2021
Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus
Harper JR, Cherukuri V, O’Reilly T, Yu M, Mbabazi-Kabachelor E, Mulando R, Sheth KN, Webb AG, Warf BC, Kulkarni AV, Monga V, Schiff SJ. Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus. NeuroImage Clinical 2021, 32: 102896. PMID: 34911199, PMCID: PMC8646178, DOI: 10.1016/j.nicl.2021.102896.Peer-Reviewed Original ResearchConceptsDeep learning enhancementLow-quality imagesDeep learningQuality imagesDeep learning algorithmsEnhanced imageRole of machineLearning enhancementImage qualityLearning algorithmAcceptable image qualityReconstruction errorImage resolutionImagesAlgorithmCT imagesLearningCT counterpartsNoise ratioTreatment planningPlanningNew standardStructural errorsExperienced pediatric neurosurgeonsMachineNormal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid
Peterson M, Cherukuri V, Paulson J, Ssentongo P, Kulkarni A, Warf B, Monga V, Schiff S. Normal childhood brain growth and a universal sex and anthropomorphic relationship to cerebrospinal fluid. Journal Of Neurosurgery Pediatrics 2021, 28: 458-468. PMID: 34243147, PMCID: PMC8594737, DOI: 10.3171/2021.2.peds201006.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsAnalysis of VarianceAnthropometryBody WeightBrainCerebrospinal FluidChildChild DevelopmentChild, PreschoolCohort StudiesFemaleFunctional LateralityHumansHydrocephalusInfantInfant, NewbornMagnetic Resonance ImagingMaleOrgan SizePopulationReference StandardsSex CharacteristicsConceptsBrain growthBrain volumeFluid accumulationRatio of brainHealthy pediatric subjectsTotal brain volumeAge 18 yearsYears of ageRegional brain volumesNormal brain growthAge-dependent relationshipCSF accumulationPediatric subjectsChildhood diseasesCerebrospinal fluidCSF volumeCongenital disorderVolume trajectoriesEarly childhoodNormative growth curvesNumerous conditionsSexMagnetic resonanceBrain size
2017
Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans
Cherukuri V, Ssenyonga P, Warf B, Kulkarni A, Monga V, Schiff S. Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans. IEEE Transactions On Biomedical Engineering 2017, 65: 1871-1884. PMID: 29989926, PMCID: PMC6062853, DOI: 10.1109/tbme.2017.2783305.Peer-Reviewed Original Research
2016
Design of a mobile, homogeneous, and efficient electromagnet with a large field of view for neonatal low-field MRI
Lother S, Schiff S, Neuberger T, Jakob P, Fidler F. Design of a mobile, homogeneous, and efficient electromagnet with a large field of view for neonatal low-field MRI. Magnetic Resonance Materials In Physics, Biology And Medicine 2016, 29: 691-698. PMID: 26861046, PMCID: PMC5695548, DOI: 10.1007/s10334-016-0525-8.Peer-Reviewed Original ResearchConceptsCryogen-free systemField mapping measurementsHigh B0 fieldsLow field devicesLow power consumptionSteel platesLight weightMagnetic resonance imaging systemSimple fabricationNumerical optimization algorithmHomogeneous magnetic fieldPower consumptionElectromagnetResonance imaging systemPower useB0 fieldLow-field scannersMagnetic fieldLow-field MRIField strengthHigh homogeneityMedical applicationsField limitationsLarge fieldMagnets
2013
Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease
Gorzelic P, Schiff S, Sinha A. Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease. Journal Of Neural Engineering 2013, 10: 026016. PMID: 23449002, DOI: 10.1088/1741-2560/10/2/026016.Peer-Reviewed Original ResearchConceptsFeedback controller designController designPID controlHigh-level control strategyBetter controller performanceFeedback control methodFeedback control problemController performanceDerivative controlControl methodFeedback controllerControl inputControl lawControl strategyProportional controlOnline estimatesComputational modelControl problemConsiderable further reductionDerivative methodologyOptimal controlAdaptive methodRelay capabilityStimulation algorithmDesign
2012
Reconstructing Mammalian Sleep Dynamics with Data Assimilation
Sedigh-Sarvestani M, Schiff S, Gluckman B. Reconstructing Mammalian Sleep Dynamics with Data Assimilation. PLOS Computational Biology 2012, 8: e1002788. PMID: 23209396, PMCID: PMC3510073, DOI: 10.1371/journal.pcbi.1002788.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAnimalsComputational BiologyComputer SimulationModels, BiologicalRatsSleepWakefulnessConceptsUnscented Kalman filterData assimilationData assimilation frameworkParameter estimation methodNonlinear computational modelSleep-wake regulatory networkAssimilation frameworkUnknown parametersHidden variablesCovariance inflationNoisy variablesSlow dynamicsSparse measurementsComputational modelModel parametersKalman filterModel statesEstimation methodSimulation studyComplex systemsOptimal variablesFilter modelUKF frameworkModel variablesPartial observabilityRainfall drives hydrocephalus in East Africa.
Schiff S, Ranjeva S, Sauer T, Warf B. Rainfall drives hydrocephalus in East Africa. Journal Of Neurosurgery Pediatrics 2012, 10: 161-7. PMID: 22768966, DOI: 10.3171/2012.5.peds11557.Peer-Reviewed Original Research
2011
A square root ensemble Kalman filter application to a motor-imagery brain-computer interface
Kamrunnahar M, Schiff S. A square root ensemble Kalman filter application to a motor-imagery brain-computer interface. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2011, 2011: 6385-6388. PMID: 22255799, PMCID: PMC5699860, DOI: 10.1109/iembs.2011.6091576.Peer-Reviewed Original Research
2010
The dynamics of brain and cerebrospinal fluid growth in normal versus hydrocephalic mice.
Mandell J, Neuberger T, Drapaca C, Webb A, Schiff S. The dynamics of brain and cerebrospinal fluid growth in normal versus hydrocephalic mice. Journal Of Neurosurgery Pediatrics 2010, 6: 1-10. PMID: 20593980, DOI: 10.3171/2010.4.peds1014.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlgorithmsAnimalsAnimals, NewbornBrainCephalometryCerebral AqueductCerebral VentriclesDisease Models, AnimalFourier AnalysisFrontal LobeHydrocephalusImage Processing, Computer-AssistedImaging, Three-DimensionalIntracranial PressureLateral VentriclesMagnetic Resonance ImagingMathematical ComputingMiceMice, Inbred C57BLOccipital LobeOrgan SizeReference ValuesConceptsHydrocephalic miceBrain volumeClinical outcomesBrain growthVentricle volumeDynamics of brainCortical mantle thicknessPatterns of hydrocephalusOccipital horn ratioAccumulation of CSFTransmantle pressure gradientGrowth of brainVentricular ruptureParenchymal edemaVentricular sizeC57BL/6 miceTotal brainPercutaneous injectionAdjunct useHead circumferenceNormal miceCisterna magnaCSF volumeCognitive functionSerial quantificationFeature selection on movement imagery discrimination and attention detection
Dias N, Kamrunnahar M, Mendes P, Schiff S, Correia J. Feature selection on movement imagery discrimination and attention detection. Medical & Biological Engineering & Computing 2010, 48: 331-341. PMID: 20112135, PMCID: PMC2946110, DOI: 10.1007/s11517-010-0578-1.Peer-Reviewed Original Research
2009
Tracking and control of neuronal Hodgkin-Huxley dynamics
Ullah G, Schiff S. Tracking and control of neuronal Hodgkin-Huxley dynamics. Physical Review E 2009, 79: 040901. PMID: 19518166, PMCID: PMC2713719, DOI: 10.1103/physreve.79.040901.Peer-Reviewed Original ResearchThe influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics
Cressman J, Ullah G, Ziburkus J, Schiff S, Barreto E. The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: I. Single neuron dynamics. Journal Of Computational Neuroscience 2009, 26: 159-170. PMID: 19169801, PMCID: PMC2704057, DOI: 10.1007/s10827-008-0132-4.Peer-Reviewed Original ResearchConceptsSingle neuron dynamicsDetailed bifurcation analysisLarge amplitude oscillationsExtracellular ion concentration dynamicsMathematical modelBifurcation analysisDynamical mechanismIon concentration dynamicsNeuron dynamicsReasonable approximationFull modelCompanion paperDynamicsImportant fundamental processesConcentration dynamicsKalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience
Schiff S. Kalman Meets Neuron: The Emerging Intersection of Control Theory with Neuroscience. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 3318-3321. PMID: 19964302, PMCID: PMC3644303, DOI: 10.1109/iembs.2009.5333752.Peer-Reviewed Original ResearchConceptsControl theoryNonlinear control theoryModern control theoryKalman filtering techniqueSingle neuron dynamicsComplex network dataWave dynamicsModel networksControl frameworkComputational neuroscienceNeuron dynamicsFiltering techniqueAccurate reconstructionMature theoryTheoryDynamicsNetwork dataKalmanConsensus setNeuroscience modelsField
2008
The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics
Ullah G, Cressman Jr. J, Barreto E, Schiff S. The influence of sodium and potassium dynamics on excitability, seizures, and the stability of persistent states: II. Network and glial dynamics. Journal Of Computational Neuroscience 2008, 26: 171-183. PMID: 19083088, PMCID: PMC2951284, DOI: 10.1007/s10827-008-0130-6.Peer-Reviewed Original ResearchFully optimized discrimination of physiological responses to auditory stimuli
Kruglikov S, Chari S, Rapp P, Weinstein S, Given B, Schiff S. Fully optimized discrimination of physiological responses to auditory stimuli. Journal Of Neural Engineering 2008, 5: 133. PMID: 18430975, PMCID: PMC2535922, DOI: 10.1088/1741-2560/5/2/004.Peer-Reviewed Original Research
2007
Kalman filter control of a model of spatiotemporal cortical dynamics
Schiff S, Sauer T. Kalman filter control of a model of spatiotemporal cortical dynamics. Journal Of Neural Engineering 2007, 5: 1. PMID: 18310806, PMCID: PMC2276637, DOI: 10.1088/1741-2560/5/1/001.Peer-Reviewed Original ResearchConceptsNonlinear systemsSpiral wave dynamicsSpatiotemporal cortical dynamicsObserver systemSystem stateExcitable systemsWave dynamicsKalman filteringUnscented KalmanEstimate parametersNonlinear methodsControl signalsFilter controlWave patternsApplied electrical fieldExperimental applicationElectrical fieldDynamicsKalmanParametersSuch resultsModelSystemFilteringSuch approachesComparison of EEG Pattern Classification Methods for Brain-Computer Interfaces
Dias N, Kamrunnahar M, Mendes P, Schiff S, Correia J. Comparison of EEG Pattern Classification Methods for Brain-Computer Interfaces. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2007, 2007: 2540-2543. PMID: 18002512, DOI: 10.1109/iembs.2007.4352846.Peer-Reviewed Original Research
2005
Dangerous phase
Schiff S. Dangerous phase. Neuroinformatics 2005, 3: 315-317. PMID: 16284414, PMCID: PMC1469234, DOI: 10.1385/ni:3:4:315.Peer-Reviewed Original ResearchNeuronal spatiotemporal pattern discrimination: The dynamical evolution of seizures
Schiff S, Sauer T, Kumar R, Weinstein S. Neuronal spatiotemporal pattern discrimination: The dynamical evolution of seizures. NeuroImage 2005, 28: 1043-1055. PMID: 16198127, PMCID: PMC2078330, DOI: 10.1016/j.neuroimage.2005.06.059.Peer-Reviewed Original Research
2001
Adaptive Electric Field Control of Epileptic Seizures
Gluckman B, Nguyen H, Weinstein S, Schiff S. Adaptive Electric Field Control of Epileptic Seizures. Journal Of Neuroscience 2001, 21: 590-600. PMID: 11160438, PMCID: PMC6763796, DOI: 10.1523/jneurosci.21-02-00590.2001.Peer-Reviewed Original Research