动态功能连接模式预测drug-naïve,首发青少年MDD的早期抗抑郁治疗反应。

IF 3.2 3区 医学 Q2 NEUROSCIENCES Frontiers in Neuroscience Pub Date : 2025-02-03 eCollection Date: 2025-01-01 DOI:10.3389/fnins.2025.1487754
Maojia Ran, Hang Zhang, Meijiang Jin, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Zhujun Wang, Fang Deng, Lijuan Huang, Hong Zhang, Xiaowei Tang, Yanping Wang, Xia Fu, Li Yin
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引用次数: 0

摘要

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,但目前尚不清楚这些异常的dFC模式是否与抗抑郁治疗有关。本研究的目的是探讨抗抑郁药物治疗是否会改变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:纳入35例drug-naïve首发MDD青少年(年龄14.40 ± 1.24;男性8名,女性27名),健康对照24名(hc,年龄14.21 ± 1.41;11名男性和13名女性)。所有MDD青少年都接受了6 周的抗抑郁治疗。收集MDD青少年治疗前后和hc患者的静息状态和T1 MRI数据。采用独立成分分析(ICA)比较MDD青少年和hc患者在基线时的不同dFC模式,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重度抑郁症青少年dFC模式与BDI评分变化的关系。结果:右侧额下回(IFG)与双侧岛叶皮质(IC)之间的平均dFC值;右,r = -0.461,p-FDR = 0.012;左,基线r = -0.518,p-FDR = 0.007)与BDI评分降低呈负相关。治疗后左额极(FP)与右顶叶上叶(SPL)的平均dFC值与BDI评分降低呈正相关(r = 0.442,p-FDR = 0.014)。右侧IFG与双侧IC之间的平均dFC值(右,β = -1.563,p-FDR = 0.021;左,基线β = -1.868,p-FDR = 0.012)可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药物治疗反应的前瞻性因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Dynamic functional connectivity patterns predict early antidepressant treatment response in drug-naïve, first-episode adolescent MDD.

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, r = -0.461, p-FDR = 0.012; left, r = -0.518, p-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 (r = 0.442, p-FDR = 0.014). And the mean dFC values between right IFG and bilateral IC (right, β = -1.563, p-FDR = 0.021; left, β = -1.868, p-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.

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Frontiers in Neuroscience
Frontiers in Neuroscience NEUROSCIENCES-
CiteScore
6.20
自引率
4.70%
发文量
2070
审稿时长
14 weeks
期刊介绍: Neural Technology is devoted to the convergence between neurobiology and quantum-, nano- and micro-sciences. In our vision, this interdisciplinary approach should go beyond the technological development of sophisticated methods and should contribute in generating a genuine change in our discipline.
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