提出一种不受脑尺寸影响的皮层沟深度测量方法，提升研究准确性。
Scale-invariant brain morphometry: application to sulcal depth
- 基于新数学框架，构建尺度不变的沟深度计算方法
- 在1987名受试者中验证，证明新方法更稳定可靠
- 适用于发育到成人的全周期研究，适合神经影像领域学者
人脑皮层几何结构复杂且个体差异大，脑尺寸、皮层折叠和年龄之间的关系已有广泛研究。然而，极少有工作探讨整体脑尺寸如何影响从解剖MRI提取的皮层形态特征。本文聚焦于沟深度这一影像表型，其在基础与临床研究中均受关注。本研究做出四项关键贡献：1）首次对脑尺寸对沟深度测量的影响进行量化分析；2）提出一种新颖的尺度不变沟深度估计方法，基于对问题的原创形式化；3）建立验证框架，并向社区公开代码与基准数据集；4）利用涵盖26周胎龄至成年期的1987名受试者的大样本数据，验证新度量的生物学相关性。
原文摘要 · Abstract (English)
The geometry of the human cortex is complex and highly variable, with interactions between brain size, cortical folding, and age well-documented in the literature. However, few studies have explored how global brain size influences morphometry features of the cortical surface derived from anatomical MRI. In this work, we focus on sulcal depth, an imaging phenotype that has gained attention in both basic research and clinical applications. We make key contributions to the field by: 1) providing the first quantitative analysis of the influence of brain size on sulcal depth measurements; 2) introducing a novel, scale-invariant method for sulcal depth estimation based on an original formalization of the problem; 3) presenting a validation framework and sharing our code and benchmark data with the community; and 4) demonstrating the biological relevance of our new sulcal depth measure using a large sample of 1,987 subjects spanning the developmental period from 26 weeks post-conception to adulthood.
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