Yu Haiyan, Qian Zhiyu, Lu Guangming, Zhang Zhiqiang
Department of Biomedical Engineering, College of Automation, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Dec;26(6):1171-6.
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.
功能磁共振成像对脑功能的研究目前是研究人员关注的焦点。在本研究中,我们将心算作为认知任务,并使用磁共振成像进行数据收集。通过统计参数映射软件发现激活的脑区。此外,还计算了感兴趣区域的血氧水平依赖信号平均值(平均血氧水平依赖信号)以及血氧水平依赖信号主成分分析(主成分分析-血氧水平依赖信号)的主成分信号。我们将这两种信号与实验设计的信号进行了比较。结果表明,主成分分析-血氧水平依赖信号是通过缩放感兴趣区域的强度来定量评估激活脑区和进行脑功能基础研究的更好参数。