Analysis and use of fMRI response delays

被引:129
作者
Saad, ZS
Ropella, KM
Cox, RW
DeYoe, EA
机构
[1] Med Coll Wisconsin, Dept Cell Biol Neurobiol & Anat, Milwaukee, WI 53226 USA
[2] Marquette Univ, Dept Biomed Engn, Milwaukee, WI 53233 USA
[3] Med Coll Wisconsin, Biophys Res Inst, Milwaukee, WI 53226 USA
关键词
MRI methods/techniques; activation latency; human visual cortex; angiography; noise;
D O I
10.1002/hbm.1026
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In this study, we implemented a new method for measuring the temporal delay of functional magnetic resonance imaging (fMRI) responses and then estimated the statistical distribution of response delays evoked by visual stimuli (checkered annuli) within and across voxels in human visual cortex. We assessed delay variability among different cortical sites and between parenchyma and blood vessels. Overall, 81% of all responsive voxels showed activation in phase with the stimulus while the remaining voxels showed antiphase, suppressive responses. Mean delays for activated and suppressed voxels were not significantly different (P < 0.001). Cortical flat maps showed that the pattern of activated and suppressed voxels was dynamically induced and depended on stimulus size. Mean delays for blood vessels were 0.7-2.4 sec longer than for parenchyma (P < 0.01). However, both parenchyma and blood vessels produced responses with long delays. We developed a model to identify and quantify different components contributing to variability in the empirical delay measurements. Within-voxel changes in delay over time were fully accounted for by the effects of empirically measured fMRI noise with virtually no measurable variability associated with the stimulus-induced response itself. Across voxels, as much as 47% of the delay variance was also the result of fMRI noise, with the remaining variance reflecting fixed differences in response delay among brain sites. In all cases, the contribution of fMRI noise to the delay variance depended on the noise power at the stimulus frequency, White noise models significantly underestimated the fMRI noise effects. (C) 2001 Wiley-Liss, Inc.
引用
收藏
页码:74 / 93
页数:20
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