Center for Functional Magnetic Resonance Imaging, University of California San Diego, 9500 Gilman Drive, MC 0677, La Jolla, CA 92093-0677, USA.
Neuroimage. 2013 Oct 15;80:339-48. doi: 10.1016/j.neuroimage.2013.04.071. Epub 2013 May 1.
There has been growing interest in the use of resting-state functional magnetic resonance imaging (rsfMRI) for the assessment of disease and treatment, and a number of studies have reported significant disease-related changes in resting-state blood oxygenation level dependent (BOLD) signal amplitude and functional connectivity. rsfMRI is particularly suitable for clinical applications because the approach does not require the patient to perform a task and scans can be obtained in a relatively short amount of time. However, the mechanisms underlying resting-state BOLD activity are not well understood and thus the interpretation of changes in resting state activity is not always straightforward. The BOLD signal represents the hemodynamic response to neural activity, and changes in resting-state activity can reflect a complex combination of neural, vascular, and metabolic factors. This paper examines the role of neurovascular factors in rsfMRI and reviews approaches for the interpretation and analysis of resting state measures in the presence of confounding factors.
人们对利用静息态功能磁共振成像(rsfMRI)评估疾病和治疗越来越感兴趣,许多研究报告了静息态血氧水平依赖(BOLD)信号幅度和功能连接的显著疾病相关变化。rsfMRI 特别适用于临床应用,因为该方法不需要患者执行任务,并且可以在相对较短的时间内获得扫描。然而,静息态 BOLD 活动的机制尚不清楚,因此静息态活动变化的解释并不总是直接的。BOLD 信号代表神经活动的血液动力学反应,静息态活动的变化可以反映神经、血管和代谢因素的复杂组合。本文探讨了神经血管因素在 rsfMRI 中的作用,并回顾了在存在混杂因素时解释和分析静息态测量的方法。