Study on brain functional connectivity and brain network of patients with bipolar depression in emotion recognition
10.3760/cma.j.cn371468-20240606-00266
- VernacularTitle:双相抑郁发作患者情绪识别的脑功能连接与脑网络研究
- Author:
Tongxin LI
1
;
Xiaoju JIA
;
Ping GAO
;
Yeqing DONG
;
Lijun CHU
Author Information
1. 天津市安定医院（天津市精神卫生中心）精神卫生研究所，天津 300222
- Keywords:
Bipolar depression;
Emotion recognition;
Brain functional connectivity;
Brain functional network;
Clinical symptom
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2024;33(11):986-992
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the brain functional connectivity and network of patients with bipolar depression (BD) during emotion recognition, and to assess the correlation of brain functional indicators with clinical data.Methods:From August 2023 to September 2024, a total of 34 BD patients and 35 healthy controls were recruited for the study. The 17-item Hamilton depression scale(HAMD-17) and the Hamilton anxiety scale (HAMA) were used to assess the depression and anxiety symptoms of BD patients. While all the participants performed the emotion recognition task, a functional near-infrared spectroscopy (fNIRS) with 52 channels was utilized to collect their oxyhemoglobin concentrations in dorsolateral prefrontal cortex (DLPFC), medial prefrontal cortex (mPFC), and temporal lobe (TL). Brain functional indicators, including brain functional connectivity(BFC) and brain functional network (BFN) parameters, were extracted using fNIRS analysis algorithms. SPSS 26.0 software was used to perform t-test, Wilcoxon rank sum test, chi-square test, Pearson correlation and multiple linear regression analysis. Results:The emotion recognition accuracy of BD patients ((69.40±18.32) %) was lower than that of healthy controls ((76.94±6.09)%)( t=-2.13, P=0.036), and the average spending time ((4.00±1.78) s) of BD patients was longer than that of healthy controls ((2.69±1.27) s) ( t=-2.81, P=0.007). The BFC values of right DLPFC-right mPFC, right DLPFC-left TL, right DLPFC-left mPFC, right TL-right mPFC, right TL-left TL, right TL-left mPFC, right mPFC-left DLPFC, and right mPFC-left mPFC, the clustering coefficient, and small-world coefficient of BD patients were lower than those of healthy controls (all P<0.05).The characteristic path length of BD patients was higher than that of healthy controls ( t=1.27, P<0.05). For BD patients, the total score of HAMD-17 were significantly and negatively correlated with the clustering coefficient, small-world coefficients, and BFC values of right DLPFC-left mPFC and right mPFC-left DLPFC ( r=-0.45--0.27, all P<0.05).The total score of HAMA was significantly and positively correlated with the BFC value of right DLPFC-left mPFC ( r=0.30, P<0.05). The results of multiple linear regression analysis showed that the clustering coefficient ( β=-0.12, t=-0.69, P=0.009), small-world coefficients ( β=-0.22, t=-1.05, P=0.013), and BFC values of right DLPFC-left mPFC ( β=-0.47, t=-2.29, P=0.030) and right mPFC-left DLPFC( β=-0.20, t=-0.90, P=0.010) were influencing factors of depressive symptoms in BD patients. The BFC value of right DLPFC -left mPFC ( β=0.37, t=2.36, P=0.026) was influencing factor for anxiety symptoms in BD patients. Conclusions:There are abnormalities in some BFC values and BFN parameters in the DLPFC, mPFC, and TL brain regions during the emotional recognition task, which are related to the clinical symptoms. The abnormalities may be associated with the emotional recognition deficits in BD patients. These findings may provide theoretical guidance for the development of clinical intervention strategies for BD patients.
