BOLD signal physiology: Models and applications
BOLD signal physiology: Models and applications
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DOI：
10.1016/j.neuroimage.2018.03.018
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发表时间：
2019-02-15
期刊：
影响因子：
5.7
通讯作者：
Fan, A. P.
中科院分区：
文献类型：
--
作者：
Gauthier, C. J.;Fan, A. P.
BOLD对比机制与脑功能活动、氧代谢和神经血管因素有着复杂的关系。为神经科学和临床应用准确解释BOLD信号，必须清楚地了解BOLD对比的来源及其与潜在生理学的关系。这篇综述描述了BOLD信号的生理成分，以及稳态校准的BOLD模型，该模型能够通过单独的挑战范式量化功能变化。从这些生物物理模型中得出的原理随后被用于解释不同神经系统疾病中与疾病相关的混杂血管因素的BOLD测量结果。
The BOLD contrast mechanism has a complex relationship with functional brain activity, oxygen metabolism, and neurovascular factors. Accurate interpretation of the BOLD signal for neuroscience and clinical applications necessitates a clear understanding of the sources of BOLD contrast and its relationship to underlying physiology. This review describes the physiological components that contribute to the BOLD signal and the steady-state calibrated BOLD models that enable quantification of functional changes with a separate challenge paradigm. The principles derived from these biophysical models are then used to interpret BOLD measurements in different neurological disorders in the presence of confounding vascular factors related to disease.