Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland 21224, and Cerebral Microcirculation Unit, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892.
J Neurosci. 2013 Oct 16;33(42):16796-804. doi: 10.1523/JNEUROSCI.3146-13.2013.
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.
静息态功能磁共振成像(rs-fMRI)是一种强大的工具,正越来越多地被用作研究全脑回路的非侵入性方法,具有作为疾病可能诊断方法的巨大潜力。尽管具有这种潜力,但很少有静息态研究使用动物模型(其中非人类灵长类动物代表了我们理解复杂人类神经精神疾病的最佳机会),也没有工作对清醒、真正处于静息状态的动物的网络进行了特征描述。在这里,我们介绍了一项小型新世界猴研究的结果,该研究允许在清醒状态下对静息态网络进行特征描述。六只成年普通狨猴(Callithrix jacchus)适应了使用个性化头盔进行的光照、舒适的约束。在行为训练之后,为每个有意识的实验对象连续采集了八次 10 分钟的静息态血氧水平依赖(BOLD)数据。组独立成分分析揭示了 12 个大脑网络,这些网络与在清醒状态下的人类中观察到的已知解剖学受限回路有很大的重叠。具体来说,我们发现了 8 个感觉和“低阶”网络(4 个视觉、2 个躯体运动、1 个小脑和 1 个尾状核壳核网络),以及 4 个“高阶”联想网络(1 个类似默认模式的网络、1 个眶额网络、1 个额极网络和 1 个类似于人类突显网络的网络)。除了它们的功能相关性之外,这些网络模式与之前在清醒人类中描述的网络模式非常吻合。这是在清醒的新世界非人类灵长类动物中进行的首例此类报告,为在狨猴中建立的现有疾病模型提供了一个进行机制神经生物学检查的平台。