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比较灵长类连接组学

Comparative Primate Connectomics.

作者信息

Rilling James K, van den Heuvel Martijn P

机构信息

Department of Anthropology, Emory University, Atlanta, Georgia, USA.

Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA.

出版信息

Brain Behav Evol. 2018;91(3):170-179. doi: 10.1159/000488886. Epub 2018 Aug 10.

Abstract

A connectome is a comprehensive map of neural connections of a species nervous system. While recent work has begun comparing connectomes across a wide breadth of species, we present here a more detailed and specific comparison of connectomes across the primate order. Long-range connections are thought to improve communication efficiency and thus brain function but are costly in terms of energy and space utilization. Methods for measuring connectivity in the brain include measuring white matter volume, histological cell counting, anatomical tract tracing, diffusion-weighted imaging and tractography, and functional connectivity in MRI. Comparisons of global white matter connectivity suggest that larger primate brains are less well connected than smaller primate brains, but that humans have more connections than expected for our cortical neuron number, which may be concentrated in the prefrontal cortex. Although there is significant overlap in structural connectivity between humans and nonhuman primates, human-specific connections are found in cortical areas involved with language, imitation, and tool use. Similar to structural connectivity, there is also widespread overlap between humans and macaques in resting state functional connectivity. However, there are again a number of human-specific connections in cortical regions involved in language, tool use, and empathy. Comparative connectomics also offers the opportunity to detect specializations of connectivity in other primate species besides humans. Future research should capitalize on the ability of diffusion tractography to measure connectivity in postmortem brains that could expand the representation of species beyond humans, chimpanzees, and rhesus macaques, and facilitate identification of connectivity-based adaptations to different social and ecological niches. This work will require careful attention to establishing cortical homologies across species and to improving tractography methods to limit detection of false-positive and false-negative connections. Finally, it will be important to attempt to establish the functional significance of variation in connectivity profiles by examining how these covary with behavior and cognition both across and within species.

摘要

连接组是某一物种神经系统神经连接的全面图谱。尽管最近的研究已开始在广泛的物种范围内比较连接组,但我们在此展示了灵长目动物连接组更详细、更具体的比较。长程连接被认为可提高通信效率,进而改善脑功能,但在能量和空间利用方面成本高昂。测量大脑连接性的方法包括测量白质体积、组织学细胞计数、解剖学纤维束追踪、扩散加权成像和纤维束成像,以及磁共振成像中的功能连接性。对整体白质连接性的比较表明,较大的灵长类动物大脑的连接性不如较小的灵长类动物大脑,但人类的连接数量比根据我们的皮质神经元数量预期的要多,这些连接可能集中在额叶前皮质。尽管人类和非人类灵长类动物在结构连接性上有显著重叠,但在涉及语言、模仿和工具使用的皮质区域发现了人类特有的连接。与结构连接性类似,人类和猕猴在静息态功能连接性上也有广泛重叠。然而,在涉及语言、工具使用和同理心的皮质区域再次存在一些人类特有的连接。比较连接组学还提供了检测除人类之外其他灵长类物种连接性特化的机会。未来的研究应利用扩散纤维束成像测量死后大脑连接性的能力,这可以扩大除人类、黑猩猩和恒河猴之外的物种代表性,并有助于识别基于连接性的对不同社会和生态位的适应性。这项工作需要仔细关注跨物种建立皮质同源性,并改进纤维束成像方法以限制假阳性和假阴性连接的检测。最后,通过检查这些连接性如何在物种间和物种内与行为和认知共变来确定连接性概况变化的功能意义将很重要。

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