Nipype KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ... Software, 2018 | 134 | 2018 |
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 | 107 | 2017 |
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 | 86 | 2019 |
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 | 83 | 2017 |
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 | 79 | 2017 |
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 | 67 | 2014 |
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 | 64 | 2015 |
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 | 54 | 2016 |
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 | 35 | 2019 |
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 | 29 | 2021 |
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 | 25 | 2019 |
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 | 21 | 2022 |
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 | 19 | 2016 |
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 | 18 | 2017 |
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 | 16 | 2021 |
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 | 16 | 2016 |
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 | 15 | 2023 |
Summarization of meetings using word clouds G de Hollander, M Marx 2011 CSI International Symposium on Computer Science and Software …, 2011 | 14 | 2011 |
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 | 13 | 2014 |
nipy/nipype: 1.8. 3 O Esteban, CJ Markiewicz, C Burns, M Goncalves, D Jarecka, E Ziegler, ... Published online July 14, 2022 | 10 | 2022 |