A deformation-based morphometry study on gray matter abnormalities in drug-naive patients with first-onset major depressive disorder
10.3760/cma.j.cn113661-20200414-00180
- VernacularTitle:基于形变的形态学测量对首次发病未服药抑郁症患者大脑灰质异常的研究
- Author:
Xiaodan LIU
1
;
Lingsheng LI
;
Meng LI
;
Zepu REN
;
Ping MA
Author Information
1. 暨南大学附属第一医院影像中心，广州 510630
- Publication Type:Journal Article
- Keywords:
Depressive disorder;
ROC curve;
Deformation-based morphometry
- From:
Chinese Journal of Psychiatry
2021;54(2):104-110
- CountryChina
- Language:Chinese
-
Abstract:
Objective:This study was aimed to explore the structural changes of grey matter (GM) in drug-naive patients with first-onset major depressive disorder (MDD) by using deformation-based morphometry (DBM) and the possible imaging biomarkers for early diagnosis of MDD.Methods:3D T 1-weighted structural MRI scans were performed on 38 MDD patients and 65 healthy controls (HCs), matched with age and gender. DBM and region of interests (ROIs) approaches were used to compare the gray matter (GM) Jacobian determinant and GM volume (GMV) between MDD group and HCs group. The receiver operating characteristic curve (ROC) was used to test the diagnostic value of the grey matter volume of statistically different regions for MDD. Results:MDD patients showed significant GM atrophy in the right anterior cingulate cortex (ACC), right precentral cortex and left paracentral cortex (voxel peak-level P<0.001,cluster size>120). The GMV of the right ACC, right precentral cortex and left paracentral cortex in MDD group were significantly smaller than those in HCs group ( P<0.01, two-tailed). The GMV of the right ACC showed a certain value for the diagnosis of MDD, with the area under curve (AUC) of 0.733, and a suggested cutoff value of 0.414. Conclusion:The DBM method can detect the GM atrophy and GMV reduction in the prefrontal and parietal regions, which reflect the changes in the GM microstructural of gray matter in early MDD. The GMV of the right ACC might be the imaging indicator for the early diagnosis of MDD.
