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Brain Neural Network Architectures in Sleep-Wake Cycle

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Biologically Inspired Cognitive Architectures 2023 (BICA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1130))

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Abstract

The article presents an attempt to search for neurophysiological mechanisms of maintaining different levels of consciousness by studying the cognitive processes of the sleep-wake transition. To perform this study, a psychomotor test was developed, the monotonous performance of which, during 60 min, causes alternating episodes with the disappearance of consciousness when falling asleep (“microsleep”) and its recovery when waking up (wakefulness). It is shown that the structure of transitions is individual in terms of the spatial localization of neural networks. A common tendency is the extensive activation of cortical-subcortical areas 2-4 TR (4–8 s) before the moment of waking fixation. Functional magnetic resonance imaging (fMRI) signal changes in brain neural networks were recorded during dynamic transitions: thalamus, hippocampus and parahippocampal gyrus, cerebellum, sensorimotor cortex, somato-sensory association cortex, secondary motor area, visual cortex, bilateral inferior parietal cortex, frontal temporal regions, pale globus and putamen area, insular cortex, cuneus, precuneus, anterior and middle cingulate cortex. The results reflect the complex individual dynamic activity of brain neural networks involved in the sleep-wake states, some of which is probably related to the preparation for the realization of the test motor task.

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Acknowledgements

This study was partially supported by the Russian Foundation for BasicResearch grant № 23–78-00010, https://rscf.ru/en/project/23-78-00010/

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Authors and Affiliations

  1. Institute for Advanced Study of the Brain, Lomonosov Moscow State University, Moscow, Russia

    Vadim L. Ushakov

  2. Lomonosov Moscow State University, Moscow, Russia

    Maria L. Khazova

  3. National Research Center “Kurchatov Institute”, Moscow, Russia

    Polina E. Zhigulina, Vyacheslav A. Orlov & Denis G. Malakhov

  4. National Research Nuclear University MEPhI, Moscow, Russia

    Vadim L. Ushakov

  5. Mental Health Clinic No. 1 named after N.A. Alexeev of Moscow Health Department, Moscow, Russia

    Vadim L. Ushakov

  6. Institute of Higher Nervous Activity, Neurophysiology of RAS, Moscow, Russia

    Vladimir B. Dorokhov

Authors
  1. Vadim L. Ushakov
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  2. Maria L. Khazova
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  3. Polina E. Zhigulina
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  4. Vyacheslav A. Orlov
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  5. Denis G. Malakhov
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  6. Vladimir B. Dorokhov
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Corresponding author

Correspondence to Vadim L. Ushakov .

Editor information

Editors and Affiliations

  1. Cybernetics Department, Moscow Engineering Physics Institute, Moscow, Russia

    Alexei V. Samsonovich

  2. College of Science and Technology, Ningbo University, Ningbo, China

    Tingting Liu

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ushakov, V.L., Khazova, M.L., Zhigulina, P.E., Orlov, V.A., Malakhov, D.G., Dorokhov, V.B. (2024). Brain Neural Network Architectures in Sleep-Wake Cycle. In: Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. BICA 2023. Studies in Computational Intelligence, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-50381-8_97

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