磁共振成像2011，Vol.2Issue(4)：252-259,8.DOI:10.3969/j.issn.1674-8034.2011.04.003
功能磁共振成像在多发性硬化中的应用进展
Advancement of functional MR imaging in multiple sclerosis
摘要
Abstract
One of the important clinical manifestations of multiple sclerosis (MS) is cognitive dysfunction. There is increasing evidence that the degree of cognitive dysfunction does not simply depend on the extent of tissue destruction, but rather represents a complex balance among tissue damage, tissue repair, and cortical reorganization in patients with MS. Functional magnetic resonance imaging (fMRI) and resting-state fMRI provides information regarding the extent and nature of neuroplasticity, which may contribute to the maintenance of normal performance despite scattered brain lesions. An altered recruitment of regions normally devoted to the performance of a given task and/or the recruitment of additional areas, which are not typically activated by healthy people for performing that given task, have been described in patients with MS, independent of their clinical phenotype when investigating the visual, cognitive, and motor systems. These functional changes have been related to the extent and severity of brain damage within and outside T2-visible lesions on conventional MR imaging and to the involvement of specific central nervous system (CNS) structures, including the spinal cord and the optic nerve. Brain functional changes have been shown to be dynamic over time, not only after an acute relapse, but also in clinically stable patients. This review will focus on the contribution of task functional MR imaging and resting-state functional MR imaging techniques in the evaluation of MS and provide an overview of functional MR imaging techniques with regard to current findings, clinical correlations, and future directions.关键词
多发性硬化/功能磁共振成像/认知障碍/静息态/中枢神经系统Key words
Multiple sclerosis/Functional MR imaging/Cognitive dysfunction/Restingstate/Central nervous system分类
医药卫生引用本文复制引用
周福庆,Chi Shing Zee..功能磁共振成像在多发性硬化中的应用进展[J].磁共振成像,2011,2(4):252-259,8.基金项目
This work was supported by grants NSFC:81060116 from the National Nature Science Foundation of China and No.HS-09-00206 from University of Southern California. （）
