目的初步探讨独立成分分析与相关分析对健康老年默认网络(DMN)提取的一致性。方法利用3.0TMR及8通道头线圈获得18名健康老年受试者的静息态fMRI数据。采用SPM软件对静息态数据进行预处理,以GIFT软件行独立成分分析,AFNI软件行相关分析,对比两种方法获得的DMN。结果两种方法间,除海马结构外,健康老年受试者DMN的脑功能区组成较为一致。后扣带回作为静息态脑代谢活性最高的区域之一,与DMN的大多数组成脑区之间存在功能连接。结论独立成分分析与相关分析对于DMN的提取存在一致性,二者结合可更加深入地探讨静息态脑功能机制。
Objective To investigate the consistency between independent component analysis (ICA) and correlation analysis of default mode network (DMN) in healthy elderly. Methods Resting-state fMR examination was performed with 3.0T MR scanner and 8-channel head coil. After pre-process of fMRI data with SPM, ICA was performed with GIFT and correlation analysis was performed with AFNI. Functional areas of DMN in healthy elderly were compared between the two methods. Results Except for hippocampal formation, consistent results of DMN were observed between ICA and correlation analysis. Functional connectivity was found between posterior cingulated cortex (PCC) and most of the functional areas in DMN. Conclusion ICA and correlation analysis has consistent results for DMN. Combination of these two methods may contribute to the further study of brain function on resting-state fMRI.