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    Allan, Charlotte L. Sexton, Claire E. Filippini, Nicola Topiwala, Anya Mahmood, Abda Zsoldos, Enikő Singh-Manoux, Archana Shipley, Martin J. Kivimaki, Mika Mackay, Clare E. and Ebmeier, Klaus P. 2016. Sub-threshold depressive symptoms and brain structure: A magnetic resonance imaging study within the Whitehall II cohort. Journal of Affective Disorders, Vol. 204, p. 219.


    Foguet-Boreu, Quintí Fernandez San Martin, Maria Isabel Flores Mateo, Gemma Zabaleta del Olmo, Edurne Ayerbe García-Morzon, Luís Perez-Piñar López, Maria Martin-López, Luis Miguel Montes Hidalgo, Javier and Violán, Concepción 2016. Cardiovascular risk assessment in patients with a severe mental illness: a systematic review and meta-analysis. BMC Psychiatry, Vol. 16, Issue. 1,


    Zsoldos, E. and Ebmeier, K.P. 2016. Stress: Concepts, Cognition, Emotion, and Behavior.


    Charlton, Rebecca A. Lamar, Melissa Ajilore, Olusola and Kumar, Anand 2014. Associations Between Vascular Risk and Mood in Euthymic Older Adults: Preliminary Findings. The American Journal of Geriatric Psychiatry, Vol. 22, Issue. 9, p. 936.


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Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?

  • Charlotte L. Allan (a1), Claire E. Sexton (a1), Ukwuori G. Kalu (a1), Lisa M. McDermott (a2), Mika Kivimäki (a3), Archana Singh-Manoux (a3) (a4), Clare E. Mackay (a1) and Klaus P. Ebmeier (a1)
  • DOI: http://dx.doi.org/10.1017/S1041610211002183
  • Published online: 17 November 2011
Abstract
ABSTRACT

Background: Cardiovascular risk factors and diseases are important etiological factors in depression, particularly late-life depression. Brain changes associated with vascular disease and depression can be detected using magnetic resonance imaging. Using diffusion tensor imaging (DTI), we investigated whether the Framingham Stroke Risk Profile (FSRP), a well-validated risk prediction algorithm, is associated with changes in white-matter connectivity. We hypothesized that depressed participants would show reduced white-matter integrity with higher FSRP, and non-depressed controls (matched for mean vascular risk) would show minimal co-variance with white-matter changes.

Methods: Thirty-six participants with major depression (age 71.8 ± 7.7 years, mean FSRP 10.3 ± 7.6) and 25 controls (age 71.8 ± 7.3 years, mean FSRP 10.1 ± 7.7) were clinically interviewed and examined, followed by 60-direction DTI on a 3.0 Tesla scanner. Image analysis was performed using FSL tools (www.fmrib.ox.ac.uk/fsl) to assess the correlation between FSRP and fractional anisotropy (FA). Voxelwise statistical analysis of the FA data was carried out using Tract Based Spatial Statistics. The significance threshold for correlations was set at p < 0.05 using threshold-free cluster-enhancement. Partial correlation analysis investigated significant correlations in each group.

Results: Participants in the depressed group showed highly significant correlations between FSRP and FA within the body of corpus callosum (r = −0.520, p = 0.002), genu of corpus callosum (r = −0.468, p = 0.005), splenium of corpus callosum (r = −0.536, p = 0.001), and cortico-spinal tract (r = −0.473, p = 0.005). In controls, there was only one significant correlation in the body of corpus callosum (r = −0.473, p = 0.023).

Conclusions: FSRP is associated with impairment in white-matter integrity in participants with depression; these results suggest support for the vascular depression hypothesis.

Copyright
Corresponding author
Correspondence should be addressed to: Dr Charlotte Allan, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK. Phone: +44 (0)1865 223635; Fax. +44 (0)1865 793101. Email. Charlotte.allan@psych.ox.ac.uk.
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International Psychogeriatrics
  • ISSN: 1041-6102
  • EISSN: 1741-203X
  • URL: /core/journals/international-psychogeriatrics
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