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

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Artificial Neural Networks and Machine Learning – ICANN 2018 (ICANN 2018)

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Abstract

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.

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Acknowledgments

The authors wish to thank B. Schwaller for providing the PV-deficient mice, J.M. Delgado-García for his scientific supervision and J.M. González Martin, M. Sánchez Enciso, R. Sánchez-Campusano, J.A. Santos Naharro, and M. Kaczorowski for their technical assistance.

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Authors and Affiliations

  1. NeuroHeuristic Research Group, University of Lausanne, Quartier UNIL-Chamberonne, 1015, Lausanne, Switzerland

    Alessandra Lintas & Alessandro E. P. Villa

  2. AI Systems Medicine Research and Training Center (AISMEC), Yamaguchi University Graduate School of Medicine, Yamaguchi University Hospital, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan

    Takeshi Abe & Yoshiyuki Asai

Authors
  1. Alessandra Lintas
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  2. Takeshi Abe
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  3. Alessandro E. P. Villa
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  4. Yoshiyuki Asai
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Corresponding author

Correspondence to Alessandra Lintas .

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Editors and Affiliations

  1. Czech Academy of Sciences, Prague 8, Czech Republic

    Věra Kůrková

  2. Open University of Cyprus, Latsia, Cyprus

    Yannis Manolopoulos

  3. CITEC Bielefeld University, Bielefeld, Germany

    Barbara Hammer

  4. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  5. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

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Lintas, A., Abe, T., Villa, A.E.P., Asai, Y. (2018). Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit. In: Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., Maglogiannis, I. (eds) Artificial Neural Networks and Machine Learning – ICANN 2018. ICANN 2018. Lecture Notes in Computer Science(), vol 11140. Springer, Cham. https://doi.org/10.1007/978-3-030-01421-6_38

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  • DOI: https://doi.org/10.1007/978-3-030-01421-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01420-9

  • Online ISBN: 978-3-030-01421-6

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