Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia

Vadim L. Ushakov, Maxim G. Sharaev, Irina K. Malashenkova, Sergey A. Krynskiy, Sergey I. Kartashov, Vyacheslav A. Orlov, Denis G. Malakhov, Nikita A. Hailov, Daniil P. Ogurtsov, Natalia V. Zakharova, Nikolay A. Didkovsky, Aleksandra V. Maslennikova, Andrey Yu Arkhipov, Valeria B. Strelets, Marie Arsalidou, Boris M. Velichkovsky, Georgy P. Kostyuk

    Research output: Contribution to journalConference articlepeer-review

    1 Citation (Scopus)

    Abstract

    In this study, for the first time, data were obtained on the architecture of effective connections in extended default neural network in patients with schizophrenia and the healthy controls. Also, a determination of the immunological status of patients was performed. At rest, the effective connectomes of the patients and healthy subjects had significant differences in the strength of connections. Immunological data analysis showed that despite clinical improvement after inpatient treatment, most patients had elevated levels of markers of systemic inflammation and activation of humoral immunity. At the next stage of work, a comprehensive analysis of neurophysiological and immunological data is planned.

    Original languageEnglish
    Pages (from-to)596-603
    Number of pages8
    JournalProcedia Computer Science
    Volume145
    DOIs
    Publication statusPublished - 2018
    Event9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 - Prague, Czech Republic
    Duration: 22 Aug 201824 Aug 2018

    Keywords

    • Cytokines
    • Default Neural Network
    • fMRI
    • Neuroinflammation
    • Schizophrenia

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