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Seizure|November 6, 2017
A multi-dataset time-reversal approach to clinical trial placebo response and the relationship to natural variability in epilepsyDaniel M Goldenholz, Alex Strashny, Mark Cook, et al.
Epilepsy Research|March 16, 2020
Natural variability in seizure frequency: Implications for trials and placeboJuan Romero, Phil Larimer, Bernard Chang, et al.
Epilepsia Open|June 9, 2018
Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variabilitySharon Chiang, Marina Vannucci, Daniel M Goldenholz, et al.
Epilepsia|September 17, 2024
Statistical characteristics of large-scale objective tonic-clonic seizure records from medical smartwatches used in daily lifeBoyu Zhang, Weixuan V Chen, Giulia Regalia, et al.
Pediatric Neurology|July 22, 2021
Patterns of Recording Epileptic Spasms in an Electronic Seizure Diary Compared With Video-EEG and Historical CohortsBrian LaGrant, Daniel M Goldenholz, Marvin Braun, et al.
Epilepsia|September 1, 2019
When can we trust responders? Serious concerns when using 50% response rate to assess clinical trialsPhilippa J Karoly, Juan Romero, Mark J Cook, et al.
Annals of Neurology|June 23, 2020
Development and Validation of Forecasting Next Reported Seizure Using e-DiariesDaniel M Goldenholz, Shira R Goldenholz, Juan Romero, et al.
Neuroimage|November 29, 2011
The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging dataR J Cooper, Louis Gagnon, Daniel M Goldenholz, et al.
The Lancet. Digital Health|February 16, 2023
Does deidentification of data from wearable devices give us a false sense of security? A systematic reviewLucy Chikwetu, Yu Miao, Melat K Woldetensae, et al.
Epilepsia Open|September 7, 2018
Characteristics of large patient-reported outcomes: Where can one million seizures get us?Victor Ferastraoaru, Daniel M Goldenholz, Sharon Chiang, et al.
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