Laboratory of Neurocognitive Development, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Hum Brain Mapp. 2010 Jun;31(6):863-71. doi: 10.1002/hbm.21073.
Pediatric neuroimaging is increasingly providing insights into the neural basis of cognitive development. Indeed, we have now arrived at a stage where we can begin to identify optimal methodological and statistical approaches to the acquisition and analysis of developmental imaging data. In this article, we describe a number of these approaches and how their selection impacts the ability to examine and interpret developmental effects. We describe preferred approaches to task selection, definition of age groups, selection of fMRI designs, definition of regions of interest (ROI), optimal baseline measures, and treatment of timecourse data. Consideration of these aspects of developmental neuroimaging reveals that unlike single-group neuroimaging studies, developmental studies pose unique challenges that impact study planning, task design, data analysis, and the interpretation of findings.
儿科神经影像学越来越多地为认知发展的神经基础提供了深入了解。事实上,我们现在已经进入了一个可以开始确定获取和分析发育成像数据的最佳方法和统计方法的阶段。在本文中,我们描述了其中的一些方法,以及它们的选择如何影响检查和解释发育影响的能力。我们描述了任务选择、年龄组定义、功能磁共振成像设计选择、感兴趣区域 (ROI) 定义、最佳基线测量以及时间序列数据处理的首选方法。考虑到发育神经影像学的这些方面,与单组神经影像学研究不同,发育研究提出了独特的挑战,影响研究计划、任务设计、数据分析和研究结果的解释。