ProjectsI’m working on a Dutch-Chinese NWO/CAS grant on the neural substrates of top-down and bottom-up processes during binocular rivalry, together with Tomas Knapen. We use laminar-resolved functional MRI 7 Tesla, to dissociate between these bottom-up and top-down processes.
BiographyIn 2012 I obtained a Master’s degree in Artificial Intelligence at the University of Amsterdam. From 2012 to 2017 I worked a s PhD-student in the lab of Birte Forstmann, investigating the role of the subthalamic nucleus during decision-making and the internal functional anatomy of this (very small) nucleus. To do so, we used computational cognitive models and ultra-high field MRI (7 Tesla), as well as post-mortem histology. I also did a study on the influence of brain stimulation (tDCS) on speeded decision-making, in collaboration with professor Rich Ivry at the University of California, Berkeley and worked with professor Scott Brown at the University of Newcastle, Australia on a theoretical paper on different approaches in model-based neuroscience.
Research interestI am interested in understanding how people make decisions in day-to-day life. To do so, I think it is essential to use formal models that can steer and restrain our intuitions. I also think functional MRI offers a fantastic tool to further substantiate these models. I am very excited about the novel opportunities that MRI at ultra-high fields offers us in terms of increase spatial-resolution and signal-to-noise ratios.
|R Poldrack, F Feingold, M Frank, P Gleeson, G de Hollander, QJM Huys & ... (2019) The importance of standards for sharing of computational models and data. PsyArXiv||1|
|MWA Caan, PL Bazin, JP Marques, G de Hollander, SO Dumoulin & ... (2019) MP2RAGEME: T1, T2*, and QSM mapping in one sequence at 7 tesla. Human Brain Mapping 40 (6), 1786-1798||4|
|Y Salzer, G de Hollander, L van Maanen & BU Forstmann (2019) A neural substrate of early response capture during conflict tasks in sensory areas. Neuropsychologia 124, 226-235|
|G de Hollander, W van der Zwaag & THJ Knapen (2018) Submillimeter 7 Tesla fMRI in Primary Visual Cortex during monocular stimulation. Human Brain Mapping|
|G de Hollander, ER Kupers, J Brascamp & THJ Knapen (2018) A biphasic temporal pattern in pupil size around perceptual switches in binocular rivalry. Cognitive Computational Neuroscience|
|G de Hollander (2018) Understanding the human subcortex using ultra-high field MRI and computational cognitive models.|
|G de Hollander, MC Keuken, W van der Zwaag, BU Forstmann & ... (2017) Comparing functional MRI protocols for small, iron‐rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T. Human Brain Mapping 38 (6), 3226-3248||16|
|Y Salzer, G de Hollander & BU Forstmann (2017) Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach. Neuroscience & Biobehavioral Reviews 77, 48-57||6|
|A Alkemade, G de Hollander, MC Keuken, A Schäfer, DVM Ott, J Schwarz & ... (2017) Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI. PloS one 12 (4), e0176130||20|
|BU Forstmann, G de Hollander, L van Maanen, A Alkemade & MC Keuken (2017) Towards a mechanistic understanding of the human subcortex. Nature Reviews Neuroscience 18 (1), 57||30|
|G de Hollander, L Labruna, R Sellaro, A Trutti, LS Colzato, R Ratcliff & ... (2016) Transcranial direct current stimulation does not Influence the speed–accuracy tradeoff in perceptual decision-making: evidence from three independent studies. Journal of cognitive neuroscience 28 (9), 1283-1294||7|
|G de Hollander, R Trampel, BU Forstmann & W van der Zwaag (2016) Submillimeter resolution fMRI in the midbrain: Measuring T2* changes to a stop-task. 24th Annual Meeting of the International Society for Magnetic Resonance in …|
|G de Hollander, BU Forstmann & SD Brown (2016) Different ways of linking behavioral and neural data via computational cognitive models. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1 (2), 101-109||26|
|G de Hollander (2016) Combining computational models of cognition and neural data to learn about mixed task strategies. Journal of Neuroscience 36 (1), 1-3|
|F Karayanidis, MC Keuken, A Wong, JL Rennie, G de Hollander & ... (2016) The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository. NeuroImage 124, 1137-1142||8|
|BU Forstmann, M Keuken, R Trampel & G de Hollander (2015) Optimizing functional MRI sequences at 7 Tesla for subcortical nuclei. 45th Annual Meeting of the Society for Neuroscience (SfN)|
|G de Hollander, MC Keuken & BU Forstmann (2015) The subcortical cocktail problem; mixed signals from the subthalamic nucleus and substantia nigra. PloS one 10 (3), e0120572||30|
|G de Hollander, EJ Wagenmakers, L Waldorp & B Forstmann (2014) An Antidote to the Imager's Fallacy, or How to Identify Brain Areas That Are in Limbo. PloS one 9 (12), e115700||4|
|G de Hollander, MC Keuken, PL Bazin, M Weiss, J Neumann, K Reimann & ... (2014) A gradual increase of iron toward the medial‐inferior tip of the subthalamic nucleus. Human brain mapping||34|
|G de Hollander, EJ Wagenmakers, L Waldorp & B Forstmann (2014) An antidote to the imager's fallacy, or how to identify brain areas that are.|