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Longitudinal development of frontoparietal activity during feedback learning: Contributions of age, performance, working memory and cortical thickness

机译:反馈学习过程中额前额活动的纵向发展:年龄,表现,工作记忆和皮层厚度的贡献

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摘要

Feedback learning is a crucial skill for cognitive flexibility that continues to develop into adolescence, and is linked to neural activity within a frontoparietal network. Although it is well conceptualized that activity in the frontoparietal network changes during development, there is surprisingly little consensus about the direction of change. Using a longitudinal design (N=208, 8-27 years, two measurements in two years), we investigated developmental trajectories in frontoparietal activity during feedback learning. Our first aim was to test for linear and nonlinear developmental trajectories in dorsolateral prefrontal cortex (DLPFC), superior parietal cortex (SPC), supplementary motor area (SMA) and anterior cingulate cortex (ACC). Second, we tested which factors (task performance, working memory, cortical thickness) explained additional variance in time-related changes in activity besides age. Developmental patterns for activity in DLPFC and SPC were best characterized by a quadratic age function leveling off/peaking in late adolescence. There was a linear increase in SMA and a linear decrease with age in ACC activity. In addition to age, task performance explained variance in DLPFC and SPC activity, whereas cortical thickness explained variance in SMA activity. Together, these findings provide a novel perspective of linear and nonlinear developmental changes in the frontoparietal network during feedback learning.
机译:反馈学习是持续发展到青春期的认知灵活性的一项关键技能,并与额叶额叶内的神经活动相关。尽管人们已经很好地概念化了额叶额叶网络的活动在发育过程中发生了变化,但令人惊讶的是,关于变化方向的共识很少。使用纵向设计(N = 208,8-27年,两年中两次测量),我们研究了反馈学习过程中额顶活动的发展轨迹。我们的首要目标是测试背外侧前额叶皮层(DLPFC),上顶叶皮层(SPC),辅助运动区(SMA)和前扣带回皮层(ACC)的线性和非线性发展轨迹。其次,我们测试了哪些因素(任务表现,工作记忆,皮层厚度)解释了与年龄有关的与时间相关的活动变化的其他差异。 DLPFC和SPC中活性的发育模式的最佳特征是,在青春期后期,年龄水平趋于平稳/高峰。随着年龄的增长,SMA呈线性增加,而ACC活性则呈线性下降。除年龄外,任务表现还解释了DLPFC和SPC活性的差异,而皮层厚度则解释了SMA活动的差异。在一起,这些发现提供了在反馈学习过程中额顶网络中线性和非线性发展变化的新颖视角。

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