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DTI voxelwise analysis did not differentiate older depressed patients from older subjects without depression.

Authors :
Bezerra DM
Pereira FR
Cendes F
Jackowski MP
Nakano EY
Moscoso MA
Ribeiz SR
Avila R
Castro CC
Bottino CM
Source :
Journal of psychiatric research [J Psychiatr Res] 2012 Dec; Vol. 46 (12), pp. 1643-9. Date of Electronic Publication: 2012 Oct 04.
Publication Year :
2012

Abstract

Introduction: Neuroimaging has been widely used in studies to investigate depression in the elderly because it is a noninvasive technique, and it allows the detection of structural and functional brain alterations. Fractional anisotropy (FA) and mean diffusivity (MD) are neuroimaging indexes of the microstructural integrity of white matter, which are measured using diffusion tensor imaging (DTI). The aim of this study was to investigate differences in FA or MD in the entire brain without a previously determined region of interest (ROI) between depressed and non-depressed elderly patients.<br />Method: Brain magnetic resonance imaging scans were obtained from 47 depressed elderly patients, diagnosed according to DSM-IV criteria, and 36 healthy elderly patients as controls. Voxelwise statistical analysis of FA data was performed using tract-based spatial statistics (TBSS).<br />Results: After controlling for age, no significant differences among FA and MD parameters were observed in the depressed elderly patients. No significant correlations were found between cognitive performance and FA or MD parameters.<br />Conclusion: There were no significant differences among FA or MD values between mildly or moderately depressed and non-depressed elderly patients when the brain was analyzed without a previously determined ROI.<br /> (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-1379
Volume :
46
Issue :
12
Database :
MEDLINE
Journal :
Journal of psychiatric research
Publication Type :
Academic Journal
Accession number :
23040088
Full Text :
https://doi.org/10.1016/j.jpsychires.2012.09.001