Abdallah Majd, Farrugia Nicolas, Chirokoff Valentine, Chanraud Sandra
Aquitaine Institute of Cognitive and Integrative Neuroscience, UMR CNRS 5287, University of Bordeaux, France.
Electronics Department Lab STICC, IMT Atlantique, UMR CNRS 6285, Brest, France.
Netw Neurosci. 2020 Sep 1;4(3):891-909. doi: 10.1162/netn_a_00149. eCollection 2020.
Human and animal brain studies bring converging evidence of a possible role for the cerebellum and the cerebro-cerebellar system in impulsivity. However, the precise nature of the relation between cerebro-cerebellar coupling and impulsivity is far from understood. Characterizing functional connectivity (FC) patterns between large-scale brain networks that mediate different forms of impulsivity, and the cerebellum may improve our understanding of this relation. Here, we analyzed static and dynamic features of cerebro-cerebellar FC using a highly sampled resting-state functional magnetic resonance imaging (rs-fMRI) dataset and tested their association with two widely used self-reports of impulsivity: the UPPS-P impulsive behavior scale and the behavioral inhibition/approach systems (BIS/BAS) in a large group of healthy subjects ( = 134, ≈ 1 hr of rs-fMRI/subject). We employed robust data-driven techniques to identify cerebral and cerebellar resting-state networks and extract descriptive summary measures of static and dynamic cerebro-cerebellar FC. We observed evidence linking BIS, BAS, sensation seeking, and lack of premeditation to the total strength and temporal variability of FC within networks connecting regions of the prefrontal cortex, precuneus, posterior cingulate cortex, basal ganglia, and thalamus with the cerebellum. Overall, our findings improve the existing knowledge of the neural correlates of impulsivity and the behavioral correlates of the cerebro-cerebellar system.
对人类和动物大脑的研究不断提供越来越多的证据，表明小脑和脑-小脑系统在冲动行为中可能发挥作用。然而，脑-小脑耦合与冲动之间关系的确切性质仍远未明确。描绘介导不同形式冲动行为的大规模脑网络与小脑之间的功能连接（FC）模式，可能会增进我们对这种关系的理解。在这里，我们使用高采样率的静息态功能磁共振成像（rs-fMRI）数据集分析了脑-小脑FC的静态和动态特征，并在一大群健康受试者（n = 134，每位受试者约有1小时的rs-fMRI数据）中测试了它们与两种广泛使用的冲动性自评量表的关联：UPPS-P冲动行为量表和行为抑制/趋近系统（BIS/BAS）。我们采用了稳健的数据驱动技术来识别大脑和小脑的静息态网络，并提取静态和动态脑-小脑FC的描述性汇总指标。我们观察到，BIS、BAS、感觉寻求和缺乏预谋与前额叶皮层、楔前叶、后扣带回皮层、基底神经节和丘脑与小脑相连区域内FC的总强度和时间变异性之间存在关联。总体而言，我们的研究结果增进了对冲动性神经相关性以及脑-小脑系统行为相关性的现有认识。
