Cortical Thickness and Depressive Symptoms in Cognitively Normal Individuals: The Mayo Clinic Study of Aging

. 2017 ; 58 (4) : 1273-1281.

Jazyk angličtina Země Spojené státy americké Médium print

Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural

Perzistentní odkaz   https://www.medvik.cz/link/pmid28550256

Grantová podpora
K01 MH068351 NIMH NIH HHS - United States
R01 AG041851 NIA NIH HHS - United States
R01 AG034676 NIA NIH HHS - United States
U01 AG024904 NIA NIH HHS - United States
R01 AG011378 NIA NIH HHS - United States
R01 AG037551 NIA NIH HHS - United States
R01 AG043392 NIA NIH HHS - United States
K01 AG028573 NIA NIH HHS - United States
U01 AG006786 NIA NIH HHS - United States

Altered cortical thickness has been observed in aging and various neurodegenerative disorders. Furthermore, reduced hippocampal volume has been reported in late-life depression. Even mild depressive symptoms are common in the elderly. However, little is known about the structural MRI measures of depressive symptoms in normal cognitive aging. Thus we sought to examine the association between depressive symptoms with cortical thickness and hippocampal volume as measured by brain MRI among community-dwelling participants. We conducted a cross-sectional study derived from the ongoing population-based Mayo Clinic Study of Aging, involving cognitively normal participants (N = 1,507) aged≥70 years. We observed that depressive symptoms were associated with lower global cortical thickness and lower thickness in specific prefrontal and temporal cortical regions, labeled by FreeSurfer software, version 5.3. As expected, the strength of correlation was very small, given that participants were community-dwelling with only mild depressive symptoms. We did not observe associations between hippocampal volume and depressive symptoms. These findings may provide insight into the structural correlates of mild depressive symptoms in elderly participants.

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Geda YE, Roberts RO, Knopman DS, Petersen RC, Christianson TJ, Pankratz VS, Smith GE, Boeve BF, Ivnik RJ, Tangalos EG, Rocca WA. Prevalence of neuropsychiatric symptoms in mild cognitive impairment and normal cognitive aging: population-based study. Arch Gen Psychiatry. 2008;65:1193–1198. PubMed PMC

Blazer D, Williams CD. Epidemiology of dysphoria and depression in an elderly population. Am J Psychiatry. 1980;137:439–444. PubMed

Meeks TW, Vahia IV, Lavretsky H, Kulkarni G, Jeste DV. A tune in “a minor” can “b major”: a review of epidemiology, illness course, and public health implications of subthreshold depression in older adults. J Affect Disord. 2011;129:126–142. PubMed PMC

Mulsant BH, Ganguli M. Epidemiology and diagnosis of depression in late life. J Clin Psychiatry. 1999;60(Suppl 20):9–15. PubMed

Geda YE, Roberts RO, Mielke MM, Knopman DS, Christianson TJ, Pankratz VS, Boeve BF, Sochor O, Tangalos EG, Petersen RC, Rocca WA. Baseline neuropsychiatric symptoms and the risk of incident mild cognitive impairment: a population-based study. Am J Psychiatry. 2014;171:572–581. PubMed PMC

Pink A, Stokin GB, Bartley MM, Roberts RO, Sochor O, Machulda MM, Krell-Roesch J, Knopman DS, Acosta JI, Christianson TJ, Pankratz VS, Mielke MM, Petersen RC, Geda YE. Neuropsychiatric symptoms, APOE epsilon4, and the risk of incident dementia: a population-based study. Neurology. 2015;84:935–943. PubMed PMC

Lyness JM, Heo M, Datto CJ, Ten Have TR, Katz IR, Drayer R, Reynolds CF, 3rd, Alexopoulos GS, Bruce ML. Outcomes of minor and subsyndromal depression among elderly patients in primary care settings. Ann Intern Med. 2006;144:496–504. PubMed

Chachamovich E, Fleck M, Laidlaw K, Power M. Impact of major depression and subsyndromal symptoms on quality of life and attitudes toward aging in an international sample of older adults. Gerontologist. 2008;48:593–602. PubMed

Pickett YR, Ghosh S, Rohs A, Kennedy GJ, Bruce ML, Lyness JM. Healthcare use among older primary care patients with minor depression. Am J Geriatr Psychiatry. 2014;22:207–210. PubMed PMC

Laborde-Lahoz P, El-Gabalawy R, Kinley J, Kirwin PD, Sareen J, Pietrzak RH. Subsyndromal depression among older adults in the USA: prevalence, comorbidity, and risk for new-onset psychiatric disorders in late life. Int J Geriatr Psychiatry. 2015;30:677–685. PubMed

Ludvigsson M, Milberg A, Marcusson J, Wressle E. Normal Aging or Depression? A Qualitative Study on the Differences Between Subsyndromal Depression and Depression in Very Old People. Gerontologist. 2015;55:760–769. PubMed

Donovan NJ, Hsu DC, Dagley AS, Schultz AP, Amariglio RE, Mormino EC, Okereke OI, Rentz DM, Johnson KA, Sperling RA, Marshall GA. Depressive Symptoms and Biomarkers of Alzheimer’s Disease in Cognitively Normal Older Adults. Journal of Alzheimer’s disease: JAD. 2015;46:63–73. PubMed PMC

Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000;97:11050–11055. PubMed PMC

Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, Busa E, Morris JC, Dale AM, Fischl B. Thinning of the cerebral cortex in aging. Cereb Cortex. 2004;14:721–730. PubMed

Singh V, Chertkow H, Lerch JP, Evans AC, Dorr AE, Kabani NJ. Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer’s disease. Brain. 2006;129:2885–2893. PubMed

Grieve SM, Korgaonkar MS, Koslow SH, Gordon E, Williams LM. Widespread reductions in gray matter volume in depression. NeuroImage Clinical. 2013;3:332–339. PubMed PMC

Peng D, Shi F, Li G, Fralick D, Shen T, Qiu M, Liu J, Jiang K, Shen D, Fang Y. Surface vulnerability of cerebral cortex to major depressive disorder. PLoS One. 2015;10:e0120704. PubMed PMC

Tu PC, Chen LF, Hsieh JC, Bai YM, Li CT, Su TP. Regional cortical thinning in patients with major depressive disorder: A surface-based morphometry study. Psychiatry Research-Neuroimaging. 2012;202:206–213. PubMed

Mackin RS, Tosun D, Mueller SG, Lee JY, Insel P, Schuff N, Truran-Sacrey D, Arean P, Nelson JC, Weiner MW. Patterns of reduced cortical thickness in late-life depression and relationship to psychotherapeutic response. Am J Geriatr Psychiatry. 2013;21:794–802. PubMed PMC

Sheline YI. Hippocampal atrophy in major depression: a result of depression-induced neurotoxicity? Mol Psychiatry. 1996;1:298–299. PubMed

Brown ES, Hughes CW, McColl R, Peshock R, King KS, Rush AJ. Association of depressive symptoms with hippocampal volume in 1936 adults. Neuropsychopharmacology. 2014;39:770–779. PubMed PMC

Roberts RO, Geda YE, Knopman DS, Cha RH, Pankratz VS, Boeve BF, Ivnik RJ, Tangalos EG, Petersen RC, Rocca WA. The Mayo Clinic Study of Aging: design and sampling, participation, baseline measures and sample characteristics. Neuroepidemiology. 2008;30:58–69. PubMed PMC

Beck AT, Steer RA, Brown GK. BDI-II, Beck Depression Inventory: Manual. Psychological Corp; Harcourt Brace, San Antonio, TX; Boston, MA: 1996.

Jack CR, Jr, Bernstein MA, Borowski BJ, Gunter JL, Fox NC, Thompson PM, Schuff N, Krueger G, Killiany RJ, Decarli CS, Dale AM, Carmichael OW, Tosun D, Weiner MW. Update on the magnetic resonance imaging core of the Alzheimer’s disease neuroimaging initiative. Alzheimer’s & dementia: the journal of the Alzheimer’s Association. 2010;6:212–220. PubMed PMC

Jack CR, Jr, Lowe VJ, Senjem ML, Weigand SD, Kemp BJ, Shiung MM, Knopman DS, Boeve BF, Klunk WE, Mathis CA, Petersen RC. 11C PiB and structural MRI provide complementary information in imaging of Alzheimer’s disease and amnestic mild cognitive impairment. Brain. 2008;131:665–680. PubMed PMC

Gunter JL, Bernstein MA, Borowski BJ, Ward CP, Britson PJ, Felmlee JP, Schuff N, Weiner M, Jack CR. Measurement of MRI scanner performance with the ADNI phantom. Med Phys. 2009;36:2193–2205. PubMed PMC

Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33:341–355. PubMed

Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383. PubMed

Sexton CE, Mackay CE, Ebmeier KP. A systematic review and meta-analysis of magnetic resonance imaging studies in late-life depression. Am J Geriatr Psychiatry. 2013;21:184–195. PubMed

Koolschijn PC, van Haren NE, Lensvelt-Mulders GJ, Hulshoff Pol HE, Kahn RS. Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp. 2009;30:3719–3735. PubMed PMC

Dotson VM, Davatzikos C, Kraut MA, Resnick SM. Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study. Journal of psychiatry & neuroscience: JPN. 2009;34:367–375. PubMed PMC

Taki Y, Kinomura S, Awata S, Inoue K, Sato K, Ito H, Goto R, Uchida S, Tsuji I, Arai H, Kawashima R, Fukuda H. Male elderly subthreshold depression patients have smaller volume of medial part of prefrontal cortex and precentral gyrus compared with age-matched normal subjects: a voxel-based morphometry. J Affect Disord. 2005;88:313–320. PubMed

Colloby SJ, Firbank MJ, Vasudev A, Parry SW, Thomas AJ, O’Brien JT. Cortical thickness and VBM-DARTEL in late-life depression. J Affect Disord. 2011;133:158–164. PubMed

Lim HK, Jung WS, Ahn KJ, Won WY, Hahn C, Lee SY, Kim I, Lee CU. Regional cortical thickness and subcortical volume changes are associated with cognitive impairments in the drug-naive patients with late-onset depression. Neuropsychopharmacology. 2012;37:838–849. PubMed PMC

Campbell S, Marriott M, Nahmias C, MacQueen GM. Lower hippocampal volume in patients suffering from depression: a meta-analysis. Am J Psychiatry. 2004;161:598–607. PubMed

Ismail Z, Smith EE, Geda Y, Sultzer D, Brodaty H, Smith G, Aguera-Ortiz L, Sweet R, Miller D, Lyketsos CG. Neuropsychiatric symptoms as early manifestations of emergent dementia: Provisional diagnostic criteria for mild behavioral impairment. Alzheimer’s & dementia: the journal of the Alzheimer’s Association 2015 PubMed PMC

Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990;1:43–46. PubMed

Patel CJ, Ioannidis JP. Placing epidemiological results in the context of multiplicity and typical correlations of exposures. J Epidemiol Community Health. 2014;68:1096–1100. PubMed PMC

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