Systematic cortical thickness and curvature patterns in primates.
Systematic cortical thickness and curvature patterns in primates.
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DOI：
10.1016/j.neuroimage.2023.120283
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发表时间：
2023-09
期刊：
影响因子：
5.7
通讯作者：
Holland, Maria A.
中科院分区：
文献类型：
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作者：
Demirci, Nagehan;Hoffman, Mia E.;Holland, Maria A.
众所周知，人类在整个大脑皮层的厚度上存在显著而一致的差异，外脑回褶皱厚，内脑沟褶皱薄。我们之前的工作已经提出了这种厚度模式的机械基础，在皮层折叠过程中产生的力导致脑回变厚和脑沟变薄，并表明人类皮层厚度沿脑回-脑沟谱变化。虽然其他灵长类动物也会表现出类似的皮质厚度模式，但目前尚不清楚这些模式是如何在不同的大小、形状和折叠性中扩展的。在灵长类动物中，大脑的大小差别很大，从葡萄大小到葡萄柚大小，从近乎光滑到褶皱明显；在这些大脑中，人类的大脑是最大的，也是折叠最多的。这些大小和形态上的差异使比较神经解剖学成为研究超越物种差异的共同趋势的丰富资源。在这项研究中，我们研究了12种灵长类动物，以涵盖广泛的大小和形态，并研究了它们的皮层厚度相对于表面几何形状的缩放。选择这12个物种是由于重建表面和/或种群模板的公开可用性。在从公开可用的神经成像数据中获得或重建3D表面后，我们使用基于表面的计算管道（https://github.com/mholla/curveball）来分析皮层厚度和折叠的模式，包括尺寸（总表面积）、几何形状（即曲率、形状和沟深）和折叠性（回转）。在所有12个物种中，我们发现沿回沟谱的皮质厚度变化一致，凸形比凹形厚，鞍形介于两者之间。此外，我们发现脑回和脑沟之间的厚度差异随着大脑体积的增大而增大。我们的研究结果表明，局部皮质厚度与几何形状有系统的折叠机制。最后，我们所有的重建表面和形态测量数据可用于比较神经解剖学的未来研究。
Humans are known to have significant and consistent differences in thickness throughout the cortex, with thick outer gyral folds and thin inner sulcal folds. Our previous work has suggested a mechanical basis for this thickness pattern, with the forces generated during cortical folding leading to thick gyri and thin sulci, and shown that cortical thickness varies along a gyral–sulcal spectrum in humans. While other primate species are expected to exhibit similar patterns of cortical thickness, it is currently unknown how these patterns scale across different sizes, forms, and foldedness. Among primates, brains vary enormously from roughly the size of a grape to the size of a grapefruit, and from nearly smooth to dramatically folded; of these, human brains are the largest and most folded. These variations in size and form make comparative neuroanatomy a rich resource for investigating common trends that transcend differences between species. In this study, we examine 12 primate species in order to cover a wide range of sizes and forms, and investigate the scaling of their cortical thickness relative to the surface geometry. The 12 species were selected due to the public availability of either reconstructed surfaces and/or population templates. After obtaining or reconstructing 3D surfaces from publicly available neuroimaging data, we used our surface-based computational pipeline (https://github.com/mholla/curveball) to analyze patterns of cortical thickness and folding with respect to size (total surface area), geometry (i.e. curvature, shape, and sulcal depth), and foldedness (gyrification). In all 12 species, we found consistent cortical thickness variations along a gyral–sulcal spectrum, with convex shapes thicker than concave shapes and saddle shapes in between. Furthermore, we saw an increasing thickness difference between gyri and sulci as brain size increases. Our results suggest a systematic folding mechanism relating local cortical thickness to geometry. Finally, all of our reconstructed surfaces and morphometry data are available for future research in comparative neuroanatomy.
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影响因子：
5.7
作者：
Autio JA;Zhu Q;Li X;Glasser MF;Schwiedrzik CM;Fair DA;Zimmermann J;Yacoub E;Menon RS;Van Essen DC;Hayashi T;Russ B;Vanduffel W
通讯作者：
Vanduffel W
DOI：
10.1098/rspb.2020.2987
发表时间：
2021-02-10
影响因子：
4.7
作者：
Charvet, Christine J.
通讯作者：
Charvet, Christine J.
影响因子：
3
作者：
Cardinale, Francesco;Chinnici, Giuseppa;Ferrigno, Giancarlo
通讯作者：
Ferrigno, Giancarlo
影响因子：
3.7
作者：
Amlien, Inge K.;Fjell, Anders M.;Walhovd, Kristine B.
通讯作者：
Walhovd, Kristine B.
DOI：
10.1093/cercor/bhab384
发表时间：
2022-06-16
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
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作者：
通讯作者：
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