Comparison of methods for detecting nondeterministic BOLD fluctuation in fMRI
Comparison of methods for detecting nondeterministic BOLD fluctuation in fMRI
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DOI：
10.1016/j.mri.2003.09.007
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发表时间：
2004-02-01
影响因子：
2.5
通讯作者：
Tervonen, O
中科院分区：
文献类型：
--
作者：
Kiviniemi, V;Kantola, JH;Tervonen, O
功能性磁共振成像（fMRI）已被用于检测大脑皮层中的神经元激活和内在血流波动。本文旨在比较分析非确定性水流波动的方法。比较了快速傅立叶变换（FFT）、互相关（CC）、空间主成分分析（sPCA）和独立成分分析（sICA）。15名受试者在1.5T下成像。比较了三种定量测量：（1）具有可识别波动的受试者数量，（2）体积，和（3）检测到的体素的平均相关系数（MCC）。对皮质结构和整体可用性进行了定性评估。sICA是空间上最准确的，但耗时，鲁棒性，并检测体素与高时间同步。CC和FFT快速适合初筛。CC检测到最高的时间同步性，但对参考向量的主观检测产生了检测到的体积的过度方差。FFT和sPCA在空间上不准确，并且没有检测到体素的足够的时间同步。(C)2004爱思唯尔公司All rights reserved.
Functional MR imaging (fMRI) has been used in detecting neuronal activation and intrinsic blood flow fluctuations in the brain cortex. This article is aimed for comparing the methods for analyzing the nondeterministic flow fluctuations. Fast Fourier Transformation (FFT), cross correlation (CC), spatial principal component analysis (sPCA), and independent component analysis (sICA) were compared. 15 subjects were imaged at 1.5 T. Three quantitative measures were compared: (1) The number of subjects with identifiable fluctuation, (2) the volume, and (3) mean correlation coefficient (MCC) of the detected voxels. The focusing on cortical structures and the overall usability were qualitatively assessed. sICA was spatially most accurate but time consuming, robust, and detected voxels with high temporal synchrony. The CC and FFT were fast suiting primary screening. The CC detected highest temporal synchrony but the subjective detection for reference vector produced excess variance of the detected volumes. The FFT and sPCA were not spatially accurate and did not detect adequate temporal synchrony of the voxels. (C) 2004 Elsevier Inc. All rights reserved.