Brain vs. endocast: Does size differ? A unique experiment based on a cohort of 75 volunteers.

IF 1.9 3区 医学 Q2 ANATOMY & MORPHOLOGY
Anna Maria Kubicka, Sylvain Prima, Andréa Filippo, Victor Giolland, Éric Bardinet, Mélanie Didier, Mathieu Santin, Antoine Balzeau
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Abstract

Research on brain evolution centres mainly on internal mouldings of the skull, known as endocasts; however, the relationship between the size and asymmetry of the brain and endocasts has been poorly investigated in humans. Therefore, the main objective of this study was to investigate whether endocasts can be reliable indicators of brain size and asymmetry. Magnetic Resonance Imaging (MRI) of 75 participants was used to calculate the volume and surface area of the brain, the endocast, and their respective hemispheres. Two asymmetry indices (i.e. directional and absolute asymmetry) were used to assess the differences in volume and surface area between the sides of the brain and endocast. The Pearson correlation coefficient was calculated to assess the relationships between the parameters, and a Monte Carlo simulation for linear regression was performed to generate prediction equations for brain volume. The relationships between the level and direction of asymmetry indices were investigated using the Pearson correlation and McNemar's test, respectively. All correlations were statistically significant; however, correlation coefficients between volumes were stronger (0.894-0.931) than between volumes and surface areas (0.783-0.834). Brain volume can be predicted with high accuracy (ranging between 0.80 and 0.87) using the endocast total volume or the volume of one of the sides. The associations between the levels of asymmetry indices of the brain and endocast were non-significant; however, the McNemar's test indicated that endocasts show the same left- or right-biased asymmetry as the brain. This was the first study conducted on a large sample of brain and endocast data from the same individuals. The results demonstrated that brain volume can be accurately reconstructed using the volume of the endocast or one of its sides. This finding is especially important in the context of reconstructing fossil skulls, which are usually fragmented. Conversely, the asymmetry levels of endocast parameters are not reliable indicators of the actual level of brain volume asymmetry. Future research on fossils should focus on endocast asymmetry direction (left- or right-biased) as this closely corresponds with brain lateralisation.

大脑和内源性:大小不同吗?一个基于75名志愿者的独特实验。
对大脑进化的研究主要集中在头骨的内部模塑上,称为内模;然而,大脑和内模的大小和不对称性之间的关系在人类中研究得很少。因此,本研究的主要目的是探讨脑内模是否可以作为脑大小和不对称的可靠指标。75名参与者的核磁共振成像(MRI)被用来计算大脑的体积和表面积,内皮层,以及他们各自的半球。两种不对称指标(即定向不对称和绝对不对称)被用来评估脑两侧和内质间体积和表面积的差异。计算Pearson相关系数以评估参数之间的关系,并进行蒙特卡罗模拟线性回归以生成脑容量预测方程。采用Pearson相关检验和McNemar检验分别考察了不对称指数的水平和方向之间的关系。所有相关性均有统计学意义;但体积与表面积之间的相关系数(0.894 ~ 0.931)高于体积与表面积之间的相关系数(0.783 ~ 0.834)。利用脑内总容积或其中一侧的容积可以高精度地预测脑容量(范围在0.80到0.87之间)。脑不对称指数与内质膜不对称指数之间的相关性不显著;然而,McNemar的试验表明,内模和大脑一样表现出左偏或右偏的不对称性。这是第一次对同一个人的大脑和内脏数据进行大样本研究。结果表明,脑容量可以准确地重建利用内质或其一侧的体积。这一发现在重建头骨化石的背景下尤为重要,因为头骨化石通常是碎片化的。相反,内腔参数的不对称水平并不是实际脑容量不对称水平的可靠指标。未来对化石的研究应侧重于内质不对称方向(左偏或右偏),因为这与大脑侧化密切相关。
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来源期刊
Journal of Anatomy
Journal of Anatomy 医学-解剖学与形态学
CiteScore
4.80
自引率
8.30%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Journal of Anatomy is an international peer-reviewed journal sponsored by the Anatomical Society. The journal publishes original papers, invited review articles and book reviews. Its main focus is to understand anatomy through an analysis of structure, function, development and evolution. Priority will be given to studies of that clearly articulate their relevance to the anatomical community. Focal areas include: experimental studies, contributions based on molecular and cell biology and on the application of modern imaging techniques and papers with novel methods or synthetic perspective on an anatomical system. Studies that are essentially descriptive anatomy are appropriate only if they communicate clearly a broader functional or evolutionary significance. You must clearly state the broader implications of your work in the abstract. We particularly welcome submissions in the following areas: Cell biology and tissue architecture Comparative functional morphology Developmental biology Evolutionary developmental biology Evolutionary morphology Functional human anatomy Integrative vertebrate paleontology Methodological innovations in anatomical research Musculoskeletal system Neuroanatomy and neurodegeneration Significant advances in anatomical education.
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