学习与发展过程中的纵向网络重组。
Longitudinal network re-organization across learning and development.
机构信息
Department of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC 27599, United States.
Department of Developmental and Educational Psychology, Leiden University, 2333AK Leiden, the Netherlands; Leiden Institute for Brain and Cognition, 2333ZA Leiden, the Netherlands.
出版信息
Neuroimage. 2021 Apr 1;229:117784. doi: 10.1016/j.neuroimage.2021.117784. Epub 2021 Jan 24.
While it is well understood that the brain experiences changes across short-term experience/learning and long-term development, it is unclear how these two mechanisms interact to produce developmental outcomes. Here we test an interactive model of learning and development where certain learning-related changes are constrained by developmental changes in the brain against an alternative development-as-practice model where outcomes are determined primarily by the accumulation of experience regardless of age. Participants (8-29 years) participated in a three-wave, accelerated longitudinal study during which they completed a feedback learning task during an fMRI scan. Adopting a novel longitudinal modeling approach, we probed the unique and moderated effects of learning, experience, and development simultaneously on behavioral performance and network modularity during the task. We found nonlinear patterns of development for both behavior and brain, and that greater experience supported increased learning and network modularity relative to naïve subjects. We also found changing brain-behavior relationships across adolescent development, where heightened network modularity predicted improved learning, but only following the transition from adolescence to young adulthood. These results present compelling support for an interactive view of experience and development, where changes in the brain impact behavior in context-specific fashion based on developmental goals.
虽然人们已经充分认识到大脑在短期经验/学习和长期发育过程中会发生变化,但尚不清楚这两种机制如何相互作用以产生发育结果。在这里,我们测试了一种学习和发育的交互模型,该模型认为某些与学习相关的变化受到大脑发育变化的限制,而另一种发育即实践模型则认为,无论年龄大小,结果主要取决于经验的积累。参与者(8-29 岁)参加了一个三波加速的纵向研究,在此期间,他们在 fMRI 扫描期间完成了一项反馈学习任务。我们采用了一种新颖的纵向建模方法,同时探测了学习、经验和发育对任务中行为表现和网络模块化的独特和调节效应。我们发现行为和大脑都存在非线性的发育模式,与新手相比,更多的经验支持了学习和网络模块化的提高。我们还发现,在青少年发育过程中,大脑与行为的关系会发生变化,网络模块化的提高预示着学习的提高,但仅在从青春期到成年早期的过渡之后。这些结果为经验和发育的交互观点提供了有力支持,即大脑的变化会根据发育目标以特定于上下文的方式影响行为。