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根据白质结构连接亚型理解早期青少年的幸福感特征:来自纵向青少年大脑研究的第一百个大脑队列。

Understanding Wellbeing Profiles According to White Matter Structural Connectivity Sub-types in Early Adolescents: The First Hundred Brains Cohort from the Longitudinal Adolescent Brain Study.

机构信息

Thompson Institute, University of the Sunshine Coast, 12 Innovation Parkway, Birtinya, Sunshine Coast, QLD, Australia.

出版信息

J Youth Adolesc. 2024 May;53(5):1029-1046. doi: 10.1007/s10964-024-01939-2. Epub 2024 Jan 13.

Abstract

Wellbeing is protective against the emergence of psychopathology. Neurobiological markers associated with mental wellbeing during adolescence are important to understand. Limited research has examined neural networks (white matter tracts) and mental wellbeing in early adolescence specifically. A cross-sectional diffusion tensor imaging analysis approach was conducted, from the Longitudinal Adolescent Brain study, First Hundred Brains cohort (N = 99; 46.5% female; M = 13.01, SD = 0.55). Participants completed self-report measures including wellbeing, quality-of-life, and psychological distress. Potential neurobiological profiles using fractional anisotropy, axial, and radial diffusivity were determined via a whole brain voxel-wise approach, and hierarchical cluster analysis of fractional anisotropy values, obtained from 21 major white matter tracts. Three cluster groups with significantly different neurobiological profiles were distinguished. No significant differences were found between the three cluster groups and measures of wellbeing, but two left lateralized significant associations between white matter tracts and wellbeing measures were found. These results provide preliminary evidence for potential neurobiological markers of mental health and wellbeing in early adolescence and should be tracked longitudinally to provide more detailed and robust findings.

摘要

幸福感可预防精神病理学的出现。了解与青少年时期心理健康相关的神经生物学标志物很重要。目前针对青少年早期的特定神经网络(白质束)和心理健康的研究还很有限。本研究采用基于体素的全脑分析方法,从纵向青少年大脑研究(Labs)的第一个 100 个大脑队列(N=99;46.5%为女性;M=13.01,SD=0.55)中收集数据。参与者完成了幸福感、生活质量和心理困扰等自我报告的测量。通过对全脑 21 个主要白质束的各向异性分数值进行层次聚类分析,确定了潜在的神经生物学特征。确定了三个具有明显不同神经生物学特征的聚类组。这三个聚类组在幸福感的测量上没有显著差异,但在白质束和幸福感测量之间发现了两个与左侧相关的显著关联。这些结果为青少年早期心理健康和幸福感的潜在神经生物学标志物提供了初步证据,应进行纵向跟踪,以提供更详细和更可靠的结果。

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