Department of Radiology, Stanford University, Lucas MRI Center, Stanford, CA 94305-5488, USA.
Neurosurg Clin N Am. 2011 Apr;22(2):133-9, vii. doi: 10.1016/j.nec.2010.11.001.
Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging (fMRI) depicts changes in deoxyhemoglobin concentration consequent to task-induced or spontaneous modulation of neural metabolism. Since its inception in 1990, this method has been widely employed in thousands of studies of cognition for clinical applications such as surgical planning, for monitoring treatment outcomes, and as a biomarker in pharmacologic and training programs. More recently, attention is turning to the use of pattern classification and other statistical methods to draw increasingly complex inferences about cognitive brain states from fMRI data. This article reviews the methods, challenges, and future of fMRI.
血氧水平依赖 (BOLD) 功能磁共振成像 (fMRI) 描绘了由于任务诱导或自发的神经代谢调节而导致的脱氧血红蛋白浓度的变化。自 1990 年问世以来,该方法已被广泛应用于数千项认知研究中,用于临床应用,如手术规划、监测治疗效果,以及作为药物和训练计划中的生物标志物。最近,人们越来越关注使用模式分类和其他统计方法,从 fMRI 数据中对认知脑状态进行越来越复杂的推断。本文综述了 fMRI 的方法、挑战和未来。