Mariya Olegovna Poplyak
neurologist, Saint-Petersburg, City polyclinic № 102, 197341, Saint-Petersburg, Koroleva avenue, 5, mariiapopliak@mail.ru, https://orcid.org/0000-0003-4239-0361
Artem Gennad’evich Trufanov
M. D., PhD, assistant professor of department of nervous diseases, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, trufanovart@gmail.com, https://orcid.org/0000-0003-2905-9287
Aleksandr Vasil’evich Temniy
resident doctor, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, crzdfop@gmail.com, https://orcid.org/0000-0001-8813-5708
Aleksandr Yur’evich Efimtsev
сandidate of medical sciences, associate professor of the department of radiation diagnostics and medical imaging, Almazov National Medical Research Centre, 197341, Saint-Petersburg, Akkuratova street, 2, atralf@mail.ru, https://orcid.org/0000-0003-2249-1405
Oleg Borisovich Chakchir
candidate of pharmaceutical sciences, head of the laboratory of nanobiotechnologies, University under the interparliamentary assembly of Eurasec, 194044, Saint-Petersburg, Smoljachkova street, 14/1, newnanobiotech@gmail.com, https://orcid.org/0000-0003-3853-9186
Alexei Vladimirovich Miheev
candidate of medical sciences reseacher of the laboratory of nanobiotechnologies, University under the interparliamentary assembly of Eurasec, 194044, Saint-Petersburg, Smoljachkova street, 14/1, https://orcid.org/0000-0003-3853-9186, alexeimiheev331@gmail.com
Dmitrij Igorevich Skulyabin
candidate of medical sciences associate professor of the department of nervous diseases, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, dskulyabin@gmail.com, https://orcid.org/0000-0001-5379-2863
Evgeniya Viktorovna Kuznetsova
lecturer at the department of organization of provision of troops (forces) with medical equipment, Military-medical academy n.a. S.M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, evgecha-kuz@yandex.ru, https://orcid.org/0000-0001-7612-792X
Gennady Nikolaevich Bisaga
doctor of medical sciences, professor of the department of nervous diseases, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, bisaga@yandex.ru, https://orcid.org/0000-0002-1848-8775
Igor’ Vyacheslavovich Litvinenko
doctor of medical sciences, head of the department of nervous diseases, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, litvinenkoiv@rambler.ru, https://orcid.org/0000-0001-8988-3011
Miroslav Mihailovich Odinak
corresponding member of the Russian Academy of Sciences, doctor of medical sciences, professor of the department of nervous diseases, Military-medical academy n.a. S. M. Kirov, 194044, Saint-Petersburg, akademica Lebedeva street, 6, odinak@rambler.ru, https://orcid.org/0000-0002-7314-7711
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease that affects the central nervous system in most young adults and leads to inevitable disability. Objective: to determine the degree of involvement of subcortical structures in the pathological process in multiple sclerosis and evaluate their prognostic significance. Eighty patients with relapsing-remitting (n=48) and secondary-progressive (n=32) MS phenotypes were examined; 20 healthy subjects of corresponding age and sex constituted the control group. Clinical assessment was performed using the scales: EDSS, MSSS, MMSE, FAB, MoCA, SDMT, Beck’s test, and HADS. All patients underwent brain MRI and MR morphometry using Freesurfer 6.0 software. In patients with multiple sclerosis, the neurodegenerative process is represented by decreased volumes of the caudate nucleus and shell, increased volume of the 3rd and lateral ventricles, increased volume of CSF, and the presence of «black holes». The volume of the 3rd and lateral ventricles and the volume of the CSF (total neurodegeneration) depends on the duration of the disease. The degree of disability (EDSS) is influenced by the volumes of the caudate nucleus, globus pallidus, nucleus accumbens, and brainstem. In turn, cognitive decline is affected by the volume of the thalamus, basal nuclei, brainstem, volume of the lateral ventricles, and decreased volumes of the white matter and cerebellar cortex. Thus, dynamic assessment and observation of the subcortical brain volume using MR morphometry can act as a prognostic factor in the transition of the remitting relapsing phenotype of multiple sclerosis into a secondary progressive phenotype.