Toward discovery science of human brain function, Proceedings of the National Academy of Sciences, vol.107, issue.10, pp.4734-4743, 2010. ,
DOI : 10.1073/pnas.0911855107
Disease and the brain's dark energy, Nature Reviews Neurology, vol.10, issue.1, pp.15-28, 2009. ,
DOI : 10.1038/nrneurol.2009.198
Intrinsic and Task-Evoked Network Architectures of the Human Brain, Neuron, vol.83, issue.1, pp.238-51, 2014. ,
DOI : 10.1016/j.neuron.2014.05.014
The Extrinsic and Intrinsic Functional Architectures of the Human Brain Are Not Equivalent, Cerebral Cortex, vol.23, issue.1, pp.223-232, 2013. ,
DOI : 10.1093/cercor/bhs010
Maturing thalamocortical functional connectivity across development. Frontiers in systems neuroscience, p.20514143, 2010. ,
Correspondence of the brain's functional architecture during activation and rest, Proceedings of the National Academy of Sciences, vol.106, issue.31, pp.13040-13045, 2009. ,
DOI : 10.1073/pnas.0905267106
Behavioral Interpretations of Intrinsic Connectivity Networks, Journal of Cognitive Neuroscience, vol.31, issue.12, pp.4022-4059, 2011. ,
DOI : 10.1016/j.neuroimage.2009.10.080
Emergence of resting state networks in the preterm human brain, Proceedings of the National Academy of Sciences, vol.107, issue.46, pp.20015-20035, 2010. ,
DOI : 10.1073/pnas.1007921107
A default mode of brain function, Proceedings of the National Academy of Sciences, vol.98, issue.2, pp.676-82, 2001. ,
DOI : 10.1073/pnas.98.2.676
Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control, Journal of Neuroscience, vol.27, issue.9, pp.2349-56, 2007. ,
DOI : 10.1523/JNEUROSCI.5587-06.2007
The Reorienting System of the Human Brain: From Environment to Theory of Mind, Neuron, vol.58, issue.3, pp.306-330, 2008. ,
DOI : 10.1016/j.neuron.2008.04.017
BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation, Current Biology, vol.25, issue.10, pp.1368-74, 2015. ,
DOI : 10.1016/j.cub.2015.03.049
Modes or models: a critique on independent component analysis for fMRI. Trends in cognitive sciences, pp.373-378, 1998. ,
Describing functional diversity of brain regions and brain networks, NeuroImage, vol.73, pp.50-58, 2013. ,
DOI : 10.1016/j.neuroimage.2013.01.071
The Resting Brain: Unconstrained yet Reliable, Cerebral Cortex, vol.19, issue.10, pp.2209-2238, 2009. ,
DOI : 10.1093/cercor/bhn256
Are brain networks stable during a 24-hour period?, NeuroImage, vol.59, issue.1, pp.456-66, 2012. ,
DOI : 10.1016/j.neuroimage.2011.07.049
Tracking Whole-Brain Connectivity Dynamics in the Resting State, Cerebral Cortex, vol.24, issue.3, pp.663-76, 2014. ,
DOI : 10.1093/cercor/bhs352
Structural and Functional Brain Networks: From Connections to Cognition, Science, vol.342, issue.6158, p.24179229, 2013. ,
DOI : 10.1126/science.1238411
Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex, Journal of Cognitive Neuroscience, vol.206, issue.5, pp.648-63, 1997. ,
DOI : 10.1093/cercor/7.3.193
How default is the default mode of brain function?, Neuropsychologia, vol.44, issue.14, pp.2836-2881, 2006. ,
DOI : 10.1016/j.neuropsychologia.2006.06.017
A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks, Proceedings of the National Academy of Sciences, vol.105, issue.34, pp.12569-74, 2008. ,
DOI : 10.1073/pnas.0800005105
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data, Advances in Neural Information Processing Systems, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01211248
The modular and integrative functional architecture of the human brain, Proceedings of the National Academy of Sciences, vol.112, issue.49, pp.6798-807, 2015. ,
DOI : 10.1073/pnas.1510619112
Natural Scenes Viewing Alters the Dynamics of Functional Connectivity in the Human Brain, Neuron, vol.79, issue.4, pp.782-97, 2013. ,
DOI : 10.1016/j.neuron.2013.06.022
Wandering Minds: The Default Network and Stimulus-Independent Thought, Science, vol.315, issue.5810, pp.393-398, 2007. ,
DOI : 10.1126/science.1131295
The neural bases of momentary lapses in attention, Nature Neuroscience, vol.2, issue.7, pp.971-979, 2006. ,
DOI : 10.1038/nn1727
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding, NeuroImage, vol.81, pp.381-92, 2013. ,
DOI : 10.1016/j.neuroimage.2013.05.046
Neurodegenerative Diseases Target Large-Scale Human Brain Networks, Neuron, vol.62, issue.1, pp.42-52, 2009. ,
DOI : 10.1016/j.neuron.2009.03.024
Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity, NeuroImage, vol.50, issue.4, pp.1690-701, 2010. ,
DOI : 10.1016/j.neuroimage.2010.01.002
Failing to deactivate: Resting functional abnormalities in autism, Proceedings of the National Academy of Sciences, vol.103, issue.21, pp.8275-80, 2006. ,
DOI : 10.1073/pnas.0600674103
Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia, Proceedings of the National Academy of Sciences, vol.106, issue.4, pp.1279-84, 2009. ,
DOI : 10.1073/pnas.0809141106
Default-Mode and Task-Positive Network Activity in Major Depressive Disorder: Implications for Adaptive and Maladaptive Rumination, Biological Psychiatry, vol.70, issue.4, pp.327-360, 2011. ,
DOI : 10.1016/j.biopsych.2011.02.003
Task-related default mode network modulation and inhibitory control in ADHD: effects of motivation and methylphenidate, Journal of Child Psychology and Psychiatry, vol.34, issue.7, pp.761-71, 2011. ,
DOI : 10.1111/j.1469-7610.2010.02333.x
Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling, Journal of Neuroscience, vol.29, issue.46, pp.14496-505, 2009. ,
DOI : 10.1523/JNEUROSCI.4004-09.2009
From The Cover: The human brain is intrinsically organized into dynamic, anticorrelated functional networks, Proceedings of the National Academy of Sciences, vol.102, issue.27, pp.9673-9681, 2005. ,
DOI : 10.1073/pnas.0504136102
Functional connectivity in the motor cortex of resting human brain using echo-planar mri, Magnetic Resonance in Medicine, vol.13, issue.4, pp.537-578, 1995. ,
DOI : 10.1002/mrm.1910340409
Contributions and challenges for network models in cognitive neuroscience, Nature Neuroscience, vol.57, issue.5, pp.652-60, 2014. ,
DOI : 10.1038/nn.3690
Information processing in the primate visual system: an integrated systems perspective, Science, vol.255, issue.5043, pp.419-442, 1992. ,
DOI : 10.1126/science.1734518
The anatomical basis of functional localization in the cortex, Nature Reviews Neuroscience, vol.29, issue.8, pp.606-622, 2002. ,
DOI : 10.1038/nrn893
Functional specificity in the human brain: A window into the functional architecture of the mind, Proceedings of the National Academy of Sciences, vol.107, issue.25, pp.11163-70, 2010. ,
DOI : 10.1073/pnas.1005062107
Functional specialisation in the visual cortex of the rhesus monkey, Nature, vol.40, issue.5670, pp.423-431, 1978. ,
DOI : 10.1038/225041a0
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, The Journal of Physiology, vol.160, issue.1, pp.106-54, 1962. ,
DOI : 10.1113/jphysiol.1962.sp006837
The contribution of the fusiform gyrus and superior temporal sulcus in processing facial attractiveness: Neuropsychological and neuroimaging evidence, Neuroscience, vol.155, issue.2, pp.409-431, 2008. ,
DOI : 10.1016/j.neuroscience.2008.05.046
Functional Specialization and Flexibility in Human Association Cortex. Cerebral cortex, 2014. ,
A whole brain fMRI atlas generated via spatially constrained spectral clustering, Human Brain Mapping, vol.22, issue.Pt 1, pp.1914-1942, 2012. ,
DOI : 10.1002/hbm.21333
Investigations into resting-state connectivity using independent component analysis, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.8, issue.2-3, pp.1001-1014, 1457. ,
DOI : 10.1002/(SICI)1097-0193(1999)8:2/3<151::AID-HBM13>3.0.CO;2-5
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1854918
Modes or models: a critique on independent component analysis for fMRI. Trends in cognitive sciences, pp.373-378, 1998. ,
Spatially independent activity patterns in functional MRI data during the Stroop color-naming task, Proceedings of the National Academy of Sciences, vol.95, issue.3, pp.803-813, 1998. ,
DOI : 10.1073/pnas.95.3.803
The relationship between Precision-Recall and ROC curves, Proceedings of the 23rd international conference on Machine learning , ICML '06, 2006. ,
DOI : 10.1145/1143844.1143874
Function in the human connectome: Task-fMRI and individual differences in behavior, NeuroImage, vol.80, pp.169-89, 2013. ,
DOI : 10.1016/j.neuroimage.2013.05.033
Fast reproducible identification and large-scale databasing of individual functional cognitive networks, BMC Neuroscience, vol.8, issue.1, pp.91-17973998, 2007. ,
DOI : 10.1186/1471-2202-8-91
URL : https://hal.archives-ouvertes.fr/hal-00784462
Applied predictive modeling: Springer; 2013, Network Co-occurrence Models ,
DOI : 10.1007/978-1-4614-6849-3
The Modular Neuroarchitecture of Social Judgments on Faces, Cerebral Cortex, vol.22, issue.4, pp.951-61, 2012. ,
DOI : 10.1093/cercor/bhr166
Semantic Processing in the Anterior Temporal Lobes: A Meta-analysis of the Functional Neuroimaging Literature, Journal of Cognitive Neuroscience, vol.2, issue.6, pp.1083-94, 2010. ,
DOI : 10.1093/bmb/65.1.95
Pattern Recognition and Machine Learning, 2006. ,
Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition, NeuroImage, vol.53, issue.1, pp.303-320, 2010. ,
DOI : 10.1016/j.neuroimage.2010.06.016
The dynamic reorganization of the default-mode network during a visual classification task. Frontiers in systems neuroscience, p.23898240, 2013. ,
Functional dissociation of ventral frontal and dorsomedial default mode network components during resting state and emotional autobiographical recall, Human Brain Mapping, vol.5, issue.7, pp.3302-3315, 2014. ,
DOI : 10.1002/hbm.22403
Clan Mentality: Evidence That the Medial Prefrontal Cortex Responds to Close Others, Journal of Neuroscience, vol.30, issue.41, pp.13906-13921, 2010. ,
DOI : 10.1523/JNEUROSCI.2180-10.2010
The restless mind., Psychological Bulletin, vol.132, issue.6, pp.946-58, 2006. ,
DOI : 10.1037/0033-2909.132.6.946
Complex brain networks: graph theoretical analysis of structural and functional systems, Nature Reviews Neuroscience, vol.10, issue.4, p.312, 2009. ,
DOI : 10.1038/nrn2618
False discovery rate revisited: FDR and topological inference using Gaussian random fields, NeuroImage, vol.44, issue.1, pp.62-70, 2009. ,
DOI : 10.1016/j.neuroimage.2008.05.021
Defining Neurocognitive Networks in the BOLD New World of Computed Connectivity, Neuron, vol.62, issue.1, 2009. ,
DOI : 10.1016/j.neuron.2009.04.001
Neural reuse: a fundamental organizational principle of the brain. The Behavioral and brain sciences, pp.245-66, 2010. ,
Cultural Recycling of Cortical Maps, Neuron, vol.56, issue.2, pp.384-98 ,
DOI : 10.1016/j.neuron.2007.10.004
Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.12, issue.1, 2014. ,
DOI : 10.1038/nrn2961
A neuronal model of a global workspace in effortful cognitive tasks, Proceedings of the National Academy of Sciences, vol.95, issue.24, pp.14529-14563, 1998. ,
DOI : 10.1073/pnas.95.24.14529
Degeneracy and complexity in biological systems, Proceedings of the National Academy of Sciences, vol.98, issue.24, pp.13763-13771, 2001. ,
DOI : 10.1073/pnas.231499798
AN OUTLINE OF GENERAL SYSTEM THEORY, The British Journal for the Philosophy of Science, vol.I, issue.2, 1950. ,
DOI : 10.1093/bjps/I.2.134
Extrinsic and Intrinsic Systems in the Posterior Cortex of the Human Brain Revealed during Natural Sensory Stimulation, Cerebral Cortex, vol.17, issue.4, pp.766-77, 2007. ,
DOI : 10.1093/cercor/bhk030
From the neuron doctrine to neural networks, Nature Reviews Neuroscience, vol.47, issue.8, pp.487-97, 2015. ,
DOI : 10.1085/jgp.43.6.129
Default Mode of Brain Function in Monkeys, Journal of Neuroscience, vol.31, issue.36, pp.3112954-62, 2011. ,
DOI : 10.1523/JNEUROSCI.2318-11.2011
URL : https://hal.archives-ouvertes.fr/hal-00621258
Rat brains also have a default mode network, Proceedings of the National Academy of Sciences, vol.109, issue.10, pp.3979-84, 2012. ,
DOI : 10.1073/pnas.1200506109
Default-mode brain dysfunction in mental disorders: A systematic review, Neuroscience & Biobehavioral Reviews, vol.33, issue.3, pp.279-96, 2009. ,
DOI : 10.1016/j.neubiorev.2008.09.002
Default Mode Network Activity and Connectivity in Psychopathology, Annual Review of Clinical Psychology, vol.8, issue.1, pp.49-76, 2012. ,
DOI : 10.1146/annurev-clinpsy-032511-143049
The Human Connectome Project: A data acquisition perspective, NeuroImage, vol.62, issue.4, pp.2222-2253, 2012. ,
DOI : 10.1016/j.neuroimage.2012.02.018
The minimal preprocessing pipelines for the Human Connectome Project, NeuroImage, vol.80, pp.105-129, 2013. ,
DOI : 10.1016/j.neuroimage.2013.04.127
A method for making group inferences from functional MRI data using independent component analysis, Human Brain Mapping, vol.2, issue.3, pp.140-51, 2001. ,
DOI : 10.1002/hbm.1048
The Elements of Statistical Learning, 2001. ,
Machine learning classifiers and fMRI: A tutorial overview, NeuroImage, vol.45, issue.1, pp.199-209, 2009. ,
DOI : 10.1016/j.neuroimage.2008.11.007
Fast and robust fixed-point algorithms for independent component analysis, IEEE Transactions on Neural Networks, vol.10, issue.3, pp.626-660, 1999. ,
DOI : 10.1109/72.761722
A tutorial on principal component analysis. arXiv preprint ,
Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision, vol.61, issue.3, pp.1-3125, 2008. ,
DOI : 10.1007/s11263-007-0075-7
Extracting multi-scale structure from data, Sparse PCA ICCV 2001 Proceedings Eighth IEEE International Conference on, 2001. ,
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. Information processing in medical imaging: proceedings of the conference, pp.562-73, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00588898
Hierarchical clustering schemes, Psychometrika, vol.58, issue.4, pp.241-54, 1967. ,
DOI : 10.1007/BF02289588
Which fMRI clustering gives good brain parcellations? Frontiers in neuroscience, p.25071425, 2014. ,
Least squares quantization in PCM. Information Theory, IEEE Transactions on, vol.28, issue.2, pp.129-166, 1982. ,
Group analyses of connectivity-based cortical parcellation using repeated k-means clustering, NeuroImage, vol.47, issue.4, pp.1666-77, 2009. ,
DOI : 10.1016/j.neuroimage.2009.06.014
Connectivity-based parcellation: Critique and implications . Human brain mapping, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01184563
Group comparison of resting-state FMRI data using multi-subject ICA and dual regression, NeuroImage, vol.47, 2009. ,
DOI : 10.1016/S1053-8119(09)71511-3
The nature of statistical learning theory, 1996. ,
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No ???Face??? Identification Area, Neural Computation, vol.17, issue.11, pp.486-503, 2008. ,
DOI : 10.1016/S0896-6273(02)00877-2
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python, Frontiers in Neuroinformatics, vol.5, p.21897815, 2011. ,
DOI : 10.3389/fninf.2011.00013
Scikit-learn: Machine Learning in Python, The Journal of Machine Learning Research, vol.12, pp.2825-2855, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Machine learning for neuroimaging with scikit-learn, Frontiers in Neuroinformatics, vol.8, p.24600388, 2014. ,
DOI : 10.3389/fninf.2014.00014
URL : https://hal.archives-ouvertes.fr/hal-01093971
The Future of Psychology: Connecting Mind to Brain. Perspectives on psychological science, pp.326-365, 2009. ,
A tutorial on Bayesian nonparametric models, Journal of Mathematical Psychology, vol.56, issue.1, pp.1-12, 2012. ,
DOI : 10.1016/j.jmp.2011.08.004
A simple example of Dirichlet process mixture inconsistency for the number of components Advances in neural information processing systems, 2013. ,
Are brain networks stable during a 24-hour period?, NeuroImage, vol.59, issue.1, pp.456-66, 2012. ,
DOI : 10.1016/j.neuroimage.2011.07.049
Precuneus shares intrinsic functional architecture in humans and monkeys, Proceedings of the National Academy of Sciences, vol.106, issue.47, pp.20069-74, 2009. ,
DOI : 10.1073/pnas.0905314106
Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patterns. Cerebral cortex, 2011. ,
Functional-Anatomic Fractionation of the Brain's Default Network, Neuron, vol.65, issue.4, pp.550-62, 2010. ,
DOI : 10.1016/j.neuron.2010.02.005
The distributed human neural system for face perception, Trends in Cognitive Sciences, vol.4, issue.6, pp.223-256, 2000. ,
DOI : 10.1016/S1364-6613(00)01482-0
The Human Amygdala: An Evolved System for Relevance Detection, Reviews in the Neurosciences, vol.14, issue.4, pp.303-319, 2003. ,
DOI : 10.1515/REVNEURO.2003.14.4.303
Cognitive Network Neuroscience, Journal of Cognitive Neuroscience, vol.27, issue.8, pp.1471-91, 2015. ,
DOI : 10.1093/cercor/bhr269
Classical Statistics and Statistical Learning in Imaging Neuroscience. arXiv preprint arXiv:160301857, 2016. ,