CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Beijing, China; Lifespan Connectomics and Behavior Team, Institute of Psychology, Beijing, China; Key Laboratory for Brain and Education Sciences, Guangxi Teachers Education University, Nanning, Guangxi, China; Center for Longevity Research, Guangxi Teachers Education University, Nanning, Guangxi, China.
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Beijing, China; Lifespan Connectomics and Behavior Team, Institute of Psychology, Beijing, China; Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA.
Trends Cogn Sci. 2017 Jan;21(1):32-45. doi: 10.1016/j.tics.2016.10.005. Epub 2016 Nov 16.
Connectomics has enhanced our understanding of neurocognitive development and decline by the integration of network sciences into studies across different stages of the human life span. However, these studies commonly occurred independently, missing the opportunity to test integrated models of the dynamical brain organization across the entire life span. In this review article, we survey empirical findings in life-span connectomics and propose a generative framework for computationally modeling the connectome over the human life span. This framework highlights initial findings that across the life span, the human connectome gradually shifts from an 'anatomically driven' organization to one that is more 'topological'. Finally, we consider recent advances that are promising to provide an integrative and systems perspective of human brain plasticity as well as underscore the pitfalls and challenges.
连接组学通过将网络科学整合到人类生命各个阶段的研究中，增强了我们对神经认知发展和衰退的理解。然而，这些研究通常是独立进行的，错过了在整个生命周期中测试大脑动态组织综合模型的机会。在这篇综述文章中，我们调查了生命连接组学的实证发现，并提出了一个用于在人类生命跨度上计算建模连接组的生成框架。该框架突出了最初的发现，即在整个生命周期中，人类连接组逐渐从“受解剖结构驱动”的组织转变为更“拓扑”的组织。最后，我们考虑了一些有希望提供人类大脑可塑性综合和系统视角的最新进展，并强调了其中的陷阱和挑战。
