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Gilles de Hollander
Gilles de Hollander
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KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
1162018
Towards a mechanistic understanding of the human subcortex
BU Forstmann, G de Hollander, L van Maanen, A Alkemade, MC Keuken
Nature Reviews Neuroscience 18 (1), 57-65, 2017
972017
Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI
A Alkemade, G de Hollander, MC Keuken, A Schäfer, DVM Ott, J Schwarz, ...
PloS one 12 (4), e0176130, 2017
772017
MP2RAGEME: T1, T2*, and QSM mapping in one sequence at 7 tesla
MWA Caan, PL Bazin, JP Marques, G de Hollander, SO Dumoulin, ...
Human brain mapping 40 (6), 1786-1798, 2019
732019
Comparing functional MRI protocols for small, iron‐rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T
G de Hollander, MC Keuken, W van der Zwaag, BU Forstmann, ...
Human brain mapping 38 (6), 3226-3248, 2017
722017
A gradual increase of iron toward the medial‐inferior tip of the subthalamic nucleus
G de Hollander, MC Keuken, PL Bazin, M Weiss, J Neumann, K Reimann, ...
Human brain mapping, 2014
652014
The subcortical cocktail problem; mixed signals from the subthalamic nucleus and substantia nigra
G de Hollander, MC Keuken, BU Forstmann
PloS one 10 (3), e0120572, 2015
592015
Different ways of linking behavioral and neural data via computational cognitive models
G de Hollander, BU Forstmann, SD Brown
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1 (2), 101-109, 2016
502016
The functional microscopic neuroanatomy of the human subthalamic nucleus
A Alkemade, G de Hollander, S Miletic, MC Keuken, R Balesar, O de Boer, ...
Brain Structure and Function 224, 3213-3227, 2019
292019
The importance of standards for sharing of computational models and data
RA Poldrack, F Feingold, MJ Frank, P Gleeson, G de Hollander, ...
Computational Brain & Behavior 2, 229-232, 2019
212019
Ultra-high field fMRI reveals origins of feedforward and feedback activity within laminae of human ocular dominance columns
G de Hollander, W van der Zwaag, C Qian, P Zhang, T Knapen
NeuroImage 228, 117683, 2021
202021
Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach
Y Salzer, G de Hollander, BU Forstmann
Neuroscience & Biobehavioral Reviews 77, 48-57, 2017
192017
Transcranial direct current stimulation does not influence the speed–accuracy tradeoff in perceptual decision-making: evidence from three independent studies
G de Hollander, L Labruna, R Sellaro, A Trutti, LS Colzato, R Ratcliff, ...
Journal of cognitive neuroscience 28 (9), 1283-1294, 2016
182016
The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository
F Karayanidis, MC Keuken, A Wong, JL Rennie, G de Hollander, ...
Neuroimage 124, 1137-1142, 2016
162016
qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data
A Karakuzu, S Appelhoff, T Auer, M Boudreau, F Feingold, AR Khan, ...
Scientific data 9 (1), 517, 2022
152022
Separable pupillary signatures of perception and action during perceptual multistability
JW Brascamp, G De Hollander, MD Wertheimer, AN DePew, T Knapen
Elife 10, e66161, 2021
142021
Summarization of meetings using word clouds
G de Hollander, M Marx
2011 CSI International Symposium on Computer Science and Software …, 2011
142011
An antidote to the imager's fallacy, or how to identify brain areas that are in limbo
G de Hollander, EJ Wagenmakers, L Waldorp, B Forstmann
PloS one 9 (12), e115700, 2014
132014
Individual risk attitudes arise from noise in neurocognitive magnitude representations
M Barretto-García, G de Hollander, M Grueschow, R Polanía, M Woodford, ...
Nature Human Behaviour 7 (9), 1551-1567, 2023
92023
qMRI-BIDS: an extension to the brain imaging data structure for quantitative magnetic resonance imaging data
A Karakuzu, S Appelhoff, T Auer, M Boudreau, F Feingold, AR Khan, ...
medRxiv, 2021.10. 22.21265382, 2021
52021
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