| Machine learning applications in epilepsy B Abbasi, DM Goldenholz Epilepsia 60 (10), 2037-2047, 2019 | 276 | 2019 |
| 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 | 274 | 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 | 270 | 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 | 201 | 2018 |
| Portable digital direct ophthalmoscope DM Goldenholz US Patent App. 13/152,113, 2011 | 63 | 2011 |
| 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 | 62 | 2015 |
| Response to placebo in clinical epilepsy trials—old ideas and new insights DM Goldenholz, SR Goldenholz Epilepsy research 122, 15-25, 2016 | 52 | 2016 |
| 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 | 51 | 2018 |
| Electroencephalographic abnormalities are common in COVID‐19 and are associated with outcomes L Lin, A Al‐Faraj, N Ayub, P Bravo, S Das, L Ferlini, I Karakis, JW Lee, ... Annals of neurology 89 (5), 872-883, 2021 | 48 | 2021 |
| 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 | 44 | 2017 |
| Are the days of counting seizures numbered? P Karoly, DM Goldenholz, M Cook Current Opinion in Neurology 31 (2), 162-168, 2018 | 42 | 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 | 41 | 2020 |
| 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 | 41 | 2012 |
| 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 | 36 | 2018 |
| 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 | 31 | 2017 |
| 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 | 28 | 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 | 28 | 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 | 25 | 2020 |
| 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 | 25 | 2018 |
| 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 | 24 | 2017 |
William TheodoreVerified email at ninds.nih.gov
