While it is well established that cortical morphology differs in relation to a variety of inter-individual factors, it is often characterized using estimates of volume, thickness, surface area, or gyrification. Here we developed a computational approach for estimating sulcal width and depth that relies on cortical surface reconstructions output by FreeSurfer. While other approaches for estimating sulcal morphology exist, studies often require the use of multiple brain morphology programs that have been shown to differ in their approaches to localize sulcal landmarks, yielding morphological estimates based on inconsistent boundaries. To demonstrate the approach, sulcal morphology was estimated in three large sample of adults across the lifespan, in relation to aging. A fourth sample is additionally used to estimate test–retest reliability of the approach. This toolbox is now made freely available as supplemental to this paper: https://cmadan.github.io/calcSulc/ .

中文翻译：

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可靠地估计龈沟形态。

众所周知，皮层形态在各种个体间因素上是不同的，但通常使用体积，厚度，表面积或回旋度的估算来表征。在这里，我们开发了一种计算方法，该方法依靠FreeSurfer输出的皮层表面重建来估计沟宽和深度。尽管存在其他估计沟渠形态的方法，但研究通常需要使用多种脑部形态程序，这些程序已被证明在定位沟渠界标的方法上存在差异，从而基于不一致的边界产生了形态估计。为了证明这种方法，在寿命的三个大样本成年人中估计了与衰老有关的沟形态。另外，还使用第四个样本来评估该方法的重测可靠性。现在可以免费使用此工具箱作为本文的补充：https://cmadan.github.io/calcSulc/。