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Impaired integrity of the brain parenchyma in non-geriatric patients with major depressive disorder revealed by diffusion tensor imaging

Overview of attention for article published in Psychiatry Research: Neuroimaging, November 2012
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Article details
Title
Impaired integrity of the brain parenchyma in non-geriatric patients with major depressive disorder revealed by diffusion tensor imaging
Published in
Psychiatry Research: Neuroimaging, November 2012
DOI 10.1016/j.pscychresns.2012.07.004
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Abstract

Diffusion tensor imaging (DTI) is considered to be able to non-invasively quantify white matter integrity. This study aimed to use DTI to evaluate white matter integrity in non-geriatric patients with major depressive disorder (MDD) who were free of antidepressant medication. DTI was performed on 19 non-geriatric patients with MDD, free of antidepressant medication, and 19 age-matched healthy subjects. Voxel-based and histogram analyses were used to compare fractional anisotropy (FA) and mean diffusivity (MD) values between the two groups, using two-sample t tests. The abnormal DTI indices, if any, were tested for correlation with disease duration and severity, using Pearson product-moment correlation analysis. Voxel-based analysis showed clusters with FA decrease at the bilateral frontal white matter, anterior limbs of internal capsule, cerebellum, left putamen and right thalamus of the patients. Histogram analysis revealed lower peak position of FA histograms in the patients. FA values of the abnormal clusters and peak positions of FA histograms of the patients exhibited moderate correlation with disease duration and severity. These results suggest the implication of frontal-subcortical circuits and cerebellum in MDD, and the potential utility of FA in evaluation of brain parenchymal integrity.

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Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 4%
Hong Kong 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 11 23%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Professor > Associate Professor 3 6%
Other 3 6%
Unknown 8 17%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 19%
Psychology 8 17%
Agricultural and Biological Sciences 7 15%
Neuroscience 4 8%
Engineering 4 8%
Other 4 8%
Unknown 12 25%