Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?
Authors: Allan, C.L., Sexton, C.E., Kalu, U.G., McDermott, L.M., Kivimäki, M., Singh-Manoux, A., MacKay, C.E., Ebmeier, K.P.
Journal: International Psychogeriatrics
Publication Date: 01/01/2012
Volume: 24
Issue: 4
Pages: 524-531
eISSN: 1741-203X
ISSN: 1041-6102
DOI: 10.1017/S1041610211002183
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. © 2011 International Psychogeriatric Association.
Source: Scopus
Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?
Authors: Allan, C.L., Sexton, C.E., Kalu, U.G., McDermott, L.M., Kivimäki, M., Singh-Manoux, A., Mackay, C.E., Ebmeier, K.P.
Journal: Int Psychogeriatr
Publication Date: 04/2012
Volume: 24
Issue: 4
Pages: 524-531
eISSN: 1741-203X
DOI: 10.1017/S1041610211002183
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.
Source: PubMed
Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?
Authors: Allan, C.L., Sexton, C.E., Kalu, U.G., McDermott, L.M., Kivimaeki, M., Singh-Manoux, A., Mackay, C.E., Ebmeier, K.P.
Journal: INTERNATIONAL PSYCHOGERIATRICS
Publication Date: 04/2012
Volume: 24
Issue: 4
Pages: 524-531
eISSN: 1741-203X
ISSN: 1041-6102
DOI: 10.1017/S1041610211002183
Source: Web of Science
Does the Framingham Stroke Risk Profile predict white-matter changes in late-life depression?
Authors: Allan, C.L., Sexton, C.E., Kalu, U.G., McDermott, L.M., Kivimäki, M., Singh-Manoux, A., Mackay, C.E., Ebmeier, K.P.
Journal: International psychogeriatrics
Publication Date: 04/2012
Volume: 24
Issue: 4
Pages: 524-531
eISSN: 1741-203X
ISSN: 1041-6102
DOI: 10.1017/s1041610211002183
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.Source: Europe PubMed Central