Modeling electrophysiological measures of decision-making and performance monitoring in neurotypical children engaging in a speeded flanker task.
Modeling electrophysiological measures of decision-making and performance monitoring in neurotypical children engaging in a speeded flanker task.
复制标题
对参与快速侧翼任务的神经典型儿童的决策和表现监测的电生理测量进行建模。
DOI:
10.1111/psyp.13972
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发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
Gavin,WilliamJ
中科院分区:
文献类型:
--
作者:
Lin,Mei-Heng;Davies,PatriciaL;Taylor,BrittanyK;Prince,MarkA;Gavin,WilliamJ
This study aims to use structural equation modeling (SEM) to investigate the role of error processing in behavioral adaptation in children by testing relationships between error‐related and stimulus‐related event‐related potentials (ERPs) obtained from two sessions of a speeded Eriksen flanker task. First, path models of averaged ERP components and mean response times (N1 → P2 → N2 → P3 → RTs) while controlling for trait effects, age, and sex, on each was examined separately for correct and incorrect trials from each session. While the model demonstrated acceptable fit statistics, the four models yielded diverse results. Next, path models for correct and incorrect trials were tested using latent variables defined by factoring together respective measures of ERP component amplitudes from each session. Comparison of correct and incorrect models revealed significant differences in the relationships between the successive measures of neural processing after controlling for trait effects. Moreover, latent variable models controlling for both traitandsession‐specific state variables yielded excellent model fit while models without session‐specific state variables did not. In the final model, the error‐related neural activity (i.e., the ERN and Pe) from incorrect trials was found to significantly relate to the stream of neural processes contributing to trials with the correct behavior. Importantly, the relationship between RT and error detection in the final model signifies a brain‐and‐behavior feedback loop. These findings provided empirical evidence that supports the adaptive orienting theory of error processing by demonstrating how the neural signals of error processing influence behavioral adaptations that facilitate correct behavioral performance.
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