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Article: Time jitter of somatosensory evoked potentials in recovery from hypoxic-ischemic brain injury

TitleTime jitter of somatosensory evoked potentials in recovery from hypoxic-ischemic brain injury
Authors
Issue Date2011
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jneumeth
Citation
Journal Of Neuroscience Methods, 2011, v. 201 n. 2, p. 355-360 How to Cite?
AbstractImpaired neural conductivity shown by delayed latency and reduced amplitude of characteristic peaks in somatosensory evoked potentials (SSEPs), has been used to monitor hypoxic-ischemic brain injury after cardiac arrest (CA). However, rather than characteristic peak deferral and suppression, the time jitter of the peak in SSEP related with time-variant neurological abnormalities is diminished by the commonly used ensemble average method. This paper utilizes the second order blind identification (SOBI) technique to extract characteristic peak information from one trial of SSEPs. Sixteen male Wistar rats were subjected to 7 or 9. min of asphyxial CA (n= 8 per group). The SSEPs from median nerve stimulation were recorded for 4. h after CA and then for 15. min periods at 24, 48 and 72. h. Neurological outcomes were evaluated by neurologic deficit score (NDS) at 72. h post-CA. The SSEP signal was analyzed offline with SOBI processing in Matlab. The N10 feature of SSEP was compared between good (NDS ≥ 50) and bad (NDS < 50) outcomes. After processed by SOBI, the N10 detection rate was significantly increased (p< 0.001) from 90. min post-CA. Statistical difference of the latency variance of the N10 between good and bad outcome groups existed at 24, 48 and 72. h post-CA (p≤ 0.001). Our study is the first application using SOBI detecting variance in neural signals like SSEP. N10 latency variance, related with neurophysiological dysfunction, increased after hypoxic-ischemic injury. The SOBI technique is an efficient method in the identification of peak detection and offers a favorable alternative to reveal the neural transmission variation. © 2011 Elsevier B.V.
Persistent Identifierhttp://hdl.handle.net/10722/159739
ISSN
2015 Impact Factor: 2.053
2015 SCImago Journal Rankings: 1.217
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMa, Yen_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorValentin, Nen_HK
dc.contributor.authorGeocadin, RGen_HK
dc.contributor.authorThakor, NVen_HK
dc.contributor.authorJia, Xen_HK
dc.date.accessioned2012-08-16T05:55:25Z-
dc.date.available2012-08-16T05:55:25Z-
dc.date.issued2011en_HK
dc.identifier.citationJournal Of Neuroscience Methods, 2011, v. 201 n. 2, p. 355-360en_HK
dc.identifier.issn0165-0270en_HK
dc.identifier.urihttp://hdl.handle.net/10722/159739-
dc.description.abstractImpaired neural conductivity shown by delayed latency and reduced amplitude of characteristic peaks in somatosensory evoked potentials (SSEPs), has been used to monitor hypoxic-ischemic brain injury after cardiac arrest (CA). However, rather than characteristic peak deferral and suppression, the time jitter of the peak in SSEP related with time-variant neurological abnormalities is diminished by the commonly used ensemble average method. This paper utilizes the second order blind identification (SOBI) technique to extract characteristic peak information from one trial of SSEPs. Sixteen male Wistar rats were subjected to 7 or 9. min of asphyxial CA (n= 8 per group). The SSEPs from median nerve stimulation were recorded for 4. h after CA and then for 15. min periods at 24, 48 and 72. h. Neurological outcomes were evaluated by neurologic deficit score (NDS) at 72. h post-CA. The SSEP signal was analyzed offline with SOBI processing in Matlab. The N10 feature of SSEP was compared between good (NDS ≥ 50) and bad (NDS < 50) outcomes. After processed by SOBI, the N10 detection rate was significantly increased (p< 0.001) from 90. min post-CA. Statistical difference of the latency variance of the N10 between good and bad outcome groups existed at 24, 48 and 72. h post-CA (p≤ 0.001). Our study is the first application using SOBI detecting variance in neural signals like SSEP. N10 latency variance, related with neurophysiological dysfunction, increased after hypoxic-ischemic injury. The SOBI technique is an efficient method in the identification of peak detection and offers a favorable alternative to reveal the neural transmission variation. © 2011 Elsevier B.V.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jneumethen_HK
dc.relation.ispartofJournal of Neuroscience Methodsen_HK
dc.subject.meshAnimalsen_HK
dc.subject.meshDisease Models, Animalen_HK
dc.subject.meshElectric Stimulation - methodsen_HK
dc.subject.meshElectroencephalography - methodsen_HK
dc.subject.meshEvoked Potentials, Somatosensory - physiologyen_HK
dc.subject.meshHypoxia-Ischemia, Brain - diagnosis - physiopathology - therapyen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMedian Nerve - physiologyen_HK
dc.subject.meshNeural Conduction - physiologyen_HK
dc.subject.meshRatsen_HK
dc.subject.meshRats, Wistaren_HK
dc.subject.meshReaction Time - physiologyen_HK
dc.subject.meshRecovery of Function - physiologyen_HK
dc.subject.meshSignal Processing, Computer-Assisteden_HK
dc.subject.meshSomatosensory Cortex - physiopathologyen_HK
dc.subject.meshTime Factorsen_HK
dc.titleTime jitter of somatosensory evoked potentials in recovery from hypoxic-ischemic brain injuryen_HK
dc.typeArticleen_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jneumeth.2011.08.025en_HK
dc.identifier.pmid21878352-
dc.identifier.scopuseid_2-s2.0-80053176405en_HK
dc.identifier.hkuros202311en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80053176405&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume201en_HK
dc.identifier.issue2en_HK
dc.identifier.spage355en_HK
dc.identifier.epage360en_HK
dc.identifier.isiWOS:000295998900011-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridMa, Y=8291567700en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.scopusauthoridValentin, N=53464274000en_HK
dc.identifier.scopusauthoridGeocadin, RG=6602181477en_HK
dc.identifier.scopusauthoridThakor, NV=7102105011en_HK
dc.identifier.scopusauthoridJia, X=35746074900en_HK

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