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 ResearchConceptsTemporal 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 localizationIntrastimulation discharges during electrical stimulation mapping May help identify seizure onset network
Sivaraju A, Spencer DD, Hirsch LJ. Intrastimulation discharges during electrical stimulation mapping May help identify seizure onset network. Brain Stimulation 2021, 14: 652-654. PMID: 33826933, DOI: 10.1016/j.brs.2021.04.003.Peer-Reviewed Original ResearchBeyond 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 dataYearsPrognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome
Sivaraju A, Gilmore EJ, Wira CR, Stevens A, Rampal N, Moeller JJ, Greer DM, Hirsch LJ, Gaspard N. Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome. Intensive Care Medicine 2015, 41: 1264-1272. PMID: 25940963, DOI: 10.1007/s00134-015-3834-x.Peer-Reviewed Original ResearchConceptsBetter outcomesPoor outcomeEpileptiform dischargesPost-cardiac arrest comatose patientsCritical care EEG terminologyPost-cardiac arrest comaMethodsProspective cohort studyContinuous EEG monitoringLow-voltage EEGPositive predictive valueAbsence of reactivityEEG terminologyCohort studySpontaneous circulationBrainstem reflexesClinical outcomesComatose patientsFalse positive ratePoor prognosisPrognostic significanceSuppression burstsClinical variablesClinical correlatesElectroencephalographic patternsElectroencephalographic predictors
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
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 ResearchConceptsPost-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 analysisAcute epileptiform abnormalities are the primary predictors of post‐stroke epilepsy: a matched, case–control study
Punia V, Ellison L, Bena J, Chandan P, Sivaraju A, George P, Newey CR, Hantus S. Acute epileptiform abnormalities are the primary predictors of post‐stroke epilepsy: a matched, case–control study. Annals Of Clinical And Translational Neurology 2022, 9: 558-563. PMID: 35243824, PMCID: PMC8994977, DOI: 10.1002/acn3.51534.Peer-Reviewed Original ResearchConceptsPost-stroke epilepsyDays of presentationMultivariable logistic modelCase-control studyContinuous EEG monitoringUnivariable analysisStroke patientsEpileptiform abnormalitiesSeizure managementPresence of EAEEG monitoringTherapy trialsEpilepsyPrimary predictorPredictorsLogistic modelPatientsAbnormalitiesTrials
2021
Gerstmann Syndrome Deconstructed by Cortical Stimulation
Vaddiparti A, McGrath H, Benjamin C, Sivaraju A, Spencer DD, Hirsch LJ, Damisah E, Quraishi IH. Gerstmann Syndrome Deconstructed by Cortical Stimulation. Neurology 2021, 97: 420-422. PMID: 34187861, PMCID: PMC9246017, DOI: 10.1212/wnl.0000000000012441.Commentaries, Editorials and Letters
2008
Increased beat-to-beat ‘R’ amplitude variability in patients with panic disorder
Yeragani V, Chokka P, Tancer M, Sivaraju A, Bar K. Increased beat-to-beat ‘R’ amplitude variability in patients with panic disorder. International Journal Of Cardiology 2008, 143: 431-432. PMID: 19097657, DOI: 10.1016/j.ijcard.2008.12.003.Peer-Reviewed Original Research