4.7 Article

Major depressive disorder and white matter abnormalities: A diffusion tensor imaging study with tract-based spatial statistics

Journal

JOURNAL OF AFFECTIVE DISORDERS
Volume 120, Issue 1-3, Pages 240-244

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jad.2009.04.023

Keywords

Depression; MDD; Diffusion tensor imaging; White matter; TBSS

Funding

  1. Finnish Academy [211000]
  2. Instrumentarium Science Foundation
  3. Department of Psychiatry, HUCH
  4. Department of Radiology, HUCH
  5. Department of Mental Health and Alcohol Research
  6. National Public Health Institute, Helsinki

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Background: A few diffusion tensor imaging (DTI) studies have shown abnormalities in areas of white matter tracts involved in mood regulation in geriatric depressive patients, using a region-of-interest technique. A voxel-based morphometry DTI study of young depressive patients reported similar results. In this study, we explored the structure of the white matter of the whole brain with DTI in middle-aged major depressive disorder (MDD) patients, using novel tract-based spatial statistics. Methods: Sixteen MDD patients and 20 controls underwent DTI. An automated tract-based spatial method (TBSS) was used to analyze the scans. Results: Compared with controls, the MDD patients showed a trend for lower values of fractional anisotropy (FA) in the left sagittal stratum, and suggestive decreased FA in the right cingulate cortex and posterior body of corpus callosum. Regressing out the duration and severity of disorder in the model did not change the finding in the sagittal stratum, but dissipated the decrease of FA in latter regions. Limitations: Possibly by reason of a relatively small study sample for a TBSS, the results are suggestive, and should be replicated in further studies. Conclusions: A novel observer-independent DTI method showed decreased FA in the middle-aged MDD patients in white matter regions that have previously connected to the emotional regulation. Lower FA might imply underlying structural abnormalities that contribute to the dysfunction detected in the limbic-cortical network of depressive patients. (C) 2009 Elsevier B.V. All rights reserved.

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