Habas Christophe, Kamdar Nirav, Nguyen Daniel, Prater Katherine, Beckmann Christian F, Menon Vinod, Greicius Michael D
Service de NeuroImagerie, Hôpital des Quinze-Vingts, Université Pierre et Marie Curie Paris 6, 75012 Paris, France.
J Neurosci. 2009 Jul 1;29(26):8586-94. doi: 10.1523/JNEUROSCI.1868-09.2009.
Convergent data from various scientific approaches strongly implicate cerebellar systems in nonmotor functions. The functional anatomy of these systems has been pieced together from disparate sources, such as animal studies, lesion studies in humans, and structural and functional imaging studies in humans. To better define this distinct functional anatomy, in the current study we delineate the role of the cerebellum in several nonmotor systems simultaneously and in the same subjects using resting state functional connectivity MRI. Independent component analysis was applied to resting state data from two independent datasets to identify common cerebellar contributions to several previously identified intrinsic connectivity networks (ICNs) involved in executive control, episodic memory/self-reflection, salience detection, and sensorimotor function. We found distinct cerebellar contributions to each of these ICNs. The neocerebellum participates in (1) the right and left executive control networks (especially crus I and II), (2) the salience network (lobule VI), and (3) the default-mode network (lobule IX). Little to no overlap was detected between these cerebellar regions and the sensorimotor cerebellum (lobules V-VI). Clusters were also located in pontine and dentate nuclei, prominent points of convergence for cerebellar input and output, respectively. The results suggest that the most phylogenetically recent part of the cerebellum, particularly crus I and II, make contributions to parallel cortico-cerebellar loops involved in executive control, salience detection, and episodic memory/self-reflection. The largest portions of the neocerebellum take part in the executive control network implicated in higher cognitive functions such as working memory.
来自各种科学方法的趋同数据有力地表明小脑系统参与非运动功能。这些系统的功能解剖结构是从不同来源拼凑而成的,如动物研究、人类病变研究以及人类的结构和功能成像研究。为了更好地定义这种独特的功能解剖结构,在当前研究中,我们使用静息态功能连接MRI在同一受试者中同时描绘小脑在几个非运动系统中的作用。独立成分分析应用于来自两个独立数据集的静息态数据,以确定小脑对几个先前确定的参与执行控制、情景记忆/自我反思、显著性检测和感觉运动功能的内在连接网络(ICN)的共同贡献。我们发现小脑对每个ICN都有独特的贡献。新小脑参与(1)左右执行控制网络(特别是小脑脚I和II),(2)显著性网络(小叶VI),以及(3)默认模式网络(小叶IX)。在这些小脑区域和感觉运动小脑(小叶V-VI)之间几乎没有检测到重叠。聚类也位于脑桥核和齿状核,分别是小脑输入和输出的主要汇聚点。结果表明,小脑在系统发生上最新的部分,特别是小脑脚I和II,对参与执行控制、显著性检测和情景记忆/自我反思的平行皮质-小脑环路有贡献。新小脑的最大部分参与了与工作记忆等高级认知功能相关的执行控制网络。