摘要
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,ROI)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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2009年第6期1171-1176,共6页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(30671997)
关键词
逻辑计算
功能磁共振成像
血氧水平依赖对比信号
主成分分析
Mental calculation Functional MRI(fMRI) Blood oxygenation level dependent(BOLD) signal Principal component analysis(PCA)