Charite Universitätsmedizin, Department of Neurology, Center for Stroke Research Berlin & Cluster of Excellence NeuroCure, Berlin, Germany.
Neuroimage. 2013 Jun;73:215-24. doi: 10.1016/j.neuroimage.2012.02.058. Epub 2012 Feb 24.
Functional magnetic resonance imaging is the most widely used imaging technique to study treatment-induced recovery in post-stroke aphasia. The longitudinal design of such studies adds to the challenges researchers face when studying patient populations with brain damage in cross-sectional settings. The present review focuses on issues specifically relevant to neuroimaging data analysis in aphasia treatment research identified in discussions among international researchers at the Neuroimaging in Aphasia Treatment Research Workshop held at Northwestern University (Evanston, Illinois, USA). In particular, we aim to provide the reader with a critical review of unique problems related to the pre-processing, statistical modeling and interpretation of such data sets. Despite the fact that data analysis procedures critically depend on specific design features of a given study, we aim to discuss and communicate a basic set of practical guidelines that should be applicable to a wide range of studies and useful as a reference for researchers pursuing this line of research.
功能磁共振成像(fMRI)是研究卒中后失语症治疗引起的恢复的最广泛使用的成像技术。这种研究的纵向设计增加了研究人员在横断面研究中研究脑损伤患者人群时所面临的挑战。本综述重点关注在西北大学(美国伊利诺伊州埃文斯顿)举行的失语症治疗研究神经影像学研讨会上国际研究人员讨论中确定的与失语症治疗研究中的神经影像学数据分析特别相关的问题。特别是,我们旨在为读者提供对与这些数据集的预处理、统计建模和解释相关的独特问题的批判性评价。尽管数据分析程序严重依赖于特定研究的特定设计特征,但我们旨在讨论和交流一套基本的实用指南,这些指南应适用于广泛的研究,并可作为从事这一研究的研究人员的参考。