Oh Jungsu S, Suk Park Kwang, Chan Song In, Ju Kim Seog, Hwang Jaeuk, Chung Ain, Kyoon Lyoo In
Interdisciplinary Program of Medical and Biological Engineering, Department of Biomedical Engineering, Seoul National University, South Korea.
Neuroreport. 2005 Mar 15;16(4):317-20. doi: 10.1097/00001756-200503150-00002.
The authors first divided the midsagittal corpus callosum of 22 healthy volunteers using three different subdivision methods: Witelson's geometric subdivision, boundary model-based subdivision, and medial model-based subdivision. Next, subdivisions of the corpus callosum were clustered on the basis of homogeneity of the fractional anisotropy values as produced from diffusion tensor images. Nine subregions of corpus callosum, similar in location and size, were successfully clustered when medial model-based or boundary model-based subdivisions were applied. These nine subregions of the corpus callosum were different from the seven subregions defined by Witelson's geometric subdivision, especially at the anterior and posterior tips of the corpus callosum. Our method of corpus callosum division can be potentially utilized to assess structural changes in the midsagittal corpus callosum.
作者首先使用三种不同的细分方法对22名健康志愿者的胼胝体矢状中部进行了划分:维特尔森几何细分法、基于边界模型的细分法和基于内侧模型的细分法。接下来,根据扩散张量图像产生的各向异性分数值的同质性,对胼胝体的细分区域进行聚类。当应用基于内侧模型或基于边界模型的细分方法时,成功聚类出了九个位置和大小相似的胼胝体亚区域。胼胝体的这九个亚区域与维特尔森几何细分法定义的七个亚区域不同,尤其是在胼胝体的前后端。我们的胼胝体划分方法有可能用于评估矢状中部胼胝体的结构变化。