2018
Normative human brain volume growth.
Peterson M, Warf B, Schiff S. Normative human brain volume growth. Journal Of Neurosurgery Pediatrics 2018, 21: 478-485. PMID: 29498607, PMCID: PMC6212293, DOI: 10.3171/2017.10.peds17141.Peer-Reviewed Original ResearchConceptsStatistical measuresPower lawNonlinear least-squares regression algorithmGood statistical resultsLeast squares regression algorithmCurve fitCandidate modelsCorresponding statisticsAppropriate statistical measuresFit parametersStatistical resultsRegression algorithmWeibull fitWeibull modelNormative MRI dataPotential modelFitVolume growthGompertz modelBest modelModelModel curve fitWeibullLawStatistics
2017
Expansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance
Geronimo A, Sheldon K, Broach J, Simmons Z, Schiff S. Expansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance. Scientific Reports 2017, 7: 8875. PMID: 28827593, PMCID: PMC5567164, DOI: 10.1038/s41598-017-08857-3.Peer-Reviewed Original ResearchConceptsAmyotrophic lateral sclerosisLateral sclerosisFrontotemporal dementiaExpansion of C9ORF72Multiple neurodegenerative disordersHealthy controlsSymptom ratesHigh prevalenceAltered pathologyNeurodegenerative disordersBrain functionPatientsC9orf72 geneSclerosisAbnormal expansionPersonalized assessmentPsychological changesRepeat expansionBrain-computer interface performanceFurther explorationBCI taskHexanucleotide GGGGCCDementiaPrevalencePathology
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 observability
2011
Toward a Model-Based Predictive Controller Design in Brain–Computer Interfaces
Kamrunnahar M, Dias N, Schiff S. Toward a Model-Based Predictive Controller Design in Brain–Computer Interfaces. Annals Of Biomedical Engineering 2011, 39: 1482-1492. PMID: 21267657, PMCID: PMC3655721, DOI: 10.1007/s10439-011-0248-y.Peer-Reviewed Original ResearchConceptsModel-based predictive controllerController designPredictive controller designAR model parametersPredictive controllerFilter applicationsControllerInterface applicationsModel-based featuresModel parametersBrain-computer interface applicationsPerformanceApplicationsParametersDesignInterfaceBCI applications
2010
Towards model-based control of Parkinson's disease
Schiff S. Towards model-based control of Parkinson's disease. Philosophical Transactions Of The Royal Society A Mathematical Physical And Engineering Sciences 2010, 368: 2269-2308. PMID: 20368246, PMCID: PMC2944387, DOI: 10.1098/rsta.2010.0050.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsComputer SimulationGlobus PallidusHumansModels, BiologicalNerve NetNeurosciencesParkinson DiseaseThalamus
2009
Data assimilation for heterogeneous networks: The consensus set
Sauer T, Schiff S. Data assimilation for heterogeneous networks: The consensus set. Physical Review E 2009, 79: 051909. PMID: 19518482, PMCID: PMC2951269, DOI: 10.1103/physreve.79.051909.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationDatabases, ProteinGene Expression ProfilingModels, BiologicalProteomeSignal TransductionConceptsHeterogeneous networksEnsemble Kalman filteringData assimilationDynamical networksNetwork experimentsPhysical networkNonstationary environmentsKalman filteringModel networksNetworkAccurate reconstructionUnobserved variablesConsensus setTrackingFilteringBroad applicabilityImplementationOscillatorSetEnvironment
2007
Dynamical Evolution of Spatiotemporal Patterns in Mammalian Middle Cortex
Schiff S, Huang X, Wu J. Dynamical Evolution of Spatiotemporal Patterns in Mammalian Middle Cortex. Physical Review Letters 2007, 98: 178102. PMID: 17501537, PMCID: PMC2039901, DOI: 10.1103/physrevlett.98.178102.Peer-Reviewed Original Research
2002
Limits to the experimental detection of nonlinear synchrony
So P, Barreto E, Josić K, Sander E, Schiff S. Limits to the experimental detection of nonlinear synchrony. Physical Review E 2002, 65: 046225. PMID: 12005994, DOI: 10.1103/physreve.65.046225.Peer-Reviewed Original Research