Guye Maxime, Parker Geoffrey J M, Symms Mark, Boulby Philip, Wheeler-Kingshott Claudia A M, Salek-Haddadi Afraim, Barker Gareth J, Duncan John S
The National Society of Epilepsy MRI Unit, Department of Clinical and Experimental Epilepsy, University College London, London, UK.
Neuroimage. 2003 Aug;19(4):1349-60. doi: 10.1016/s1053-8119(03)00165-4.
In this study, we combined advanced MR techniques to explore primary motor cortex (M1) 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 1 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 M1 to the pyramidal tracts, premotor areas, parietal cortices, thalamus, and cerebellum. M1 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.
在本研究中,我们结合先进的磁共振技术来探索人类大脑初级运动皮层(M1)的连接性。我们使用运动功能磁共振成像(fMRI)以及从扩散张量成像(DTI)推断出的白质纤维束成像来匹配功能和解剖学信息。我们对8名右利手健康受试者和1名患有左侧中央前回肿瘤的右利手患者进行了DTI与运动任务fMRI的配准。我们使用快速行进纤维束成像(FMT)算法,从在与fMRI激活最大值位置相邻的白质中选择的种子点来定义全脑内的三维连接图谱。然后对连接图谱进行解剖学标准化,并使用统计参数映射软件(SPM99)进行分析,以进行组间比较(对照组中左半球与右半球以及患者与对照组)。结果表明,在所有对照组受试者中,从M1到锥体束、运动前区、顶叶皮层、丘脑和小脑存在强连接。M1连接性是不对称的,在优势半球更广泛。该患者与对照组在M1连接性方面存在差异。因此,fMRI相关的DTI - FMT是一种有前景的工具,可用于在体内研究人类大脑功能网络的结构基础。