Combined functional MRI and tractography to demonstrate the connectivity of the human primary motor cortex in vivo

Combined functional MRI and tractography to demonstrate the connectivity of the human primary motor cortex in vivo
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DOI:
10.1016/s1053-8119(03)00165-4
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发表时间:
2003-08-01
期刊:
影响因子:
5.7
通讯作者:
Duncan, JS
Duncan, JS
中科院分区:
医学1区
文献类型:
--
作者:
Guye, M;Parker, GJM;Duncan, JS

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在这项研究中,我们结合先进的MR技术,探讨初级运动皮层(MI)在人脑中的连接。我们使用运动功能磁共振成像(fMRI)和从扩散张量成像(DTI)推断的白色纤维束成像来匹配功能和解剖信息。我们在8名右利手健康受试者和1名右利手左中央前区肿瘤患者中进行了共配准DTI和运动任务fMRI。我们使用快速行进纤维束成像(FMT)算法来定义全脑内的3D连接图,从邻近fMRI最大激活位置的白色物质中选择种子点。然后将连接图进行解剖学标准化,并使用统计参数映射软件(SPM 99)进行分析,以进行组间比较(对照受试者的左半球与右半球以及患者与对照受试者)。结果表明,在所有的对照组,从MI到锥体束,运动前区,顶叶皮质,丘脑和小脑的强连接。MI连接是不对称的,更广泛的优势半球。患者的M1连接与对照组存在差异。因此,fMRI相关的DTI-FMT是一个很有前途的工具,研究在体内的人脑功能网络的结构基础。(C)2003 Elsevier Science(美国)。All rights reserved.
In this study, we combined advanced MR techniques to explore primary motor cortex (M I) connectivity in the human brain. We matched functional and anatomical information using motor functional MRI (fMRI) and white matter tractography inferred from diffusion tensor imaging (DTI). We performed coregistered DTI and motor task fMRI in 8 right-handed healthy subjects and in I right-handed patient presenting with a left precentral tumour. We used the fast-marching tractography (FMT) algorithm to define 3D connectivity maps within the whole brain, from seed points selected in the white matter adjacent to the location of the maximum of fMRI activation. Connectivity maps were then anatomically normalised and analysed using statistical parametric mapping software (SPM99) allowing group comparisons (left versus right hemisphere in control subjects and patient versus control subjects). The results demonstrated, in all control subjects, strong connections from M I to the pyramidal tracts, premotor areas, parietal cortices, thalamus, and cerebellum. M I connectivity was asymmetric, being more extensive in the dominant hemisphere. The patient had differences in M1 connectivity from the control group. Thus, fMRI-correlated DTI-FMT is a promising tool to study the structural basis of functional networks in the human brain in vivo. (C) 2003 Elsevier Science (USA). All rights reserved.