Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit

被引：0

作者：

Lintas, Alessandra ^{[1
]}

Abe, Takeshi ^{[2
]}

Villa, Alessandro E. P. ^{[1
]}

Asai, Yoshiyuki ^{[2
]}

机构：

[1] Univ Lausanne, NeuroHeurist Res Grp, Quartier UNIL Chamberonne, CH-1015 Lausanne, Switzerland

[2] Yamaguchi Univ, Yamaguchi Univ Hosp, Grad Sch Med, AI Syst Med Res & Training Ctr AISMEC, 1-1-1 Minami Kogushi, Ube, Yamaguchi 7558505, Japan

来源：

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT II | 2018年 / 11140卷

关键词：

Basal ganglia-thalamocortical circuit; Nucleus accumbens; Spike train analysis; Granger causality;

D O I：

10.1007/978-3-030-01421-6_38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study we analyze simultaneously recorded spike trains at several levels of the basal ganglia-thalamocortical circuit in freely moving parvalbumin (PV)-deficient and wildtype (WT) (i.e., expressing PV at normal levels) mice. Parvalbumin is a Calcium-binding protein, mainly expressed in GABAergic inhibitory neurons, that affects the dynamics of the Excitatory/Inhibitory balance at the network level. We apply Granger causality analysis in order to measure the functional connectivity of different selected brain areas and their possible alterations due to PV depletion. Our results show that connections between ventromedial prefrontal cortex and Nucleus Accumbens are not affected by PV depletion.

引用

页码：393 / 402

页数：10

共 15 条

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