Featured Publications
Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy
Sivaraju A, Hirsch L, Gaspard N, Farooque P, Gerrard J, Xu Y, Deng Y, Damisah E, Blumenfeld H, Spencer DD. Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy. Neurology 2022, 99: e1-e10. PMID: 35508395, PMCID: PMC9259091, DOI: 10.1212/wnl.0000000000200569.Peer-Reviewed Original ResearchMeSH KeywordsDrug Resistant EpilepsyElectrocorticographyElectroencephalographyHumansMagnetic Resonance ImagingRetrospective StudiesTreatment OutcomeConceptsTemporal lobe onsetSeizure freedomResective surgeryIndependent predictorsLesional MRIUnfavorable predictorRefractory epilepsyContinued medical treatmentEpilepsy surgical evaluationFactors Predicting OutcomeIntracranial EEG evaluationNonlesional extratemporal epilepsySubsequent seizure freedomSustained seizure freedomThorough presurgical evaluationSeizure-free outcomeClass II evidenceMedically Refractory EpilepsyRetrospective chart reviewKaplan-Meier curvesSelect clinical scenariosMultivariable regression analysisBest multivariable modelIntracranial EEGSeizure onset localizationBeyond implantation effect? Long-term seizure reduction and freedom following intracranial monitoring without additional surgical interventions
Percy J, Zaveri H, Duckrow RB, Gerrard J, Farooque P, Hirsch LJ, Spencer DD, Sivaraju A. Beyond implantation effect? Long-term seizure reduction and freedom following intracranial monitoring without additional surgical interventions. Epilepsy & Behavior 2020, 111: 107231. PMID: 32615416, DOI: 10.1016/j.yebeh.2020.107231.Peer-Reviewed Original ResearchConceptsLong-term seizure freedomSeizure freedomSeizure frequencyElectrode implantationIntracranial studiesLong-term seizure reductionAdditional surgical interventionSeizure onset localizationIntracranial electroencephalogram monitoringSeizure reductionConsecutive patientsSurgical interventionEpileptogenic networksElectroencephalogram monitoringNeuromodulatory effectsRetrospective analysisIntracranial monitoringTransient improvementDepth electrodesPatientsYear 4ImplantationAdequate dataYears
2024
Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring
Rice H, Fernandes M, Punia V, Rubinos C, Sivaraju A, Zafar S. Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring. Clinical Neurology And Neurosurgery 2024, 241: 108275. PMID: 38640778, PMCID: PMC11167629, DOI: 10.1016/j.clineuro.2024.108275.Peer-Reviewed Original ResearchConceptsNeurological follow-upFollow-up visitFollow-upAntiseizure medicationsOutpatient follow-upCritically-ill patientsContinuous EEGEpileptiform abnormalitiesPredictors of follow-upPrevent long-term complicationsIllness severityYounger ageRetrospective cohort studyLong-term complicationsFollow-up statusIntensive care unitProbability of follow-upHigher illness severityPredictors of readmissionContinuous EEG recordingsRisk stratificationEEG monitoringCohort studyCritically-illCare unit
2023
The International Cardiac Arrest Research Consortium Electroencephalography Database
Amorim E, Zheng W, Ghassemi M, Aghaeeaval M, Kandhare P, Karukonda V, Lee J, Herman S, Sivaraju A, Gaspard N, Hofmeijer J, van Putten M, Sameni R, Reyna M, Clifford G, Westover M. The International Cardiac Arrest Research Consortium Electroencephalography Database. Critical Care Medicine 2023, 51: 1802-1811. PMID: 37855659, PMCID: PMC10841086, DOI: 10.1097/ccm.0000000000006074.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentComaElectroencephalographyHeart ArrestHumansProspective StudiesRetrospective StudiesConceptsCardiac arrestNeurologic outcomeCerebral Performance Category scaleContinuous electroencephalography monitoringGood functional recoverySevere neurologic disabilityIctal-interictal continuumIndividuals 16 yearsBrain injury researchCardiac arrest researchMost patientsNeurologic disabilityMulticenter cohortSpontaneous circulationComatose patientsFunctional recoveryEpileptiform activityElectroencephalography monitoringTeaching hospitalBackground continuityClinical dataBurst suppressionPatientsEpileptiform patternsSpike frequencyNeurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest
Amorim E, Zheng W, Jing J, Ghassemi M, Lee J, Wu O, Herman S, Pang T, Sivaraju A, Gaspard N, Hirsch L, Ruijter B, Tjepkema-Cloostermans M, Hofmeijer J, van Putten M, Westover M. Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest. Neurology 2023, 101: e940-e952. PMID: 37414565, PMCID: PMC10501085, DOI: 10.1212/wnl.0000000000207537.Peer-Reviewed Original ResearchImpact of acute symptomatic seizures and their management on patient-reported outcomes after stroke
Punia V, Li Y, Lapin B, Chandan P, Newey C, Hantus S, Dhakar M, Rubinos C, Zafar S, Sivaraju A, Katzan I, investigators F. Impact of acute symptomatic seizures and their management on patient-reported outcomes after stroke. Epilepsy & Behavior 2023, 140: 109115. PMID: 36804847, DOI: 10.1016/j.yebeh.2023.109115.Peer-Reviewed Original ResearchMeSH KeywordsAgedElectroencephalographyFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresQuality of LifeRetrospective StudiesSeizuresStrokeConceptsPatient-reported outcome measuresAnti-seizure medicationsAcute symptomatic seizuresOutcome measuresSymptomatic seizuresHospital dischargeASM useExact testFirst patient-reported outcome measureRetrospective cohort studyPatient-reported outcomesStandard of careContinuous EEG monitoringFisher's exact testWilcoxon rank sum testChi-square testRank sum testPROM completionStroke clinicCohort studyRecent strokeStroke patientsNeuro-QoLPhysical functionPatients
2022
Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy
Chen Y, Li S, Ge W, Jing J, Chen HY, Doherty D, Herman A, Kaleem S, Ding K, Osman G, Swisher CB, Smith C, Maciel CB, Alkhachroum A, Lee JW, Dhakar MB, Gilmore EJ, Sivaraju A, Hirsch LJ, Omay SB, Blumenfeld H, Sheth KN, Struck AF, Edlow BL, Westover MB, Kim JA. Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy. Journal Of Neurology Neurosurgery & Psychiatry 2022, 94: 245-249. PMID: 36241423, PMCID: PMC9931627, DOI: 10.1136/jnnp-2022-329542.Peer-Reviewed Original ResearchMeSH KeywordsBrain Injuries, TraumaticCase-Control StudiesElectroencephalographyEpilepsy, Post-TraumaticHumansRetrospective StudiesConceptsPost-traumatic epilepsyTraumatic brain injuryCT abnormalitiesElectroencephalography featuresAdmission Glasgow Coma Scale scoreGlasgow Coma Scale scoreRetrospective case-control studyMultivariable logistic regression analysisRisk stratification modelCase-control studyLogistic regression analysisTBI admissionsSevere complicationsFuture trialsBrain injuryCT reportsSeizure diagnosisPredictive valueScale scorePatientsLogistic regressionStratification modelQuantitative electroencephalogramTBI mechanismsRegression analysis