D. C. Alexander, G. J. Barker, and S. R. Arridge, Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data, Magnetic Resonance in Medicine, vol.46, issue.2, 2002.
DOI : 10.1002/mrm.1315

D. C. Alexander, P. L. Hubbard, M. G. Hall, E. A. Moore, M. Ptito et al., Orientationally invariant indices of axon diameter and density from diffusion MRI, NeuroImage, vol.52, issue.4, pp.1374-1389, 2010.
DOI : 10.1016/j.neuroimage.2010.05.043

K. Amunts, A. Malikovic, H. Mohlberg, T. Schormann, and K. Zilles, Brodmann's Areas 17 and 18 Brought into Stereotaxic Space???Where and How Variable?, NeuroImage, vol.11, issue.1, pp.66-84, 2000.
DOI : 10.1006/nimg.1999.0516

K. Amunts, A. Schleicher, U. Bürgel, H. Mohlberg, H. Uylings et al., Broca's region revisited: Cytoarchitecture and intersubject variability, The Journal of Comparative Neurology, vol.187, issue.2, pp.319-341, 1999.
DOI : 10.1007/BF00304699

K. Amunts and K. Zilles, Architectonic Mapping of the Human Brain beyond Brodmann, Neuron, vol.88, issue.6, 2015.
DOI : 10.1016/j.neuron.2015.12.001

A. Anwander, A. Pampel, and T. R. Knosche, In vivo measurement of cortical anisotropy by diffusion-weighted imaging correlates with cortex type, Proc. Int, p.109, 2010.

A. Anwander, M. Tittgemeyer, D. Y. Von-cramon, A. D. Friederici, and . Kn, Connectivity-Based Parcellation of Broca's Area, Cerebral Cortex, vol.17, issue.4, 2007.
DOI : 10.1093/cercor/bhk034

Y. Assaf, T. Blumenfeld-katzir, Y. Yovel, and P. J. Basser, Axcaliber: A method for measuring axon diameter distribution from diffusion MRI, Magnetic Resonance in Medicine, vol.14, issue.6, 2008.
DOI : 10.1093/acprof:oso/9780195082937.001.0001

A. Barmpoutis, M. S. Hwang, D. Howland, J. R. Forder, and B. C. Vemuri, Regularized positive-definite fourth order tensor field estimation from DW-MRI, NeuroImage, vol.45, issue.1, 2009.
DOI : 10.1016/j.neuroimage.2008.10.056
URL : http://europepmc.org/articles/pmc2727997?pdf=render

P. J. Basser, J. Mattiello, and D. Lebihan, MR diffusion tensor spectroscopy and imaging, Biophysical Journal, vol.66, issue.1, pp.259-267, 1994.
DOI : 10.1016/S0006-3495(94)80775-1
URL : https://hal.archives-ouvertes.fr/hal-00349721

P. J. Basser and C. Pierpaoli, Microstructural and Physiological Features of Tissues Elucidated by Quantitative-Diffusion-Tensor MRI, Journal of Magnetic Resonance, Series B, vol.111, issue.3, pp.209-228, 1996.
DOI : 10.1006/jmrb.1996.0086

M. Bastiani, A. Oros-peusquens, A. Seehaus, D. Brenner, K. Möllenhoff et al., Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation, Frontiers in Neuroscience, vol.6, issue.Pt 2, 2016.
DOI : 10.1371/journal.pone.0028716

T. E. Behrens and H. Johansen-berg, Relating connectional architecture to grey matter function using diffusion imaging, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.70, issue.7, pp.903-9111640, 2005.
DOI : 10.1073/pnas.0736457100

R. Berlin, Beitrag zur structurlehre der grosshirnwindungen. AE Junge'sche universit{ä}tsbuchdr, 1858.

S. Bludau, S. B. Eickhoff, H. Mohlberg, S. Caspers, A. R. Laird et al., Cytoarchitecture, probability maps and functions of the human frontal pole, NeuroImage, vol.93, pp.260-275, 2014.
DOI : 10.1016/j.neuroimage.2013.05.052

L. Breiman, Random Forests, Machine Learning, vol.45, issue.1, pp.5-321010933404324, 2001.
DOI : 10.1023/A:1010933404324

H. Bridge, S. Clare, and K. Krug, Delineating extrastriate visual area MT(V5) using cortical myeloarchitecture, NeuroImage, vol.93, 2014.
DOI : 10.1016/j.neuroimage.2013.03.034

F. Calamante, B. Jeurissen, R. E. Smith, J. Tournier, and A. Connelly, The role of whole-brain diffusion MRI as a tool for studying human in vivo cortical segregation based on a measure of neurite density, Magnetic Resonance in Medicine, vol.22, issue.Pt 2, 2017.
DOI : 10.1002/ima.22005

A. Campbell, Histological Studies on the Localisation of Cerebral Function, Journal of Mental Science, vol.50, issue.211, 1905.
DOI : 10.1192/bjp.50.211.651

J. Cohen-adad, What can we learn from T2* maps of the cortex? Neuroimage, 2014.

F. Dick, T. Tierney, A. Lutti, A. Josephs, O. Sereno et al., In Vivo Functional and Myeloarchitectonic Mapping of Human Primary Auditory Areas, Journal of Neuroscience, vol.32, issue.46, pp.16095-16105, 2012.
DOI : 10.1523/JNEUROSCI.1712-12.2012

J. Dinse, N. Härtwich, M. D. Waehnert, C. L. Tardif, A. Schäfer et al., A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI, NeuroImage, vol.114, pp.71-87, 2015.
DOI : 10.1016/j.neuroimage.2015.04.023

P. Douek, R. Turner, J. Pekar, N. Patronas, L. Bihan et al., MR Color Mapping of Myelin Fiber Orientation, Journal of Computer Assisted Tomography, vol.15, issue.6, pp.923-932, 1991.
DOI : 10.1097/00004728-199111000-00003
URL : https://hal.archives-ouvertes.fr/hal-00350066

S. B. Eickhoff, A. Schleicher, K. Zilles, and K. Amunts, The Human Parietal Operculum. I. Cytoarchitectonic Mapping of Subdivisions, Cerebral Cortex, vol.16, issue.2, pp.254-267, 2006.
DOI : 10.1016/B978-012693019-1/50023-X

B. Fischl, M. I. Sereno, R. B. Tootell, A. M. Dale, and . Others, High-resolution intersubject averaging and a coordinate system for the cortical surface, Human Brain Mapping, vol.179, issue.4, pp.272-284, 1999.
DOI : 10.1007/BF00304699

T. Ganepola, Z. Nagy, D. C. Alexander, and M. I. Sereno, An unsupervised group gverage cortical parcellation using diffusion MRI to probe cytoarchitecture, Computational Diffusion MRI: MICCAI Workshop, pp.145-156, 2016.

S. Geyer, M. Matelli, G. Luppino, and K. Zilles, Functional neuroanatomy of the primate isocortical motor system, Anatomy and Embryology, vol.202, issue.6, 2000.
DOI : 10.1007/s004290000127

S. Geyer, A. Schleicher, and K. Zilles, The Somatosensory Cortex of Human: Cytoarchitecture and Regional Distributions of Receptor-Binding Sites, NeuroImage, vol.6, issue.1, pp.27-45, 1997.
DOI : 10.1006/nimg.1997.0271

S. Geyer, M. Weiss, and K. Reimann, Microstructural Parcellation of the Human Cerebral Cortex ??? From Brodmann's Post-Mortem Map to in vivo Mapping with High-Field Magnetic Resonance Imaging, Frontiers in Human Neuroscience, vol.5, 2011.
DOI : 10.3389/fnhum.2011.00019

A. Ghosh, T. Milne, and R. Deriche, Constrained diffusion kurtosis imaging using ternary quartics & MLE, Magnetic Resonance in Medicine, vol.199, issue.4, pp.1581-1591, 2014.
DOI : 10.1016/j.jmr.2009.03.005
URL : https://hal.archives-ouvertes.fr/hal-00789755

M. F. Glasser, M. S. Goyal, T. M. Preuss, M. E. Raichle, and D. C. Van-essen, Trends and properties of human cerebral cortex: Correlations with cortical myelin content, NeuroImage, vol.93, pp.165-175, 2014.
DOI : 10.1016/j.neuroimage.2013.03.060

M. F. Glasser, S. N. Sotiropoulos, J. A. Wilson, T. S. 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

M. F. Glasser and D. C. Van-essen, Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI, Journal of Neuroscience, vol.31, issue.32, 2011.
DOI : 10.1523/JNEUROSCI.2180-11.2011

R. K. Gupta, K. M. Hasan, R. Trivedi, M. Pradhan, V. Das et al., Diffusion tensor imaging of the developing human cerebrum, Journal of Neuroscience Research, vol.22, issue.2, pp.172-178, 2005.
DOI : 10.1017/CBO9780511897085.005

H. A. Haroon, R. J. Binney, and G. J. Parker, Probabilistic quantification of regional cortical microstructural complexity, Proc. Intl Soc Magn Res Med 578, 2010.

R. M. Heidemann, A. Anwander, T. Feiweier, T. R. Knösche, and R. Turner, k-space and q-space: Combining ultra-high spatial and angular resolution in diffusion imaging using ZOOPPA at 7T, NeuroImage, vol.60, issue.2, pp.967-978
DOI : 10.1016/j.neuroimage.2011.12.081

R. M. Heidemann, D. A. Porter, A. Anwander, T. Feiweier, K. Heberlein et al., Diffusion imaging in humans at 7T using readout-segmented EPI and GRAPPA, Magnetic Resonance in Medicine, vol.62, issue.1, pp.9-14, 2010.
DOI : 10.1002/mrm.22122

O. Hinds, J. R. Polimeni, N. Rajendran, M. Balasubramanian, K. Amunts et al., Locating the functional and anatomical boundaries of human primary visual cortex, NeuroImage, vol.46, issue.4, pp.915-922, 2009.
DOI : 10.1016/j.neuroimage.2009.03.036

S. Jbabdi, M. Woolrich, and T. Behrens, Multiple-subjects connectivitybased parcellation using hierarchical Dirichlet process mixture models, 2009.

H. Johansen-berg, T. E. Behrens, M. D. Robson, I. Drobnjak, M. F. Rushworth et al., Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex, Proceedings of the National Academy of Sciences, vol.11, issue.1, pp.13335-13375, 2004.
DOI : 10.1097/00001756-200001170-00037

M. Kleinnijenhuis, T. Van-mourik, D. G. Norris, D. J. Ruiter, A. Van-walsum et al., Diffusion tensor characteristics of gyrencephaly using high resolution diffusion MRI in vivo at 7T, NeuroImage, vol.109, pp.378-387, 2015.
DOI : 10.1016/j.neuroimage.2015.01.001

E. Kuehn, J. Dinse, E. Jakobsen, X. Long, A. Schäfer et al., Body Topography Parcellates Human Sensory and Motor Cortex, Cerebral Cortex, vol.35, issue.Pt 2, pp.1-16, 2017.
DOI : 10.1523/JNEUROSCI.4246-14.2015
URL : https://academic.oup.com/cercor/article-pdf/27/7/3790/17949772/bhx026.pdf

L. Bihan and D. , Looking into the functional architecture of the brain with diffusion MRI, Nature Reviews Neuroscience, vol.48, issue.Suppl. 1, pp.469-480, 1119.
DOI : 10.1002/mrm.10181
URL : https://hal.archives-ouvertes.fr/hal-00349696

L. Bihan, D. Poupon, C. Amadon, A. Lethimonnier, and F. , Artifacts and pitfalls in diffusion MRI, Journal of Magnetic Resonance Imaging, vol.98, issue.12, pp.478-488, 2006.
DOI : 10.1007/978-3-540-45087-0_57
URL : https://hal.archives-ouvertes.fr/hal-00349658

C. M. Leonard, C. Puranik, J. M. Kuldau, and L. J. Lombardino, Normal variation in the frequency and location of human auditory cortex landmarks. Heschl's gyrus: where is it?, Cerebral Cortex, vol.8, issue.5, pp.397-406, 1998.
DOI : 10.1093/cercor/8.5.397

C. W. Leuze, A. Anwander, P. Bazin, B. Dhital, C. Stüber et al., Layer-Specific Intracortical Connectivity Revealed with Diffusion MRI, Cerebral Cortex, vol.107, issue.28, pp.328-339, 2014.
DOI : 10.1073/pnas.1002113107
URL : https://academic.oup.com/cercor/article-pdf/24/2/328/992226/bhs311.pdf

B. Lewis and H. Clarke, The Cortical Lamination of the Motor Area of the Brain, Proceedings of the Royal Society of London, vol.27, issue.185-189, pp.38-49, 1878.
DOI : 10.1098/rspl.1878.0010

R. C. Mckinstry, A. Mathur, J. H. Miller, A. Ozcan, A. Z. Snyder et al., Radial Organization of Developing Preterm Human Cerebral Cortex Revealed by Non-invasive Water Diffusion Anisotropy MRI, Cerebral Cortex, vol.12, issue.12, pp.1237-1243, 2002.
DOI : 10.1093/cercor/12.12.1237

J. A. Mcnab, S. Jbabdi, S. C. Deoni, G. Douaud, T. E. Behrens et al., High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession, NeuroImage, vol.46, issue.3, pp.775-785, 2009.
DOI : 10.1016/j.neuroimage.2009.01.008

J. A. Mcnab, J. R. Polimeni, R. Wang, J. C. Augustinack, K. Fujimoto et al., Surface based analysis of diffusion orientation for identifying architectonic domains in the in vivo human cortex, NeuroImage, vol.69
DOI : 10.1016/j.neuroimage.2012.11.065

D. Moreno-dominguez, A. Anwander, and T. R. Knösche, A hierarchical method for whole-brain connectivity-based parcellation, Human Brain Mapping, vol.205, issue.10, pp.5000-5025, 2014.
DOI : 10.1111/j.0021-8782.2004.00357.x

V. Mountcastle, The columnar organization of the neocortex, Brain, vol.120, issue.4, 1997.
DOI : 10.1093/brain/120.4.701

P. Mukherjee, J. H. Miller, J. S. Shimony, J. V. Philip, D. Nehra et al., Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation, AJNR. Am. J. Neuroradiol, vol.23, pp.1445-56, 2002.

Z. Nagy, D. C. Alexander, D. L. Thomas, N. Weiskopf, and M. I. Sereno, Using High Angular Resolution Diffusion Imaging Data to Discriminate Cortical Regions, PLoS ONE, vol.70, issue.4, p.63842, 2013.
DOI : 10.1371/journal.pone.0063842.t001

Z. Nagy, T. Ganepola, M. I. Sereno, N. Weiskopf, and D. C. Alexander, Combining HARDI Datasets With More than One b-value Improves Diffusion MRI-Based Cortical Parcellation, Proceedings of the 22th Annual Meeting of ISMRM, p.800, 2014.

G. A. Orban, D. Van-essen, and W. Vanduffel, Comparative mapping of higher visual areas in monkeys and humans, Trends in Cognitive Sciences, vol.8, issue.7, 2004.
DOI : 10.1016/j.tics.2004.05.009

E. Özarslan and T. H. Mareci, Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging, Magnetic Resonance in Medicine, vol.48, issue.5, pp.955-965, 2003.
DOI : 10.1002/mrm.10250

T. Papadopoulo, A. Ghosh, and R. Deriche, Athena Project Team Complete set of invariants of a 4th order tensor: the 12 tasks of HARDI from ternary quartics

M. Reisert, E. Kellner, B. Dhital, J. Hennig, and V. G. Kiselev, Disentangling micro from mesostructure by diffusion MRI: A Bayesian approach, NeuroImage, vol.147, pp.964-975, 2017.
DOI : 10.1016/j.neuroimage.2016.09.058

P. E. Roland and K. Zilles, Brain atlases - a new research tool, Trends in Neurosciences, vol.17, issue.11, pp.458-46710, 1994.
DOI : 10.1016/0166-2236(94)90131-7

M. Ruschel, T. R. Knösche, A. D. Friederici, R. Turner, S. Geyer et al., Connectivity Architecture and Subdivision of the Human Inferior Parietal Cortex Revealed by Diffusion MRI, Cerebral Cortex, vol.18, issue.9, pp.2436-2448, 2014.
DOI : 10.1016/j.neuropsychologia.2008.01.004

R. M. Sánchez-panchuelo, J. Besle, O. Mougin, P. Gowland, R. Bowtell et al., Regional structural differences across functionally parcellated Brodmann areas of human primary somatosensory cortex, NeuroImage, vol.93, pp.221-230, 2014.
DOI : 10.1016/j.neuroimage.2013.03.044

R. M. Sánchez-panchuelo, S. T. Francis, D. Schluppeck, and R. W. Bowtell, Correspondence of human visual areas identified using functional and anatomical MRI in vivo at 7 T, Journal of Magnetic Resonance Imaging, vol.210, issue.Suppl 1, pp.287-299, 2012.
DOI : 10.1007/s00429-005-0029-1

A. Schleicher, N. Palomero-gallagher, P. Morosan, S. B. Eickhoff, T. Kowalski et al., Quantitative architectural analysis: a new approach to cortical mapping, Anatomy and Embryology, vol.93, issue.S1, pp.373-386, 2005.
DOI : 10.1016/B978-012693019-1/50023-X

M. I. Sereno, A. Lutti, N. Weiskopf, and F. Dick, Mapping the Human Cortical Surface by Combining Quantitative T1 with Retinotopy???, Cerebral Cortex, vol.11, issue.9, pp.2261-2268, 2013.
DOI : 10.1038/nrn2776

M. I. Sereno, C. T. Mcdonald, and J. M. Allman, Abstract, Visual Neuroscience, vol.65, 2015.
DOI : 10.1016/0006-8993(74)90936-6
URL : https://hal.archives-ouvertes.fr/hal-01323974

M. I. Sereno and R. B. Tootell, From monkeys to humans: what do we now know about brain homologies?, Current Opinion in Neurobiology, vol.15, issue.2, pp.135-144, 2005.
DOI : 10.1016/j.conb.2005.03.014

I. S. Sigalovsky, B. Fischl, and J. R. Melcher, Mapping an intrinsic MR property of gray matter in auditory cortex of living humans: A possible marker for primary cortex and hemispheric differences, NeuroImage, vol.32, issue.4, pp.1524-1537, 2006.
DOI : 10.1016/j.neuroimage.2006.05.023

S. N. Sotiropoulos, T. E. Behrens, and S. Jbabdi, Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI, NeuroImage, vol.60, issue.2, 2012.
DOI : 10.1016/j.neuroimage.2012.01.056
URL : http://europepmc.org/articles/pmc3304013?pdf=render

S. N. Sotiropoulos, S. Jbabdi, J. Xu, J. L. Andersson, S. Moeller et al., Advances in diffusion MRI acquisition and processing in the Human Connectome Project, NeuroImage, vol.80, pp.125-143, 2013.
DOI : 10.1016/j.neuroimage.2013.05.057

R. Turner, A. Oros-peusquens, and S. Romanzetti, Optimised in vivo visualisation of cortical structures in the human brain at 3 T using IR-TSE, Magnetic Resonance Imaging, vol.26, issue.7, 2008.
DOI : 10.1016/j.mri.2008.01.043

J. M. Lenglet, C. Wu, X. Schmitter, S. De-moortele, and P. F. Others, Pushing spatial and temporal resolution for functional and diffusion {MRI} in the Human Connectome Project, Neuroimage, vol.80, pp.80-104, 2013.

D. C. Van-essen, S. M. Smith, D. M. Barch, T. E. Behrens, E. Yacoub et al., The WU-Minn Human Connectome Project: An overview, NeuroImage, vol.80, pp.62-79, 2013.
DOI : 10.1016/j.neuroimage.2013.05.041

C. Vogt and O. Vogt, Allgemeine ergebnisse unserer hirnforschung, 1919.
DOI : 10.1007/bf01487894

C. F. Von-economo and G. N. Koskinas, Die cytoarchitektonik der hirnrinde des erwachsenen menschen, 1925.

M. D. Waehnert, J. Dinse, A. Schäfer, S. Geyer, P. Bazin et al., A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI, NeuroImage, vol.125, 2016.
DOI : 10.1016/j.neuroimage.2015.10.001

M. D. Waehnert, J. Dinse, M. Weiss, M. N. Streicher, P. Waehnert et al., Anatomically motivated modeling of cortical laminae, NeuroImage, vol.93, pp.210-220, 2014.
DOI : 10.1016/j.neuroimage.2013.03.078

B. A. Wandell, S. O. Dumoulin, and A. A. Brewer, Visual Field Maps in Human Cortex, Neuron, vol.56, issue.2, 2007.
DOI : 10.1016/j.neuron.2007.10.012

L. E. White, T. J. Andrews, C. Hulette, A. Richards, M. Groelle et al., Structure of the human sensorimotor system. I: Morphology and cytoarchitecture of the central sulcus, Cerebral Cortex, vol.7, issue.1, pp.18-30, 1997.
DOI : 10.1093/cercor/7.1.18

H. Zhang, P. L. Hubbard, G. J. Parker, and D. C. Alexander, Axon diameter mapping in the presence of orientation dispersion with diffusion MRI, Neuroimage, vol.56, 2011.

H. Zhang, T. Schneider, C. A. Wheeler-kingshott, and D. C. Alexander, NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, vol.61, issue.4, pp.1000-1016, 2012.
DOI : 10.1016/j.neuroimage.2012.03.072

K. Zilles, A. Schleicher, N. Palomero-gallagher, and K. Amunts, Quantitative Analysis of Cyto- and Receptor Architecture of the Human Brain, Brain Mapp. methods, vol.2, pp.573-602, 2002.
DOI : 10.1016/B978-012693019-1/50023-X