2023
Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia
Clocchiatti‐Tuozzo S, Rivier C, Renedo D, Lopez V, Geer J, Miner B, Yaggi H, de Havenon A, Payabvash S, Sheth K, Gill T, Falcone G. Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia. Journal Of The American Heart Association 2023, 13: e031514. PMID: 38156552, PMCID: PMC10863828, DOI: 10.1161/jaha.123.031514.Peer-Reviewed Original ResearchConceptsSuboptimal sleep durationWhite matter hyperintensitiesMiddle-aged individualsLong sleep durationLarger WMH volumeSleep durationMiddle-aged adultsHealth profileWMH volumeAmerican Heart Association's LifeAsymptomatic middle-aged adultsWMH presenceVolume of WMHOptimal sleepSelf-reported sleep durationModifiable risk factorsWhite matter tractsProspective magnetic resonanceSimple 7Cardiovascular healthRisk factorsShort sleepMatter hyperintensitiesHigh riskEarly interventionAssociation of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.
Rivier C, Renedo D, de Havenon A, Sunmonu N, Gill T, Payabvash S, Sheth K, Falcone G. Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank. Neurology 2023, 102: e208010. PMID: 38165331, PMCID: PMC10870735, DOI: 10.1212/wnl.0000000000208010.Peer-Reviewed Original ResearchConceptsPoor oral healthOral healthBrain healthRisk factorsNeuroimaging markerWMH volumeHealth profileMD scoreSelf-reported poor oral healthCross-sectional neuroimaging studiesFractional anisotropyWhite matter hyperintensity volumeModifiable risk factorsWhite matter injuryPresence of denturesMendelian randomizationMiddle-aged personsFA scoreMiddle-aged participantsLoose teethCardiovascular diseaseHyperintensity volumeBrain MRIModifiable processEarly interventionAssociation of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018
Kaltenhauser S, Weber C, Lin H, Mozayan A, Malhotra A, Constable R, Acosta J, Falcone G, Taylor S, Ment L, Sheth K, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Network Open 2023, 6: e2314193. PMID: 37200030, PMCID: PMC10196880, DOI: 10.1001/jamanetworkopen.2023.14193.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexWaist circumferenceBMI z-scoreCross-sectional studyBrain healthCross-sectional analysisFunctional connectivityMass indexMean ageInterval developmentCorpus callosumAssociation of BMIHigher baseline body mass indexBaseline cross-sectional analysisBaseline body mass indexBrain integrityResting-state functional connectivityLongitudinal analysisFuture treatment trialsABCD studyLower microstructural integrityCognitive Development StudyAdolescent Brain Cognitive Development (ABCD) studyCardiovascular implications
2022
Deep 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 ResearchMeSH KeywordsDeep LearningHumansNeural Networks, ComputerNeuroimagingReproducibility of ResultsStrokeConceptsDeep 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 makingAnalysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia
Acosta JN, Both CP, Rivier C, Szejko N, Leasure AC, Gill TM, Payabvash S, Sheth KN, Falcone GJ. Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia. JAMA Network Open 2022, 5: e2215328. PMID: 35622359, PMCID: PMC9142873, DOI: 10.1001/jamanetworkopen.2022.15328.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBrainCohort StudiesDementiaFemaleGenomicsHumansMaleNeuroimagingRisk FactorsStrokeUnited StatesConceptsBrain healthBrain volumeMagnetic resonance imagingLower mean volumeLifestyle factorsCardiovascular healthLarge population-based cohort studyLife's Simple 7 (LS7) scoresPopulation-based cohort studyBrain magnetic resonance imagingMean volumeWhite matter hyperintensity volumeBrain health benefitsCommunity-dwelling personsImproved brain healthOutcomes of interestUK BiobankFinal analytical sampleAsymptomatic personsCohort studyLS7 scoreNeuroimaging markerHyperintensity volumeMAIN OUTCOMEGenetic predisposition
2021
Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage
Mazurek MH, Cahn BA, Yuen MM, Prabhat AM, Chavva IR, Shah JT, Crawford AL, Welch EB, Rothberg J, Sacolick L, Poole M, Wira C, Matouk CC, Ward A, Timario N, Leasure A, Beekman R, Peng TJ, Witsch J, Antonios JP, Falcone GJ, Gobeske KT, Petersen N, Schindler J, Sansing L, Gilmore EJ, Hwang DY, Kim JA, Malhotra A, Sze G, Rosen MS, Kimberly WT, Sheth KN. Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage. Nature Communications 2021, 12: 5119. PMID: 34433813, PMCID: PMC8387402, DOI: 10.1038/s41467-021-25441-6.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingNIH Stroke ScaleIntracerebral hemorrhageHematoma volumeYale-New Haven HospitalStroke care pathwayConventional magnetic resonance imagingBoard-certified neuroradiologistsNew Haven HospitalResource-limited settingsStroke ScaleClinical outcomesLow-field magnetic resonance imagingCare pathwayLow-field magnetic resonanceRadiological examinationConventional neuroimagingAdvanced MRI technologiesResonance imagingCases of disagreementHemorrhageMRI technologyPortable MRINeuroimagingMagnetic resonance
2020
Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage
Biffi A, Urday S, Kubiszewski P, Gilkerson L, Sekar P, Rodriguez-Torres A, Bettin M, Charidimou A, Pasi M, Kourkoulis C, Schwab K, DiPucchio Z, Behymer T, Osborne J, Morgan M, Moomaw CJ, James ML, Greenberg SM, Viswanathan A, Gurol ME, Worrall BB, Testai FD, McCauley JL, Falcone GJ, Langefeld CD, Anderson CD, Kamel H, Woo D, Sheth KN, Rosand J. Combining Imaging and Genetics to Predict Recurrence of Anticoagulation-Associated Intracerebral Hemorrhage. Stroke 2020, 51: 2153-2160. PMID: 32517581, PMCID: PMC7311289, DOI: 10.1161/strokeaha.120.028310.Peer-Reviewed Original ResearchConceptsCortical superficial siderosisICH recurrenceCerebral microbleedsSuperficial siderosisIntracerebral hemorrhageRecurrent ICHMRI markersOral anticoagulation therapyPotent risk factorRecurrent hemorrhagic strokeLongitudinal cohort studyLow-risk categoryLow-risk individualsΕ2/ε4ICH survivorsAnticoagulation therapyCohort studyHemorrhagic strokeProspective studyRecurrence rateΕ4 variantRisk factorsClinical impactERICH studyΕ4 alleleGenetic underpinnings of cerebral edema in acute brain injury: an opportunity for pathway discovery
Kirsch E, Szejko N, Falcone GJ. Genetic underpinnings of cerebral edema in acute brain injury: an opportunity for pathway discovery. Neuroscience Letters 2020, 730: 135046. PMID: 32464484, PMCID: PMC7372633, DOI: 10.1016/j.neulet.2020.135046.Peer-Reviewed Original ResearchConceptsAcute brain injuryCerebral edemaBrain injuryEdema formationIntracerebral hemorrhageWorse outcomesBlood-brain barrier disruptionSecondary brain injuryBrain edema formationTraumatic brain injuryApolipoprotein E geneSecondary injuryBarrier disruptionVasogenic edemaCytotoxic edemaInflammatory processUseful intermediate phenotypeEdemaTherapeutic targetAquaporin-4Haptoglobin geneInjuryHp 2Novel susceptibility genesNon-white populations
2013
Predictors of Hematoma Volume in Deep and Lobar Supratentorial Intracerebral Hemorrhage
Falcone GJ, Biffi A, Brouwers HB, Anderson CD, Battey TW, Ayres AM, Vashkevich A, Schwab K, Rost NS, Goldstein JN, Viswanathan A, Greenberg SM, Rosand J. Predictors of Hematoma Volume in Deep and Lobar Supratentorial Intracerebral Hemorrhage. JAMA Neurology 2013, 70: 988-994. PMID: 23733000, PMCID: PMC3808840, DOI: 10.1001/jamaneurol.2013.98.Peer-Reviewed Original ResearchConceptsLobar intracerebral hemorrhageIntensity of anticoagulationIntracerebral hemorrhageICH volumeHematoma volumeIndependent predictorsLobar supratentorial intracerebral haemorrhageProspective cohort studyCoronary artery diseaseSupratentorial intracerebral hemorrhageMedian ICH volumePrimary ICH patientsComputed tomography scanMultivariable linear regressionAcademic medical centerIntracerebral hemorrhage volumeLobar hemorrhageAntiplatelet treatmentRadiological outcomesArtery diseaseCohort studyDeep hemorrhagesICH locationICH patientsMale sex