利用功能磁共振成像(fMRI)进行脑功能研究是目前的一个热点,本文以逻辑计算为认知任务,利用fMRI进行数据采集,通过SPM软件分析得到激活脑区,提取感兴趣区(Regions of interest,ROD的平均BOLD信号(Average-BOLD),并利用主成分分析(Principal component analysis,PCA)方法提取ROI内BOLD信号(PCA—BOLD),通过Average-BOLD、PCA—BOLD信号与实验设计的逻辑任务曲线进行比较,认为PCA—BOLD信号可以更好的作为fMRI激活脑区的定量评估指标,用来衡量ROI激活强度,并进行脑功能基础研究。
The study of brain function by fMRI is currently a cynosure of researchers. In this study, we performed mental calculation as a cognitive task and used MRI for data collection. Activated brain areas were found by the software of SPM. Moreover, the average of BOLD signal(Average-BOLD) and the principal component signal by principal component analysis(PCA) of BOLD signal(PCA-BOLD) in the regions of interest (ROD were figured. We compared these two sorts of signals versus the signal designed by the experiment. The results show that PCA-BOLD signal is a better parameter for quantitive evaluations of the activated brain areas and for the basic research of brain function by scaling the intensity of ROI.