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首页> 外文期刊>Developmental cognitive neuroscience. >Decomposing complex links between the childhood environment and brain structure in school-aged youth
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Decomposing complex links between the childhood environment and brain structure in school-aged youth

机译：学校青年儿童环境与脑结构之间的复杂联系

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Childhood experiences play a profound role in conferring risk and resilience for brain and behavioral development. However, how different facets of the environment shape neurodevelopment remains largely unknown. Here we sought to decompose heterogeneous relationships between environmental factors and brain structure in 989 school-aged children from the Adolescent Brain Cognitive Development Study. We applied a cross-modal integration and clustering approach called ‘Similarity Network Fusion’, which combined two brain morphometrics ( i.e., cortical thickness and myelin-surrogate markers), and key environmental factors ( i.e., trauma exposure, neighborhood safety, school environment, and family environment) to identify homogeneous subtypes. Depending on the subtyping resolution, results identified two or five subgroups, each characterized by distinct brain structure–environment profiles. Notably, more supportive caregiving and school environments were associated with greater myelination, whereas less supportive caregiving, higher family conflict and psychopathology, and higher perceived neighborhood safety were observed with greater cortical thickness. These subtypes were highly reproducible and predicted externalizing symptoms and overall mental health problems. Our findings support the theory that distinct environmental exposures are differentially associated with alterations in structural neurodevelopment. Delineating more precise associations between risk factors, protective factors, and brain development may inform approaches to enhance risk identification and optimize interventions targeting specific experiences.
机译：童年体验在赋予大脑和行为发展的风险和恢复力方面发挥着深刻的作用。然而，环境形状神经发光的不同方面仍然很大程度上。在这里，我们寻求分解来自青少年脑认知发展研究的989名学龄儿童环境因素和大脑结构之间的异质关系。我们应用了称为“相似性网络融合”的跨模型集成和聚类方法，其组合了两个脑形态化学（即皮质厚度和髓鞘标记），以及关键的环境因素（即创伤曝光，社区安全，学校环境，和家庭环境）识别均匀的亚型。根据亚型分辨率，结果确定了两种或五个子组，每个子组都以不同的脑结构环境概况为特征。值得注意的是，更具支持性的护理和学校环境与更高的髓鞘联系，而较少的支持性护理，更高的家庭冲突和精神病理学，并且以更大的皮质厚度观察到更高的感知邻里安全性。这些亚型是高度可重复的，并预测外化症状和整体心理健康问题。我们的研究结果支持了不同的环境暴露与结构神经发育的改变差异有差异。划定风险因素，保护因素和大脑发展之间的更精确的关联可能会通知途径，以提高风险识别和优化针对特定经验的干预措施。

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