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Mapping cerebrovascular reactivity using concurrent fMRI and near infrared spectroscopy

机译:使用同步功能磁共振成像和近红外光谱图绘制脑血管反应性

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Cerebrovascular reactivity (CVR) reflects the compensatory dilatory capacity of cerebral vasculature to a dilatory stimulus and is an important indicator of brain vascular reserve. fMRI has been proven to be an effective imaging technique to obtain the CVR map when the subjects perform CO_2 inhalation or the breath holding task (BH). However, the traditional data analysis inaccurately models the BOLD using a boxcar function with fixed time delay. We propose a novel way to process the fMRI data obtained during a blocked BH by using the simultaneously collected near infrared spectroscopy (NIRS) data as regressor1. In this concurrent NIRS and fMRI study, 6 healthy subjects performed a blocked BH (5 breath holds with 20s durations intermitted by 40s of regular breathing). A NIRS probe of two sources and two detectors separated by 3 cm was placed on the right side of prefrontal area of the subjects. The time course of changes in oxy-hemoglobin (A[HbO]) was calculated from NIRS data and shifted in time by various amounts, and resampled to the fMRI acquisition rate. Each shifted time course was used as regressor in FEAT (the analysis tool in FSL). The resulting z-statistic maps were concatenated in time and the maximal value was taken along the time for all the voxels to generate a 3-D CVR map. The new method produces more accurate and thorough CVR maps; moreover, it enables us to produce a comparable baseline cerebral vascular map if applied to resting state (RS) data.
机译:脑血管反应性(CVR)反映了脑血管对扩张性刺激的代偿性扩张能力,并且是脑血管储备的重要指标。当受试者进行CO_2吸入或屏气任务(BH)时,fMRI已被证明是获取CVR图的有效成像技术。但是,传统的数据分析使用具有固定时间延迟的Boxcar函数对BOLD建模不准确。我们提出了一种新颖的方法来处理通过使用同时收集的近红外光谱(NIRS)数据作为regressor1在阻塞的BH期间获得的fMRI数据。在这项同时进行的NIRS和fMRI研究中,有6位健康受试者进行了BH阻滞(5次屏气,持续20s,而40s进行常规呼吸)。将两个源和两个探测器相隔3 cm的NIRS探针放置在受试者前额叶区域的右侧。根据NIRS数据计算氧合血红蛋白(A [HbO])的时间变化,并随时间推移各种量,然后重新采样至fMRI采集速率。每个偏移的时间过程都在FEAT(FSL中的分析工具)中用作回归器。将生成的z统计图及时连接起来,并沿时间为所有体素获取最大值,以生成3-D CVR图。新方法可以生成更准确,更详尽的CVR地图。此外,如果将其应用于静息状态(RS)数据,它可以使我们产生可比较的基线脑血管图。

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