摘要
目的 应用事件相关功能磁共振成像 (fMRI)技术 ,探讨手指运动时人脑功能活动区的协同作用。方法 选取 44名健康受试者 ,应用信息提示 执行 (CUE GO)行为模式 ,成像应用GESignaIorizon 1.5T磁共振系统 ,所获数据在SUN与SGI工作站进行处理。结果 对侧初级运动皮层 (M1) ,双侧辅助运动区 (SMA)、运动前区 (PMA)、基底节及小脑皮质等区域有明显激活。其中M1区时间 信号强度曲线呈典型单峰曲线 ;PMA、基底节、小脑皮质区的时间 信号强度曲线为双峰曲线。SMA又分为 2个区 ,为位于前方的辅助运动前区 (Pre SMA)和后方固有区 (SMAProper)。Pre SMA为双峰曲线 ,SMAProper则为单峰曲线。各脑区的时间 信号强度曲线不完全相同。结论 (1)M1区为运动执行区 ;而其他脑区则参与运动准备及运动执行 ,且各脑区在其功能上有一定差异。 (2 )SMA、PMA、基底节及小脑皮质均为双侧激活 ,与传统理论略有差异。 (3)事件相关fMRI技术具有较高的时间分辨率和空间分辨率。 (4 )脑内不同脑区、基底节及小脑间其功能活动具有协同作用。
Objective To detect the cooperation of the functional activation areas in human brain using event-related fMRI technique developed in recent years. Methods Forty-four subjects were selected in this experiment and scanned by GE Signa Horizon 1.5 Tesla superconductive MR system. A CUE-GO paradigm was used in this experiment. The data were analyzed in SUN and SGI workstation. Results The activation areas were found in contralateral primary motor area(M1),bilateral supplementary motor areas(SMA),premotor areas(PMA),basal ganglia, and cerebellar cortices. The time-signal curve of M1 was a typical single-peak curve, but the curves in PMA, basal ganglia, and cerebellar cortices were double-peak curves. SMA had 2 parts, one was Pre-SMA, and another was SMA Proper. The curve was double-peak type in Pre-SMA and single-peak type in SMA Proper. There was difference between the time-signal intensity curves in above-mentioned areas. Conclusion (1)M1 is mainly associated with motor execution, while others with both motor preparation and execution. There are differences in the function at the variant areas in the brain. (2)The fact that bilateral SMA, PMA, basal ganglia, and cerebellar cortices were activated,is different from what the classical theories told. (3)Event-related fMRI technique has higher temporary and spatial resolutions. (4)There is cooperation among different cortical areas, basal ganglia, and cerebellum.
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2002年第5期397-401,共5页
Chinese Journal of Radiology
基金
国家自然科学基金项目 ( 6 99310 10
39770 2 94)
北京<跨世纪优秀人才工程>专项基金