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One or more keywords matched the following properties of Van Drongelen, Wim
keywords Signal Processing
overview Research Interests- Understanding mechanisms underlying Epilepsy Epilepsy is a serious neurological disorder characterized by seizures. About 1% of the world population is affected by this disease and a fraction of 1/3 of patients does not respond to medication. In order to help us understand the pathological behavior we observe during the brain’s epileptiform activity, our group applies a variety of engineering techniques including advanced statistical and digital signal processing, non-linear dynamics, and modeling (link to basic texts) (link to second edition text). The ultimate goal of the research in our lab is to address this enormous problem by improved understanding of the mechanisms that govern different types of epilepsy. See the lab website for further details, teaching, and videos on lectures Our research approach is interdisciplinary, including: Mathematical modeling Computational modeling Animal models Study of tissue from patients with epilepsy Analysis of clinical recordings
One or more keywords matched the following items that are connected to Van Drongelen, Wim
Item TypeName
Concept Image Processing, Computer-Assisted
Concept Signal Processing, Computer-Assisted
Concept Stochastic Processes
Academic Article Localization of brain electrical activity via linearly constrained minimum variance spatial filtering.
Academic Article EEG source imaging: correlating source locations and extents with electrocorticography and surgical resections in epilepsy patients.
Academic Article Spectral analysis of time series of events: effect of respiration on heart rate in neonates.
Academic Article Comparison of seizure detection algorithms in continuously monitored pediatric patients.
Academic Article Avalanches in a stochastic model of spiking neurons.
Academic Article Cortical activation mapping of epileptiform activity derived from interictal ECoG spikes.
Academic Article Identification of epileptogenic foci from causal analysis of ECoG interictal spike activity.
Academic Article A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method.
Academic Article EEG, temporal correlations, and avalanches.
Academic Article Neocortical seizure foci localization by means of a directed transfer function method.
Academic Article Large-scale modeling of epileptic seizures: scaling properties of two parallel neuronal network simulation algorithms.
Academic Article Third-order motifs are sufficient to fully and uniquely characterize spatiotemporal neural network activity.
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  • Processing