Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia
Author(s) -
Vadim Ushakov,
Maxim Sharaev,
И. К. Малашенкова,
Sergey Krynskiy,
Sergey Kartashov,
Vyacheslav Orlov,
Denis G. Malakhov,
N A Hailov,
Daniil Ogurtsov,
Natalia V. Zakharova,
Nikolay Didkovsky,
Aleksandra V. Maslennikova,
Andrey Yu. Arkhipov,
В. Б. Стрелец,
Marie Arsalidou,
Boris B. Velichkovsky,
G. P. Kostyuk
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.11.097
Subject(s) - schizophrenia (object oriented programming) , computer science , systemic inflammation , connectome , neurophysiology , medicine , inflammation , rest (music) , cognition , immunology , neuroscience , psychiatry , psychology , functional connectivity
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.
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