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Sub-threshold depressive symptoms and brain structure: A magnetic resonance imaging study within the Whitehall II cohort

Abstract:
Background. Late-life sub-threshold depressive symptoms (i.e. depressive symptoms that do not meet the criteria for a diagnosis of major depressive disorder) are associated with impaired physical health and function, and increased risk of major depressive disorder. Magnetic resonance imaging (MRI) studies examining late-life major depressive disorder find structural brain changes in grey and white matter. However, the extent to which late-life sub-threshold depression is associated with similar hallmarks is not well established.
Methods. Participants with no history of major depressive disorder were selected from the Whitehall Imaging Sub-Study (n=358, mean age 69±5 years, 17% female). Depressive symptoms were measured using the Centre for Epidemiological Studies Depression Scale (CESD) at three previous Whitehall II Study phases (2003-04, 2007-09 and 2012-13) and at the time of the MRI scan (2012- 14). The relationships between current and cumulative depressive symptoms and MRI brain measures were explored using Voxel-Based Morphometry (VBM) for grey matter and Tract Based Spatial Statistics (TBSS) for white matter.
Results. Current sub-threshold depressive symptoms were associated with significant reductions in fractional anisotropy and increases in axial and radial diffusivity. There were no significant relationships between current depressive symptoms and grey matter measures, or cumulative depressive symptoms and MRI measures.
Limitations. The prevalence (10%) of sub-threshold depressive symptoms means that analyses may be underpowered to detect subtle differences in brain structure.
Conclusions. Current sub-threshold depressive symptoms are associated with changes in white matter microstructure, indicating that even mild depressive symptoms are associated with similar MRI hallmarks to those in major depressive disorder.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jad.2016.06.049

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author


More from this funder
Funding agency for:
Ebmeier, K
Grant:
SC008962
More from this funder
Funding agency for:
Ebmeier, K
Grant:
SC008962
SC008962
More from this funder
Funding agency for:
Kivimaki, M
Grant:
R01HL036310; R01AG034454
More from this funder
Funding agency for:
Kivimaki, M
Ebmeier, K
Grant:
R01HL036310; R01AG034454
SC008962
G1001354


Publisher:
Elsevier
Journal:
Journal of Affective Disorders More from this journal
Volume:
204
Pages:
219-225
Publication date:
2016-06-21
Acceptance date:
2016-06-13
DOI:
EISSN:
1573-2517
ISSN:
0165-0327


Keywords:
Pubs id:
pubs:627710
UUID:
uuid:108456d5-9deb-437d-8fc9-c55094e6a5f1
Local pid:
pubs:627710
Source identifiers:
627710
Deposit date:
2016-06-13
ARK identifier:

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