功能性MRI数据的联合时空统计分析

Z. Fu, Y. Hui, Zhi-Pei Liang
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引用次数: 12

摘要

提出了一种检测功能磁共振成像(fMRI)图像序列中神经元活动相关信号变化的新方法。该方法将小波分析与统计检验相结合,在独特的时空框架下对fMRI图像序列进行有效分析。实验结果表明,对于低信噪比的fMRI数据,该方法的性能明显优于现有的几种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint spatiotemporal statistical analysis of functional MRI data
This paper presents a novel method for the detection of neuronal activity-dependent signal changes in functional magnetic resonance imaging (fMRI) image sequences. In this method, wavelet analysis and statistical testing are applied jointly, enabling fMRI image sequences to be effectively analyzed in a unique spatio temporal framework. Experimental results show that this method performs significantly better than several existing methods for fMRI data with low SNR.
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