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作 者:伊慧明[1,2] 杨明铭[1] 孟亮亮[1] 张敬[1]
机构地区:[1]天津医科大学总医院放射科,300052 [2]中国医学科学院血液病医院放射科
出 处:《国际医学放射学杂志》2011年第5期409-412,417,共5页International Journal of Medical Radiology
基 金:天津市自然科学基金(09JCYBJC11500)
摘 要:目的探讨种子点的选择对静息态fMRI确定双手运动相关脑区的影响。方法对31例(男15例,女16例)健康被试者行组块设计的双手运动和静息态fMRI扫描。采用DPARSFV2.0软件和SPM8软件进行数据处理,选取任务状态下各独立激活簇的最大激活点为种子点,分别计算静息状态下全脑功能连接图,计算静息状态下各功能连接图与任务状态激活图之间的空间相关系数。结果任务状态下得到15个独立的激活脑区,进而生成15个种子点,其中辅助运动区(SMA)为种子点的功能连接图与任务状态激活图空间分布一致性最强,空间相关系数最大;以初级运动皮质(M1区)及背侧前运动皮质(PMd)为种子点的功能连接图包括双侧M1区及SMA;以腹侧前运动皮质(PMv)为种子点所得功能连接图主要为PMv和PMd;以壳核(Pu)、丘脑(Th)、小脑前叶(CbAL)、小脑后叶(CbPL)为种子点所得功能连接图主要为种子点周围及其镜像脑区。结论静息状态下,以SMA为种子点能获得与手运动任务激活图有较好一致性的功能连接图,以M1及PMd为种子点能较好显示M1区。Objective To investigate the effect of different seed points selection on localizing bilateral hand motor associated areas in resting state functional magnetic resonance. Methods Thirty-one subjects were recruited (male 15 , female 16), all of them underwent both block-designed fMRI scan during performing bilateral hand motor task and resting-state fMRI scan. DPARSA V2.0 and SPM8 were used to process the data. The peak voxels in the activity map of the task scan were selected as seeds to compute functional connectivity map of the resting-state scan. Spatial correlation analysis was performed to compare the activity map of the task scan and the connectivity map of the restingstate scan. Results Fifteen isolated clusters were picked to generate the peak voxels, which were selected as seeds to compute functional connectivity maps. Among all the functional connectivity maps, those generated by motor area(SMA) presented the most consistent spatial distribution with task associated activity map, and the functional connectivity maps generated by primary motor cortex (M1) and dorsal premotor cortex (PMd) consisted of bilateral M1 and SMA, the functional connectivity maps generated by putamen (Pu), thalamus (Th), cerebellum anterior lobe (CbAL) and cerebellum posterior lobe (CbPL) consisted of the areas around the seeds and the mirror areas in the contralateral cortex. Conclusion Using SMA as seed to compute resting-state functional connectivity map may produce the best spatial coherence with the activity map generated by bilateral hand motor task, and selecting M1 and PMd as seeds may present the best primary motor cortex in the connectivity map.
分 类 号:R338.2[医药卫生—人体生理学]
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