fMRIPrep: a robust preprocessing pipeline for functional MRI O Esteban, CJ Markiewicz, RW Blair, CA Moodie, AI Isik, A Erramuzpe, ... Nature methods 16 (1), 111-116, 2019 | 2668 | 2019 |
Scanning the horizon: towards transparent and reproducible neuroimaging research RA Poldrack, CI Baker, J Durnez, KJ Gorgolewski, PM Matthews, ... Nature Reviews Neuroscience 18 (2), 115, 2017 | 1335 | 2017 |
Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... bioRxiv, 2019 | 978 | 2019 |
Young children’s use of smartphones and tablets JS Radesky, HM Weeks, R Ball, A Schaller, S Yeo, J Durnez, ... Pediatrics 146 (1), 2020 | 195 | 2020 |
neuRosim: an R package for generating fMRI data M Welvaert, J Durnez, B Moerkerke, G Verdoolaege, Y Rosseel Journal of Statistical Software 44 (10), 1-18, 2011 | 142 | 2011 |
Beyond screen time: a synergistic approach to a more comprehensive assessment of family media exposure during early childhood R Barr, H Kirkorian, J Radesky, S Coyne, D Nichols, O Blanchfield, ... Frontiers in Psychology 11, 1283, 2020 | 139 | 2020 |
Preprocessed Consortium for Neuropsychiatric Phenomics dataset KJ Gorgolewski, J Durnez, RA Poldrack F1000Research 6, 2017 | 85 | 2017 |
Power and sample size calculations for fMRI studies based on the prevalence of active peaks. J Durnez, J Degryse, B Moerkerke, R Seurinck, V Sochat, R Poldrack, ... BioRxiv, 049429, 2016 | 66 | 2016 |
Post-hoc power estimation for topological inference in fMRI J Durnez, B Moerkerke, TE Nichols NeuroImage 84, 45-64, 2014 | 40 | 2014 |
Power and sample size calculations for fmri studies based on the prevalence of active peaks. bioRxiv, 049429 J Durnez, J Degryse, B Moerkerke, R Seurinck, V Sochat, R Poldrack, ... | 23 | 2016 |
Neurodesign: Optimal experimental designs for task fMRI J Durnez, R Blair, RA Poldrack BioRxiv, 119594, 2018 | 22 | 2018 |
M., Munafò, MR,... Yarkoni, T.(2017). Scanning the horizon: towards transparent and reproducible neuroimaging research. Nature Reviews Neuroscience, 18 (2), 115-126. https … RA Poldrack, CI Baker, J Durnez, KJ Gorgolewski, P Matthews | 20 | |
Alternative-based thresholding with application to presurgical fMRI J Durnez, B Moerkerke, A Bartsch, TE Nichols Cognitive, Affective, & Behavioral Neuroscience 13 (4), 703-713, 2013 | 15 | 2013 |
Associations of cannabis use disorder with cognition, brain structure, and brain function in African Americans MMG Koenis, J Durnez, AL Rodrigue, SR Mathias, AF Alexander‐Bloch, ... Human brain mapping 42 (6), 1727-1741, 2021 | 14 | 2021 |
Searching for Imaging Biomarkers of Psychotic Dysconnectivity AL Rodrigue, D Mastrovito, O Esteban, J Durnez, MMG Koenis, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6 (12), 1135-1144, 2021 | 11 | 2021 |
Multiple testing in fMRI: An empirical case study on the balance between sensitivity, specificity, and stability J Durnez, SP Roels, B Moerkerke Biometrical Journal 56 (4), 649-661, 2014 | 10 | 2014 |
Introducing alternative-based thresholding for defining functional regions of interest in fMRI J Degryse, R Seurinck, J Durnez, J Gonzalez-Castillo, PA Bandettini, ... Frontiers in neuroscience 11, 222, 2017 | 8 | 2017 |
Effects of thresholding on correlation-based image similarity metrics VV Sochat, KJ Gorgolewski, O Koyejo, J Durnez, RA Poldrack Frontiers in neuroscience 9, 418, 2015 | 5 | 2015 |
Prospective power estimation for peak inference with the toolbox neuropower J Durnez, J Degryse, R Seurinck, B Moerkerke, TE Nichols Second Belgian Neuroinformatics Congress 9, 2015 | 2 | 2015 |
Evaluation of full brain parcellation schemes using the NeuroVault database of statistical maps KJ Gorgolewski, A Tambini, J Durnez, VV Sochat, J Wexler, RA Poldrack F1000Research 6, 2017 | 1 | 2017 |