Richard Bronen, MD
Professor of Radiology and Biomedical ImagingCards
About
Research
Overview
My research has studied MR Imaging of patients with seizures, including imaging of surgical epilepsy group, normal brain variations, temporal lobe embryology and anatomy, post-operative brain changes, hippocampal sclerosis, focal cortical dysplasia, and brain malformations. Current research investigates whether machine learning techniques will improve imaging detection of brain disorders underlying epilepsy.
Other research investigations involve MR imaging of pituitary anomalies and disorders.
I have collaborated with many groups investigating the hippocampus or temporal lobe, which included publications on changes in these anatomy sites with PTSD, child abuse, and functional MRI language activation.
Medical Research Interests
Encephalocele; Epilepsy; Magnetic Resonance Imaging; Neoplasms by Site; Neurosurgery; Pituitary Diseases; Radiology; Seizures; Stroke; Vascular Malformations
Publications
2022
The changing landscape in epilepsy imaging: Unmasking subtle and unique entities
Adin ME, Department of Radiology and Biomedical Imaging Y, Durand D, Zucconi W, Huttner A, Spencer D, Bronen R, Department of Radiology Abbott Northwestern Hospital M, Department of Pathology Y, Department of Neurosurgery Y. The changing landscape in epilepsy imaging: Unmasking subtle and unique entities. Diagnostic And Interventional Radiology 2022, 28: 503-515. PMID: 35997478, PMCID: PMC9682800, DOI: 10.5152/dir.2022.21339.Peer-Reviewed Original ResearchConceptsHippocampal sclerosisCortical developmentLocalization-related epilepsyTemporal lobe encephaloceleFocal cortical dysplasiaFocal cortical dysplasia IIbField of epilepsyEpileptogenic abnormalitiesAutoimmune encephalitisRasmussen's encephalitisCommon etiologyCortical dysplasiaEpilepsy surgeryEpileptogenic substrateTuberous sclerosisEpilepsy imagingHippocampal malformationsMTOR pathwayEncephalitisSclerosisMR imagingMalformationsUnique entitySurgeryEpilepsyDorsal bed nucleus of stria terminalis in depressed and nondepressed temporal lobe epilepsy patients
Dhaher R, Bronen RA, Spencer L, Colic L, Brown F, Mian A, Sandhu M, Pittman B, Spencer D, Blumberg HP, Altalib H. Dorsal bed nucleus of stria terminalis in depressed and nondepressed temporal lobe epilepsy patients. Epilepsia 2022, 63: 2561-2570. PMID: 35883245, DOI: 10.1111/epi.17377.Peer-Reviewed Original ResearchConceptsTemporal lobe epilepsyDorsal bed nucleusTLE patientsEpilepsy patientsBed nucleusHC subjectsStria terminalisTemporal lobe epilepsy patientsMini International Neuropsychiatric InterviewMagnetic resonance imaging (MRI) scansTreatment-resistant depressionComprehensive Epilepsy CenterHealthy control subjectsStructural magnetic resonance imaging (MRI) scansResonance imaging scansNumber of patientsCase-control studyInternational Neuropsychiatric InterviewMajor depressive disorderCommon comorbid disordersHuman clinical studiesEpilepsy centersLobe epilepsyComorbid depressionControl subjectsChild Neurology: Functional Reorganization Mediating Supplementary Motor Area Syndrome Recovery in Agenesis of the Corpus Callosum
Obaid S, Qureshi HM, Aljishi A, Shaikh N, Kundishora AJ, Bronen RA, DiLuna M, Damisah E. Child Neurology: Functional Reorganization Mediating Supplementary Motor Area Syndrome Recovery in Agenesis of the Corpus Callosum. Neurology 2022, 99: 161-165. PMID: 35618432, PMCID: PMC9421776, DOI: 10.1212/wnl.0000000000200772.Peer-Reviewed Case Reports and Technical NotesConceptsSMA syndromeFunctional recoveryCorpus callosumSupplementary motor area syndromeCorpus callosal fibersLow-grade gliomasMedial premotor cortexFunctional neuroimaging featuresSurgical resectionClinical presentationHealthy hemisphereTranscallosal fibersAcallosal patientsNeuroimaging featuresPreoperative fMRIParacentral lobuleLeft toePremotor cortexCallosal fibersPatientsSyndromeComplete ACCExact mechanismAgenesisCallosumIntegration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)
Merkaj S, Zeevi T, Bousabarah K, Kazarian E, Lin M, Pala A, Petersen G, Jekel L, Bahar R, Tillmanns N, Cui J, Ikuta I, Bronen R, Fadel S, Westerhoff M, Omuro A, Aboian M. Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002). Neurology 2022, 98 DOI: 10.1212/wnl.98.18_supplement.3243.Peer-Reviewed Original ResearchMachine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment
Petersen G, Shatalov J, Verma T, Brim WR, Subramanian H, Brackett A, Bahar RC, Merkaj S, Zeevi T, Staib LH, Cui J, Omuro A, Bronen RA, Malhotra A, Aboian MS. Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment. American Journal Of Neuroradiology 2022, 43: 526-533. PMID: 35361577, PMCID: PMC8993193, DOI: 10.3174/ajnr.a7473.Peer-Reviewed Original ResearchConceptsMachine learning-based methodsLearning-based methodsBalanced data setData setsVector machine modelMachine learningClassification algorithmsMachine modelMachineAlgorithmData basesPrediction modelPromising resultsPrimary CNS lymphomaPrediction model study RiskRisk of biasRadiomic featuresClassifierSetCNS lymphomaWebLearningFeaturesQualitySystematic review
2021
Management of patients with medically intractable epilepsy and anterior temporal lobe encephaloceles.
Sandhu MRS, Mandel M, McGrath H, Lamsam L, Farooque P, Bronen RA, Spencer DD, Damisah EC. Management of patients with medically intractable epilepsy and anterior temporal lobe encephaloceles. Journal Of Neurosurgery 2021, 136: 709-716. PMID: 34507290, DOI: 10.3171/2021.3.jns21133.Peer-Reviewed Original ResearchConceptsTemporal lobe encephaloceleIdiopathic intracranial hypertensionRefractory epilepsyEEG findingsSigns of IIHIntractable temporal lobe epilepsyResective epilepsy surgeryManagement of patientsTemporal lobe epilepsyScalp EEG findingsSignificant neuropsychological deficitsRadiological findingsIntracranial hypertensionPreoperative evaluationEpileptogenic lesionsSurgical managementEpilepsy surgeryLobe epilepsySurgical outcomesIntractable epilepsySingle institutionSurgical dataEpileptogenic focusMedical recordsWorse outcomesImaging of Neuromodulation and Surgical Interventions for Epilepsy
Adin ME, Spencer DD, Damisah E, Herlopian A, Gerrard JL, Bronen RA. Imaging of Neuromodulation and Surgical Interventions for Epilepsy. American Journal Of Neuroradiology 2021, 42: 1742-1750. PMID: 34353787, PMCID: PMC8562735, DOI: 10.3174/ajnr.a7222.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsSurgical interventionPostoperative imaging findingsMultiple subpial transectionsComprehensive Epilepsy CenterGroup of patientsVagus nerve stimulationDeep brain stimulationInvasive treatment decisionsNew surgical interventionLobar resectionSubpial transectionMedical therapyEpilepsy centersImaging findingsNerve stimulationTreatment algorithmTherapeutic optionsTreatment modalitiesEpilepsy interventionsPotential complicationsEpilepsy casesTreatment decisionsBrain stimulationResponsive neurostimulationNeuromodulation techniques
2020
LGG-09. CORRELATING GENETIC SIGNATURE OF PILOMYXOID ASTROCYTOMAS AND PILOCYTIC ASTROCYTOMAS WITH QUALITATIVE AND QUANTITATIVE MR IMAGING CHARACTERISTICS
Fadel S, Omay Z, Darbinyan A, Bronen R, Fulbright R, Mahajan A, Aboian M. LGG-09. CORRELATING GENETIC SIGNATURE OF PILOMYXOID ASTROCYTOMAS AND PILOCYTIC ASTROCYTOMAS WITH QUALITATIVE AND QUANTITATIVE MR IMAGING CHARACTERISTICS. Neuro-Oncology 2020, 22: iii367-iii368. PMCID: PMC7715503, DOI: 10.1093/neuonc/noaa222.392.Peer-Reviewed Original ResearchKIAA1549-BRAF fusionBRAF V600E mutationWhole-exome sequencingBRAF-wildtypePilocytic astrocytomaWildtype tumorsV600E mutationImaging characteristicsExome sequencingAtypical imaging featuresMR imaging characteristicsMyxoid featuresPediatric patientsPilomyxoid astrocytomaIntraventricular extensionImaging featuresIntratumoral hemorrhageMRI characteristicsGermline sequencingAtypical featuresT1 intensityTumor localizationWildtype BRAFKIAA1549-BRAFPA correlatesCorrelating genetic signature of pilomyxoid astrocytomas and pilocytic astrocytomas with qualitative and quantitative MR imaging characteristics
Abi Fadel S, Erson Omay Z, Darbinyan A, Marks A, Bronen R, Fulbright R, Mahajan A, Aboian M. Correlating genetic signature of pilomyxoid astrocytomas and pilocytic astrocytomas with qualitative and quantitative MR imaging characteristics. 2020 DOI: 10.26226/morressier.5e8335ba7cb08a046ef7c7e5.Peer-Reviewed Original ResearchDiagnosis and Management of pituitary disease with focus on the role of Magnetic Resonance Imaging
Mahajan A, Bronen RA, Mian AY, Omay SB, Spencer DD, Inzucchi SE. Diagnosis and Management of pituitary disease with focus on the role of Magnetic Resonance Imaging. Endocrine 2020, 68: 489-501. PMID: 32162185, DOI: 10.1007/s12020-020-02242-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
Academic Achievements & Community Involvement
Clinical Care
Overview
Richard Bronen, MD, is a neuroradiologist who specializes in the imaging of the brain, face, neck, and spine using X-ray, CT, MRI, and vascular imaging techniques. He focuses on diagnosing conditions such as epilepsy and pituitary disorders. Dr. Bronen offers comprehensive imaging studies that aid in the evaluation and management of these neurological conditions.
As a professor of radiology and biomedical imaging at Yale School of Medicine, Dr. Bronen's research explores advanced imaging techniques for epilepsy, including machine learning applications to enhance detection of brain disorders. His work also involves studying brain anatomy, including the hippocampus and temporal lobe, in relation to conditions like PTSD and child abuse.
Dr. Bronen received his medical training from Emory University and completed his residency in diagnostic radiology at Hahnemann Hospital, followed by a fellowship in neuroradiology at Yale-New Haven Hospital.
Clinical Specialties
Radiology & Biomedical Imaging; Neuroradiology
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Board Certifications
Diagnostic Radiology
- Certification Organization
- AB of Radiology
- Latest Certification Date
- 2010
- Original Certification Date
- 1987
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Radiology & Biomedical Imaging
PO Box 208042, Tompkin's East 2-209
New Haven, CT 06520-8042
United States
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