F. Agosta, M. Pievani, C. Geroldi, M. Copetti, G. B. Frisoni et al., Resting state fMRI in Alzheimer's disease: Beyond the default mode network, Neurobiology of Aging, vol.33, issue.8, pp.1564-1578, 2012.

D. Alsop, J. Detre, X. Golay, M. Günther, J. Hendrikse et al., Recommended implementation of arterial spinlabeled 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, vol.73, issue.1, pp.102-116, 2015.

D. C. Alsop, W. Dai, M. Grossman, and J. A. Detre, Arterial Spin Labeling Blood Flow MRI: Its Role in the Early Characterization of Alzheimer's Disease, Journal of Alzheimer's Disease, vol.20, issue.3, pp.871-880, 2010.

Y. Behzadi, K. Restom, J. Liau, and T. Liu, A component based noise correction method (CompCor) for BOLD and perfusion based fMRI, NeuroImage, vol.37, issue.1, pp.90-101, 2007.

R. Birn, E. Molloy, R. Patriat, T. Parker, T. Meier et al., The effect of scan length on the reliability of resting-state fMRI connectivity estimates, NeuroImage, 2013.

B. Biswal, Z. Yetkin, V. Haughton, and J. Hyde, Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine, vol.34, pp.537-578, 1995.

J. Boissoneault, J. Letzen, S. Lai, A. O'shea, J. Craggs et al., Abnormal resting state functional connectivity in patients with chronic fatigue syndrome: An arterial spin-labeling fMRI study, Magnetic Resonance Imaging, vol.34, issue.4, pp.603-608, 2016.

A. Borogovac and I. Asllani, Arterial spin labeling (ASL) fMRI: Advantages, theoretical constrains and experimental challenges in neurosciences, International Journal of Biomedical Imaging, 2012.

S. Bouix, S. Swago, J. D. West, O. Pasternak, A. Breier et al., Evaluating Acquisition Time of rfMRI in the Human Connectome Project for Early Psychosis, pp.108-115, 2017.

R. Buxton, L. Frank, E. Wong, B. Siewert, S. Warach et al., A general kinetic model for quantitative perfusion imaging with arterial spin labeling, Mag. Res. Med, vol.40, issue.3, pp.383-396, 1998.

J. Chen, K. Jann, W. , and D. , Characterizing Resting-State Brain Function Using Arterial Spin Labeling, Brain Connectivity, vol.5, issue.9, pp.527-542, 2015.

W. S. Cleveland and S. J. Devlin, Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol.83, issue.403, p.596, 1988.

D. Cole, S. Smith, and C. Beckmann, Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Frontiers in systems neuroscience, vol.4, p.8, 2010.

C. Craddock, P. Holtzheimer, X. Hu, and H. Mayberg, Disease state prediction from resting state functional connectivity, Magnetic Resonance in Medicine, vol.62, issue.6, pp.1619-1628, 2009.

A. Eklund, T. Nichols, and H. Knutsson, Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates, Proceedings of the National Academy of Sciences, vol.113, issue.33, pp.4929-4929, 2016.

L. Gao and T. Wu, The study of brain functional connectivity in Parkinson's disease, Translational Neurodegeneration, vol.5, issue.1, pp.1-7, 2016.

M. Grade, J. A. Hernandez-tamames, F. B. Pizzini, E. Achten, X. Golay et al., A neuroradiologist's guide to arterial spin labeling MRI in clinical practice, Neuroradiology, vol.57, issue.12, pp.1181-1202, 2015.

X. Liang, A. Connelly, C. , and F. , Graph analysis of restingstate ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics, NeuroImage, vol.87, pp.265-275, 2014.

X. Liang, J. Tournier, R. Masterton, A. Connelly, C. et al., A k-space sharing 3D GRASE pseudocontinuous ASL method for whole-brain resting-state functional connectivity, International Journal of Imaging Systems and Technology, vol.22, issue.1, pp.37-43, 2012.

M. Lynall, D. S. Bassett, R. Kerwin, P. J. Mckenna, M. Kitzbichler et al., Functional Connectivity and Brain Networks in Schizophrenia, Journal of Neuroscience, vol.30, issue.28, pp.9477-9487, 2010.

M. Mckeown, L. Hansen, and T. Sejnowski, Independent component analysis of functional MRI: What is signal and what is noise?, Current Opinion in Neurobiology, vol.13, issue.5, pp.620-629, 2003.

H. Mutsaerts, W. Nordhøy, F. Pizzini, M. Van-osch, F. Zelaya et al., Multi-vendor reliability of arterial spin labeling perfusion MRI using a near-identical sequence: Implications for multi-center studies, NeuroImage, vol.113, pp.143-152, 2015.

J. Power, A simple but useful way to assess fMRI scan qualities, NeuroImage, vol.154, pp.150-158, 2016.

M. Van-den-heuvel and H. Hulshoff-pol, Exploring the brain network: A review on resting-state fMRI functional connectivity, European Neuropsychopharmacology, vol.20, issue.8, pp.519-534, 2010.

G. Varoquaux, A. Gramfort, F. Pedregosa, V. Michel, and B. Thirion, , 2011.

, Multi-subject dictionary learning to segment an atlas of brain spontaneous activity, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol.6801, pp.562-573

D. J. Wang, J. R. Alger, J. X. Qiao, Q. Hao, S. Hou et al., The value of arterial spin-labeled perfusion imaging in acute ischemic stroke: Comparison with dynamic susceptibility contrast-enhanced MRI, Stroke, vol.43, issue.4, pp.1018-1024, 2012.

S. Whitfield-gabrieli and A. Nieto-castanon, Conn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks, Brain Connectivity, vol.2, issue.3, pp.125-141, 2012.

D. A. Wolk and J. A. Detre, Arterial spin labeling MRI: An Emerging Biomarker for Alzheimer's Disease and Other Neurodegenerative Conditions, Current Opinion in Neurology, vol.25, issue.4, pp.421-428, 2012.

N. Zhang, M. Gordon, and T. Goldberg, Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer's disease, Neuroscience & Biobehavioral Reviews, vol.72, pp.168-175, 2016.

D. Zhou, W. Thompson, and G. Siegle, MATLAB toolbox for functional connectivity, NeuroImage, vol.47, issue.4, pp.1590-1607, 2009.