C. Agudelo, H. J. Aizenstein, J. F. Karp, and C. F. Reynolds-iii, Applications of magnetic resonance imaging for treatment-resistant late-life depression, Dialogues Clin. Neurosci, vol.17, issue.2, p.151, 2015.

T. N. Akbaraly, M. L. Ancelin, I. Jaussent, C. Ritchie, P. Barberger-gateau et al., Metabolic syndrome and onset of depressive symptoms in the elderly: findings from the three-city study, Diabetes Care, vol.34, issue.4, pp.904-909, 2011.
URL : https://hal.archives-ouvertes.fr/inserm-00588145

G. S. Alexopoulos, Depression in the elderly, The Lancet, vol.365, issue.9475, pp.1961-1970, 2005.

G. S. Alexopoulos, F. M. Gunning-dixon, V. Latoussakis, D. Kanellopoulos, and C. F. Murphy, Anterior cingulate dysfunction in geriatric depression, Int. J. Geriatr. Psychiatr, vol.23, issue.4, pp.347-355, 2008.

G. S. Alexopoulos, B. S. Meyers, R. C. Young, T. Kakuma, M. Feder et al., Recovery in geriatric depression, Arch. Gen. Psychiatr, vol.53, issue.4, pp.305-312, 1996.

C. Andreescu, M. A. Butters, A. Begley, T. Rajji, M. Wu et al., Gray matter changes in late life depression-a structural MRI analysis, Neuropsychopharmacology, vol.33, issue.11, pp.2566-2572, 2008.

D. Arnone, A. M. Mcintosh, K. P. Ebmeier, M. R. Munafo, and I. M. Anderson, Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses, Eur. Neuropsychopharmacol, vol.22, issue.1, pp.1-16, 2012.

M. Ballmaier, K. L. Narr, A. W. Toga, V. Elderkin-thompson, P. M. Thompson et al., Hippocampal morphology and distinguishing late-onset from earlyonset elderly depression, Am. J. Psychiatr, vol.165, issue.2, pp.229-237, 2008.

M. Ballmaier, A. W. Toga, R. E. Blanton, E. R. Sowell, H. Lavretsky et al., Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: an MRI-based parcellation of the prefrontal cortex, Am. J. Psychiatr, vol.161, issue.1, pp.99-108, 2004.

A. M. Bao, G. Meynen, and D. F. Swaab, The stress system in depression and neurodegeneration: focus on the human hypothalamus, Brain Res. Rev, vol.57, issue.2, pp.531-553, 2008.

S. Bell-mcginty, M. A. Butters, C. C. Meltzer, P. J. Greer, C. F. Reynolds-iii et al., Brain morphometric abnormalities in geriatric depression: long-term neurobiological effects of illness duration, Am. J. Psychiatr, vol.159, issue.8, pp.1424-1427, 2002.

M. Bellani, N. Dusi, P. Yeh, J. C. Soares, and P. Brambilla, The effects of antidepressants on human brain as detected by imaging studies. Focus on major depression, Prog. Neuro Psychopharmacol. Biol. Psychiatr, vol.35, issue.7, pp.1544-1552, 2011.

S. Benjamin and D. C. Steffens, Structural neuroimaging of geriatric depression, Psychiatr. Clin, vol.34, issue.2, p.423, 2011.

M. Boccardi, R. Ganzola, M. Bocchetta, M. Pievani, A. Redolfi et al., Survey of protocols for the manual segmentation of the Hippocampus: preparatory steps towards a joint EADC-ADNI harmonized protocol, J. Alzheimer', 2011.

E. Bora, B. J. Harrison, C. G. Davey, M. Yücel, and C. Pantelis, Meta-analysis of volumetric abnormalities in cortico-striatal-pallidal-thalamic circuits in major depressive disorder, Psychol. Med, vol.42, issue.04, pp.671-681, 2012.

J. D. Bremner, M. Narayan, E. R. Anderson, L. H. Staib, H. L. Miller et al., Hippocampal volume reduction in major depression, Am. J. Psychiatr, vol.157, issue.1, pp.115-118, 2000.

J. D. Bremner, M. Vythilingam, E. Vermetten, A. Nazeer, J. Adil et al., Reduced volume of orbitofrontal cortex in major depression, Biol. Psychiatr, vol.51, issue.4, pp.273-279, 2002.

D. Büchtemann, M. Luppa, A. Bramesfeld, and S. Riedel-heller, Incidence of late-life depression: a systematic review, J. Affect. Disord, vol.142, issue.1-3, pp.172-179, 2012.

S. Campbell and G. Macqueen, The role of the hippocampus in the pathophysiology of major depression, Journal of Psychiatry and Neuroscience, vol.29, issue.6, p.417, 2004.

S. Campbell, M. Marriott, C. Nahmias, and G. M. Macqueen, Lower hippocampal volume in patients suffering from depression: a meta-analysis, Am. J. Psychiatr, 2014.

I. Carriere, K. Peres, M. L. Ancelin, V. Gourlet, C. Berr et al., Metabolic syndrome and disability: findings from the prospective three-city study, Journals of Gerontology. Series A: Biological Sciences and Medical Sciences, vol.69, issue.1, pp.79-86, 2014.
URL : https://hal.archives-ouvertes.fr/inserm-00854455

M. G. Cole and N. Dendukuri, Risk factors for depression among elderly community subjects: a systematic review and meta-analysis, Am. J. Psychiatr, vol.160, issue.6, pp.1147-1156, 2014.

A. M. Dale, B. Fischl, and M. I. Sereno, Cortical surface-based analysis. I. Segmentation and surface reconstruction, Neuroimage, vol.9, issue.2, pp.179-194, 1999.

P. J. Davis and E. A. Wright, A new method for measuring cranial cavity volume and its application to the assessment of cerebral atrophy at autopsy, Neuropathol. Appl. Neurobiol, pp.341-358, 1977.

R. De-flores, R. La-joie, and G. Chetelat, Structural imaging of hippocampal subfields in healthy aging and Alzheimer's disease, Neuroscience, vol.309, pp.29-50, 2015.

R. S. Desikan, F. Segonne, B. Fischl, B. T. Quinn, B. C. Dickerson et al., An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, Neuroimage, vol.31, issue.3, pp.968-980, 2006.

O. Devinsky, M. J. Morrell, and B. A. Vogt, Contributions of anterior cingulate cortex to behaviour, Brain, vol.118, issue.1, pp.279-306, 1995.

M. Du, J. Liu, Z. Chen, X. Huang, J. Li et al., Brain grey matter volume alterations in late-life depression, Journal of Psychiatry and Neuroscience, vol.39, issue.6, pp.397-406, 2014.

K. Egger, M. Schocke, E. Weiss, S. Auffinger, R. Esterhammer et al., Pattern of brain atrophy in elderly patients with depression revealed by voxel-based morphometry, Psychiatr. Res. Neuroimaging, vol.164, issue.3, pp.237-244, 2008.

C. Eker and A. S. Gonul, Volumetric MRI studies of the hippocampus in major depressive disorder: meanings of inconsistency and directions for future research, World J. Biol. Psychiatr, vol.11, issue.1, pp.19-35, 2010.

B. Fischl, M. I. Sereno, and A. M. Dale, Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system, Neuroimage, vol.9, issue.2, pp.195-207, 1999.

B. Fischl, M. I. Sereno, R. B. Tootell, and A. M. Dale, High-resolution intersubject averaging and a coordinate system for the cortical surface, Hum. Brain Mapp, vol.8, issue.4, pp.272-284, 1999.

B. Fischl, A. Van-der-kouwe, C. Destrieux, E. Halgren, F. Ségonne et al., Automatically parcellating the human cerebral cortex, Cerebr. Cortex, vol.14, issue.1, pp.11-22, 2004.

T. Frodl, A. Schaub, S. Banac, and M. Charypar, Reduced hippocampal volume correlates with executive dysfunctioning in major depression, Journal of psychiatry & neuroscience: JPN (J. Psychiatry Neurosci.), vol.31, issue.5, p.316, 2006.

T. S. Frodl, N. Koutsouleris, R. Bottlender, C. Born, M. Jäger et al., Depression-related variation in brain morphology over 3 Years: effects of stress? Arch, Gen. Psychiatr, vol.65, issue.10, pp.1156-1165, 2008.

M. I. Geerlings, S. Sigurdsson, G. Eiriksdottir, M. E. Garcia, T. B. Harris et al., Associations of current and remitted major depressive disorder with brain atrophy: the AGES-Reykjavik Study, Psychol. Med, vol.43, issue.02, pp.317-328, 2013.

E. Geuze, E. Vermetten, and J. D. Bremner, MR-based in vivo hippocampal volumetrics: 2. Findings in neuropsychiatric disorders, Mol. Psychiatr, vol.10, issue.2, pp.160-184, 2005.

J. A. Gray and N. Mcnaughton, Comparison between the behavioural effects of septal and hippocampal lesions: a review, Neurosci. Biobehav. Rev, vol.7, issue.2, pp.119-188, 1983.

S. M. Grundy, J. I. Cleeman, S. R. Daniels, K. A. Donato, R. H. Eckel et al., Diagnosis and management of the metabolic syndrome: an american heart association/national heart, lung, and blood institute scientific statement, Circulation, vol.112, issue.17, pp.2735-2752, 2005.

F. M. Gunning, J. Cheng, C. F. Murphy, D. Kanellopoulos, J. Acuna et al., Anterior cingulate cortical volumes and treatment remission of geriatric depression, Int. J. Geriatr. Psychiatr, vol.24, issue.8, pp.829-836, 2009.

J. P. Hamilton, M. Siemer, and I. H. Gotlib, Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies, Mol. Psychiatr, vol.13, issue.11, pp.993-1000, 2008.

I. Hickie, S. Naismith, P. B. Ward, K. Turner, E. Scott et al., Reduced hippocampal volumes and memory loss in patients with early-and late-onset depression, Br. J. Psychiatr, vol.186, issue.3, pp.197-202, 2005.

Y. Hsu, N. Schuff, A. Du, K. Mark, X. Zhu et al., Comparison of automated and manual MRI volumetry of hippocampus in normal aging and dementia, J. Magn. Reson. Imag, vol.16, issue.3, pp.305-310, 2002.

Y. Huang, N. J. Coupland, R. M. Lebel, R. Carter, P. Seres et al., Structural changes in hippocampal subfields in major depressive disorder: a high-field magnetic resonance imaging study, Biol. Psychiatr, vol.74, issue.1, pp.62-68, 2013.

C. R. Jack, R. C. Petersen, P. C. O'brien, and E. G. Tangalos, MR-based hippocampal volumetry in the diagnosis of Alzheimer's disease, Neurology, vol.42, issue.1, pp.183-188, 1992.

B. L. Jacobs, H. Van-praag, and F. H. Gage, Adult brain neurogenesis and psychiatry: a novel theory of depression, Mol. Psychiatr, vol.5, issue.3, 2000.

M. Jose, E. Stern, G. S. Alexopoulos, H. Pan, W. Van-gorp et al., , 2001.

. Aug, Hippocampal and anterior cingulate activation deficits in patients with geriatric depression, Am. J. Psychiatr, vol.158, issue.8, pp.1521-1523

C. Konrad, T. Ukas, C. Nebel, V. Arolt, A. W. Toga et al., Defining the human hippocampus in cerebral magnetic resonance images-an overview of current segmentation protocols, Neuroimage, vol.47, issue.4, pp.1185-1195, 2009.

P. C. Koolschijn, N. E. Van-haren, G. J. Lensvelt-mulders, H. E. Hulshoff-pol, and R. S. Kahn, Brain volume abnormalities in major depressive disorder: a metaanalysis of magnetic resonance imaging studies, Hum. Brain Mapp, vol.30, issue.11, pp.3719-3735, 2009.

K. R. Krishnan, Biological risk factors in late life depression, Biol. Psychiatr, vol.52, issue.3, pp.185-192, 2002.

J. Laks and E. Engelhardt, Peculiarities of geriatric psychiatry: a focus on aging and depression: peculiarities of geriatric psychiatry, CNS Neurosci. Ther, vol.16, issue.6, pp.374-379, 2010.

I. K. Lampe, H. E. Hulshoff-pol, J. Janssen, H. G. Schnack, R. S. Kahn et al., Association of depression duration with reduction of global cerebral gray matter volume in female patients with recurrent major depressive disorder, Am. J. Psychiatr, vol.160, issue.11, pp.2052-2054, 2003.

M. Lehmann, A. Douiri, L. G. Kim, M. Modat, D. Chan et al., Atrophy patterns in Alzheimer's disease and semantic dementia: a comparison of FreeSurfer and manual volumetric measurements, Neuroimage, vol.49, issue.3, pp.2264-2274, 2010.

A. J. Lloyd, I. N. Ferrier, R. Barber, A. Gholkar, A. H. Young et al., Hippocampal volume change in depression: late-and early-onset illness compared, Br. J. Psychiatr, vol.184, issue.6, pp.488-495, 2004.

V. Lorenzetti, N. B. Allen, A. Fornito, and M. Yücel, Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies, J. Affect. Disord, vol.117, issue.1-2, pp.1-17, 2009.

J. M. Lyness, B. P. Chapman, J. Mcgriff, R. Drayer, and P. R. Duberstein, One-year outcomes of minor and subsyndromal depression in older primary care patients, Int. Psychogeriatr, vol.21, issue.1, pp.60-68, 2009.

J. J. Maller, Z. J. Daskalakis, and P. B. Fitzgerald, Hippocampal volumetrics in depression: the importance of the posterior tail, Hippocampus, vol.17, issue.11, pp.1023-1027, 2007.

N. V. Malykhin and N. J. Coupland, Hippocampal neuroplasticity in major depressive disorder, Neuroscience, vol.309, pp.200-213, 2015.

M. C. Mckinnon, K. Yucel, A. Nazarov, and G. M. Macqueen, A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder, Journal of psychiatry & neuroscience: JPN (J. Psychiatry Neurosci.), vol.34, issue.1, p.41, 2009.

E. M. Mcmahon, M. Buszewicz, M. Griffin, J. Beecham, E. Bonin et al., Chronic and recurrent depression in primary care: socio-demographic features, morbidity, and costs, International Journal of Family Medicine, vol.2012, pp.1-7, 2012.

B. R. Miller and R. Hen, The current state of the neurogenic theory of depression and anxiety, Curr. Opin. Neurobiol, vol.30, pp.51-58, 2015.

R. A. Morey, C. M. Petty, Y. Xu, J. Pannu-hayes, H. R. Wagner et al., A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes, Neuroimage, vol.45, issue.3, pp.855-866, 2009.

E. Moser, M. Moser, and P. Andersen, Spatial learning impairment parallels the magnitude of dorsal hippocampal lesions, but is hardly present following ventral lesions, J. Neurosci, vol.13, issue.9, pp.3916-3925, 1993.

E. R. Mulder, R. A. De-jong, D. L. Knol, R. A. Van-schijndel, K. S. Cover et al., Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST, Neuroimage, vol.92, pp.169-181, 2014.

B. H. Mulsant and M. Ganguli, Epidemiology and Diagnosis of Depression in Late Life, pp.9-15, 1999.

A. Neumeister, S. Wood, O. Bonne, A. C. Nugent, D. A. Luckenbaugh et al., Reduced hippocampal volume in unmedicated, remitted patients with major depression versus control subjects, Biol. Psychiatr, vol.57, issue.8, pp.935-937, 2005.

J. T. O'brien, A. Lloyd, I. Mckeith, A. Gholkar, and N. Ferrier, A longitudinal study of hippocampal volume, cortisol levels, and cognition in older depressed subjects, 2004.

, J. Psychiatr, vol.161, issue.11, pp.2081-2090

C. Paquola, M. R. Bennett, and J. Lagopoulos, Understanding heterogeneity in grey matter research of adults with childhood maltreatment-A meta-analysis and review, Neurosci. Biobehav. Rev, vol.69, pp.299-312, 2016.

A. Pfefferbaum, D. H. Mathalon, E. V. Sullivan, J. M. Rawles, R. B. Zipursky et al., A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood, Arch. Neurol, vol.51, issue.9, pp.874-887, 1994.

F. Pilar-cuéllar, R. Vidal, A. Díaz, E. Castro, S. Dos-anjos et al., Neural plasticity and proliferation in the generation of antidepressant effects: hippocampal implication, Neural Plast, vol.2013, pp.1-21, 2013.

R. J. Porter, P. Gallagher, J. M. Thompson, and A. H. Young, Neurocognitive impairment in drug-free patients with major depressive disorder, Br. J. Psychiatr, vol.182, issue.3, pp.214-220, 2003.

L. S. Radloff, The CES-d Scale: a self-report depression Scale for research in the general population, Appl. Psychol. Meas, vol.1, issue.3, pp.385-401, 1977.

G. M. Reaven, Role of insulin resistance in human disease, Diabetes, vol.37, issue.12, pp.1595-1607, 1988.

K. Ritchie, S. Artero, I. Beluche, M. L. Ancelin, A. Mann et al., Prevalence of DSM-IV psychiatric disorder in the French elderly population, Br. J. Psychiatry, vol.184, pp.147-152, 2004.

R. M. Sapolsky, Glucocorticoids and hippocampal atrophy in neuropsychiatric disorders, Arch. Gen. Psychiatr, vol.57, issue.10, pp.925-935, 2000.

R. M. Sapolsky, L. C. Krey, and B. S. Mcewen, The neuroendocrinology of stress and aging: the glucocorticoid cascade hypothesis, Endocr. Rev, vol.7, issue.3, pp.284-301, 1986.

L. Schmaal, D. J. Veltman, T. G. Van-erp, P. G. Sämann, T. Frodl et al., Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group, Mol. Psychiatr, vol.21, issue.6, pp.806-812, 2015.

I. Schweitzer, V. Tuckwell, D. Ames, and J. O'brien, Structural neuroimaging studies in late-life depression: a review, World J. Biol. Psychiatr.: The Offic. J. World Federation Soc. Biol. Psychiatr, vol.2, issue.2, pp.83-88, 2001.

G. Serafini, Neuroplasticity and major depression, the role of modern antidepressant drugs, World J. Psychiatr, vol.2, issue.3, p.49, 2012.

D. V. Sheehan, Y. Lecrubier, K. H. Sheehan, P. Amorim, J. Janavs et al., The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10, J. Clin. Psychiatr, vol.59, pp.22-33, 1998.

Y. I. Sheline, Hippocampal atrophy in major depression: a result of depressioninduced neurotoxicity?, Mol. Psychiatr, vol.1, issue.4, pp.298-299, 1996.

Y. I. Sheline, M. Sanghavi, M. A. Mintun, and M. H. Gado, Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression, J. Neurosci, vol.19, issue.12, pp.5034-5043, 1999.

P. T. Sivakumar, S. V. Kalmady, G. Venkatasubramanian, S. Bharath, N. N. Reddy et al., Volumetric analysis of hippocampal sub-regions in late onset depression: a 3 tesla magnetic resonance imaging study, Asian J. Psychiatr, vol.13, pp.38-43, 2015.

D. C. Steffens, C. E. Byrum, D. R. Mcquoid, D. L. Greenberg, M. E. Payne et al., Hippocampal volume in geriatric depression, Biol. Psychiatr, vol.48, issue.4, pp.301-309, 2000.

D. F. Swaab, A. Bao, and P. J. Lucassen, The stress system in the human brain in depression and neurodegeneration, Ageing Res. Rev, vol.4, issue.2, pp.141-194, 2005.

W. S. Tae, S. S. Kim, K. U. Lee, E. Nam, and K. W. Kim, Validation of hippocampal volumes measured using a manual method and two automated methods (FreeSurfer and IBASPM) in chronic major depressive disorder, Neuroradiology, vol.50, issue.7, pp.569-581, 2008.

K. Vakili, S. S. Pillay, B. Lafer, M. Fava, P. F. Renshaw et al., Hippocampal volume in primary unipolar major depression: a magnetic resonance imaging study, Biol. Psychiatr, vol.47, issue.12, pp.1087-1090, 2000.

P. Videbech and B. Ravnkilde, Hippocampal volume and depression: a meta-analysis of MRI studies, Am. J. Psychiatr, vol.161, issue.11, pp.1957-1966, 2004.

C. Watson, C. R. Jack, and F. Cendes, Volumetric magnetic resonance imaging. Clinical applications and contributions to the understanding of temporal lobe epilepsy, Arch. Neurol, vol.54, issue.12, pp.1521-1531, 1997.

, International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10). WHO, Geneva. World Health Organization, Mental Health: New Understanding, New Hope. The World Health Report, 1992.