Makris Nikos, Kaiser Jonathan, Haselgrove Christian, Seidman Larry J, Biederman Joseph, Boriel Denise, Valera Eve M, Papadimitriou George M, Fischl Bruce, Caviness Verne S, Kennedy David N
Center for Morphometric Analysis, MGH-East, 149 13th Street, Charlestown, MA 02129, USA.
Neuroimage. 2006 Oct 15;33(1):139-53. doi: 10.1016/j.neuroimage.2006.04.220. Epub 2006 Aug 22.
We describe an MRI-based system for topological analysis followed by measurements of topographic features for the human cerebral cortex that takes as its starting point volumetric segmentation data. This permits interoperation between volume-based and surface-based topographic analysis and extends the functionality of many existing segmentation schemes. We demonstrate the utility of these operations in individual as well as to group analysis. The methodology integrates analyses of cortical segmentation data generated by manual and semi-automated volumetric morphometry routines (such as the program cardviews) with the procedures of the FreeSurfer program to generate a cortical ribbon of the cerebrum and perform cortical topographic measurements (including thickness, surface area and curvature) in individual subjects as well as in subject populations. This system allows the computation of topographical cortical measurements for segmentation data generated from manual and semi-automated volumetric sources other than FreeSurfer. These measurements can be regionally specific and integrated with systems of cortical parcellation that subdivides the neocortex into gyral-based parcellation units (PUs). This system of topographical analysis of the cerebral cortex is consistent with current views of cortical development and neural systems organization of the human and non-human primate brain.
我们描述了一种基于磁共振成像（MRI）的系统，用于对人类大脑皮层进行拓扑分析，随后测量地形特征，该系统以体积分割数据为起点。这允许基于体积和基于表面的地形分析之间进行互操作，并扩展了许多现有分割方案的功能。我们展示了这些操作在个体分析以及群体分析中的实用性。该方法将手动和半自动体积形态测量程序（如程序cardviews）生成的皮质分割数据的分析与FreeSurfer程序的过程相结合，以生成大脑的皮质带，并在个体受试者以及受试者群体中进行皮质地形测量（包括厚度、表面积和曲率）。该系统允许对除FreeSurfer之外的手动和半自动体积源生成的分割数据进行地形皮质测量。这些测量可以是区域特异性的，并与将新皮层细分为基于脑回的分割单元（PU）的皮质分割系统相结合。这种大脑皮层地形分析系统与当前关于人类和非人类灵长类动物大脑皮层发育和神经系统组织的观点一致。
