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Russian Military Medical
                ORIGINAL ARTICLES                           Vol. 41 (4) 2022                          Academy Reports
           394
                DOI: https://doi.org/10.17816/rmmar111862
                Research Article
                Alterations in internetwork functional connectivity

                in patients with post COVID-19 syndrome within

                the boundaries of the Triple Network Model

                                  1
                                                            2
                Artem G. Trufanov , Aleksander Yu. Efimtsev , Igor V. Litvinenko 1
                1  Military Medical Academy, Saint Petersburg, Russia;
                2  V.A. Almazov Federal North-West Medical Research Centre, Saint Petersburg, Russia
                   AIM: Was to assess the changes in the connections between the three main neural networks using resting-state fMRI in
                patients with post COVID-19 syndrome with cerebral neurological symptoms, within the boundaries of the triple net-work
                model.
                   MATERIALS AND METHODS: We examined a total of 15 patients (mean age 36.4 ± 8.3 years; M : W = 10 : 5) with
                post COVID-19 syndrome who presented with neurological complaints, primarily decreased memory and attention, gene-
                ral weakness, low performance and sleep disturbance. The control group consisted of healthy 15 subjects (mean age,
                32.2 ± 6.9 years; M : W = 11 : 4) who had not previously been exposed to COVID-19. All members of the control group were
                vaccinated with the Sputnik-V vaccine. Magnetic resonance examination was performed on a Siemens Espree magnetic
                resonance imaging machine with a magnetic field strength of 1.5T. To exclude structural brain lesions, a standard magnetic
                resonance examination was performed with pulsed T1-WI, T2-WI, and Flair sequences. For postprocessing, T1 gradient
                echo and resting state echo-planar imaging protocols were performed. Postprocessing was performed using the software
                package CONN toolbox 20a to obtain clusters of functional connectivity of the studied neural networks using the seed-to-
                voxel processing protocol.
                   RESULTS: Disruption of connectivity of the standard resting neural network with lingvalis ingual, fusiform, and middle
                frontal gyrus was detected. The salient resting neural network had a worse ability to form connections in patients with post
                COVID-19 syndrome with lateral occipital cortex, angular gyrus, superior parietal lobule and supramarginal gyrus in one
                cluster and frontal cortex, and paracingular gyrus in the second cluster. The resting frontoparietal neural network inter-
                acted significantly better in the control group with the cerebellar structures, the middle frontal gyrus, and the cuneus and
                precuneus.
                   CONCLUSION: Patients with COVID-19 and the presence of post COVID-19 syndrome have reduced functional connecti-
                vity of all three basic neural networks with the big number of anatomo-physiological brain structures.
                Keywords: COVID-19; post COVID-19 syndrome; functional connectivity; resting state fMRI; standard resting neural network;
                salient neural network; frontoparietal network; seed-to-voxel.
                To cite this article:
                Trufanov AG, Efimtsev AYu, Litvinenko IV. Alterations in internetwork functional connectivity in patients with post COVID-19 syndrome within the
                boundaries of the Triple Network Model. Russian Military Medical Academy Reports. 2022;41(4):393–398. DOI: https://doi.org/10.17816/rmmar111862
























                Received: 12.10.2022                      Accepted: 19.10.2022                     Published: 17.11.2022


                                                                                   The article can be used under the CC BY-NC-ND 4.0 license
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