window sizes of 2hrs, 1hr, ½hr and 10mins within the early phase of the latent phase are examined using our developed Wavelet Type-2 Fuzzy classifier for sharp detection. Analyses were narrowed down to 10min intervals to assess where exactly in time the occurrence of the HI micro-scale sharp waves demonstrate a significant correlation. Signal processing wise, results from the sub-windows indicate a timing trend that highlights a positive correlation, between the number of automatic quantifications and the amount of surviving neurons in the preterm brain, permitting the possibility of a point of care (POC) intervention to stop the spread of injury before it becomes irreversible. en
dc.description.uri https://embc.embs.org/2019/wp-content/uploads/sites/42/2019/07/EMBC-2019-Program.pdf en
dc.relation.ispartof 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) en
dc.relation.ispartofseries Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Automatically Identified Micro-scale Sharp-wave Transients in the Early-Latent Phase of Hypoxic-Ischemic EEG from Preterm Fetal Sheep Reveal Timing Relationship to Subcortical Neuronal Survival en
dc.type Conference Item en
dc.identifier.doi 10.1109/EMBC.2019.8856906 en
pubs.begin-page 7084 en
dc.rights.holder Copyright: The author en
pubs.author-url https://ieeexplore.ieee.org/abstract/document/8856906 en
pubs.end-page 7087 en
pubs.finish-date 2019-07-27 en
pubs.start-date 2019-07-23 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Conference Paper en
pubs.elements-id 785196 en
pubs.org-id Bioengineering Institute en
pubs.org-id Medical and Health Sciences en
pubs.org-id Medical Sciences en
pubs.org-id Physiology Division en
dc.identifier.eissn 1558-4615 en
pubs.record-created-at-source-date 2019-11-06 en
pubs.online-publication-date 2019-10-07 en
pubs.dimensions-id 31947469 en


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