The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, No.2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, 611731, Sichuan, China.
Department of Biomedical Engineering, New Jersey Institute of Technology, University Height, 607 Fenster Hall, Newark, NJ, 07102, USA.
Brain Struct Funct. 2021 May;226(4):1229-1239. doi: 10.1007/s00429-021-02236-5. Epub 2021 Feb 17.
Cerebrovascular reactivity (CVR) is of great significance for the treatment and prevention of cerebrovascular diseases. CVR can be mapped using the blood oxygenation level-dependent (BOLD) signal of fMRI. Breath holding (BH) is a reliable method to produce the desired increase in arterial CO, while its application in clinical research is limited due to subject's compliance and variability. BH task with variable respiratory rates could allow more flexibility in clinical populations. In this study, 50 healthy volunteers were scanned for end-inspiration BH tasks with three different respiration rates. For the three respiratory rates BH tasks, the CVR was estimated based on the BOLD signal and general linear model (GLM) separately. Specifically, the extra time delay was considered for the hemodynamic response function, and the optimal delay was estimated for each voxel. To measure CVR in grey matter, BOLD signals of end-inspiration BH were used as regressors in general linear models to quantify their impact on CVR. This was performed for regions and voxels. Systematic differences were observed between the three end-inspiratory breathing rates. The greatest increase in activation intensity was found in fast breathing followed by self-paced and slow breathing. We conclude that the BH task of variable respiratory rates allows for CVR measurement, making breath-holding challenges more flexible and appropriate for routine practice.
脑血管反应性(CVR)对于脑血管疾病的治疗和预防具有重要意义。CVR 可以通过 fMRI 的血氧水平依赖(BOLD)信号进行映射。屏气(BH)是产生所需动脉 CO2 增加的可靠方法,但由于受试者的依从性和变异性,其在临床研究中的应用受到限制。具有可变呼吸率的 BH 任务可以在临床人群中提供更大的灵活性。在这项研究中,对 50 名健康志愿者进行了扫描,以进行三种不同呼吸率的吸气末 BH 任务。对于三种呼吸率 BH 任务,分别基于 BOLD 信号和广义线性模型(GLM)来估计 CVR。具体来说,对于血流动力学响应函数考虑了额外的时间延迟,并且为每个体素估计了最佳延迟。为了测量灰质中的 CVR,将吸气末 BH 的 BOLD 信号用作广义线性模型中的回归量,以量化它们对 CVR 的影响。这是针对区域和体素来完成的。在三种吸气末呼吸率之间观察到了系统差异。最快呼吸时的激活强度增加最大,其次是自我调节呼吸和缓慢呼吸。我们得出结论,具有可变呼吸率的 BH 任务允许进行 CVR 测量,从而使屏气挑战更加灵活,更适合常规实践。