Budhachandra Khundrakpam , Linda Booij , Seun Jeon , Sherif Karama , Jussi Tohka , Alan C. Evans
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引用次数: 0
摘要
预测建模研究已经开始揭示潜在认知的大脑测量;然而,大多数研究都是基于横断面数据(在一个时间点获得的大脑测量)。由于大脑发育由导致认知发展的持续不断的事件组成,因此预测建模研究需要考虑“纵向大脑变化”,而不是“横断面大脑测量”。利用纵向神经成像和82名个体(5-14岁,扫描3次)的认知数据(全球执行综合评分,一种执行功能指数),我们基于皮层解剖结构的发育变化(从第1次到第2次)建立了高度准确的未来认知预测模型(r = 0.61, p = 1.6e-09)。脑纵向变化(即从第1次到第2次的皮质解剖变化)和脑横断面测量(第1次和第2次的皮质解剖变化)是预测未来认知的关键,这表明在预测认知结果时需要考虑脑纵向变化。
Individualized prediction of future cognition based on developmental changes in cortical anatomy
Predictive modeling studies have started to reveal brain measures underlying cognition; however, most studies are based on cross-sectional data (brain measures acquired at one time point). Since brain development comprises of continuously ongoing events leading to cognitive development, predictive modeling studies need to consider ‘longitudinal brain change’ as opposed to ‘cross-sectional brain measures’. Using longitudinal neuroimaging and cognitive data (global executive composite score, an index of executive function) from 82 individuals (aged 5–14 years, scanned 3 times), we built highly accurate prediction models (r = 0.61, p = 1.6e-09) of future cognition (assessed at visit 3) based on developmental changes in cortical anatomy (from visit 1 to 2). More importantly, longitudinal brain change (i.e. change in cortical anatomy from visit 1 to 2) and cross-sectional brain measures (cortical anatomy at visit 1 and 2) were critical for predicting future cognition, suggesting the need for considering longitudinal brain change in predicting cognitive outcomes.