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Mapping cerebrovascular reactivity using concurrent fMRI and near infrared spectroscopy

机译:使用并发FMRI和近红外光谱法测绘脑血管反应性

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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 CO2 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 regressor'. 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[Hb0]) 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)反映了脑脉管系统对稀释刺激的补偿性拖延能力,是脑血管储备的重要指标。当受试者执行CO2吸入或呼吸保持任务时,FMRI被证明是一种有效的成像技术,以获得CVR地图或呼吸保持任务(BH)。但是,传统的数据分析不准确地使用具有固定时间延迟的BoxCar功能模拟粗体。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)数据作为回归的封锁BH期间获得的FMRI数据。在这种并发的NIR和FMRI研究中,6个健康的受试者进行了阻塞的BH(5呼吸持有20S持续的20S持续的40s正常呼吸)。两个来源的NIRS探针和将3厘米分开的两个探测器被置于受试者的前平面区域的右侧。从NIRS数据计算氧血红蛋白(A [HB0])的变化时间,并按各种量随时间转移,并重新采样至FMRI采集率。每个移位的时间课程都被用作effiol(FSL中的分析工具)中的回归线。得到的Z统计地图在时间上连接,并且沿所有体素生成3-D CVR图的时间沿着最大值拍摄最大值。新方法生产更准确和彻底的CVR地图;此外,如果应用于休息状态(RS)数据,它使我们能够产生类似的基线脑血管映射。

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