| Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020 | 648 | 2020 |
| The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data E Bannier, G Barker, V Borghesani, N Broeckx, P Clement, KE Emblem, ... Human Brain Mapping 42 (7), 1945-1951, 2021 | 34 | 2021 |
| An open MRI dataset for multiscale neuroscience J Royer, R Rodríguez-Cruces, S Tavakol, S Larivière, P Herholz, Q Li, ... Scientific Data 9 (1), 569, 2022 | 19 | 2022 |
| AtlasReader: A Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images M Notter, D Gale, P Herholz, R Markello, ML Notter-Bielser, K Whitaker Journal of Open Source Software 4 (34), 1257, 2019 | 19 | 2019 |
| Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 18 | 2021 |
| Open and reproducible neuroimaging: from study inception to publication G Niso, R Botvinik-Nezer, S Appelhoff, A De La Vega, O Esteban, JA Etzel, ... NeuroImage, 119623, 2022 | 15 | 2022 |
| Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective E Levitis, CDG Van Praag, R Gau, S Heunis, E DuPre, G Kiar, ... GigaScience 10 (8), giab051, 2021 | 15 | 2021 |
| The DataLad Handbook AS Wagner, LK Waite, K Meyer, MK Heckner, T Kadelka, N Reuter, ... Zenodo, DOI 10, 2020 | 12 | 2020 |
| Comparison of fMRI paradigms assessing visuospatial processing: Robustness and reproducibility V Schuster, P Herholz, KM Zimmermann, S Westermann, S Frässle, ... Plos one 12 (10), e0186344, 2017 | 9 | 2017 |
| Micapipe: A pipeline for multimodal neuroimaging and connectome analysis RR Cruces, J Royer, P Herholz, S Larivière, RV De Wael, C Paquola, ... NeuroImage 263, 119612, 2022 | 8 | 2022 |
| LAB–QA2GO: a free, easy-to-use toolbox for the quality assessment of magnetic resonance imaging data C Vogelbacher, MHA Bopp, V Schuster, P Herholz, A Jansen, J Sommer Frontiers in neuroscience 13, 688, 2019 | 6 | 2019 |
| BrainStat: A toolbox for brain-wide statistics and multimodal feature associations S Larivière, Ş Bayrak, RV de Wael, O Benkarim, P Herholz, ... NeuroImage 266, 119807, 2023 | 5* | 2023 |
| A fMRI pre-registration template F Beyer, J Flannery, R Gau, L Janssen, L Schaare, H Hartmann, ... PsychArchives, 2021 | 3 | 2021 |
| Neuroscout, a unified platform for generalizable and reproducible fMRI research A de la Vega, R Rocca, RW Blair, CJ Markiewicz, J Mentch, JD Kent, ... Elife 11, e79277, 2022 | 2 | 2022 |
| A roadmap to reverse engineering real-world generalization by combining naturalistic paradigms, deep sampling, and predictive computational models P Herholz, E Fortier, M Toneva, N Farrugia, L Wehbe, V Borghesani arXiv preprint arXiv:2108.10231, 2021 | 2 | 2021 |
| BIDSonym: a BIDS App for the pseudo-anonymization of neuroimaging datasets P Herholz, RM Ludwig, JB Poline Journal of Open Source Software 6 (64), 3169, 2021 | 1 | 2021 |
| NiBetaSeries: task related correlations in fMRI JD Kent, P Herholz Journal of Open Source Software 4 (41), 1295, 2019 | 1 | 2019 |
| fMRIflows: a consortium of fully automatic univariate and multivariate fMRI processing pipelines MP Notter, P Herholz, S Da Costa, OF Gulban, AI Isik, A Gaglianese, ... Brain Topography, 1-20, 2022 | | 2022 |
| INVESTIGATING SPATIAL AND TEMPORAL CORRELATES OF CORTICAL MUSIC REPRESENTATIONS THROUGH REPRESENTATIONAL MODELS P Herholz PSYCHOPHYSIOLOGY 57, S4-S4, 2020 | | 2020 |
| THE LAME, THE BLIND, AND THE UGLY: INTEGRATING FINDINGS ON COGNITIVE CONTROL USING MULTIMODAL DATA FUSION FOR SIMULTANEOUS EEG-FMRI M Gueth, JG Alanis, P Herholz, J Sommer PSYCHOPHYSIOLOGY 56, S9-S9, 2019 | | 2019 |
Reinder Vos de WaelVerified email at mail.mcgill.ca
