Title | ||
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Granger Causality To Reveal Functional Connectivity In The Mouse Basal Ganglia-Thalamocortical Circuit |
Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.1007/978-3-030-01421-6_38 | ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT II |
Keywords | Field | DocType |
Basal ganglia-thalamocortical circuit, Nucleus accumbens, Spike train analysis, Granger causality | Ventromedial prefrontal cortex,GABAergic,Neuroscience,Parvalbumin,Pattern recognition,Nucleus accumbens,Computer science,Granger causality,Excitatory postsynaptic potential,Inhibitory postsynaptic potential,Artificial intelligence,Basal ganglia | Conference |
Volume | ISSN | Citations |
11140 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessandra Lintas | 1 | 1 | 1.03 |
Takeshi Abe | 2 | 3 | 1.80 |
Alessandro E . P. Villa | 3 | 348 | 53.26 |
Yoshiyuki Asai | 4 | 30 | 7.56 |