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

International Psychogeriatrics

Volumn 24, Issue 4, 2012, Pages 524-531

  Allan, Charlotte L ^a   Sexton, Claire E ^a   Kalu, Ukwuori G ^a   McDermott, Lisa M ^b   Kivimäki, Mika ^c   Singh Manoux, Archana ^c,d   MacKay, Clare E ^a   Ebmeier, Klaus P ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d CENTRE FOR RESEARCH IN EPIDEMIOLOGY AND POPULATION HEALTH   (France)

Author keywords

imaging; mood disorder; neuroimaging

Indexed keywords

AGED; ARTICLE; CARDIOVASCULAR RISK; CLINICAL ARTICLE; CONTROLLED STUDY; CORPUS CALLOSUM; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; FRAMINGHAM RISK SCORE; FRAMINGHAM STROKE RISK PROFILE; GERIATRIC PATIENT; HUMAN; IMAGE ANALYSIS; MAJOR DEPRESSION; MALE; PYRAMIDAL TRACT; WHITE MATTER;

AGED; ALGORITHMS; BRAIN; CASE-CONTROL STUDIES; CORPUS CALLOSUM; DEPRESSION; FEMALE; HUMANS; INTERVIEW, PSYCHOLOGICAL; MAGNETIC RESONANCE IMAGING; MALE; NEUROIMAGING; NEUROPSYCHOLOGICAL TESTS; PSYCHIATRIC STATUS RATING SCALES; RISK ASSESSMENT; STROKE;

EID: 84859022593     PISSN: 10416102     EISSN: 1741203X     Source Type: Journal    
DOI: 10.1017/S1041610211002183     Document Type: Article

References (44)

1. Alexopoulos, G. S., Meyers, B. S., Young, R. C., Campbell, S., Silbersweig, D. and Charlson, M. (1997). "Vascular depression" hypothesis. Archives of General Psychiatry, 54, 915-922.
2. American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders, DSM-IV. Washington, DC: American Psychiatric Association.
3. Andersson, J. L. R., Jenkinson, M. and Smith, S. (2007a). Non-linear optimisation. FMRIB Technical Report TR07JA1. Available at: www.fmrib.ox.ac.uk/ analysis/techrep .
4. Andersson, J. L. R., Jenkinson, M. and Smith, S. (2007b). Non-linear registration, aka Spatial normalisation. FMRIB Technical Report TR07JA2 Available at: www.fmrib.ox.ac.uk/analysis/techrep .
5. Buckner, R. L. (2004). Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron, 44, 195-208.
6. Chen, C. S., Chen, C. C., Kuo, Y. T., Chiang, I. C., Ko, C. H. and Lin, H. F. (2006). Carotid intima-media thickness in late-onset major depressive disorder. International Journal of Geriatric Psychiatry, 21, 36-42.
7. Christensen, K., Doblhammer, G., Rau, R. and Vaupel, J. W. (2009). Ageing populations: the challenges ahead. Lancet, 374, 1196-1208.
8. Crimmins, E. (2004). Trends in the health of the elderly. Annual Review of Public Health, 25, 79-98.
9. D'Agostino, R. B., Wolf, P. A., Belanger, A. J. and Kannel, W. B. (1994). Stroke risk profile: adjustment for antihypertensive medication: the Framingham Study. Stroke, 25, 40-43.
10. D'Agostino, R. B. et al. (2008). General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation, 117, 743-753.
11. Dalby, R. B. et al. (2010). Localization of white-matter lesions and effect of vascular risk factors in late-onset major depression. Psychological Medicine, 40, 1389-1399.
12. Dotson, V.M., Davatzikos, C., Kraut, M. A. and Resnick, S. M. (2009). Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study. Journal of Psychiatry and Neuroscience, 34, 367-375.
13. First, M. B., Spitzer, R. L., Gibbon, M. and Williams, J. B. W. (2007). Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-Patient Edition. New York: Biometrics Research, New York State Psychiatric Institute.
14. Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). "Mini-mental state": a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189-198.
15. Hajjar, I. et al. (2011). Hypertension, white matter hyperintensities, and concurrent impairments in mobility, cognition, and mood: the cardiovascular health study. Circulation, 123, 858-865.
16. Hamilton, M. (1967). Development of a rating scale for primary depressive illness. British Journal Social and Clinical Psychology, 6, 278-296.
17. Herrmann, L. L., Goodwin, G. M. and Ebmeier, K. P. (2007). The cognitive neuropsychology of depression in the elderly. Psychological Medicine, 37, 1693-1702.
18. Herrmann, L., Le Masurier, M. and Ebmeier, K. (2008). White matter hyperintensities in late life depression: A systematic review. Journal of Neurology Neurosurgery and Psychiatry, 79, 619-624.
19. Hoptman, M. J. et al. (2009). Blood pressure and white matter integrity in geriatric depression. Journal of Affective Disorders, 115, 171-176.
20. Jeerakathil, T. et al. (2004). Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study. Stroke, 35, 1857-1861.
21. Jones, D. K. (2004). The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study. Magnetic Resonance in Medicine, 51, 807-815.
22. McGurn, B. et al. (2004). Pronunciation of irregular words is preserved in dementia, validating premorbid IQ estimation. Neurology, 62, 1184-1186.
23. McKinnon, M. C., Yucel, K., Nazarov, A. and MacQueen, G. M. (2009). A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. Journal of Psychiatry and Neuroscience, 34, 41-54.
24. Mioshi, E., Dawson, K., Mitchell, J., Arnold, R. and Hodges, J. R. (2006). The Addenbrooke's Cognitive Examination revised (ACE-R): a brief cognitive test battery for dementia screening. International Journal of Geriatric Psychiatry, 21, 1078-1085.
25. Nichols, T. E. and Holmes, A. P. (2002). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping, 15, 1-25.
26. Office for National Statistics (2008). National Population Projections, 2008. based from downloads/theme-population/pp2no27.pdf (27 ed.
27. Park, D. C. and Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173-196.
28. Roman, G. C. (1996). From UBOs to Binswanger's disease: impact of magnetic resonance imaging on vascular dementia research. Stroke, 27, 1269-1273.
29. Sexton, C. E., Mackay, C. E. and Ebmeier, K. P. (2009). A systematic review of diffusion tensor imaging studies in affective disorders. Biological Psychiatry, 66, 814-823.
30. Sexton, C. A. et al. (in press). Magnetic resonance imaging in late-life depression: multi-modal examination of network disruption. Archives of General Psychiatry.
31. Sheline, Y. I. et al. (2008). Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. American Journal of Psychiatry, 165, 524-532.
32. Sheline, Y. I. et al. (2010). Support for the vascular depression hypothesis in late-life depression: results of a2-site, prospective, antidepressant treatment trial. Archives of General Psychiatry, 67, 277-285.
33. Shimony, J. S. et al. (2009). Diffuse microstructural abnormalities of normal-appearing white matter in late life depression: a diffusion tensor imaging study. Biological Psychiatry, 66, 245-252.
34. Smith, P. J. et al. (2009). Intima-media thickness and age of first depressive episode. Biological Psychology, 80, 361-364.
35. Smith, P. J. et al. (2010). Cerebrovascular risk factors and cerebral hyperintensities among middle-aged and older adults with major depression. American Journal of Geriatric Psychiatry, 18, 848-852.
36. Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17, 143-155.
37. Smith, S. M. et al. (2004). AdVances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23 (Suppl. 1), S208-S219.
38. Smith, S. M. et al. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, 31, 1487-1505.
39. Smith, S. M. and Nichols, T. E. (2009). Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44, 83-98.
40. Thomas, A. J. et al. (2002). Ischemic basis for deep white matter hyperintensities in major depression: a neuropathological study. Archives of General Psychiatry, 59, 785-792.
41. Thomas, A. J., Perry, R., Kalaria, R. N., Oakley, A., McMeekin, W. and O'Brien, J. T. (2003). Neuropathological evidence for ischemia in the white matter of the dorsolateral prefrontal cortex in late-life depression. International Journal of Geriatric Psychiatry, 18, 7-13.
42. Thomas, A. J., Kalaria, R. N. and O'Brien, J. T. (2004). Depression and vascular disease: what is the relationship? Journal of Affective Disorders, 79, 81-95.
43. Wilson, P. W., D'Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H. and Kannel, W. B. (1998). Prediction of coronary heart disease using risk factor categories. Circulation, 97, 1837-1847.
44. Yesavage, J. A. et al. (1982). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research, 17, 37-49.