Interrelations of Clinical, Neurophysiological and Neuroimmunological Parameters in Depressive Patients after COVID-19

Author:

Iznak A. F.1ORCID,Iznak E. V.1ORCID,Zozulya S. A.1ORCID,Damyanovich E. V.1ORCID,Oleichik I. V.1ORCID

Affiliation:

1. FSBSI “Mental Health Research Centre”

Abstract

The aim of the study was to assess the impact of the coronavirus infection on clinical, neurophysiological and neuroimmunological parameters, as well as on their interrelations in young female depressive patients. Patients: a comparative analysis of quantitative clinical (according to the HDRS-17 scale), neurophysiological (EEG) and neuroimmunological (according to the “Neuro-immuno-test” technology) parameters was carried out in two groups of female depressive patients aged 16–25 years. The first group included 46 patients who recovered from a mild or asymptomatic coronavirus infection (“COVID” group). The second group included 40 patients who were studied and treated before the start of the pandemic (i.e., those who did not have COVID — the “pre-COVID” group) and corresponding to patients of the first group by gender, age, diagnoses, and syndrome structure of disorders. In all patients, prior to the start of the course of therapy, a multichannel EEG was recorded with the measurement of absolute spectral power and neuroimmunological parameters in blood plasma were determined. Methods: clinicalpsychopathological, psychometric, neurophysiological, neuroimmunological, statistical. Results: significantly greater scores of somatic disorders cluster of HDRS-17 scale, and increased amount of slow-wave EEG activity (of delta, theta1 and theta2 subbands) were revealed in the “COVID” group in comparison to patients of “pre-COVID” group. Mean values of neuroimmunological parameters were not differed statistically between two groups, but the values of neuroplasticity markers (levels of autoantibodies to the S100b protein and to the basic myelin protein) in the “pre-COVID” group correlated positively with the spectral power values of the main EEG rhythm (alpha2 and alpha3 sub-bands), and in “COVID” group — with the values of the spectral power of slow-wave EEG activity, reflecting a reduced brain functional state. Conclusion: the results obtained indicate that coronavirus infection, even in mild or asymptomatic forms, affects the clinical, neurophysiological and neuroimmunological parameters, as well as their interrelations in young female depressive patients.

Publisher

Medical Informational Agency Publishers

Subject

Biological Psychiatry,Psychiatry and Mental health,Clinical Psychology

Reference22 articles.

1. Gusev EI, Martynov MYu, Boyko AN, Voznyuk IA, Latsh NYu, Sivertseva SA, Spirin NN, Shamalov NA. Novel coronavirus infection (COVID-19) and nervous system involvement: pathogenesis, clinical manifestations, organization of neurological care. S.S. Korsakov Journal of Neurology and Psychiatry/ Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2020;120(6):7–16. (In Russ.). doi: 10.17116/jnevro20201200617

2. Mosolov SN. Problems of mental health in the situation of COVID-19 pandemic. S.S. Korsakov Journal of Neurology and Psychiatry/Zhurnal Nevrologii i Psikhiatrii imeni S.S. Korsakova. 2020;120(5):7–15. (In Russ.). doi: 10.17116/jnevro20201200517

3. Asadi-Pooya AA, Simani L. Central nervous system manifestations of COVID-19: A systematic review. J Neurol Sci. 2020;413:116832. doi: 10.1016/j.jns.2020.116832

4. Mosolov SN. Long-term psychiatric sequelae of SARSCoV-2 infection. Sovremennaya terapiya psihicheskih rasstrojstv. 2021;3:2–23. (In Russ.). doi: 10.21265/ PSYPH.2021.31.25.001

5. Holmes EA, O’Connor RC, Perry VH, Tracey I, Wessely S, Arseneault L, Ballard C, Christensen H, Cohen Silver R, Everall I, Ford T, John A, Kabir T, King K, Madan I, Michie S, Przybylski AK, Shafran R, Sweeney A, Worthman CM, Yardley L, Cowan K, Cope C, Hotopf M, Bullmore E. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry. 2020;7(6):547–560. doi: 10.1016/S22150366(20)30168-1 Epub 2020 Apr 15. PMID: 32304649; PMCID: PMC7159850.

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