Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/348165
Type: Artigo
Title: DTI voxelwise analysis did not differentiate older depressed patients from older subjects without depression
Author: Bezerra, Diana Moitinho
Pereira, Fabricio R. S.
Cendes, Fernando
Jackowski, Marcel Parolin
Nakano, Eduardo Y.
Moscoso, Marco A. A.
Ribeiz, Salma R. I.
Avila, Renata
de Castro, Claudio Campi
Bottino, Cassio M. C.
Abstract: 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. 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). 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. 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
Subject: Transtorno depressivo
Anisotropia
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.jpsychires.2012.09.001
Address: https://www.sciencedirect.com/science/article/pii/S0022395612002713
Date Issue: 2012
Appears in Collections:FCM - Artigos e Outros Documentos

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