Featured Publications
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 analysisAutomated 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 variabilityPatientsPredictionDevelopment and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports
Torres-Lopez VM, Rovenolt GE, Olcese AJ, Garcia GE, Chacko SM, Robinson A, Gaiser E, Acosta J, Herman AL, Kuohn LR, Leary M, Soto AL, Zhang Q, Fatima S, Falcone GJ, Payabvash MS, Sharma R, Struck AF, Sheth KN, Westover MB, Kim JA. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports. JAMA Network Open 2022, 5: e2227109. PMID: 35972739, PMCID: PMC9382443, DOI: 10.1001/jamanetworkopen.2022.27109.Peer-Reviewed Original ResearchConceptsNatural language processingF-scoreTest data setsLanguage processingIndependent test data setsData setsBidirectional Encoder RepresentationsAcute brain injuryLarge data setsHead CTBrain injuryNLP toolsF1 scoreNER modelTransformer architectureClinical textEncoder RepresentationsNLP algorithmNLP modelsCT reportsCustom dictionaryTraining setCross-validation performancePerformance metricsAvailable new toolsCombining Transcranial Doppler and EEG Data to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage
Chen HY, Elmer J, Zafar SF, Ghanta M, Moura Junior V, Rosenthal ES, Gilmore EJ, Hirsch LJ, Zaveri HP, Sheth KN, Petersen NH, Westover MB, Kim JA. Combining Transcranial Doppler and EEG Data to Predict Delayed Cerebral Ischemia After Subarachnoid Hemorrhage. Neurology 2021, 98: e459-e469. PMID: 34845057, PMCID: PMC8826465, DOI: 10.1212/wnl.0000000000013126.Peer-Reviewed Original ResearchHospital Revisits for Post-Ischemic Stroke Epilepsy after Acute Stroke Interventions
Kuohn LR, Herman AL, Soto AL, Brown SC, Gilmore EJ, Hirsch LJ, Matouk CC, Sheth KN, Kim JA. Hospital Revisits for Post-Ischemic Stroke Epilepsy after Acute Stroke Interventions. Journal Of Stroke And Cerebrovascular Diseases 2021, 31: 106155. PMID: 34688213, PMCID: PMC8766898, DOI: 10.1016/j.jstrokecerebrovasdis.2021.106155.Peer-Reviewed Original ResearchConceptsIschemic stroke survivorsIV-tPADecompressive craniectomyHospital revisitsStroke survivorsAcute stroke interventionAcute ischemic strokeAcute stroke careProportional hazards regressionImpact of therapyHistory of epilepsyAcute seizuresHospital seizuresIschemic strokeStroke severityPrimary outcomeStroke interventionStroke treatmentStroke careHazards regressionMultivariable modelRetrospective analysisCumulative rateClaims dataPatientsFocused Management of Patients With Severe Acute Brain Injury and ARDS
Kim JA, Wahlster S, LaBuzetta JN, Nobleza COS, Johnson NJ, Rubinos C, Malaiyandi D, O'Phelan KH, Mainali S, Sarwal A, Gilmore EJ. Focused Management of Patients With Severe Acute Brain Injury and ARDS. CHEST Journal 2021, 161: 140-151. PMID: 34506794, PMCID: PMC8423666, DOI: 10.1016/j.chest.2021.08.066.Peer-Reviewed Original ResearchConceptsSevere acute brain injuryAcute brain injuryBrain injuryTreatment strategiesHigh-acuity patient populationMainstay of treatmentHypothetical case scenariosSevere ARDSConcurrent diseasesPatient populationTreatment decisionsARDSConcomitant managementLung physiologyTreatment conceptNarrative reviewConcomitant occurrenceSimultaneous managementPatientsCOVID-19 pandemicInjuryNoninvasive monitoringFocused managementPhysiological basisManagementThe Utility of Quantitative EEG in Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage
Baang HY, Chen HY, Herman AL, Gilmore EJ, Hirsch LJ, Sheth KN, Petersen NH, Zafar SF, Rosenthal ES, Westover MB, Kim JA. The Utility of Quantitative EEG in Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage. Journal Of Clinical Neurophysiology 2021, 39: 207-215. PMID: 34510093, PMCID: PMC8901442, DOI: 10.1097/wnp.0000000000000754.Peer-Reviewed Original ResearchHolding Out Hope After Traumatic Brain Injury
Kim JA, Sheth KN. Holding Out Hope After Traumatic Brain Injury. JAMA Neurology 2021, 78: 522-524. PMID: 33646278, DOI: 10.1001/jamaneurol.2020.5328.Peer-Reviewed Original ResearchHigh 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 parameterDevelopment of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation
Jing J, Sun H, Kim JA, Herlopian A, Karakis I, Ng M, Halford JJ, Maus D, Chan F, Dolatshahi M, Muniz C, Chu C, Sacca V, Pathmanathan J, Ge W, Dauwels J, Lam A, Cole AJ, Cash SS, Westover MB. Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation. JAMA Neurology 2020, 77: 103-108. PMID: 31633740, PMCID: PMC6806668, DOI: 10.1001/jamaneurol.2019.3485.Peer-Reviewed Original Research
2024
Commentary on stimulus‐induced arousal with transient electroencephalographic improvement distinguishes nonictal from ictal generalized periodic discharges
Ng M, Zafar S, Foreman B, Kim J, Struck A, Westover M. Commentary on stimulus‐induced arousal with transient electroencephalographic improvement distinguishes nonictal from ictal generalized periodic discharges. Epilepsia 2024 PMID: 39422357, DOI: 10.1111/epi.18159.Peer-Reviewed Original ResearchAntiseizure Medication Withdrawal, Risk of Epilepsy, and Longterm EEG Trends in Acute Symptomatic Seizures or Epileptic EEG Patterns.
Sivaraju A, Tao A, Jadav R, Kirunda K, Rampal N, Kim J, Gilmore E, Hirsch L. Antiseizure Medication Withdrawal, Risk of Epilepsy, and Longterm EEG Trends in Acute Symptomatic Seizures or Epileptic EEG Patterns. Neurology Clinical Practice 2024, 14: e200342. PMID: 39185097, PMCID: PMC11341085, DOI: 10.1212/cpj.0000000000200342.Peer-Reviewed Original ResearchPrognostic Implications of Early Prediction in Posttraumatic Epilepsy
Chen Y, Cappucci S, Kim J. Prognostic Implications of Early Prediction in Posttraumatic Epilepsy. Seminars In Neurology 2024, 44: 333-341. PMID: 38621706, DOI: 10.1055/s-0044-1785502.Peer-Reviewed Original ResearchPosttraumatic epilepsyTraumatic brain injuryComplication of traumatic brain injuryRisk of posttraumatic epilepsyPosttraumatic epilepsy modelBrain injuryPrognostic implicationsPrognostic informationIncreased morbidityClinical trajectoryTreatment strategiesPatient's clinical trajectoryRisk factorsHigh riskQuantitative prognostic information
2023
Algorithm to Annotate Epileptiform Abnormalities in EEG Reports (P10-1.002)
Choi R, Uppal P, Chen Y, Gilmore E, Hirsch L, Sivaraju A, Westover M, Kim J. Algorithm to Annotate Epileptiform Abnormalities in EEG Reports (P10-1.002). Neurology 2023, 100 DOI: 10.1212/wnl.0000000000202417.Peer-Reviewed Original Research
2022
Epileptiform activity predicts epileptogenesis in cerebral hemorrhage
Kong THJ, Azeem M, Naeem A, Allen S, Kim JA, Struck AF. Epileptiform activity predicts epileptogenesis in cerebral hemorrhage. Annals Of Clinical And Translational Neurology 2022, 9: 1475-1480. PMID: 36030385, PMCID: PMC9463945, DOI: 10.1002/acn3.51637.Peer-Reviewed Original ResearchConceptsEpileptiform activitySubarachnoid hemorrhageRisk factorsRetrospective case-control studyNontraumatic intraparenchymal hemorrhagesDevelopment of epilepsyCase-control studyS scoresClinical seizuresAcute phaseCerebral hemorrhageIntraparenchymal hemorrhageHemorrhageSeizuresEpilepsyScoresEpileptogenesisPatientsActivityIntraparenchymalDeep Learning Applications for Acute Stroke Management
Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy‐Cramer J, Gonzalez J, Kimberly WT, Sheth KN. Deep Learning Applications for Acute Stroke Management. Annals Of Neurology 2022, 92: 574-587. PMID: 35689531, DOI: 10.1002/ana.26435.Peer-Reviewed Original ResearchConceptsDeep machine learningDeep learning applicationsMedical image analysisDeep neural networksPixel-wise labelingAcute stroke managementReal-world examplesDL applicationsDL approachMachine learningLearning applicationsDL modelsNeural networkStroke managementLesion segmentationMaximal utilityImage analysisElectronic medical record dataInter-rater variabilityCause of disabilityMedical record dataRelevant clinical featuresStroke detectionAdvanced neuroimaging techniquesDecision makingMeasuring expertise in identifying interictal epileptiform discharges
Harid NM, Jing J, Hogan J, Nascimento FA, Ouyang A, Zheng W, Ge W, Zafar SF, Kim JA, Alice DL, Herlopian A, Maus D, Karakis I, Ng M, Hong S, Yu Z, Kaplan PW, Cash S, Shafi M, Martz G, Halford JJ, Westover MB. Measuring expertise in identifying interictal epileptiform discharges. Epileptic Disorders 2022, 24: 496-506. PMID: 35770748, PMCID: PMC9340812, DOI: 10.1684/epd.2021.1409.Peer-Reviewed Original ResearchBedside monitoring of hypoxic ischemic brain injury using low-field, portable brain magnetic resonance imaging after cardiac arrest
Beekman R, Crawford A, Mazurek MH, Prabhat AM, Chavva IR, Parasuram N, Kim N, Kim JA, Petersen N, de Havenon A, Khosla A, Honiden S, Miller PE, Wira C, Daley J, Payabvash S, Greer DM, Gilmore EJ, Kimberly W, Sheth KN. Bedside monitoring of hypoxic ischemic brain injury using low-field, portable brain magnetic resonance imaging after cardiac arrest. Resuscitation 2022, 176: 150-158. PMID: 35562094, PMCID: PMC9746653, DOI: 10.1016/j.resuscitation.2022.05.002.Peer-Reviewed Original ResearchConceptsCardiac arrestBrain injuryHypoxic-ischemic brain injuryAdverse neurological outcomesIschemic brain injurySingle-center studyBrain magnetic resonanceBrain injury severityBoard-certified neuroradiologistsLow-field MRIFLAIR signal intensityNeurological outcomeCA patientsIll patientsMRI findingsCA survivorsCenter studyMRI examinationsClinical careHigh riskInjury severityPatientsSignal intensityBedside monitoringMR imagingPortable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke
Yuen MM, Prabhat AM, Mazurek MH, Chavva IR, Crawford A, Cahn BA, Beekman R, Kim JA, Gobeske KT, Petersen NH, Falcone GJ, Gilmore EJ, Hwang DY, Jasne AS, Amin H, Sharma R, Matouk C, Ward A, Schindler J, Sansing L, de Havenon A, Aydin A, Wira C, Sze G, Rosen MS, Kimberly WT, Sheth KN. Portable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke. Science Advances 2022, 8: eabm3952. PMID: 35442729, PMCID: PMC9020661, DOI: 10.1126/sciadv.abm3952.Peer-Reviewed Original ResearchIschemic strokeMagnetic resonance imagingResonance imagingFluid-attenuated inversion recoveryDiffusion-weighted imaging sequencesStroke volume measurementsStroke pathwayStroke severityFunctional outcomeLow-field magnetic resonance imagingBedside evaluationClinical managementStroke volumeMRI studiesStrokePatientsBrain imagingCerebellar structuresHigh-field MRI studiesHyperintense regionsInversion recoveryInfarctsUseful imagingVolume measurementsImpact of Frailty on Morbidity and Mortality in Adult Patients Undergoing Surgical Evacuation of Acute Traumatic Subdural Hematoma
Elsamadicy AA, Sandhu MRS, Freedman IG, Koo AB, Reeves BC, Yu J, Hengartner A, Havlik J, Hong CS, Rutherford HJV, Kim JA, Gerrard J, Gilmore EJ, Omay SB. Impact of Frailty on Morbidity and Mortality in Adult Patients Undergoing Surgical Evacuation of Acute Traumatic Subdural Hematoma. World Neurosurgery 2022, 162: e251-e263. PMID: 35276399, DOI: 10.1016/j.wneu.2022.02.122.Peer-Reviewed Original ResearchConceptsAcute traumatic subdural hematomaTraumatic subdural hematomaHospital mortalityNonroutine dischargeSubdural hematomaExtended LOSIndependent predictorsAdult patientsBaseline frailtyMultivariate logistic regression analysisExtended hospital lengthImpact of frailtyRetrospective cohort studyNational Trauma DatabaseLogistic regression analysisRegression analysisMultivariate regression analysisHealth care expendituresFrail patientsHospital lengthCohort studySurgical evacuationFrailty indexTrauma databasePatients