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 analysis
2020
Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures
Tatum WO, Hirsch LJ, Gelfand MA, Acton EK, LaFrance WC, Duckrow RB, Chen DK, Blum AS, Hixson JD, Drazkowski JF, Benbadis SR, Cascino GD. Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures. JAMA Neurology 2020, 77: 593-600. PMID: 31961382, PMCID: PMC6990754, DOI: 10.1001/jamaneurol.2019.4785.Peer-Reviewed Original ResearchConceptsPhysical examination resultsPsychogenic nonepileptic attacksVideo electroencephalogram monitoringEpileptic seizuresVideo electroencephalogramEpilepsy centersPhysical examinationElectroencephalogram monitoringNonepileptic attacksCorrect diagnosisPhysiologic nonepileptic eventsEvaluation of epilepsyExamination resultsMisdiagnosis of epilepsyDiagnostic accuracy studiesPsychogenic attacksMotor signsNonepileptic eventsDefinitive diagnosisPatient historyMAIN OUTCOMEClinic outpatientsPredictive valueSeizuresDiagnosis
2019
Early detection rate changes from a brain‐responsive neurostimulation system predict efficacy of newly added antiseizure drugs
Quraishi IH, Mercier MR, Skarpaas TL, Hirsch LJ. Early detection rate changes from a brain‐responsive neurostimulation system predict efficacy of newly added antiseizure drugs. Epilepsia 2019, 61: 138-148. PMID: 31849045, PMCID: PMC7003822, DOI: 10.1111/epi.16412.Peer-Reviewed Original ResearchConceptsPositive predictive valueEpisode startsLonger episodesSystem patientsPredictive valueFirst weekLong-term treatment trialsBrain-responsive neurostimulationSingle epilepsy centerSingle-center cohortRefractory focal epilepsyGreater reductionMedication adjustmentsClinical improvementClinical responseSeizure frequencyAntiseizure drugsCenter cohortMulticenter cohortEpilepsy centersMedication trialsEffective medicationsEfficacy measuresTreatment trialsFocal epilepsyComparison of machine learning models for seizure prediction in hospitalized patients
Struck AF, Rodriguez‐Ruiz A, Osman G, Gilmore EJ, Haider HA, Dhakar MB, Schrettner M, Lee JW, Gaspard N, Hirsch LJ, Westover MB, Consortium C. Comparison of machine learning models for seizure prediction in hospitalized patients. Annals Of Clinical And Translational Neurology 2019, 6: 1239-1247. PMID: 31353866, PMCID: PMC6649418, DOI: 10.1002/acn3.50817.Peer-Reviewed Original ResearchConceptsLow-risk patientsNegative predictive valueEvaluation cohortContinuous EEGElastic net logistic regressionMulticenter databaseRisk stratificationSeizure riskPatientsPredictive valueComparable AUCSecondary analysisLogistic regressionCohortFirst hourSeizure predictionEEG recordingsEEGRisk calibrationLarge proportionSeizuresComplex neural networks
2017
Time‐dependent risk of seizures in critically ill patients on continuous electroencephalogram
Struck AF, Osman G, Rampal N, Biswal S, Legros B, Hirsch LJ, Westover MB, Gaspard N. Time‐dependent risk of seizures in critically ill patients on continuous electroencephalogram. Annals Of Neurology 2017, 82: 177-185. PMID: 28681492, PMCID: PMC5842678, DOI: 10.1002/ana.24985.Peer-Reviewed Original ResearchConceptsEpileptiform EEG abnormalitiesClinical factorsIll patientsEpileptiform findingsRisk factorsEEG abnormalitiesEEG risk factorsClinical risk factorsRisk of seizuresHistory of seizuresPresence of comaDuration of monitoringGreater predictive valueTime-dependent riskAnn NeurolSeizure incidenceAcute illnessPrior seizuresClinical variablesEEG findingsProspective dataSeizure riskBaseline riskMultistate survival modelsPredictive value
2015
Spatial memory for asymmetrical dot locations predicts lateralization among patients with presurgical mesial temporal lobe epilepsy
Brown FC, Hirsch LJ, Spencer DD. Spatial memory for asymmetrical dot locations predicts lateralization among patients with presurgical mesial temporal lobe epilepsy. Epilepsy & Behavior 2015, 52: 19-24. PMID: 26398592, DOI: 10.1016/j.yebeh.2015.08.020.Peer-Reviewed Original ResearchConceptsVerbal memory testsRight temporal lobe epilepsyMemory testTemporal lobe epilepsyMesial temporal lobe epilepsyLobe epilepsyLocation memory testRight mesial temporal lobe epilepsyHemisphere languageCVLT-IISpatial memoryDot locationsPositive predictive valueBinary logistic regressionVideo-EEGPatientsPredictive valueEpilepsyLogistic regressionLimited sample sizeVSRTRTLELTLEMemoryLateralization
2002
Ictal heart rate differentiates epileptic from non-epileptic seizures
Opherk C, Hirsch LJ. Ictal heart rate differentiates epileptic from non-epileptic seizures. Neurology 2002, 58: 636-638. PMID: 11865145, DOI: 10.1212/wnl.58.4.636.Peer-Reviewed Original Research