Department of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute of Cognitive Science, University of Colorado Boulder, United States.
Department of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States.
Neuroimage. 2024 Oct 1;299:120827. doi: 10.1016/j.neuroimage.2024.120827. Epub 2024 Sep 6.
The current study demonstrates that an individual's resting-state functional connectivity (RSFC) is a dependable biomarker for identifying differential patterns of cognitive and emotional functioning during late childhood. Using baseline RSFC data from the Adolescent Brain Cognitive Development (ABCD) study, which includes children aged 9-11, we identified four distinct RSFC subtypes. We introduce an integrated methodological pipeline for testing the reliability and importance of these subtypes. In the Identification phase, Leiden Community Detection defined RSFC subtypes, with their reproducibility confirmed through a split-sample technique in the Validation stage. The Evaluation phase showed that distinct cognitive and mental health profiles are associated with each subtype, with the Predictive phase indicating that subtypes better predict various cognitive and mental health characteristics than individual RSFC connections. The Replication stage employed bootstrapping and down-sampling methods to substantiate the reproducibility of these subtypes further. This work allows future explorations of developmental trajectories of these RSFC subtypes.
本研究表明,个体的静息态功能连接(RSFC)是识别儿童晚期认知和情感功能差异模式的可靠生物标志物。本研究使用青少年大脑认知发展(ABCD)研究的基线 RSFC 数据,该研究包括 9-11 岁的儿童,我们确定了四个不同的 RSFC 亚型。我们引入了一个综合的方法学管道,用于测试这些亚型的可靠性和重要性。在识别阶段,莱顿社区检测定义了 RSFC 亚型,通过在验证阶段的拆分样本技术确认了其可重复性。评估阶段表明,不同的认知和心理健康特征与每个亚型相关联,而预测阶段表明,与单个 RSFC 连接相比,亚型可以更好地预测各种认知和心理健康特征。复制阶段采用了自举和下采样方法进一步证实了这些亚型的可重复性。这项工作为未来探索这些 RSFC 亚型的发展轨迹提供了可能。