Cogn Neurodyn. 2010 Dec;4(4):275-94. doi: 10.1007/s11571-010-9126-9. Epub 2010 Aug 3.
As functional magnetic resonance imaging (fMRI) studies have yielded increasing amounts of information about the brain's spontaneous activity, they have revealed fMRI's potential to locate changes in brain hemodynamics that are associated with neuropsychiatric disorders. In this paper, we review studies that support the notion that changes in brain spontaneous activity observed by fMRI can be used as potential biomarkers for diagnosis and treatment evaluation in neuropsychiatric disorders. We first review the methods used to study spontaneous activity from the perspectives of (1) the properties of local spontaneous activity, (2) the spatial pattern of spontaneous activity, and (3) the topological properties of brain networks. We also summarize the major findings associated with major neuropsychiatric disorders obtained using these methods. Then we review the pilot studies that have used spontaneous activity to discriminate patients from normal controls. Finally, we discuss current challenges and potential research directions to further elucidate the clinical use of spontaneous brain activity in neuropsychiatric disorders.
随着功能磁共振成像(fMRI)研究提供了越来越多关于大脑自发性活动的信息,它们揭示了 fMRI 定位与神经精神障碍相关的脑血液动力学变化的潜力。在本文中,我们回顾了支持以下观点的研究:通过 fMRI 观察到的大脑自发性活动的变化可用作神经精神障碍诊断和治疗评估的潜在生物标志物。我们首先从以下三个方面回顾了研究自发性活动的方法:(1)局部自发性活动的特性;(2)自发性活动的空间模式;(3)脑网络的拓扑特性。我们还总结了使用这些方法获得的与主要神经精神障碍相关的主要发现。然后,我们回顾了使用自发性活动来区分患者和正常对照的初步研究。最后,我们讨论了当前的挑战和潜在的研究方向,以进一步阐明自发性脑活动在神经精神障碍中的临床应用。