OBJECTIVES: To compare the frequency/severity of signal hyperintensities--likely markers of cerebrovascular disease--in the subcortical gray and deep white matter on magnetic resonance imaging (MRI) scans of brains of hypertensive and normotensive older depressed and nondepressed comparison subjects. DESIGN: Between-groups comparison of cross-sectional MRI data employing analyses of covariance controlling for the effects of age, gender, and height. SETTING: A comprehensive inpatient-outpatient geriatric psychiatry service in a university hospital. PARTICIPANTS: Nondemented older depressed (n = 81) and nondepressed comparison (n = 70) subjects divided into four groups (hypertensive depressed (n = 40), hypertensive normals (n = 21), normotensive depressed (n = 41), normotensive normals (n = 49)). MEASUREMENTS: Signal hyperintensities were rated on T-2 weighted MRI scans blind to patient diagnoses employing two standardized hyperintensity rating systems (Fazekas, Boyko). RESULTS: Hypertensive depressives had significantly more- severe hyperintensity ratings in both subcortical gray and deep white matter than did normotensive depressives and controls (P < .05) and significantly more-severe hyperintensity ratings only in subcortical gray matter (P < .05) than did hypertensive controls. Hypertensive controls had significantly more-severe ratings in deep white matter than either normotensive group (P < .05). CONCLUSIONS: Findings suggest a relationship between deep white matter hyperintensities and hypertension (regardless of depressive state), and a particular role of subcortical gray matter hyperintensities (possibly interacting with more-severe deep white matter lesions) in older depressed hypertensives, as compared with older depressed normotensives of similar ages and severity of depression. These data support possible heterogeneous pathogenic contributions in late-life depression subgroups, one of which appears to be influenced by cerebrovascular disease.
OBJECTIVES: To compare the frequency/severity of signal hyperintensities--likely markers of cerebrovascular disease--in the subcortical gray and deep white matter on magnetic resonance imaging (MRI) scans of brains of hypertensive and normotensive older depressed and nondepressed comparison subjects. DESIGN: Between-groups comparison of cross-sectional MRI data employing analyses of covariance controlling for the effects of age, gender, and height. SETTING: A comprehensive inpatient-outpatient geriatric psychiatry service in a university hospital. PARTICIPANTS: Nondemented older depressed (n = 81) and nondepressed comparison (n = 70) subjects divided into four groups (hypertensive depressed (n = 40), hypertensive normals (n = 21), normotensive depressed (n = 41), normotensive normals (n = 49)). MEASUREMENTS: Signal hyperintensities were rated on T-2 weighted MRI scans blind to patient diagnoses employing two standardized hyperintensity rating systems (Fazekas, Boyko). RESULTS:Hypertensive depressives had significantly more- severe hyperintensity ratings in both subcortical gray and deep white matter than did normotensive depressives and controls (P < .05) and significantly more-severe hyperintensity ratings only in subcortical gray matter (P < .05) than did hypertensive controls. Hypertensive controls had significantly more-severe ratings in deep white matter than either normotensive group (P < .05). CONCLUSIONS: Findings suggest a relationship between deep white matter hyperintensities and hypertension (regardless of depressive state), and a particular role of subcortical gray matter hyperintensities (possibly interacting with more-severe deep white matter lesions) in older depressed hypertensives, as compared with older depressed normotensives of similar ages and severity of depression. These data support possible heterogeneous pathogenic contributions in late-life depression subgroups, one of which appears to be influenced by cerebrovascular disease.
Authors: Heidi I L Jacobs; Elizabeth C Leritz; Victoria J Williams; Martin P J Van Boxtel; Wim van der Elst; Jelle Jolles; Frans R J Verhey; Regina E McGlinchey; William P Milberg; David H Salat Journal: Hum Brain Mapp Date: 2011-09-23 Impact factor: 5.038
Authors: Luis García-Fabela; Efrén Melano-Carranza; Sara Aguilar-Navarro; Juan Miguel Antonio García-Lara; Luis Miguel Gutiérrez-Robledo; José Alberto Avila-Funes Journal: Rev Invest Clin Date: 2009 Jul-Aug Impact factor: 1.451
Authors: Robert H Paul; John Gunstad; Athena Poppas; David F Tate; Dan Foreman; Adam M Brickman; Angela L Jefferson; Karin Hoth; Ronald A Cohen Journal: Cerebrovasc Dis Date: 2005-07-05 Impact factor: 2.762
Authors: Tufail F Patankar; Dipayan Mitra; Anoop Varma; Julie Snowden; David Neary; Alan Jackson Journal: AJNR Am J Neuroradiol Date: 2005 Jun-Jul Impact factor: 3.825
Authors: S Artero; H Tiemeier; N D Prins; R Sabatier; M M B Breteler; K Ritchie Journal: J Neurol Neurosurg Psychiatry Date: 2004-09 Impact factor: 10.154
Authors: Helen Lavretsky; Ling Zheng; Michael W Weiner; Dan Mungas; Bruce Reed; Joel H Kramer; William Jagust; Helena Chui; Wendy J Mack Journal: Int J Geriatr Psychiatry Date: 2008-10 Impact factor: 3.485
Authors: Marion Mortamais; Florence Portet; Adam M Brickman; Frank A Provenzano; Jordan Muraskin; Tasnime N Akbaraly; Claudine Berr; Jacques Touchon; Alain Bonafé; Emmanuelle le Bars; Nicolas Menjot de Champfleur; Jerome J Maller; Chantal Meslin; Robert Sabatier; Karen Ritchie; Sylvaine Artero Journal: Am J Geriatr Psychiatry Date: 2013-09-08 Impact factor: 4.105
Authors: Charlotte L Allan; Enikõ Zsoldos; Nicola Filippini; Claire E Sexton; Anya Topiwala; Vyara Valkanova; Archana Singh-Manoux; Adam G Tabák; Martin J Shipley; Clare Mackay; Klaus P Ebmeier; Mika Kivimäki Journal: Br J Psychiatry Date: 2014-12-11 Impact factor: 9.319