灵长类大脑形状普遍分形特征的神经演化证据
Neuro-evolutionary evidence for a universal fractal primate brain shape
AI总结：
本研究发现灵长类及其他哺乳动物大脑皮层形状遵循同一分形维数为2.5的原型分形结构，该多尺度描述能更精确量化大脑形态，并在约2 mm尺度下使衰老效应量提升超四倍，有望生成更优生物标志物。
摘要：
大脑皮层在物种间和物种内展现出令人困惑的形状和大小多样性。尽管存在这种多样性，我们提出了一种对灵长类皮层的普遍多尺度描述。我们表明，所有皮层形状都可以被描述为不同大小的嵌套折叠集合。随着相邻折叠逐渐合并，11个灵长类物种的皮层遵循一个共同的无标度形态测量轨迹，该轨迹也与超过70个其他哺乳动物物种重叠。我们的结果表明，所有大脑皮层都是同一原型分形形状的近似，其分形维数为$d_f=2.5$。重要的是，这种新理解使得能够作为尺度的函数更精确地量化大脑形态。为了证明这种新理解的重要性，我们展示了衰老对大脑形态的尺度依赖性效应。我们观察到，在约2 mm的空间尺度下，与标准形态学分析相比，效应量增加了四倍以上（从2个标准差增加到8个标准差）。因此，我们的新理解未来可能为多种疾病生成更优的生物标志物。
英文摘要：
The cerebral cortex displays a bewildering diversity of shapes and sizes across and within species. Despite this diversity, we present a universal multi-scale description of primate cortices. We show that all cortical shapes can be described as a set of nested folds of different sizes. As neighbouring folds are gradually merged, the cortices of 11 primate species follow a common scale-free morphometric trajectory, that also overlaps with over 70 other mammalian species. Our results indicate that all cerebral cortices are approximations of the same archetypal fractal shape with a fractal dimension of $d_f=2.5$. Importantly, this new understanding enables a more precise quantification of brain morphology as a function of scale. To demonstrate the importance of this new understanding, we show a scale-dependent effect of ageing on brain morphology. We observe a more than four-fold increase in effect size (from 2 standard deviations to 8 standard deviations) at a spatial scale of approximately 2 mm compared to standard morphological analyses. Our new understanding may therefore generate superior biomarkers for a range of conditions in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
