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Estimation of voxel-wise dynamic cerebrovascular reactivity curves from resting-state fMRI data

机译:恢复状态FMRI数据估算体素 - 明智的动态脑血管反应性曲线

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In this work, we investigate the linear dynamic interactions between fluctuations in arterial CO2 that occur during normal breathing, and the BOLD fMRI signal. We cast this problem within a systems-theoretic framework, where we employ functional expansions for the estimation of the impulse responses in large regions of interest, as well as in individual voxels. We also implement classification schemes in order to identify different brain regions with similar cerebrovascular reactivity characteristics. Our results reveal that it is feasible to obtain reliable estimates of cerebrovascular reactivity curves from resting-state data and that these curves exhibit considerable variability across different brain regions that may be related to the underlying anatomy.
机译:在这项工作中,我们研究了在正常呼吸期间发生的动脉CO2中波动之间的线性动态相互作用,以及粗体信号。我们在系统 - 理论框架内施以这个问题,在那里我们使用功能扩展,用于估计大量兴趣区域中的脉冲响应,以及个体体素。我们还实施分类方案,以识别具有相似脑血管反应性特征的不同脑区。我们的研究结果表明,获得从休息状态数据获得可靠的脑血管反应性曲线的可靠估计,并且这些曲线在不同的脑区域上表现出相当大的变异性,这些脑区可能与潜在的解剖结构有关。

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