Daniel Goldenholz
Daniel Goldenholz
Beth Israel Deaconess Medical Center
Verified email at bidmc.harvard.edu - Homepage
Cited by
Cited by
Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling
L Gagnon, K Perdue, DN Greve, D Goldenholz, G Kaskhedikar, DA Boas
Neuroimage 56 (3), 1362-1371, 2011
Mapping the signal‐to‐noise‐ratios of cortical sources in magnetoencephalography and electroencephalography
DM Goldenholz, SP Ahlfors, MS Hämäläinen, D Sharon, M Ishitobi, ...
Human brain mapping 30 (4), 1077-1086, 2009
Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study
PJ Karoly, DM Goldenholz, DR Freestone, RE Moss, DB Grayden, ...
The Lancet Neurology 17 (11), 977-985, 2018
Machine learning applications in epilepsy
B Abbasi, DM Goldenholz
Epilepsia 60 (10), 2037-2047, 2019
Confusing placebo effect with natural history in epilepsy: a big data approach
DM Goldenholz, R Moss, J Scott, S Auh, WH Theodore
Annals of neurology 78 (3), 329-336, 2015
Portable digital direct ophthalmoscope
DM Goldenholz
US Patent App. 13/152,113, 2011
The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data
RJ Cooper, L Gagnon, DM Goldenholz, DA Boas, DN Greve
NeuroImage 59 (4), 3128-3138, 2012
Response to placebo in clinical epilepsy trials—old ideas and new insights
DM Goldenholz, SR Goldenholz
Epilepsy research 122, 15-25, 2016
Long‐term monitoring of cardiorespiratory patterns in drug‐resistant epilepsy
DM Goldenholz, A Kuhn, A Austermuehle, M Bachler, C Mayer, ...
Epilepsia 58 (1), 77-84, 2017
Are the days of counting seizures numbered?
P Karoly, DM Goldenholz, M Cook
Current opinion in neurology 31 (2), 162-168, 2018
Characteristics of large patient‐reported outcomes: where can one million seizures get us?
V Ferastraoaru, DM Goldenholz, S Chiang, R Moss, WH Theodore, ...
Epilepsia open 3 (3), 364-373, 2018
Is seizure frequency variance a predictable quantity?
DM Goldenholz, SR Goldenholz, R Moss, J French, D Lowenstein, ...
Annals of clinical and translational neurology 5 (2), 201-207, 2018
Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability
S Chiang, M Vannucci, DM Goldenholz, R Moss, JM Stern
Epilepsia Open 3 (2), 236-246, 2018
Common data elements for epilepsy mobile health systems
DM Goldenholz, R Moss, DA Jost, NE Crone, G Krauss, R Picard, ...
Epilepsia 59 (5), 1020-1026, 2018
Development and validation of forecasting next reported seizure using e‐diaries
DM Goldenholz, SR Goldenholz, J Romero, R Moss, H Sun, B Westover
Annals of neurology 88 (3), 588-595, 2020
A big data approach to the development of mixed‐effects models for seizure count data
JJ Tharayil, S Chiang, R Moss, JM Stern, WH Theodore, DM Goldenholz
Epilepsia 58 (5), 835-844, 2017
Liquid computing: A real effect
D Goldenholz
BE707 Final Project. Boston, Boston University School of Medicine. http …, 2002
Different as night and day: patterns of isolated seizures, clusters, and status epilepticus
DM Goldenholz, K Rakesh, K Kapur, M Gaínza‐Lein, R Hodgeman, ...
Epilepsia 59 (5), e73-e77, 2018
Insufficient sleep, electroencephalogram activation, and seizure risk: re‐evaluating the evidence
KC Rossi, J Joe, M Makhija, DM Goldenholz
Annals of neurology 87 (6), 798-806, 2020
Does accounting for seizure frequency variability increase clinical trial power?
DM Goldenholz, SR Goldenholz, R Moss, J French, D Lowenstein, ...
Epilepsy research 137, 145-151, 2017
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