N. Chiaravalloti and J. Deluca, Cognitive impairment in multiple sclerosis, The Lancet Neurology, vol.7, issue.12, pp.1139-1151, 2008.
DOI : 10.1016/S1474-4422(08)70259-X

M. Rocca, M. Amato, D. Stefano, and N. , Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis, The Lancet Neurology, vol.14, issue.3, pp.302-317, 2015.
DOI : 10.1016/S1474-4422(14)70250-9

A. Ruet, M. Deloire, and D. Hamel, Cognitive impairment, health-related quality of life and vocational status at early stages of multiple sclerosis: a 7-year longitudinal study, Journal of Neurology, vol.257, issue.6, pp.776-784, 2013.
DOI : 10.1007/s00415-012-6705-1

R. Dineen, J. Vilisaar, and J. Hlinka, Disconnection as a mechanism for cognitive dysfunction in multiple sclerosis, Brain, vol.132, issue.1, pp.239-249, 2009.
DOI : 10.1093/brain/awn275

N. Sicotte, K. Kern, and B. Giesser, Regional hippocampal atrophy in multiple sclerosis, Brain, vol.131, issue.4, pp.1134-1141, 2008.
DOI : 10.1093/brain/awn030

R. Benedict, D. Ramasamy, F. Munschauer, B. Weinstock-guttman, and R. Zivadinov, Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy, Journal of Neurology, Neurosurgery & Psychiatry, vol.80, issue.2
DOI : 10.1136/jnnp.2008.148403

G. Longoni, M. Rocca, and E. Pagani, Deficits in memory and visuospatial learning correlate with regional hippocampal atrophy in MS, Brain Structure and Function, vol.44, issue.1, pp.435-444, 2015.
DOI : 10.1007/s00429-013-0665-9

K. Koenig, K. Sakaie, and M. Lowe, Hippocampal volume is related to cognitive decline and fornicial diffusion measures in multiple sclerosis, Magnetic Resonance Imaging, vol.32, issue.4, pp.354-358, 2014.
DOI : 10.1016/j.mri.2013.12.012

A. Achiron and Y. Barak, Cognitive impairment in probable multiple sclerosis, Journal of Neurology, Neurosurgery & Psychiatry, vol.74, issue.4, pp.443-446, 2003.
DOI : 10.1136/jnnp.74.4.443

L. Feuillet, F. Reuter, and B. Audoin, Early cognitive impairment in patients with clinically isolated syndrome suggestive of multiple sclerosis, Multiple Sclerosis Journal, vol.76, issue.1, pp.124-127, 2007.
DOI : 10.1002/ana.1032

URL : https://hal.archives-ouvertes.fr/hal-00169069

R. Henry, M. Shieh, and D. Okuda, Regional grey matter atrophy in clinically isolated syndromes at presentation, Journal of Neurology, Neurosurgery & Psychiatry, vol.79, issue.11, pp.1236-1244, 2008.
DOI : 10.1136/jnnp.2007.134825

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827711

M. Rocca, P. Preziosa, and S. Mesaros, Clinically Isolated Syndrome Suggestive of Multiple Sclerosis: Dynamic Patterns of Gray and White Matter Changes???A 2-year MR Imaging Study, Radiology, vol.278, issue.3, pp.841-853, 2016.
DOI : 10.1148/radiol.2015150532

M. Calabrese, F. Rinaldi, and I. Mattisi, The predictive value of gray matter atrophy in clinically isolated syndromes, Neurology, vol.77, issue.3, pp.257-263, 2011.
DOI : 10.1212/WNL.0b013e318220abd4

B. Audoin, W. Zaaraoui, and F. Reuter, Atrophy mainly affects the limbic system and the deep grey matter at the first stage of multiple sclerosis, Journal of Neurology, Neurosurgery & Psychiatry, vol.81, issue.6, pp.690-695, 2010.
DOI : 10.1136/jnnp.2009.188748

URL : https://hal.archives-ouvertes.fr/hal-00557410

N. Bergsland, D. Horakova, and M. Dwyer, Subcortical and Cortical Gray Matter Atrophy in a Large Sample of Patients with Clinically Isolated Syndrome and Early Relapsing-Remitting Multiple Sclerosis, American Journal of Neuroradiology, vol.33, issue.8, pp.1573-1578, 2012.
DOI : 10.3174/ajnr.A3086

P. Preziosa, M. Rocca, and S. Mesaros, Intrinsic Damage to the Major White Matter Tracts in Patients with Different Clinical Phenotypes of Multiple Sclerosis: A Voxelwise Diffusion-Tensor MR Study, Radiology, vol.260, issue.2, pp.541-550, 2011.
DOI : 10.1148/radiol.11110315

R. Cappellani, N. Bergsland, and B. Weinstock-guttman, Diffusion tensor MRI alterations of subcortical deep gray matter in clinically isolated syndrome, Journal of the Neurological Sciences, vol.338, issue.1-2, pp.128-134, 2014.
DOI : 10.1016/j.jns.2013.12.031

M. Deppe, J. Krämer, and J. Tenberge, Early silent microstructural degeneration and atrophy of the thalamocortical network in multiple sclerosis, Human Brain Mapping, vol.59, issue.5, 2016.
DOI : 10.1002/hbm.23144

G. Douaud, R. Menke, and A. Gass, Brain Microstructure Reveals Early Abnormalities more than Two Years prior to Clinical Progression from Mild Cognitive Impairment to Alzheimer's Disease, Journal of Neuroscience, vol.33, issue.5
DOI : 10.1523/JNEUROSCI.4437-12.2013

C. Polman, S. Reingold, and G. Edan, Diagnostic criteria for multiple sclerosis: 2005 revisions to the ???McDonald Criteria???, Annals of Neurology, vol.6, issue.6, pp.840-846, 2005.
DOI : 10.1002/ana.20703

J. Boringa, R. Lazeron, and I. Reuling, The Brief Repeatable Battery of Neuropsychological Tests: normative values allow application in multiple sclerosis clinical practice, Multiple Sclerosis Journal, vol.62, issue.4, pp.263-267, 2001.
DOI : 10.1001/archneur.1997.00550200074013

R. Benedict and R. Zivadinov, Reliability and validity of neuropsychological screening and assessment strategies in MS, Journal of Neurology, vol.251, issue.S2, pp.22-25, 2007.
DOI : 10.1007/s00415-007-2007-4

K. Van-leemput, F. Maes, D. Vandermeulen, A. Colchester, and P. Suetens, Automated segmentation of multiple sclerosis lesions by model outlier detection, IEEE Transactions on Medical Imaging, vol.20, issue.8, pp.677-688, 2001.
DOI : 10.1109/42.938237

J. Manjón, P. Coupé, L. Martí-bonmatí, D. Collins, and M. Robles, Adaptive non-local means denoising of MR images with spatially varying noise levels, Journal of Magnetic Resonance Imaging, vol.17, issue.1, pp.192-203, 2010.
DOI : 10.1002/jmri.22003

B. Avants, N. Tustison, and G. Song, A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2044, 2011.
DOI : 10.1016/j.neuroimage.2010.09.025

P. Coupé, J. Manjón, and V. Fonov, Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation, NeuroImage, vol.54, issue.2, pp.940-954, 2011.
DOI : 10.1016/j.neuroimage.2010.09.018

G. Frisoni, C. Jack, and M. Bocchetta, The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity, Alzheimer's & Dementia, vol.11, issue.2, pp.111-125, 2015.
DOI : 10.1016/j.jalz.2014.05.1756

J. Manjón, P. Coupé, and L. Concha, Diffusion Weighted Image Denoising Using Overcomplete Local PCA, PLoS ONE, vol.103, issue.1, p.73021, 2013.
DOI : 10.1371/journal.pone.0073021.g009

M. Leszczynski, How does hippocampus contribute to working memory processing? Front. Hum
DOI : 10.3389/fnhum.2011.00168

URL : http://doi.org/10.3389/fnhum.2011.00168

R. Dutta, A. Chang, and M. Doud, Demyelination causes synaptic alterations in hippocampi from multiple sclerosis patients, Annals of Neurology, vol.131, issue.3, pp.445-454, 2011.
DOI : 10.1002/ana.22337

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3073544

R. Benedict and R. Zivadinov, Risk factors for and management of cognitive dysfunction in multiple sclerosis, Nature Reviews Neurology, vol.44, issue.6, pp.332-342, 2011.
DOI : 10.1038/nrneurol.2011.61

M. Daams, M. Steenwijk, and M. Schoonheim, Multi-parametric structural magnetic resonance imaging in relation to cognitive dysfunction in long-standing multiple sclerosis, Multiple Sclerosis Journal, vol.22, issue.5, pp.608-619, 2016.
DOI : 10.1177/0269215510367540

P. Preziosa, M. Rocca, and E. Pagani, Structural MRI correlates of cognitive impairment in patients with multiple sclerosis, Human Brain Mapping, vol.275, issue.4, pp.1627-1644, 2016.
DOI : 10.1002/hbm.23125

L. Strober, J. Englert, and F. Munschauer, Sensitivity of conventional memory tests in multiple sclerosis: comparing the Rao Brief Repeatable Neuropsychological Battery and the Minimal Assessment of Cognitive Function in MS, Multiple Sclerosis, vol.15, issue.9, pp.1077-1084, 2009.
DOI : 10.1177/1352458509106615

M. Calabrese, M. Battaglini, and A. Giorgio, Imaging distribution and frequency of cortical lesions in patients with multiple sclerosis, Neurology, vol.75, issue.14, pp.1234-1240, 2010.
DOI : 10.1212/WNL.0b013e3181f5d4da

H. Hulst, M. Schoonheim, and Q. Van-geest, Memory impairment in multiple sclerosis: Relevance of hippocampal activation and hippocampal connectivity, Multiple Sclerosis Journal, vol.21, issue.13, 2015.
DOI : 10.1212/WNL.0b013e3181db9957

J. Hagemeier, B. Weinstock-guttman, and N. Bergsland, Iron Deposition on SWI-Filtered Phase in the Subcortical Deep Gray Matter of Patients with Clinically Isolated Syndrome May Precede Structure-Specific Atrophy, American Journal of Neuroradiology, vol.33, issue.8, pp.1596-1601, 2012.
DOI : 10.3174/ajnr.A3030