Van Essen David C
Department of Anatomy and Neurobiology, Washington University School of Medicine, 660 S. Euclid Ave., Box 8108, St. Louis, MO 63110, USA.
Neuroimage. 2005 Nov 15;28(3):635-62. doi: 10.1016/j.neuroimage.2005.06.058. Epub 2005 Sep 19.
This report describes a new electronic atlas of human cerebral cortex that provides a substrate for a wide variety of brain-mapping analyses. The Population-Average, Landmark- and Surface-based (PALS) atlas approach involves surface-based and volume-based representations of cortical shape, each available as population averages and as individual subject data. The specific PALS-B12 atlas introduced here is derived from structural MRI volumes of 12 normal young adults. Accurate cortical surface reconstructions were generated for each hemisphere, and the surfaces were inflated, flattened, and mapped to standard spherical configurations using SureFit and Caret software. A target atlas sphere was generated by averaging selected landmark contours from each of the 24 contributing hemispheres. Each individual hemisphere was deformed to this target using landmark-constrained surface registration. The utility of the resultant PALS-B12 atlas was demonstrated using a variety of analyses. (i) Probabilistic maps of sulcal identity were generated using both surface-based registration (SBR) and conventional volume-based registration (VBR). The SBR approach achieved markedly better consistency of sulcal alignment than did VBR. (ii) A method is introduced for 'multi-fiducial mapping' of volume-averaged group data (e.g., fMRI data, probabilistic architectonic maps) onto each individual hemisphere in the atlas, followed by spatial averaging across the individual maps. This yielded a population-average surface representation that circumvents the biases inherent in choosing any single hemisphere as a target. (iii) Surface-based and volume-based morphometry applied to maps of sulcal depth and sulcal identity demonstrated prominent left-right asymmetries in and near the superior temporal sulcus and Sylvian fissure. Moreover, shape variability in the temporal lobe is significantly greater in the left than the right hemisphere. The PALS-B12 atlas has been registered to other surface-based atlases to facilitate interchange of data and comparison across atlases. All data sets in the PALS-B12 atlas are accessible via the SumsDB database for online and offline visualization and analysis.
本报告描述了一种新的人类大脑皮层电子图谱,它为各种脑图谱分析提供了基础。基于群体平均、地标和表面的(PALS)图谱方法涉及皮层形状的基于表面和基于体积的表示,每种表示都有群体平均值和个体受试者数据两种形式。这里介绍的特定PALS - B12图谱源自12名正常年轻成年人的结构MRI体积数据。为每个半球生成了精确的皮层表面重建,然后使用SureFit和Caret软件对表面进行膨胀、扁平化处理,并映射到标准球形配置。通过对24个参与半球中每个半球的选定地标轮廓进行平均,生成了一个目标图谱球体。每个个体半球通过地标约束表面配准变形为该目标。通过各种分析证明了所得PALS - B12图谱的实用性。(i)使用基于表面的配准(SBR)和传统的基于体积的配准(VBR)生成了脑沟识别概率图谱。SBR方法在脑沟对齐方面比VBR方法具有明显更好的一致性。(ii)引入了一种方法,用于将体积平均组数据(例如功能磁共振成像数据、概率性神经结构图谱)“多基准映射”到图谱中的每个个体半球上,然后对各个图谱进行空间平均。这产生了一个群体平均表面表示,避免了选择任何单个半球作为目标时固有的偏差。(iii)将基于表面和基于体积的形态测量学应用于脑沟深度和脑沟识别图谱,结果显示颞上沟和外侧裂及其附近存在明显的左右不对称性。此外,左半球颞叶的形状变异性明显大于右半球。PALS - B12图谱已与其他基于表面的图谱进行配准,以促进数据交换和跨图谱比较。PALS - B12图谱中的所有数据集均可通过SumsDB数据库访问,用于在线和离线可视化及分析。