Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage
Zheng WL, Kim JA, Elmer J, Zafar SF, Ghanta M, Moura V, Patel A, Rosenthal E, Westover M. Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology 2022, 143: 97-106. PMID: 36182752, PMCID: PMC9847346, DOI: 10.1016/j.clinph.2022.08.023.Peer-Reviewed Original ResearchConceptsMultiple EEG featuresEEG featuresInformative featuresPrediction algorithmSubarachnoid hemorrhageBetter performanceNon-DCI patientsMachineCerebral ischemiaDCI riskAlpha-delta ratioAneurysmal subarachnoid hemorrhageUtility of electroencephalographyReceiver operator curveFeaturesDCI predictionAlgorithmDCI onsetSAH patientsShannon entropyDay 5Whole brainAlpha variabilityPatientsPredictionHigh epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage
Kim JA, Zheng WL, Elmer J, Jing J, Zafar SF, Ghanta M, Moura V, Gilmore EJ, Hirsch LJ, Patel A, Rosenthal E, Westover MB. High epileptiform discharge burden predicts delayed cerebral ischemia after subarachnoid hemorrhage. Clinical Neurophysiology 2021, 141: 139-146. PMID: 33812771, PMCID: PMC8429508, DOI: 10.1016/j.clinph.2021.01.022.Peer-Reviewed Original ResearchConceptsED burdenSubarachnoid hemorrhageEpileptiform dischargesCerebral ischemiaSAH patientsHigh riskOnset of DCIMajor risk periodContinuous EEG recordingsDCI patientsDCI riskRetrospective analysisNovel biomarkersGroup-based trajectory analysisRisk periodPatientsDay 3.5DCIBurdenHemorrhageIschemiaRiskEEG recordingsBurden rateUseful parameter