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Causal Interactions Within the Default Mode Network as Revealed by Low-Frequency Brain Fluctuations and Information Transfer Entropy

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 449))

Abstract

The Default Mode Network (DMN) is a brain system that mediates internal modes of cognitive activity, showing higher neural activation when one is at rest. The aim of the current work is to find a connectivity pattern between the four DMN key regions without any a priori assumptions on the underlying network architecture. For this purpose functional magnetic resonance imaging (fMRI) data from 30 healthy subjects (1000 time points from each one) was acquired and Transfer Entropy (TE) between fMRI time-series was calculated. The significant results at the group level were obtained by testing against the surrogate data. For initial 500, final 500 and total 1000 time points we found stable causal interactions between mPFC, PCC and LIPC. For some scanning intervals there are also connections from RIPC to mPFC and PCC. These results are in part conforming to earlier studies and models of effective connectivity within the DMN.

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Authors and Affiliations

  1. National Research Centre “Kurchatov Institute”, Moscow, Russian Federation

    Maksim Sharaev, Vadim Ushakov & Boris Velichkovsky

  2. Faculty of Physics, M.V.Lomonosov Moscow State University, Moscow, Russian Federation

    Maksim Sharaev

  3. Institute for Higher Nervous Activity and Neurophysiology, The Russian Academy of Sciences, Moscow, Russian Federation

    Maksim Sharaev

  4. Department of Cybernetics, National Research Nuclear University “MEPhI”, Moscow, Russian Federation

    Vadim Ushakov

  5. NBICS-Faculty, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation

    Boris Velichkovsky

  6. Applied Cognitive Research Unit, Technical University Dresden, Dresden, Germany

    Boris Velichkovsky

Authors
  1. Maksim Sharaev
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  2. Vadim Ushakov
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  3. Boris Velichkovsky
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Corresponding author

Correspondence to Maksim Sharaev .

Editor information

Editors and Affiliations

  1. Department 22 “Cybernetics”, National Research Nuclear University, Moscow, Russia

    Alexei V. Samsonovich

  2. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Valentin V. Klimov

  3. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Galina V. Rybina

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© 2016 Springer International Publishing Switzerland

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Sharaev, M., Ushakov, V., Velichkovsky, B. (2016). Causal Interactions Within the Default Mode Network as Revealed by Low-Frequency Brain Fluctuations and Information Transfer Entropy. In: Samsonovich, A., Klimov, V., Rybina, G. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists . Advances in Intelligent Systems and Computing, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-319-32554-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-32554-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32553-8

  • Online ISBN: 978-3-319-32554-5

  • eBook Packages: EngineeringEngineering (R0)

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