动态功能连接模式可预测初发、未用药的青少年重度抑郁症患者早期抗抑郁治疗反应。
Dynamic functional connectivity patterns predict early antidepressant treatment response in drug-naïve, first-episode adolescent MDD.
作者信息
Ran Maojia, Zhang Hang, Jin Meijiang, Tao Yuanmei, Xu Hanmei, Zou Shoukang, Wang Zhujun, Deng Fang, Huang Lijuan, Zhang Hong, Tang Xiaowei, Wang Yanping, Fu Xia, Yin Li
机构信息
Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Frontier Science Center for Disease-related Molecular Networks, Chengdu, Sichuan, China.
出版信息
Front Neurosci. 2025 Feb 3;19:1487754. doi: 10.3389/fnins.2025.1487754. eCollection 2025.
OBJECTIVE
Adolescents with major depressive disorder (MDD) exhibit abnormal dynamic functional connectivity (dFC) patterns, but it remains unclear whether these aberrant dFC patterns are linked to antidepressant treatment. The aim of this study is to investigate whether dFC patterns will be changed by antidepressant treatment, as well as whether baseline dFC pattern could predict treatment response in adolescent MDD patients.
METHOD
We included 35 drug-naïve, first-episode MDD adolescents (age 14.40 ± 1.24; 8 males and 27 females) and 24 healthy controls (HCs, age 14.21 ± 1.41; 11 males and 13 females). All MDD adolescents received 6 weeks of antidepressant treatment. Resting state and T1 MRI data were collected in MDD adolescents before and after treatment and in HCs. Independent component analysis (ICA) was used to compare the different dFC pattern between MDD adolescents and HCs at baseline, as well as which between before and after treatment in MDD adolescents. Finally, Pearson correlation and multivariate linear regression analyses were used to explore the associations between dFC pattern and changed score of BDI in MDD adolescents.
RESULTS
The mean dFC value between right inferior frontal gyrus (IFG) and bilateral insular cortex (IC; right, = -0.461, -FDR = 0.012; left, = -0.518, -FDR = 0.007) at baseline were negatively correlated with BDI score reduction. The mean dFC value between left frontal pole (FP) and right superior parietal lobule (SPL) after treatment was positively correlated with BDI score reduction ( = 0.442, -FDR = 0.014). And the mean dFC values between right IFG and bilateral IC (right, = -1.563, -FDR = 0.021; left, = -1.868, -FDR = 0.012) at baseline could predict antidepressant treatment response.
CONCLUSION
These findings demonstrate that dFC patterns between some brain areas could be a prospective factor for predicting antidepressant treatment response.
目的
患有重度抑郁症（MDD）的青少年表现出异常的动态功能连接（dFC）模式，但这些异常的dFC模式是否与抗抑郁治疗有关仍不清楚。本研究的目的是调查抗抑郁治疗是否会改变dFC模式，以及基线dFC模式是否可以预测青少年MDD患者的治疗反应。
方法
我们纳入了35名未服用过药物的首发MDD青少年（年龄14.40±1.24；8名男性和27名女性）和24名健康对照者（HCs，年龄14.21±1.41；11名男性和13名女性）。所有MDD青少年均接受了6周的抗抑郁治疗。在治疗前后收集了MDD青少年以及HCs的静息态和T1 MRI数据。采用独立成分分析（ICA）比较了基线时MDD青少年与HCs之间以及MDD青少年治疗前后的不同dFC模式。最后，采用Pearson相关分析和多元线性回归分析探讨MDD青少年dFC模式与BDI变化得分之间的关联。
结果
基线时，右侧额下回（IFG）与双侧脑岛皮质（IC；右侧，=-0.461，-FDR=0.012；左侧，=-0.518，-FDR=0.007）之间的平均dFC值与BDI得分降低呈负相关。治疗后左侧额极（FP）与右侧顶上小叶（SPL）之间的平均dFC值与BDI得分降低呈正相关（=0.442，-FDR=0.014）。基线时右侧IFG与双侧IC之间的平均dFC值（右侧，=-1.563，-FDR=0.021；左侧，=-1.868，-FDR=0.012）可以预测抗抑郁治疗反应。
结论
这些发现表明，某些脑区之间的dFC模式可能是预测抗抑郁治疗反应的一个前瞻性因素。
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