Research progress of brain imaging in cognitive behavioral therapy for depression
10.3760/cma.j.cn371468-20230120-00031
- VernacularTitle:认知行为疗法治疗抑郁症的脑影像学研究进展
- Author:
Manyu HE
1
;
Huiying WANG
;
Yan LI
;
Xinyu WANG
;
Chen QIU
;
Zihan YU
;
Yifang FU
;
Jinyu ZHANG
;
Yali WANG
;
Changhong WANG
Author Information
1. 新乡医学院第二附属医院精神科（河南省精神病医院），新乡 453002
- Keywords:
Cognitive behavioral therapy;
Magnetic resonance imaging;
Depressive disorder;
Mechanism
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2023;32(12):1148-1152
- CountryChina
- Language:Chinese
-
Abstract:
The prevalence and recurrence rate of depressive disorder are high, while the recognition and cure rate are low. Early intervention can improve the quality of life of patients with depression. In clinical practice, it has been found that psychological treatments can effectively improve the symptoms and prognosis of depression.Cognitive behavior therapy(CBT) has been widely used in the treatment of depression, however, its mechanisms are still unclear. In this paper, the neuroimaging studies of patients with depression before and after CBT were summarized, and the structural or functional changes of different brain regions in patients with depression before and after CBT were described. The findings suggest that CBT improved depressive symptoms by increasing gray matter volume, activation level, and functional connectivity strength in the dorsolateral prefrontal cortex, reducing activation levels in the amygdala and parahippocampal gyrus, and restoring abnormal brain network activity or functional connectivity. Larger gray matter volume in anterior cingulate gyrus and higher activation levels in hippocampus and amygdala before treatment can effectively predict the effect of CBT in depressed patients. In the future, machine learning could be combined with brain imaging data to more accurately predict the effectiveness of CBT in treating depression.
