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首页> 外文期刊>Frontiers in Neuroscience >Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI
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Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI

机译:使用新颖的源定位相回归技术评估BOLD fMRI中血管对语义类别区域定位的贡献

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摘要

Numerous studies have shown that gradient-echo blood oxygen level dependent (BOLD) fMRI is biased toward large draining veins. However, the impact of this large vein bias on the localization and characterization of semantic category areas has not been examined. Here we address this issue by comparing standard magnitude measures of BOLD activity in the Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA) to those obtained using a novel method that suppresses the contribution of large draining veins: source-localized phase regressor (sPR). Unlike previous suppression methods that utilize the phase component of the BOLD signal, sPR yields robust and unbiased suppression of large draining veins even in voxels with no task-related phase changes. This is confirmed in ideal simulated data as well as in FFA/PPA localization data from four subjects. It was found that approximately 38% of right PPA, 14% of left PPA, 16% of right FFA, and 6% of left FFA voxels predominantly reflect signal from large draining veins. Surprisingly, with the contributions from large veins suppressed, semantic category representation in PPA actually tends to be lateralized to the left rather than the right hemisphere. Furthermore, semantic category areas larger in volume and higher in fSNR were found to have more contributions from large veins. These results suggest that previous studies using gradient-echo BOLD fMRI were biased toward semantic category areas that receive relatively greater contributions from large veins.
机译:大量研究表明,梯度回波血氧水平依赖性(BOLD)fMRI偏向大的引流静脉。但是,这种大静脉偏差对语义类别区域的定位和特征化的影响尚未得到检验。在这里,我们通过比较梭形脸部区域(FFA)和海马旁区域(PPA)中BOLD活动的标准幅度度量与使用抑制大排水静脉贡献的新方法获得的标准幅度度量来解决此问题:源本地化相回归( sPR)。与以前的利用BOLD信号的相位分量的抑制方法不同,即使在没有与任务相关的相位变化的体素中,sPR仍可对大型排水静脉产生鲁棒且无偏的抑制。理想的模拟数据以及来自四个受试者的FFA / PPA本地化数据都证实了这一点。发现大约38%的右PPA,14%的左PPA,16%的右FFA和6%的左FFA体素主要反映了来自大引流静脉的信号。令人惊讶的是,由于抑制了大静脉的贡献,PPA中的语义类别表示实际上趋向于偏向左侧而不是右侧半球。此外,发现较大音量和较高fSNR的语义类别区域对大静脉的贡献更大。这些结果表明,以前使用梯度回波BOLD fMRI的研究偏向语义类别区域,该区域从大静脉中获得相对较大的贡献。

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