Buchbinder Bradley R
Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Handb Clin Neurol. 2016;135:61-92. doi: 10.1016/B978-0-444-53485-9.00004-0.
Functional magnetic resonance imaging (fMRI) maps the spatiotemporal distribution of neural activity in the brain under varying cognitive conditions. Since its inception in 1991, blood oxygen level-dependent (BOLD) fMRI has rapidly become a vital methodology in basic and applied neuroscience research. In the clinical realm, it has become an established tool for presurgical functional brain mapping. This chapter has three principal aims. First, we review key physiologic, biophysical, and methodologic principles that underlie BOLD fMRI, regardless of its particular area of application. These principles inform a nuanced interpretation of the BOLD fMRI signal, along with its neurophysiologic significance and pitfalls. Second, we illustrate the clinical application of task-based fMRI to presurgical motor, language, and memory mapping in patients with lesions near eloquent brain areas. Integration of BOLD fMRI and diffusion tensor white-matter tractography provides a road map for presurgical planning and intraoperative navigation that helps to maximize the extent of lesion resection while minimizing the risk of postoperative neurologic deficits. Finally, we highlight several basic principles of resting-state fMRI and its emerging translational clinical applications. Resting-state fMRI represents an important paradigm shift, focusing attention on functional connectivity within intrinsic cognitive networks.
功能磁共振成像(fMRI)可绘制大脑在不同认知条件下神经活动的时空分布。自1991年问世以来,基于血氧水平依赖(BOLD)的fMRI迅速成为基础神经科学研究和应用神经科学研究中的重要方法。在临床领域,它已成为术前脑功能图谱绘制的既定工具。本章有三个主要目标。首先,我们回顾构成BOLD fMRI基础的关键生理、生物物理和方法学原理,无论其具体应用领域如何。这些原理有助于对BOLD fMRI信号进行细致入微的解读,以及理解其神经生理学意义和陷阱。其次,我们举例说明基于任务的fMRI在有明确脑区附近病变患者的术前运动、语言和记忆图谱绘制中的临床应用。将BOLD fMRI与扩散张量白质纤维束成像相结合,可为术前规划和术中导航提供路线图,有助于在最大程度切除病变的同时,将术后神经功能缺损的风险降至最低。最后,我们强调静息态fMRI的几个基本原则及其新兴的转化临床应用。静息态fMRI代表了一个重要的范式转变,将注意力集中在内在认知网络中的功能连接上。