G. Imaging and . Thompson, NIH BD2K Supplement for NCANDA (3U01AA021697-04S1) and NCANDA: Data Analysis Component (5U01AA021697-04) (SRI International, PI: Pohl, Organization for Human Brain Mapping (OHBM 2013 Ontario Brain Institute, 2013.

T. Vanderwal, C. Kelly, J. Eilbott, L. Mayes, and F. Castellanos, Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging, NeuroImage, vol.122, pp.222-254, 2015.
DOI : 10.1016/j.neuroimage.2015.07.069

D. Martino, A. Yan, C. Li, Q. Denio, E. Castellanos et al., The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism, Molecular Psychiatry, vol.3, issue.6, pp.659-67, 2014.
DOI : 10.1007/s12021-012-9151-4

T. Xu, Z. Yang, L. Jiang, X. Xing, and X. Zuo, A Connectome Computation System for discovery science of brain, Science Bulletin, vol.60, issue.1, pp.86-95, 2015.
DOI : 10.1007/s11434-014-0698-3

C. Craddock, S. Sikka, B. Cheung, R. Khanuja, S. Ghosh et al., Towards automatanalysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac), Front Neuroinformatics, vol.42

Y. Chao-gan and Z. Yu-feng, DPARSF: A MATLAB Toolbox for " Pipeline " Data Analysis of Resting-State fMRI, Front Syst Neurosci, vol.4, p.13, 2010.

P. Bellec, S. Lavoie-courchesne, P. Dickinson, J. Lerch, A. Zijdenbos et al., The pipeline system for Octave and Matlab (PSOM): a lightweight scripting framework and execution engine for scientific workflows, Frontiers in Neuroinformatics, vol.6, pp.1662-5196, 2012.
DOI : 10.3389/fninf.2012.00007

B. Fischl and A. Dale, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proceedings of the National Academy of Sciences, vol.97, issue.20, pp.11050-11055, 2000.
DOI : 10.1073/pnas.200033797

A. Zijdenbos, R. Forghani, and A. Evans, Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis, IEEE Transactions on Medical Imaging, vol.21, issue.10, pp.1280-1291, 2002.
DOI : 10.1109/TMI.2002.806283

N. Tustison, P. Cook, A. Klein, G. Song, S. Das et al., Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements, NeuroImage, vol.99, pp.166-79, 2014.
DOI : 10.1016/j.neuroimage.2014.05.044

S. Valk, D. Martino, A. Milham, M. Bernhardt, and B. , Multicenter mapping of structural network alterations in autism, Human Brain Mapping, vol.7, issue.6, pp.2364-373, 2015.
DOI : 10.1093/cercor/bhu242

M. Mennes, M. Jenkinson, R. Valabregue, J. Buitelaar, C. Beckmann et al., Optimizing full-brain coverage in human brain MRI through population distributions of brain size, NeuroImage, vol.98, 2014.
DOI : 10.1016/j.neuroimage.2014.04.030

S. Das, A. Zijdenbos, D. Vins, J. Harlap, and A. Evans, LORIS: a web-based data management system for multi-center studies, Frontiers in Neuroinformatics, vol.5, issue.37, 2012.
DOI : 10.3389/fninf.2011.00037

W. Daydreaming-app and . Page, http://daydreaming-the-app.net. Accessed: 21, 2015.

S. Mesmoudi, M. Rodic, C. Cioli, J. Cointet, T. Yarkoni et al., LinkRbrain: Multi-scale data integrator of the brain, Journal of Neuroscience Methods, vol.241, pp.44-52, 2015.
DOI : 10.1016/j.jneumeth.2014.12.008
URL : https://hal.archives-ouvertes.fr/hal-01110246