High efficiency of left superior frontal gyrus and the symptom features of major depressive disorder.
10.11817/j.issn.1672-7347.2022.210743
- Author:
Liang ZHANG
1
;
Zexuan LI
2
;
Xiaowen LU
2
;
Jin LIU
2
;
Yumeng JU
2
;
Qiangli DONG
2
;
Jinrong SUN
2
;
Mi WANG
2
;
Bangshan LIU
2
;
Jiang LONG
3
;
Yan ZHANG
2
;
Qiang XU
4
;
Weihui LI
2
;
Xiang LIU
5
;
Hua GUO
6
;
Guangming LU
4
;
Lingjiang LI
7
Author Information
1. Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011. 148201021@csu.edu.cn.
2. Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011.
3. Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine, Shanghai 200030.
4. Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210000.
5. Department of Industrial Engineering, Tsinghua University, Beijing 100084.
6. Zhumadian Second People's Hospital, Zhumadian Henan 463000, China.
7. Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha 410011. llj2920@csu.edu.cn.
- Publication Type:Journal Article
- Keywords:
anhedonia;
functional magnetic resonance imaging;
major depressive disorder;
nodal network
- MeSH:
Anhedonia;
Antidepressive Agents/therapeutic use*;
Depressive Disorder, Major/drug therapy*;
Humans;
Infant;
Infant, Newborn;
Magnetic Resonance Imaging;
Prefrontal Cortex
- From:
Journal of Central South University(Medical Sciences)
2022;47(3):289-300
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Major depressive disorder (MDD) patients with anhedonia tend to have a poor prognosis. The underlying imaging basis for anhedonia in MDD remains largely unknown. The relationship between nodal properties and anhedonia in MDD patients need to be further investigated. Herein, this study aims to explore differences of cerebral functional node characteristics in MDD patients with severe anhedonia (MDD-SA) and MDD patients with mild anhedonia (MDD-MA) before and after the antidepressant treatment.
METHODS:Ninety participants with current MDD were recruited in this study. 24-Item Hamilton Depression Scale (HAMD-24) and Snaith-Hamilton Pleasure Scale (SHAPS) were used to assess the severity of depression and anhedonia at baseline and the end of 6-months treatment. The MDD patients who scored above the 25th percentile on the SHAPS were assigned to an MDD-SA group (n=19), while those who scored below the 25th percentile were assigned to an MDD-MA group (n=18). All patients in the 2 groups received antidepressant treatment. Functional magnetic resonance imaging (fMRI) images of all the patients were collected at baseline and the end of 6-months treatment. Graph theory was applied to analyze the patients' cerebral functional nodal characteristics, which were measured by efficiency (ei) and degree (ki).
RESULTS:Repeated measures 2-factor ANCOVA showed significant main effects on group on the ei and ki values of left superior frontal gyrus (LSFG) (P=0.003 and P=0.008, respectively), and on the ei and ki values of left medial orbital-frontal gyrus (LMOFG) (P=0.004 and P=0.008, respectively). Compared with the MDD-MA group, the significantly higher ei and ki values of the LSFG (P=0.015 and P=0.021, respectively), and the significantly higher ei and ki values of the LMOFG (P=0.015 and P=0.037, respectively) were observed in the MDD-SA group at baseline. Meanwhile, higher SHAPS scores could result in higher ei and ki values of LSFG (P=0.019 and P=0.026, respectively), and higher ei value of LMOFG (P=0.040) at baseline; higher SHAPS scores could result in higher ei values of LSFG (P=0.049) at the end of 6-months treatment. The multiple linear regression analysis revealed that sex were negatively correlated with the ei and ki values of LSFG (r= -0.014, P=0.004; r=-1.153, P=0.001, respectively). The onset age of MDD was negatively correlated with the ki value of LSFG (r=-0.420, P=0.034) at the end of 6-months treatment. We also found that SHAPS scores at baseline were positively correlated with the HAMD-24 scores (r=0.387, P=0.022) at the end of 6-months treatment.
CONCLUSIONS:There are obvious differences in nodal properties between the MDD-SA and the MDD-MA patients, such as the high ei of LSFG in the MDD-SA patients, which may be associated with the severity of anhedonia. These nodal properties could be potential biomarkers for the prognosis of MDD. The increased ei and ki values in the LSFG of MDD-SA patients may underlie a compensatory mechanism or protective mechanism. The mechanism may be an important component of the pathological mechanism of MDD-SA. The poor prognosis in the MDD-SA patients suggests that anhedonia may predict a worse prognosis in MDD patients. Sex and onset age of MDD may affect the nodal properties of LSFG at baseline and the end of 6-months treatment.
