Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression.
Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression.
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DOI：
10.1038/s41598-023-33077-3
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发表时间：
2023-04-18
影响因子：
4.6
通讯作者：
Okamoto, Yasumasa
中科院分区：
文献类型：
--
作者：
Sato, Yosuke;Okada, Go;Yokoyama, Satoshi;Ichikawa, Naho;Takamura, Masahiro;Mitsuyama, Yuki;Shimizu, Ayaka;Itai, Eri;Shinzato, Hotaka;Kawato, Mitsuo;Yahata, Noriaki;Okamoto, Yasumasa
尽管晚期青少年阈下抑郁症（StD）的识别可能为制定有效的干预措施提供基础，从而减少StD的患病率并预防重度抑郁症的发展，但关于StD的神经基础的知识仍然有限。本研究的目的是建立一个可推广的性病分类器，并阐明青少年晚期性病的潜在神经机制。采用静息状态功能磁共振成像数据建立StD分类器，结合两种机器学习算法选择8个功能连接。我们将该生物标志物应用于一个独立队列（n = 43），并证实它具有泛化性能（对于训练/测试数据集，曲线下面积= 0.84/0.75）。此外，最重要的功能连接是在左和右苍白球之间，这可能与性病患者的临床重要功能障碍有关，如快感缺乏和对奖励的低敏感性。对已识别的功能连接的调节是否可以有效治疗性病的研究可能是未来研究的一个重要课题。
Although the identification of late adolescents with subthreshold depression (StD) may provide a basis for developing effective interventions that could lead to a reduction in the prevalence of StD and prevent the development of major depressive disorder, knowledge about the neural basis of StD remains limited. The purpose of this study was to develop a generalizable classifier for StD and to shed light on the underlying neural mechanisms of StD in late adolescents. Resting-state functional magnetic resonance imaging data of 91 individuals (30 StD subjects, 61 healthy controls) were included to build an StD classifier, and eight functional connections were selected by using the combination of two machine learning algorithms. We applied this biomarker to an independent cohort (n = 43) and confirmed that it showed generalization performance (area under the curve = 0.84/0.75 for the training/test datasets). Moreover, the most important functional connection was between the left and right pallidum, which may be related to clinically important dysfunctions in subjects with StD such as anhedonia and hyposensitivity to rewards. Investigation of whether modulation of the identified functional connections can be an effective treatment for StD may be an important topic of future research.
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