Centre de recherche CERVO Research Centre, 2601, de la Canardière, Québec, Canada G1J 2G3.
Centre de recherche CERVO Research Centre, 2601, de la Canardière, Québec, Canada G1J 2G3; Département de radiologie, Faculté de médecine, Université Laval, 1050, avenue de la Médecine, Québec, Canada G1V 0A6.
Neuroimage. 2017 Aug 1;156:43-64. doi: 10.1016/j.neuroimage.2017.04.035. Epub 2017 May 4.
We recently built normative data for FreeSurfer morphometric estimates of cortical regions using its default atlas parcellation (Desikan-Killiany or DK) according to individual and scanner characteristics. We aimed to produced similar normative values for Desikan-Killianny-Tourville (DKT) and ex vivo-based labeling protocols, as well as examine the differences between these three atlases. Surfaces, thicknesses, and volumes of cortical regions were produced using cross-sectional magnetic resonance scans from the same 2713 healthy individuals aged 18-94 years as used in the reported DK norms. Models predicting regional cortical estimates of each hemisphere were produced using age, sex, estimated intracranial volume (eTIV), scanner manufacturer and magnetic field strength (MFS) as predictors. The DKT and DK models generally included the same predictors and produced similar R. Comparison between DK, DKT, ex vivo atlases normative cortical measures showed that the three protocols generally produced similar normative values.
我们最近根据个体和扫描仪的特点，使用 FreeSurfer 的默认图谱分割（Desikan-Killiany 或 DK）为皮质区域的形态计量估计值建立了规范数据。我们的目标是为 Desikan-Killiany-Tourville（DKT）和基于离体的标记协议生成类似的规范值，并检查这三个图谱之间的差异。使用来自相同的 2713 名年龄在 18-94 岁的健康个体的横截面磁共振扫描生成皮质区域的表面、厚度和体积。使用年龄、性别、估计的颅内体积（eTIV）、扫描仪制造商和磁场强度（MFS）作为预测因子，为每个半球的区域皮质估计值生成模型。DKT 和 DK 模型通常包含相同的预测因子，并产生相似的 R 值。比较 DK、DKT 和离体图谱的规范皮质测量值表明，这三个方案通常产生相似的规范值。
