Preview

Diagnostic radiology and radiotherapy

Advanced search

OBJECTIFICATION OF MENTAL DISORDERS USING SPECIAL MAGNETIC RESONANCE IMAGING TECHNIQUES IN THE SYSTEM OF MONITORING THE MENTAL HEALTH OF SERVICEMEN

https://doi.org/10.22328/2079-5343-2019-10-3-60-70

Abstract

Introduction. Alcoholism and opioid addiction are the leading problems of modern narcology and together with adaptation disorders create a significant contribution to dismission from the ranks of the Armed Forces. Identifying the latent forms of mental disorders is of particular importance for making expert decisions at invoking. Special MRI techniques allow to evaluate the functional and microstructural connectivity of distant parts of the brain.

Materials and methods. With the application of functional MRI and tractography, 405 patients were examined from the potential conscription pool: 76 patients with alcohol dependence syndrome, 170 with opioid dependence syndrome, and 9 with adaptation disorders. In patients suffering from adaptation disorders, opioid dependence and alcoholism, an analysis of the neural network of the passive mode of the brain was performed.

Results. There was established, comparing to the control group, all the patients suffering from addiction demonstrated a weakening of the functional connections of all brain structures. Compared with the control group, the patients with drug addiction and alcoholism had microstructural deformation between the cortical and subcortical structures, especially between the amygdala and the hippocampus. The weakening of functional and microstructural links in the network of the passive mode of the brain in groups of drug addicts indicates that they have violated the processes of control, thinking and the correct decision making. In case of adaptation disorders, integral bilateral differences in terms of global and local node efficiency between groups of patients with adaptation disorder and healthy individuals showed a higher significance of the network of passive mode of the brain in the system of mutual functional connectivity of the posterior cingulate cortex and preclinical. The data obtained create the basis for the creation of biomarkers for patients suffering from mental disorders, which can be used to examine, guide and evaluate the treatment of this pathology.

About the Authors

D. A. Tarumov
Kirov Military Medical Academy
Russian Federation


A. A. Marchenko
Kirov Military Medical Academy
Russian Federation


A. G. Trufanov
Kirov Military Medical Academy
Russian Federation


G. G. Romanov
Kirov Military Medical Academy
Russian Federation


A. V. Lobachev
Kirov Military Medical Academy
Russian Federation


E. M. Mavrenkov
Kirov Military Medical Academy
Russian Federation


D. N. Iskhakov
Kirov Military Medical Academy
Russian Federation


I. S. Zheleznyak
Kirov Military Medical Academy
Russian Federation


V. K. Shamrey
Kirov Military Medical Academy
Russian Federation


G. E. Trufanov
Kirov Military Medical Academy
Russian Federation


A. Ya. Fisun
Kirov Military Medical Academy
Russian Federation


References

1. О системе работы должностных лиц и органов военного управления по сохранению и укреплению психического здоровья военнослужащих Вооруженных Сил Российской Федерации: Приказ Министра обороны Российской Федерации от 4 августа 2014 г. № 533. [On the system of work of officials and bodies of the military administration for the preservation and strengthening of mental health of servicemen of the Armed Forces of the Russian Federation: Order of the Minister of Defense of the Russian Federation of August 4, 2014, No. 533. (In Russ.)].

2. Шамрей В.К. и др. Перспективы объективного мониторинга и прогноза психического здоровья военнослужащих // Доктор.Ру. 2018. № 1 (145). С. 27–33. [Shamrey V.K. Prospects for objective monitoring and prediction of the mental health of servicemen. Doctor.Ru, 2018, No. 1 (145), рp. 27–33. (In Russ.)].

3. Алексеев В.В. и др. Мониторинг аддиктивного поведения военнослужащих: опыт использования методов химико-токсикологического исследования // Воен.-мед. журн. 2016. Т. 337, № 3. С. 14–21. [Alekseev V.V. et al. Monitoring addictive behavior of military personnel: experience of using methods of chemical-toxicological research. Voyen.-med. zhurn., 2016, Vol. 337, No. 3, рр. 14–21. (In Russ.)].

4. Кувшинов К.Э. и др. Прогнозирование отклоняющегося поведения у военнослужащих, проходящих военную службу по призыву // Воен.-мед. журн. 2017. Т. 338, № 9. С. 4–10. [Kuvshinov K.E. et al. Prediction of deviating behavior among servicemen undergoing military service. Voyen.-med. zhurn., 2017, Vol. 338, No. 9, рр. 4–10. (In Russ.)].

5. Lytell M.C., Robson S., Schulker D. et al. Training success for U.S. air force special operations and combat support specialties: An analysis of recruiting, screening, and development processes. Santa Monica, Calif.: RAND Corporation, 2018. 116 p.

6. Самохвалов В.П. Эволюционная психиатрия. ИМИС: НПФ «Движение», 1993. 286 с. [Samokhvalov V.P. Evolutionary Psychiatry. IMIS: NPF «Dvizheniye», 1993, 286 p. (In Russ.)].

7. Вальтер Х. Функциональная визуализация в психиатрии и психотерапии. М.: Астрель, Полиграфиздат, 2010. 432 с. [Walter H. Functional visualization in psychiatry and psychotherapy. Moscow: Izdatel’stvo Astrel, Poligrafizdat, 2010, 432 p. (In Russ.)].

8. Селиверстова Е.В. и др. Реорганизация сети пассивного режима работы головного мозга у пациентов с болезнью Паркинсона: анализ индивидуальных компонент по данным фМРТ покоя // Анналы неврологии. 2015. Т. 9, № 2. С. 4–9. [Seliverstova E.V. et al. Reorganization of the network of passive mode of the brain in patients with Parkinson’s disease: analysis of individual components according to fMRI data of rest. Annali nevrologii, 2015, Vol. 9, No. 2, рp. 4–9. (In Russ.)].

9. Denier N. et al. Abnormal functional integration of thalamic low frequency oscillation in the BOLD signal after acute heroin treatment // Hum. Brain Mapp. 2015. Vol. 36. P. 5287–5300. 10. Haber S., Calzavara R. The cortico-basal ganglia integrative network. The role of the Thalamus // Brain Res. Bull. 2009. Vol. 78. P. 69–74.

10. Peters S.K., Dunlop K., Downar J. Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment // Frontiers in Systems Neuroscience. 2016. Vol. 10, No. 12. Р. 104.

11. Марченко А.А. и др. Расстройства адаптации у военнослужащих: Проблемы диагностики и экспертизы // 3-й Азиатско-тихоокеанский конгресс по военной медицине: сборник трудов. СПб., 2016. 216 с. [Marchenko A.A. et al. Adaptation disorders in the military: Problems of diagnosis and examination. 3rd Asia-Pacific Congress on Military Medicine. Collection of works. St. Petersburg, 2016. 216 с. (In Russ.)].

12. Purves D. Principles of Cognitive Neuroscience // Sunderland: Sinauer Associates. 2013. No. 601. P. 38–39.

13. Zhang Y. et al. Distinct resting-state brain activities in heroindependent individuals // Brain Res. 2011. Vol. 1402. P. 46–53.

14. Tekin S., Cummings J.L. Frontal-subcortical neuronal circuits and clinical neuropsychiatry: an update // J. Psychosom Res. 2002. Vol. 53, No. 2. P. 647–654.


Review

For citations:


Tarumov D.A., Marchenko A.A., Trufanov A.G., Romanov G.G., Lobachev A.V., Mavrenkov E.M., Iskhakov D.N., Zheleznyak I.S., Shamrey V.K., Trufanov G.E., Fisun A.Ya. OBJECTIFICATION OF MENTAL DISORDERS USING SPECIAL MAGNETIC RESONANCE IMAGING TECHNIQUES IN THE SYSTEM OF MONITORING THE MENTAL HEALTH OF SERVICEMEN. Diagnostic radiology and radiotherapy. 2019;(3):60-70. (In Russ.) https://doi.org/10.22328/2079-5343-2019-10-3-60-70

Views: 1157


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-5343 (Print)