Hippocampal atrophy and subsequent depressive symptoms in older men and women: Results from a 10-year prospective cohort

American Journal of Epidemiology

Volumn 180, Issue 4, 2014, Pages 385-393

  Elbejjani, Martine ^a   Fuhrer, Rebecca ^a   Abrahamowicz, Michal ^a   Mazoyer, Bernard ^b,c,d   Crivello, Fabrice ^b,c,d   Tzourio, Christophe ^d,e   Dufouil, Carole ^d,e,f  

^a MCGILL UNIVERSITY   (Canada)

^b CNRS   (France)

^c DIF   (France)

^d UNIVERSITÉ DE BORDEAUX   (France)

^e INSERM   (France)

^f Centre of Clinical Investigation Clinical Epidemiology   (France)

Author keywords

Aging; Atrophy; Cohort; Depression; Hippocampus; Imaging; Longitudinal analyses

Indexed keywords

AGING; COHORT ANALYSIS; HEALTH RISK; LONGITUDINAL GRADIENT; NERVOUS SYSTEM DISORDER; PUBLIC HEALTH; SYMPTOM; VOLUME;

ADULT; AGED; ARTICLE; BRAIN ATROPHY; BRAIN REGION; CENTER FOR EPIDEMIOLOGICAL STUDIES DEPRESSION SCALE; CLINICAL ASSESSMENT; DEPRESSION; DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; FOLLOW UP; HIPPOCAMPAL ATROPHY; HIPPOCAMPUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PROSPECTIVE STUDY; SENSITIVITY ANALYSIS; ATROPHY; PATHOLOGY; PSYCHOLOGICAL RATING SCALE; SEX DIFFERENCE; VERY ELDERLY;

BOURGOGNE; COTE D'OR; DIJON; FRANCE;

AGED; AGED, 80 AND OVER; ATROPHY; DEPRESSION; FEMALE; HIPPOCAMPUS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEUROIMAGING; PROSPECTIVE STUDIES; PSYCHIATRIC STATUS RATING SCALES; SEX FACTORS;

EID: 84907363575     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwu132     Document Type: Article

References (54)

1. Koolschijn PC, van Haren NE, Lensvelt-Mulders GJ, et al. Brain volume abnormalities in major depressive disorder: a meta-Analysis of magnetic resonance imaging studies. Hum Brain Mapp. 2009;30(11): 3719-3735.
2. Campbell S, Marriott M, Nahmias C, et al. Lower hippocampal volume in patients suffering from depression: a meta-Analysis. Am J Psychiatry. 2004;161(4): 598-607.
3. Videbech P, Ravnkilde B. Hippocampal volume and depression: a meta-Analysis of MRI studies. Am J Psychiatry. 2004;161(11): 1957-1966.
4. McKinnon MC, Yucel K, Nazarov A, et al. A meta-Analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci. 2009;34(1): 41-54.
5. Hickie I, Naismith S, Ward PB, et al. Reduced hippocampal volumes and memory loss in patients with early-And late-onset depression. Br J Psychiatry. 2005;186: 197-202.
6. MacQueen GM, Campbell S, McEwen B, et al. Course of illness, hippocampal function and volume in major depression. Biol Psychiatry. 2003;53(8): 31S-31S.
7. Sapolsky RM, Krey LC, McEwen BS. The neuroendocrinology of stress and aging: the glucocorticoid cascade hypothesis. Endocr Rev. 1986;7(3): 284-301.
8. Frodl T, Meisenzahl EM, Zetzsche T, et al. Hippocampal changes in patients with a first episode of major depression. Am J Psychiatry. 2002;159(7): 1112-1118.
9. MacMaster FP, Kusumakar V. Hippocampal volume in early onset depression. BMC Med. 2004;2: 2.
10. Baaré WF, Vinberg M, Knudsen GM, et al. Hippocampal volume changes in healthy subjects at risk of unipolar depression. J Psychiatr Res. 2010;44(10): 655-662.
11. Chen MC, Hamilton JP, Gotlib IH. Decreased hippocampal volume in healthy girls at risk of depression. Arch Gen Psychiatry. 2010;67(3): 270-276.
12. Goveas JS, Espeland MA, Hogan P, et al. Depressive symptoms, brain volumes and subclinical cerebrovascular disease in postmenopausal women: the Women's Health Initiative MRI Study. J Affect Disord. 2011;132(1-2): 275-284.
13. Geerlings MI, Sigurdsson S, Eiriksdottir G, et al. Associations of current and remitted major depressive disorder with brain atrophy: the AGES-Reykjavik Study. Psychol Med. 2013; 43(2): 317-328.
14. Dotson VM, Davatzikos C, Kraut MA, et al. Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study. J Psychiatry Neurosci. 2009;34(5): 367-375.
15. Geerlings MI, den Heijer T, Koudstaal PJ, et al. History of depression, depressive symptoms, and medial temporal lobe atrophy and the risk of Alzheimer disease. Neurology. 2008; 70(15): 1258-1264.
16. den Heijer T, Tiemeier H, Luijendijk HJ, et al. A study of the bidirectional association between hippocampal volume on magnetic resonance imaging and depression in the elderly. Biol Psychiatry. 2011;70(2): 191-197.
17. Gallo JJ, Lebowitz BD. The epidemiology of common late-life mental disorders in the community: themes for the new century. Psychiatr Serv. 1999;50(9): 1158-1166.
18. Beekman AT, Geerlings SW, Deeg DJ, et al. The natural history of late-life depression: a 6-year prospective study in the community. Arch Gen Psychiatry. 2002;59(7): 605-611.
19. Reynolds SL, Haley WE, Kozlenko N. The impact of depressive symptoms and chronic diseases on active life expectancy in older Americans. Am J Geriatr Psychiatry. 2008; 16(5): 425-432.
20. Beekman AT, Penninx BW, Deeg DJ, et al. The impact of depression on the well-being, disability and use of services in older adults: a longitudinal perspective. Acta Psychiatr Scand. 2002;105(1): 20-27.
21. Beekman AT. Neuropathological correlates of late-life depression. Expert Rev Neurother. 2011;11(7): 947-949.
22. Jack CR Jr, Petersen RC, Xu Y, et al. Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology. 2000;55(4): 484-489.
23. Kaup AR, Mirzakhanian H, Jeste DV, et al. A review of the brain structure correlates of successful cognitive aging. J Neuropsychiatry Clin Neurosci. 2011;23(1): 6-15.
24. Lister JP, Barnes CA. Neurobiological changes in the hippocampus during normative aging. Arch Neurol. 2009; 66(7): 829-833.
25. 3C Study Group. Vascular factors and risk of dementia: design of the Three-City Study and baseline characteristics of the study population. Neuroepidemiology. 2003;22(6): 316-325.
26. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psych Meas. 1977;1(3): 385-401.
27. Fuhrer R, Rouillon F. The French version of the CES-D scale (French). La version francaise de l'echelle CES-D. Psychiatr Psychobiol. 1989;4(3): 163-166.
28. Maillard P, Delcroix N, Crivello F, et al. An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases. Neuroradiology. 2008;50(1): 31-42.
29. Crivello F, Lemaître H, Dufouil C, et al. Effects of ApoE-epsilon4 allele load and age on the rates of grey matter and hippocampal volumes loss in a longitudinal cohort of 1186 healthy elderly persons. Neuroimage. 2010;53(3): 1064-1069.
30. Lemaître H, Crivello F, Grassiot B, et al. Age-And sex-related effects on the neuroanatomy of healthy elderly. Neuroimage. 2005;26(3): 900-911.
31. Good CD, Johnsrude IS, Ashburner J, et al. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001;14(1 Pt 1): 21-36.
32. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15(1): 273-289.
33. Collins DL, Zijdenbos AP, Kollokian V, et al. Design and construction of a realistic digital brain phantom. IEEE Trans Med Imaging. 1998;17(3): 463-468.
34. Raudenbush SW, Bryk AS. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks, CA: Sage Publications; 2002.
35. Waternaux C, Laird NM, Ware JH. Methods for analysis of longitudinal data: blood-lead concentrations and cognitive development. J Am Stat Assoc. 1989;84(405): 33-41.
36. Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19(6): 716-723.
37. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading cognitive state of patients for clinician. J Psychiatr Res. 1975;12(3): 189-198.
38. Glymour MM, Chêne G, Tzourio C, et al. Brain MRI markers and dropout in a longitudinal study of cognitive aging: the Three-City Dijon Study. Neurology. 2012;79(13): 1340-1348.
39. Glymour MM, Weuve J, Chen JT. Methodological challenges in causal research on racial and ethnic patterns of cognitive trajectories: measurement, selection, and bias. Neuropsychol Rev. 2008;18(3): 194-213.
40. Weuve J, Tchetgen Tchetgen EJ, Glymour MM, et al. Accounting for bias due to selective attrition: the example of smoking and cognitive decline. Epidemiology. 2012;23(1): 119-128.
41. Kenward MG, Molenberghs G. Likelihood based frequentist inference when data are missing at random. Stat Sci. 1998; 13(3): 236-247.
42. Cole SR, Hernán MA, Margolick JB, et al. Marginal structural models for estimating the effect of highly active antiretroviral therapy initiation on CD4 cell count. Am J Epidemiol. 2005; 162(5): 471-478.
43. Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5): 561-570.
44. Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168(6): 656-664.
45. Kronmüller KT, Schröder J, Köhler S, et al. Hippocampal volume in first episode and recurrent depression. Psychiatry Res. 2009;174(1): 62-66.
46. Lawrie SM, McIntosh AM, Hall J, et al. Brain structure and function changes during the development of schizophrenia: the evidence from studies of subjects at increased genetic risk. Schizophr Bull. 2008;34(2): 330-340.
47. Gilbertson MW, Shenton ME, Ciszewski A, et al. Smaller hippocampal volume predicts pathologic vulnerability to psychological trauma. Nat Neurosci. 2002;5(11): 1242-1247.
48. Gur RC, Gunning-Dixon FM, Turetsky BI, et al. Brain region and sex differences in age association with brain volume: a quantitative MRI study of healthy young adults. Am J Geriatr Psychiatry. 2002;10(1): 72-80.
49. Garcia-Segura LM, Azcoitia I, DonCarlos LL. Neuroprotection by estradiol. Prog Neurobiol. 2001;63(1): 29-60.
50. Melcangi RC, Panzica G, Garcia-Segura LM. Neuroactive steroids: focus on human brain. Neuroscience. 2011;191: 1-5.
51. Hajszan T, Milner TA, Leranth C. Sex steroids and the dentate gyrus. Prog Brain Res. 2007;163: 399-415.
52. Galea LA. Gonadal hormone modulation of neurogenesis in the dentate gyrus of adult male and female rodents. Brain Res Rev. 2008;57(2): 332-341.
53. Keers R, Aitchison KJ. Gender differences in antidepressant drug response. Int Rev Psychiatry. 2010;22(5): 485-500.
54. Rothman KJ, Gallacher JE, Hatch EE. Why representativeness should be avoided. Int J Epidemiol. 2013;42(4): 1012-1014.