Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
NMR Biomed. 2013 Aug;26(8):987-1003. doi: 10.1002/nbm.2847. Epub 2012 Sep 4.
The dynamics of the blood oxygenation level-dependent (BOLD) response are dependent on changes in cerebral blood flow, cerebral blood volume and the cerebral metabolic rate of oxygen consumption. Furthermore, the amplitude of the response is dependent on the baseline physiological state, defined by the haematocrit, oxygen extraction fraction and cerebral blood volume. As a result of this complex dependence, the accurate interpretation of BOLD data and robust intersubject comparisons when the baseline physiology is varied are difficult. The calibrated BOLD technique was developed to address these issues. However, the methodology is complex and its full promise has not yet been realised. In this review, the theoretical underpinnings of calibrated BOLD, and issues regarding this theory that are still to be resolved, are discussed. Important aspects of practical implementation are reviewed and reported applications of this methodology are presented.
血氧水平依赖(BOLD)反应的动力学取决于脑血流、脑血容量和脑氧代谢率的变化。此外,响应的幅度取决于基线生理状态,由血细胞比容、氧提取分数和脑血容量定义。由于这种复杂的依赖性,当基线生理学发生变化时,准确解释 BOLD 数据和稳健的受试者间比较是困难的。校准的 BOLD 技术就是为了解决这些问题而开发的。然而,该方法较为复杂,其全部潜力尚未得到充分实现。在这篇综述中,讨论了校准 BOLD 的理论基础,以及该理论仍需解决的问题。还回顾了实际实施的重要方面,并介绍了该方法的应用。