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.