2024
Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges
Jiang S, Pei H, Chen J, Li H, Liu Z, Wang Y, Gong J, Wang S, Li Q, Duan M, Calhoun V, Yao D, Luo C. Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges. International Journal Of Neural Systems 2024, 34: 2450017. PMID: 38372049, DOI: 10.1142/s0129065724500175.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingCerebellumElectroencephalographyEpilepsyEpilepsy, GeneralizedHumansImmunoglobulin EMagnetic Resonance ImagingConceptsSalience networkSensorimotor cortexFunctional magnetic resonance imaging dataModerating effectInterictal epileptic dischargesIdiopathic generalized epilepsyMagnetic resonance imaging dataInteraction of regionsDecreased connectivityStriatumDMNThalamocortical circuitsCortical interactionsSimultaneous electroencephalogramCortical targetsEpileptic dischargesCerebellumThalamusHierarchical connectionEpileptic networkNeuromodulation techniquesIndirect moderating effectStateCryptogenic etiology
2023
Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence
Tveit J, Aurlien H, Plis S, Calhoun V, Tatum W, Schomer D, Arntsen V, Cox F, Fahoum F, Gallentine W, Gardella E, Hahn C, Husain A, Kessler S, Kural M, Nascimento F, Tankisi H, Ulvin L, Wennberg R, Beniczky S. Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence. JAMA Neurology 2023, 80: 805-812. PMID: 37338864, PMCID: PMC10282956, DOI: 10.1001/jamaneurol.2023.1645.Peer-Reviewed Original ResearchMeSH KeywordsAdultArtificial IntelligenceElectroencephalographyEpilepsyHumansMaleNeural Networks, ComputerReproducibility of ResultsConceptsPublishing AI modelsAI modelsArtificial intelligenceTesting data setsHuman expertsAutomated interpretationConvolutional neural network modelHuman expert level performanceElectroencephalogram data setsData setsRoutine electroencephalogramNeural network modelExpert-level performanceMulticenter diagnostic accuracy studyReference standardAbnormal EEG recordingsVideo-EEG recordingsDetection of epileptiform abnormalitiesRecords of patientsReceiver operating characteristic curveSingle-center dataArea under the receiver operating characteristic curveDevelopment dataDiagnostic accuracy studiesNetwork modelA Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis*
Ellis C, Miller R, Calhoun V. A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis*. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38083554, DOI: 10.1109/embc40787.2023.10340375.Peer-Reviewed Original Research