Instituto de Neurobiología, Universidad Nacional Autónoma de México. Boulevard Juriquilla 3001, Queretaro, 76230, Mexico.
Department of Psychiatry and Behavioral Sciences, Silvio O. Conte Center for Oxytocin and Social Cognition, Center for Translational Social Neuroscience, Yerkes National Primate Research Center, Emory University, 954 Gatewood Rd., Atlanta, GA, 30322, USA.
Sci Rep. 2018 Jan 19;8(1):1231. doi: 10.1038/s41598-017-17610-9.
Resting state functional magnetic resonance imaging (rsfMRI) has shown the hierarchical organization of the human brain into large-scale complex networks, referred as resting state networks. This technique has turned into a promising translational research tool after the finding of similar resting state networks in non-human primates, rodents and other animal models of great value for neuroscience. Here, we demonstrate and characterize the presence of resting states networks in Microtus ochrogaster, the prairie vole, an extraordinary animal model to study complex human-like social behavior, with potential implications for the research of normal social development, addiction and neuropsychiatric disorders. Independent component analysis of rsfMRI data from isoflurane-anestethized prairie voles resulted in cortical and subcortical networks, including primary motor and sensory networks, but also included putative salience and default mode networks. We further discuss how future research could help to close the gap between the properties of the large scale functional organization and the underlying neurobiology of several aspects of social cognition. These results contribute to the evidence of preserved resting state brain networks across species and provide the foundations to explore the use of rsfMRI in the prairie vole for basic and translational research.
静息态功能磁共振成像 (rsfMRI) 显示了人类大脑的分层组织为大规模的复杂网络，被称为静息态网络。这项技术在非人类灵长类动物、啮齿类动物和其他具有重要神经科学价值的动物模型中发现了类似的静息态网络后，成为一种很有前途的转化研究工具。在这里，我们展示并描述了 Microtus ochrogaster（草原田鼠）静息态网络的存在，草原田鼠是一种研究复杂人类社会行为的特殊动物模型，这可能对正常社会发展、成瘾和神经精神疾病的研究具有重要意义。对异氟烷麻醉的草原田鼠 rsfMRI 数据进行独立成分分析，得到了皮质和皮质下网络，包括初级运动和感觉网络，但也包括假定的突显和默认模式网络。我们进一步讨论了未来的研究如何有助于缩小大规模功能组织的特性与社会认知几个方面的基础神经生物学之间的差距。这些结果为跨物种保留静息态大脑网络提供了证据，并为探索 rsfMRI 在草原田鼠基础和转化研究中的应用提供了基础。
