Yushkevich Paul A, Detre John A, Tang Kathy Z, Hoang Angela, Mechanic-Hamilton Dawn, Fernandez-Seara María A, Korczykowski Marc, Zhang Hui, Gee James C
Penn Image Computing and Science Laboratory, University of Pennsylvania, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):284-91. doi: 10.1007/11866763_35.
A new approach to group activation analysis in fMRI studies that test hypotheses focused on specific brain structures is presented and used to analyze hippocampal activation in a visual scene encoding study. The approach leverages the cm-rep method to normalize hippocampal anatomy and project intra-subject hippocampal activation maps into a common reference space, eliminating normalization errors inherent in whole-brain approaches and guaranteeing that peaks detected in the random effects activation map are indeed associated with the hippocampus. When applied to real fMRI data, the method detects more significant hippocampal activation than the established whole-brain method.
本文提出了一种用于功能磁共振成像(fMRI)研究中群组激活分析的新方法,该方法用于检验针对特定脑结构的假设,并应用于视觉场景编码研究中的海马体激活分析。该方法利用cm-rep方法对海马体解剖结构进行标准化,并将个体海马体激活图投影到一个共同的参考空间中,消除了全脑方法中固有的标准化误差,并确保在随机效应激活图中检测到的峰值确实与海马体相关。当应用于实际的fMRI数据时,该方法比已有的全脑方法检测到更显著的海马体激活。