J. Van-gijn, White matters: small vessels and slow thinking in old age, The Lancet, vol.356, issue.9230, pp.612-613, 2000.
DOI : 10.1016/S0140-6736(00)02599-X

G. Rosenberg, K. Welch, L. Caplan, D. Reis, B. Siesjo et al., White Matter Disorders, Primer on cerebrovascular diseases, pp.371-375, 1997.
DOI : 10.1016/B978-012743170-3.50104-7

O. Salonen, T. Autti, R. Raininko, A. Ylikoski, and T. Erkinjuntti, MRI of the brain in neurologically healthy middle-aged and elderly individuals, Neuroradiology, vol.39, issue.8, pp.537-545, 1997.
DOI : 10.1007/s002340050463

D. Briley, S. Haroon, S. Sergent, and S. Thomas, Does leukoaraiosis predict morbidity and mortality?, Neurology, vol.54, issue.1, pp.90-94, 2000.
DOI : 10.1212/WNL.54.1.90

J. De-groot, F. De-leeuw, M. Oudkerk, G. Van, A. Hofman et al., Cerebral white matter lesions and cognitive function: The Rotterdam scan study, Annals of Neurology, vol.47, issue.2, pp.145-151, 2000.
DOI : 10.1002/1531-8249(200002)47:2<145::AID-ANA3>3.3.CO;2-G

I. Hickie, E. Scott, K. Wilhelm, and H. Brodaty, Subcortical hyperintensities on magnetic resonance imaging in patients with severe depression???A longitudinal evaluation, Biological Psychiatry, vol.42, issue.5, pp.367-374, 1997.
DOI : 10.1016/S0006-3223(96)00363-0

W. Longstreth, . Jr, T. Manolio, A. Arnold, G. Burke et al., Clinical Correlates of White Matter Findings on Cranial Magnetic Resonance Imaging of 3301 Elderly People: The Cardiovascular Health Study, Stroke, vol.27, issue.8, pp.1274-1282, 1996.
DOI : 10.1161/01.STR.27.8.1274

L. Pantoni, D. Leys, F. Fazekas, W. Longstreth, . Jr et al., Role of white matter lesions in cognitive impairment of vascular origin, Alzheimer Dis Assoc Disord, vol.13, pp.49-54, 1999.

K. Baum, C. Schulte, W. Girke, F. Reischies, and R. Felix, Incidental white-matter foci on MRI in "healthy" subjects: evidence of subtle cognitive dysfunction, Neuroradiology, vol.38, issue.8, pp.755-760, 1996.
DOI : 10.1007/s002340050342

L. Pantoni and J. Garcia, The Significance of Cerebral White Matter Abnormalities 100 Years After Binswanger's Report : A Review, Stroke, vol.26, issue.7, pp.1293-1301, 1995.
DOI : 10.1161/01.STR.26.7.1293

N. Raz and K. Rodrigue, Differential aging of the brain: Patterns, cognitive correlates and modifiers, Neuroscience & Biobehavioral Reviews, vol.30, issue.6, pp.730-748, 2006.
DOI : 10.1016/j.neubiorev.2006.07.001

C. Dufouil, A. Kersaint-gilly, V. Besancon, C. Levy, E. Auffray et al., Longitudinal study of blood pressure and white matter hyperintensities: The EVA MRI Cohort, Neurology, vol.56, issue.7, pp.921-926, 2001.
DOI : 10.1212/WNL.56.7.921

T. Horikoshi, S. Yagi, and A. Fukamachi, Incidental high-intensity foci in white matter on T2-weighted magnetic resonance imaging, Neuroradiology, vol.46, issue.2, pp.151-155, 1993.
DOI : 10.1007/BF00593975

R. Nebes, I. Vora, C. Meltzer, M. Fukui, R. Williams et al., Relationship of Deep White Matter Hyperintensities and Apolipoprotein E Genotype to Depressive Symptoms in Older Adults Without Clinical Depression, American Journal of Psychiatry, vol.158, issue.6, pp.878-884, 2001.
DOI : 10.1176/appi.ajp.158.6.878

V. Stenset, L. Johnsen, D. Kocot, A. Negaard, A. Skinningsrud et al., Associations between white matter lesions, cerebrovascular risk factors, and low CSF A??42, Neurology, vol.67, issue.5, pp.830-833, 2006.
DOI : 10.1212/01.wnl.0000234030.77831.5a

F. De-leeuw, F. Richard, J. De-groot, C. Van-duijn, A. Hofman et al., Interaction Between Hypertension, apoE, and Cerebral White Matter Lesions, Stroke, vol.35, issue.5, pp.1057-1060, 2004.
DOI : 10.1161/01.STR.0000125859.71051.83

D. Liao, L. Cooper, J. Cai, J. Toole, N. Bryan et al., Presence and Severity of Cerebral White Matter Lesions and Hypertension, Its Treatment, and Its Control: The ARIC Study, Stroke, vol.27, issue.12, pp.2262-2270, 1996.
DOI : 10.1161/01.STR.27.12.2262

M. Bots, J. Van-swieten, M. Breteler, P. De-jong, G. Van et al., Cerebral white matter lesions and atherosclerosis in the Rotterdam Study, The Lancet, vol.341, issue.8855, pp.1232-1237, 1993.
DOI : 10.1016/0140-6736(93)91144-B

L. Fried, N. Borhani, P. Enright, C. Furberg, J. Gardin et al., The cardiovascular health study: Design and rationale, Annals of Epidemiology, vol.1, issue.3, pp.263-276, 1991.
DOI : 10.1016/1047-2797(91)90005-W

R. Mantyla, T. Erkinjuntti, O. Salonen, H. Aronen, T. Peltonen et al., Variable Agreement Between Visual Rating Scales for White Matter Hyperintensities on MRI : Comparison of 13 Rating Scales in a Poststroke Cohort, Stroke, vol.28, issue.8, pp.1614-1623, 1997.
DOI : 10.1161/01.STR.28.8.1614

D. Van-den-heuvel, V. Dam, A. De-craen, F. Admiraal-behloul, A. Van-es et al., Measuring longitudinal white matter changes: comparison of a visual rating scale with a volumetric measurement, Am J Neuroradiol, vol.27, pp.875-878, 2006.

C. Jack, O. Jr, P. Brien, D. Rettman, M. Shiung et al., FLAIR histogram segmentation for measurement of leukoaraiosis volume, Journal of Magnetic Resonance Imaging, vol.16, issue.6, pp.668-676, 2001.
DOI : 10.1002/jmri.10011

W. Wen and P. Sachdev, The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals, NeuroImage, vol.22, issue.1, pp.144-154, 2004.
DOI : 10.1016/j.neuroimage.2003.12.027

F. Admiraal-behloul, D. Van-den-heuvel, H. Olofsen, M. Van-osch, G. Van-der et al., Fully automatic segmentation of white matter hyperintensities in MR images of the elderly, NeuroImage, vol.28, issue.3, pp.607-617, 2005.
DOI : 10.1016/j.neuroimage.2005.06.061

M. Wu, C. Rosano, P. Lopez-garcia, C. Carter, and H. Aizenstein, Optimum template selection for atlas-based segmentation, NeuroImage, vol.34, issue.4, pp.1612-1618, 2007.
DOI : 10.1016/j.neuroimage.2006.07.050

R. Bakshi, S. Caruthers, V. Janardhan, and M. Wasay, Intraventricular CSF pulsation artifact on fast fluid-attenuated inversion-recovery MR images: analysis of 100 consecutive normal studies, Am J Neuroradiol, vol.21, pp.503-508, 2000.

R. Bakshi, S. Ariyaratana, R. Benedict, and L. Jacobs, Fluid-Attenuated Inversion Recovery Magnetic Resonance Imaging Detects Cortical and Juxtacortical Multiple Sclerosis Lesions, Archives of Neurology, vol.58, issue.5, pp.742-748, 2001.
DOI : 10.1001/archneur.58.5.742

N. Tanaka, T. Abe, K. Kojima, H. Nishimura, and N. Hayabuchi, Applicability and advantages of flow artifact-insensitive fluidattenuated inversion-recovery MR sequences for imaging the posterior fossa, Am J Neuroradiol, vol.21, pp.1095-1098, 2000.

S. Mueller, M. Weiner, L. Thal, R. Petersen, C. Jack et al., Ways toward an early diagnosis in Alzheimer???s disease: The Alzheimer???s Disease Neuroimaging Initiative (ADNI), Alzheimer's & Dementia, vol.1, issue.1, pp.55-66, 2005.
DOI : 10.1016/j.jalz.2005.06.003

A. Alperovitch, P. Amouyel, J. Dartigues, P. Ducimetiere, B. Mazoyer et al., Les ??tudes ??pid??miologiques sur le vieillissement en France??: de l?????tude Paquid ?? l?????tude des Trois Cit??s, Comptes Rendus Biologies, vol.325, issue.6, pp.665-672, 2002.
DOI : 10.1016/S1631-0691(02)01476-2

R. Woods, S. Grafton, C. Holmes, S. Cherry, and J. Mazziotta, Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation, Journal of Computer Assisted Tomography, vol.22, issue.1, pp.139-152, 1998.
DOI : 10.1097/00004728-199801000-00027

U. Pietrzyk, K. Herholz, G. Fink, A. Jacobs, R. Mielke et al., An interactive technique for threedimensional image registration: validation for PET, SPECT, MRI and CT brain studies, J Nucl Med, vol.35, pp.2011-2018, 1994.

L. Verard, P. Allain, J. Travere, J. Baron, and D. Bloyet, Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis, IEEE Transactions on Medical Imaging, vol.16, issue.5, pp.610-616, 1997.
DOI : 10.1109/42.640751

S. Gicquel, Détection, quantification et localisation automatiques des hypersignaux de la substance blanche en Imagerie par Résonance Magnétique Brain segmentation and white matter lesion detection in MR images, Zijdenbos AP, Dawant BM Crit Rev Biomed Eng, vol.35, issue.22, pp.401-465, 1994.

C. Good, I. Johnsrude, J. Ashburner, R. Henson, K. Friston et al., A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains, NeuroImage, vol.14, issue.1, pp.21-36, 2001.
DOI : 10.1006/nimg.2001.0786

K. Friston, A. Holmes, K. Worsley, J. Poline, C. Frith et al., Statistical parametric maps in functional imaging: A general linear approach, Human Brain Mapping, vol.26, issue.4, pp.189-210, 1995.
DOI : 10.1002/hbm.460020402

J. Ashburner and K. Friston, Voxel-Based Morphometry???The Methods, NeuroImage, vol.11, issue.6, pp.805-821, 2000.
DOI : 10.1006/nimg.2000.0582

H. Lemaitre, F. Crivello, B. Grassiot, A. Alperovitch, C. Tzourio et al., Age- and sex-related effects on the neuroanatomy of healthy elderly, NeuroImage, vol.26, issue.3, pp.900-911, 2005.
DOI : 10.1016/j.neuroimage.2005.02.042

P. Scheltens, F. Barkhof, J. Valk, P. Algra, R. Van-der-hoop et al., WHITE MATTER LESIONS ON MAGNETIC RESONANCE IMAGING IN CLINICALLY DIAGNOSED ALZHEIMER'S DISEASE: EVIDENCE FOR HETEROGENEITY, Brain, vol.115, issue.3, pp.735-748, 1992.
DOI : 10.1093/brain/115.3.735

B. Johnston, Three-dimensional partial volume brain tissue segmentation of multispectral magnetic resonance images using stochastic relaxation. SPIE Non-Linear Image Processing VI 2180, pp.268-279, 1994.

J. Rajapakse, C. Decarli, A. Mclaughlin, J. Giedd, A. Krain et al., Cerebral Magnetic Resonance Image Segmentation Using Data Fusion, Journal of Computer Assisted Tomography, vol.20, issue.2, pp.206-218, 1996.
DOI : 10.1097/00004728-199603000-00007

T. Hebert, Fast iterative segmentation of high resolution medical images, IEEE Transactions on Nuclear Science, vol.44, issue.3, pp.1362-1367, 1997.
DOI : 10.1109/23.597014

B. Sajja, S. Datta, R. He, M. Mehta, R. Gupta et al., Unified Approach for Multiple Sclerosis Lesion Segmentation on Brain MRI, Annals of Biomedical Engineering, vol.21, issue.1, pp.142-151, 2006.
DOI : 10.1007/s10439-005-9009-0

C. Decarli, E. Fletcher, V. Ramey, D. Harvey, and W. Jagust, Anatomical Mapping of White Matter Hyperintensities (WMH): Exploring the Relationships Between Periventricular WMH, Deep WMH, and Total WMH Burden, Stroke, vol.36, issue.1, pp.50-55, 2005.
DOI : 10.1161/01.STR.0000150668.58689.f2

C. Enzinger, S. Smith, F. Fazekas, G. Drevin, S. Ropele et al., Lesion probability maps of white matter hyperintensities in elderly individuals, Journal of Neurology, vol.36, issue.8, pp.1064-1070, 2006.
DOI : 10.1007/s00415-006-0164-5

M. Yoshita, E. Fletcher, D. Harvey, M. Ortega, O. Martinez et al., Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD, Neurology, vol.67, issue.12, pp.2192-2198, 2006.
DOI : 10.1212/01.wnl.0000249119.95747.1f

G. Whitman, Y. Tang, A. Lin, and R. Baloh, A prospective study of cerebral white matter abnormalities in older people with gait dysfunction, Neurology, vol.57, issue.6, pp.990-994, 2001.
DOI : 10.1212/WNL.57.6.990

W. Taylor, J. Macfall, J. Provenzale, M. Payne, D. Mcquoid et al., Serial MR Imaging of Volumes of Hyperintense White Matter Lesions in Elderly Patients: Correlation with Vascular Risk Factors, American Journal of Roentgenology, vol.181, issue.2, pp.571-576, 2003.
DOI : 10.2214/ajr.181.2.1810571

D. Van-den-heuvel, V. Dam, A. De-craen, F. Admiraal-behloul, H. Olofsen et al., Increase in periventricular white matter hyperintensities parallels decline in mental processing speed in a non-demented elderly population, Journal of Neurology, Neurosurgery & Psychiatry, vol.77, issue.2, pp.149-153, 2006.
DOI : 10.1136/jnnp.2005.070193

E. Van-dijk, M. Breteler, R. Schmidt, K. Berger, L. Nilsson et al., The Association Between Blood Pressure, Hypertension, and Cerebral White Matter Lesions: Cardiovascular Determinants of Dementia Study, Hypertension, vol.44, issue.5, pp.625-630, 2004.
DOI : 10.1161/01.HYP.0000145857.98904.20

C. Dufouil, J. Chalmers, O. Coskun, V. Besancon, M. Bousser et al., Effects of Blood Pressure Lowering on Cerebral White Matter Hyperintensities in Patients With Stroke: The PROGRESS (Perindopril Protection Against Recurrent Stroke Study) Magnetic Resonance Imaging Substudy, Circulation, vol.112, issue.11, pp.1644-1650, 2005.
DOI : 10.1161/CIRCULATIONAHA.104.501163

URL : https://hal.archives-ouvertes.fr/inserm-00175957

M. Park, J. I. Park, M. Kim, T. Jo, S. Shin et al., Cerebral white matter lesions and hypertension status in the elderly Korean: the Ansan Study, Archives of Gerontology and Geriatrics, vol.40, issue.3, pp.265-273, 2005.
DOI : 10.1016/j.archger.2004.09.003

L. Launer, K. Berger, M. Breteler, C. Dufouil, R. Fuhrer et al., Regional variability in the prevalence of cerebral white matter lesions: an MRI study in 9, 2006.

F. De-leeuw, J. De-groot, E. Achten, M. Oudkerk, L. Ramos et al., Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study, Journal of Neurology, Neurosurgery & Psychiatry, vol.70, issue.1, pp.9-14, 2001.
DOI : 10.1136/jnnp.70.1.9

E. Van-straaten, F. Fazekas, E. Rostrup, P. Scheltens, R. Schmidt et al., Impact of White Matter Hyperintensities Scoring Method on Correlations With Clinical Data: The LADIS Study, Stroke, vol.37, issue.3, pp.836-840, 2006.
DOI : 10.1161/01.STR.0000202585.26325.74

S. Bae, I. Lyoo, Y. Sung, J. Yoo, A. Chung et al., Increased white matter hyperintensities in male methamphetamine abusers, Drug and Alcohol Dependence, vol.81, issue.1, pp.83-88, 2006.
DOI : 10.1016/j.drugalcdep.2005.05.016

A. Leuchter, J. Dunkin, R. Lufkin, Y. Anzai, I. Cook et al., Effect of white matter disease on functional connections in the aging brain., Journal of Neurology, Neurosurgery & Psychiatry, vol.57, issue.11, pp.1347-1354, 1994.
DOI : 10.1136/jnnp.57.11.1347

H. Soderlund, L. Nilsson, K. Berger, M. Breteler, C. Dufouil et al., Cerebral changes on MRI and cognitive function: The CASCADE study, Neurobiology of Aging, vol.27, issue.1, pp.16-23, 2006.
DOI : 10.1016/j.neurobiolaging.2004.12.008