Wang Yujiang, Necus Joe, Kaiser Marcus, Mota Bruno
Interdisciplinary Computing and Complex BioSystems, School of Computing Science, Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom;
Institute of Neuroscience, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom.
Proc Natl Acad Sci U S A. 2016 Nov 8;113(45):12820-12825. doi: 10.1073/pnas.1610175113. Epub 2016 Oct 24.
The folding of the cortex in mammalian brains across species has recently been shown to follow a universal scaling law that can be derived from a simple physics model. However, it was yet to be determined whether this law also applies to the morphological diversity of different individuals in a single species, in particular with respect to factors, such as age, sex, and disease. To this end, we derived and investigated the cortical morphology from magnetic resonance images (MRIs) of over 1,000 healthy human subjects from three independent public databases. Our results show that all three MRI datasets follow the scaling law obtained from the comparative neuroanatomical data, which strengthens the case for the existence of a common mechanism for cortical folding. Additionally, for comparable age groups, both male and female brains scale in exactly the same way, despite systematic differences in size and folding. Furthermore, age introduces a systematic shift in the offset of the scaling law. In the model, this shift can be interpreted as changes in the mechanical forces acting on the cortex. We also applied this analysis to a dataset derived from comparable cohorts of Alzheimer's disease patients and healthy subjects of similar age. We show a systematically lower offset and a possible change in the exponent for Alzheimer's disease subjects compared with the control cohort. Finally, we discuss implications of the changes in offset and exponent in the data and relate it to existing literature. We, thus, provide a possible mechanistic link between previously independent observations.
最近研究表明,跨物种的哺乳动物大脑皮层折叠遵循一种通用的缩放定律,该定律可从一个简单的物理模型推导得出。然而,这一定律是否也适用于单一物种中不同个体的形态多样性,特别是在年龄、性别和疾病等因素方面,仍有待确定。为此,我们从三个独立的公共数据库中获取了1000多名健康人类受试者的磁共振成像(MRI)数据,并对其进行了皮层形态学分析。我们的研究结果表明,所有三个MRI数据集均遵循从比较神经解剖学数据中得出的缩放定律,这进一步证明了皮层折叠存在共同机制。此外,对于年龄相当的人群,尽管男性和女性大脑在大小和折叠方式上存在系统性差异,但它们的缩放方式完全相同。此外,年龄会导致缩放定律的偏移出现系统性变化。在该模型中,这种变化可解释为作用于皮层的机械力的改变。我们还将这一分析方法应用于一组来自年龄相仿的阿尔茨海默病患者和健康受试者的数据集。结果显示,与对照组相比,阿尔茨海默病患者的偏移量系统性降低,指数也可能发生了变化。最后,我们讨论了数据中偏移量和指数变化的意义,并将其与现有文献相关联。因此,我们为之前独立的观察结果提供了一种可能的机制联系。