Within-person biological mechanisms of mood variability in childhood and adolescence

IF 3.5 2区医学 Q1 NEUROIMAGING Human Brain Mapping Pub Date : 2024-07-24 DOI:10.1002/hbm.26766

Yara J. Toenders, Marleen H. M. de Moor, Renske van der Cruijsen, Kayla Green, Michelle Achterberg, Eveline A. Crone

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Abstract

Mood variability, the day-to-day fluctuation in mood, differs between individuals and develops during adolescence. Because adolescents show higher mood variability and average mood than children and adults, puberty might be a potential biological mechanism underlying this increase. The goal of this preregistered developmental study was to examine the neural and hormonal underpinnings of adolescent-specific within-person changes in mood variability, with a specific focus on testosterone, cortisol, pubertal status, and resting-state functional brain connectivity. Data from two longitudinal cohorts were used: the L-CID twin study (aged 7–13, N at the first timepoint = 258) and the accelerated Leiden Self-Concept study (SC; aged 11–21, N at the first timepoint = 138). In both studies resting-state functional magnetic resonance imaging (rs-fMRI) data was collected, as well as daily mood. Additionally, in the SC study self-reported puberty testosterone and cortisol were collected. Random intercept cross-lagged panel models (RI-CLPM) were used to study the within-person relations between these biological measures and mood variability and average mood. Mood variability and average mood peaked in adolescence and testosterone levels and self-reported puberty also showed an increase. Connectivity between prefrontal cortex (dlPFC and vmPFC) and subcortical regions (caudate, amygdala) decreased across development. Moreover, higher testosterone predicted average negative mood at the next time point, but not vice versa. Further, stronger vmPFC–amygdala functional connectivity predicted decreases in mood variability. Here, we show that brain connectivity during development is an important within-person biological mechanism of the development of mood in adolescents.

Practitioner Points

Mood variability peaks in adolescence.
Within-person changes in testosterone predict within-person changes in mood.
Within-person changes in vmPFC–amygdala connectivity predict within-person changes in mood variability.

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童年和青春期情绪变化的人体内生物机制。

情绪多变性是指每天的情绪波动，因人而异，并在青春期发展。与儿童和成人相比，青少年的情绪变异性和平均情绪更高，因此青春期可能是导致情绪变异性和平均情绪增加的潜在生物机制。这项预先登记的发育研究的目的是研究青少年特定的人体内情绪变异性变化的神经和激素基础，重点是睾酮、皮质醇、青春期状态和静息状态大脑功能连接。研究使用了两个纵向队列的数据：L-CID 双生子研究（7-13 岁，第一个时间点的 N = 258）和莱顿自我概念加速研究（SC；11-21 岁，第一个时间点的 N = 138）。这两项研究都收集了静息态功能磁共振成像（rs-fMRI）数据以及日常情绪。此外，SC 研究还收集了自我报告的青春期睾酮和皮质醇。随机截距交叉滞后面板模型（RI-CLPM）用于研究这些生物测量指标与情绪变异性和平均情绪之间的人际关系。情绪变异性和平均情绪在青春期达到顶峰，睾酮水平和自我报告的青春期也出现了增长。前额叶皮层（dlPFC 和 vmPFC）与皮层下区域（尾状核、杏仁核）之间的连接性在整个发育过程中都有所下降。此外，较高的睾酮可预测下一个时间点的平均消极情绪，但反之亦然。此外，较强的前脑皮质-杏仁核功能连通性可预测情绪变异性的下降。在此，我们表明，发育过程中的大脑连通性是青少年情绪发展的一个重要的人内生物学机制。实践点：情绪变化在青春期达到高峰。人体内睾酮的变化可预测人体内情绪的变化。前脑皮质-杏仁核连通性的人内变化可预测情绪变异性的人内变化。

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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来源期刊

Human Brain Mapping 医学-核医学

CiteScore

8.30

自引率

6.20%

发文量

401

审稿时长

3-6 weeks

期刊介绍： Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.