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Published in: BMC Psychiatry 1/2013

Open Access 01-12-2013 | Research article

Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study

Authors: Hong-jun Peng, Hui-rong Zheng, Yu-ping Ning, Yan Zhang, Bao-ci Shan, Li Zhang, Hai-chen Yang, Jun Liu, Ze-xuan Li, Jian-song Zhou, Zhi-jun Zhang, Ling-jiang Li

Published in: BMC Psychiatry | Issue 1/2013

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Abstract

Background

White matter abnormalities can cause network dysfunction that underlies major depressive disorder (MDD). Diffusion tensor imaging (DTI) is used to examine the neural connectivity and integrity of the white matter. Previous studies have implicated frontolimbic neural networks in the pathophysiology of MDD. Approximately 30% of MDD patients demonstrate treatment-resistant depression (TRD). However, the neurobiology of TRD remains unclear.

Methods

We used a voxel-based analysis method to analyze DTI data in young patients with TRD (n = 30; 19 males, 11 females) compared with right-handed, age- and sex-matched healthy volunteers (n = 25; 14 males, 11 females).

Results

We found a significant decrease in fractional anisotropy (FA) (corrected, cluster size >50) in the left middle frontal gyrus (peak coordinates [−18 46–14]), left limbic lobe uncus (peak coordinates [−18 2–22]), and right cerebellum posterior lobe (peak coordinates [26–34 -40]). There was no increase in FA in any brain region in patients. We also found a significant negative correlation between mean regional FA values in the three areas and Beck Depression Inventory symptom scores.

Conclusions

We found significant differences in white matter FA in the frontal lobe, limbic lobe and cerebellum between TRD patients and controls. These data suggest that abnormalities of cortical-limbic-cerebellar white matter networks may contribute to TRD in young patients.
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Metadata
Title
Abnormalities of cortical-limbic-cerebellar white matter networks may contribute to treatment-resistant depression: a diffusion tensor imaging study
Authors
Hong-jun Peng
Hui-rong Zheng
Yu-ping Ning
Yan Zhang
Bao-ci Shan
Li Zhang
Hai-chen Yang
Jun Liu
Ze-xuan Li
Jian-song Zhou
Zhi-jun Zhang
Ling-jiang Li
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2013
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/1471-244X-13-72

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