Mills Kathryn L, Tamnes Christian K
Institute of Cognitive Neuroscience, University College London, London, UK; Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD, USA.
Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.
Dev Cogn Neurosci. 2014 Jul;9:172-90. doi: 10.1016/j.dcn.2014.04.004. Epub 2014 May 2.
Magnetic resonance imaging (MRI) has allowed the unprecedented capability to measure the human brain in vivo. This technique has paved the way for longitudinal studies exploring brain changes across the entire life span. Results from these studies have given us a glimpse into the remarkably extended and multifaceted development of our brain, converging with evidence from anatomical and histological studies. Ever-evolving techniques and analytical methods provide new avenues to explore and questions to consider, requiring researchers to balance excitement with caution. This review addresses what MRI studies of structural brain development in children and adolescents typically measure and how. We focus on measurements of brain morphometry (e.g., volume, cortical thickness, surface area, folding patterns), as well as measurements derived from diffusion tensor imaging (DTI). By integrating finding from multiple longitudinal investigations, we give an update on current knowledge of structural brain development and how it relates to other aspects of biological development and possible underlying physiological mechanisms. Further, we review and discuss current strategies in image processing, analysis techniques and modeling of brain development. We hope this review will aid current and future longitudinal investigations of brain development, as well as evoke a discussion amongst researchers regarding best practices.
磁共振成像(MRI)使人们具备了前所未有的在体测量人脑的能力。这项技术为探索整个人生跨度中的大脑变化的纵向研究铺平了道路。这些研究的结果让我们得以一窥大脑显著的长期和多方面发展,这与解剖学和组织学研究的证据相契合。不断发展的技术和分析方法提供了新的探索途径和需要考虑的问题,要求研究人员在兴奋与谨慎之间取得平衡。本综述探讨了儿童和青少年大脑结构发育的MRI研究通常测量什么以及如何测量。我们重点关注脑形态测量(如体积、皮质厚度、表面积、折叠模式)以及源自扩散张量成像(DTI)的测量。通过整合多个纵向研究的结果,我们更新了关于大脑结构发育的当前知识,以及它与生物发育的其他方面和可能的潜在生理机制的关系。此外,我们回顾并讨论了当前在图像处理、分析技术和大脑发育建模方面的策略。我们希望本综述将有助于当前和未来对大脑发育的纵向研究,并引发研究人员之间关于最佳实践的讨论。