Life-Span Cognitive Neuroscience Program, Institute of Gerontology, Wayne State University, Detroit, Michigan, United States; Department of Psychology, Wayne State University, Detroit, Michigan, United States; Merrill Palmer Skillman Institute for Child & Family Development, Wayne State University, Detroit, Michigan, United States; Neurobiology Department, Weizmann Institute of Science, Rehovot, Israel.
Life-Span Cognitive Neuroscience Program, Institute of Gerontology, Wayne State University, Detroit, Michigan, United States; Department of Psychology, Wayne State University, Detroit, Michigan, United States.
Dev Cogn Neurosci. 2019 Apr;36:100613. doi: 10.1016/j.dcn.2018.12.011. Epub 2018 Dec 30.
Recent advances in human cognitive neuroscience show great promise in extending our understanding of the neural basis of memory development. We briefly review the current state of knowledge, highlighting that most work has focused on describing the neural correlates of memory in cross-sectional studies. We then delineate three examples of the application of innovative methods in addressing questions that go beyond description, towards a mechanistic understanding of memory development. First, structural brain imaging and the harmonization of measurements across laboratories may uncover ways in which the maturation of the brain constrains the development of specific aspects of memory. Second, longitudinal designs and sophisticated modeling of the data may identify age-driven changes and the factors that determine individual developmental trajectories. Third, recording memory-related activity directly from the developing brain presents an unprecedented opportunity to examine how distinct brain structures support memory in real time. Finally, the growing prevalence of data sharing offers additional means to tackle questions that demand large-scale datasets, ambitious designs, and access to rare samples. We propose that the use of such innovative methods will move our understanding of memory development from a focus on describing trends to explaining the causal factors that shape behavior.
近年来,人类认知神经科学的进展在拓展我们对记忆发展的神经基础的理解方面展现出巨大的潜力。我们简要回顾了当前的知识状况,强调大多数研究工作都集中在描述横断面研究中记忆的神经相关性。然后,我们阐述了三个创新方法应用的例子,这些方法解决了超越描述性研究的问题,朝着对记忆发展的机制理解迈进。首先,结构脑成像和实验室间测量的协调可能揭示大脑成熟如何限制特定记忆方面的发展。其次,纵向设计和数据的复杂建模可以确定年龄驱动的变化以及决定个体发展轨迹的因素。第三,直接从发育中的大脑记录与记忆相关的活动,为实时检查不同大脑结构如何支持记忆提供了前所未有的机会。最后,数据共享的日益普及为解决需要大规模数据集、雄心勃勃的设计和获取稀有样本的问题提供了额外的手段。我们提出,使用这些创新方法将使我们对记忆发展的理解从关注描述趋势转变为解释塑造行为的因果因素。