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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Large-scale brain networks in the awake, truly resting marmoset monkey
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Large-scale brain networks in the awake, truly resting marmoset monkey

机译：醒着，真正静止的mar猴的大规模脑网络

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Resting-state functional MRI is a powerful tool that is increasingly used as a noninvasive method for investigating whole-brain circuitry and holds great potential as a possible diagnostic for disease. Despite this potential, few resting-state studies have used animal models (of which nonhuman primates represent our best opportunity of understanding complex human neuropsychiatric disease), and no work has characterized networks in awake, truly resting animals. Here we present results from a small New World monkey that allows for the characterization of resting-state networks in the awake state. Six adult common marmosets (Callithrix jacchus) were acclimated to light, comfortable restraint using individualized helmets. Following behavioral training, resting BOLD data were acquired during eight consecutive 10 min scans for each conscious subject. Group independent component analysis revealed 12 brain networks that overlap substantially with known anatomically constrained circuits seen in the awake human. Specifically, we found eight sensory and "lower-order" networks (four visual, two somatomotor, one cerebellar, and one caudate-putamen network), and four "higher-order" association networks (one default mode-like network, one orbitofrontal, one frontopolar, and one network resembling the human salience network). In addition to their functional relevance, these network patterns bear great correspondence to those previously described in awake humans. This first-of-its-kind report in an awake New World nonhuman primate provides a platform for mechanistic neurobiological examination for existing disease models established in the marmoset.
机译：静止状态功能性MRI是一种功能强大的工具，越来越多地用作研究全脑电路的一种非侵入性方法，具有巨大的潜力，可作为疾病的可能诊断方法。尽管有这种潜力，但很少有静止状态研究使用动物模型（其中非人类灵长类动物代表我们了解复杂的人类神经精神疾病的最佳机会），并且还没有任何工作能够表征清醒，真正静止的动物的网络。在这里，我们介绍了一只新大陆小猴子的结果，该猴子可以表征处于清醒状态的静止状态网络。六个成年普通Six猴（Callithrix jacchus）使用个性化头盔适应了轻便，舒适的约束。在进行了行为训练之后，对于每个有意识的受试者，在连续八次连续的10分钟扫描中获取了静止的BOLD数据。独立于组的成分分析揭示了12个脑网络，这些网络与在清醒的人类中所见的已知解剖学受约束的电路基本重叠。具体来说，我们发现了8个感觉和“低阶”网络（4个视觉网络，2个躯体运动，1个小脑和1个尾状-丘脑网络）和4个“高阶”关联网络（1个默认模式模式网络，1个眶额网络） ，一个额极和一个类似于人类显着网络的网络）。除了它们的功能相关性外，这些网络模式还与以前在清醒的人类中描述的那些模式有很大的对应关系。这份在清醒的新世界非人类灵长类动物中的同类报道，为在mar猴中建立的现有疾病模型提供了机械神经生物学检查的平台。

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