D. C. Alsop, J. Detre, X. Golay, M. Günther, J. Hendrikse et al., Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the european consortium for ASL in dementia. ? Magnetic Resonance in Medicine?, 2014.

G. Altman, C. D. Comeau, C. R. Alessi, A. M. Blaine, M. Fakhri et al., PET/MR imaging consensus paper: a joint paper by the Society of Nuclear Medicine and Molecular Imaging Technologist Section and the Section for Magnetic Resonance Technologists, ? Journal of Nuclear Medicine Technology?, vol.41, issue.2, pp.108-113, 2013.

T. Glatard, L. B. Lewis, R. Ferreira-da-silva, R. Adalat, N. Beck et al., Reproducibility of neuroimaging analyses across operating systems, Frontiers in Neuroinformatics, vol.9, pp.9-10, 2015.
DOI : 10.3389/fninf.2015.00012

URL : https://hal.archives-ouvertes.fr/hal-01207394

M. Glasser, S. Sotiropoulos, J. Wilson, T. Coalson, B. Fischl et al., The minimal preprocessing pipelines for the Human Connectome Project, NeuroImage, vol.80, pp.105-124, 2013.
DOI : 10.1016/j.neuroimage.2013.04.127

G. D. Gopen and J. A. Swan, The Science of Scientific Writing. ? The American Scientist?, pp.550-558, 1990.

K. Gorgolewski, C. D. Burns, C. Madison, D. Clark, Y. O. Halchenko et al., Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python, Frontiers in Neuroinformatics, vol.5, 2011.
DOI : 10.3389/fninf.2011.00013

URL : http://doi.org/10.3389/fninf.2011.00013

E. H. Gronenschild, P. Habets, H. I. Jacobs, R. Mengelers, N. Rozendaal et al., The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. ? PloS One?, p.7, 2012.

P. Habibzadeh, Decay of References to Web sites in??Articles Published in General Medical Journals: Mainstream vs Small Journals, Applied Clinical Informatics? , ? 4?, pp.455-64, 2013.
DOI : 10.4338/ACI-2013-07-RA-0055

Y. O. Halchenko and M. Hanke, Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience, Frontiers in Neuroinformatics, vol.6, 2012.
DOI : 10.3389/fninf.2012.00022

Y. Halchenko and M. Hanke, Four aspects to make science open " by design " and not as an after­thought. ? GigaScience?, 2015.
DOI : 10.1186/s13742-015-0072-7

URL : http://doi.org/10.1186/s13742-015-0072-7

T. Hastie, R. J. Tibshirani, and J. Friedman, ? The Elements of Statistical Learning: Data Mining, Inference, and Prediction?, 2011.

S. Haufe, F. Meinecke, K. Görgen, S. Dähne, J. D. Haynes et al., On the interpretation of weight vectors of linear models in multivariate neuroimaging, NeuroImage, vol.87, pp.96-110, 2014.
DOI : 10.1016/j.neuroimage.2013.10.067

K. A. Norman, S. M. Polyn, G. J. Detre, and J. V. Haxby, Beyond mind-reading: multi-voxel pattern analysis of fMRI data. ? Trends in Cognitive Sciences?, pp.424-454, 2006.
DOI : 10.1016/j.tics.2006.07.005

B. A. Nosek and D. Lakens, Registered Reports, Social Psychology, vol.45, issue.3, pp.137-141, 2014.
DOI : 10.1027/1864-9335/a000192

R. Nuzzo, Scientific method: statistical errors doi:10.1038/506150a Open Science Collaboration PSYCHOLOGY. Estimating the reproducibility of psychological science, ? Nature? ? Science?, vol.506, issue.3496251, pp.150-152, 2014.
DOI : 10.1038/506150a

URL : http://www.nature.com:80/polopoly_fs/1.14700!/menu/main/topColumns/topLeftColumn/pdf/506150a.pdf

R. D. Peng, Reproducible Research in Computational Science, Science, vol.467, issue.7317, pp.1226-1233, 2011.
DOI : 10.1038/467753a

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3383002

W. D. Penny, K. J. Friston, J. T. Ashburner, S. J. Kiebel, and T. E. Nichols, ? Statistical Parametric Mapping: The Analysis of Functional Brain Images?, 2006.

S. E. Petersen and J. W. Dubis, The mixed block/event-related design. ? NeuroImage?, 2012.
DOI : 10.1016/j.neuroimage.2011.09.084

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3288695

R. A. Poldrack, Region of interest analysis for fMRI, Social Cognitive and Affective Neuroscience?, 2007.
DOI : 10.1093/scan/nsm006

R. A. Poldrack, P. C. Fletcher, R. N. Henson, K. J. Worsley, M. Brett et al., Guidelines for reporting an fMRI study, NeuroImage, vol.40, issue.2, pp.409-423, 2008.
DOI : 10.1016/j.neuroimage.2007.11.048

URL : http://doi.org/10.1016/j.neuroimage.2007.11.048

R. Poldrack and K. J. Gorgolewski, Making big data open: data sharing in neuroimaging, Nature Neuroscience, vol.6, issue.11, pp.1510-1517, 2014.
DOI : 10.3389/fninf.2012.00007

J. Poline, J. L. Breeze, S. Ghosh, K. Gorgolewski, Y. O. Halchenko et al., Data sharing in neuroimaging research, Frontiers in Neuroinformatics, vol.6, pp.1-13, 2012.
DOI : 10.3389/fninf.2012.00009

URL : http://doi.org/10.3389/fninf.2012.00009

D. E. Rex, J. Q. Ma, and A. W. Toga, The LONI Pipeline Processing Environment, NeuroImage, vol.19, issue.3, pp.1033-1048, 2003.
DOI : 10.1016/S1053-8119(03)00185-X

J. P. Simmons, L. D. Nelson, and U. Simonsohn, False-Positive Psychology, Psychological Science, vol.100, issue.11, pp.1359-66100956797611417632, 1177.
DOI : 10.1111/j.1467-6494.1979.tb00202.x

URL : http://journals.sagepub.com/doi/pdf/10.1177/0956797611417632

S. M. Smith, P. A. Bandettini, K. L. Miller, T. E. Behrens, K. J. Friston et al., The danger of systematic bias in group-level FMRI-lag-based causality estimation, NeuroImage, vol.59, issue.2, pp.1228-1237, 2012.
DOI : 10.1016/j.neuroimage.2011.08.015