Modeling the interrelationships between brain activity and trait attention measures to predict individual differences in reaction times in children during a Go/No-Go task.
Modeling the interrelationships between brain activity and trait attention measures to predict individual differences in reaction times in children during a Go/No-Go task.
复制标题
对大脑活动和特质注意力测量之间的相互关系进行建模，以预测儿童在执行/不执行任务期间反应时间的个体差异。
DOI：
10.1016/j.neuropsychologia.2017.12.025
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发表时间：
2018
期刊：
影响因子：
2.6
通讯作者：
Davies,PatriciaL
中科院分区：
文献类型：
--
作者：
Taylor,BrittanyK;Gavin,WilliamJ;Grimm,KevinJ;Passantino,DeborahE;Davies,PatriciaL
Many researchers are utilizing event-related potentials (ERPs) to better understand brain-behavior relationships across development. The present study demonstrates how structural equation modeling (SEM) techniques can be used to refine descriptions of brain-behavior relationships in a sample of neurotypical children. We developed an exploratory latent variable model in which trait measures of maturation and attention are related to neural processing and task behaviors obtained during a cued Go/No-Go task. Model findings are compared to results of traditional analysis techniques such as bivariate correlations. The data suggest that more sophisticated statistical approaches are beneficial to accurately interpreting the nature of brain-behavior relationships.
