about
Confusing placebo effect with natural history in epilepsy: A big data approachMapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging dataTreatment of γ-aminobutyric acid B receptor-antibody autoimmune encephalitis with oral corticosteroids.Preoperative prediction of temporal lobe epilepsy surgery outcome.A big data approach to the development of mixed-effects models for seizure count data.Long-term monitoring of cardiorespiratory patterns in drug-resistant epilepsy.Monte Carlo simulations of randomized clinical trials in epilepsy.Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling.Right brain: how to treat the untreatable.Teaching neuroimages: fungus in the brain: coccidioidomycosis meningoencephalitis.Is seizure frequency variance a predictable quantity?Common data elements for epilepsy mobile health systems.Postoperative EEG association with seizure recurrence: Analysis of the NIH epilepsy surgery database.Simulating Clinical Trials With and Without Intracranial EEG Data.Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability.Media and book reviews: Medications: how can we know them all?Interictal scalp fast oscillations as a marker of the seizure onset zoneDifferent as night and day: Patterns of isolated seizures, clusters, and status epilepticusInsufficient Sleep, Electroencephalogram Activation, and Seizure Risk: Re-Evaluating the EvidenceComparing the efficacy, exposure, and cost of clinical trial analysis methodsCharacteristics of large patient-reported outcomes: Where can one million seizures get us?Prospective validation study of an epilepsy seizure risk system for outpatient evaluationDaylight saving time transitions are not associated with increased seizure incidenceWhen can we trust responders? Serious concerns when using 50% response rate to assess clinical trialsMachine learning applications in epilepsyDevelopment and validation of forecasting next reported seizure using e-diaries
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P50
description
hulumtues
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researcher
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wetenschapper
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հետազոտող
@hy
name
Daniel Goldenholz
@ast
Daniel Goldenholz
@en
Daniel Goldenholz
@es
Daniel Goldenholz
@fr
Daniel Goldenholz
@nl
Daniel Goldenholz
@sl
type
label
Daniel Goldenholz
@ast
Daniel Goldenholz
@en
Daniel Goldenholz
@es
Daniel Goldenholz
@fr
Daniel Goldenholz
@nl
Daniel Goldenholz
@sl
prefLabel
Daniel Goldenholz
@ast
Daniel Goldenholz
@en
Daniel Goldenholz
@es
Daniel Goldenholz
@fr
Daniel Goldenholz
@nl
Daniel Goldenholz
@sl
P106
P21
P31
P496
0000-0002-8370-2758