Resting state functional magnetic resonance imaging in patients with multiple sclerosis before and after high-dose immunosuppressive therapy and autologous hemopoietic stem cell transplantation
- Authors: Potemkina E.A.1, Trufanov A.G.2,3, Efimtsev A.Y.1, Polushin A.Y.3, Volgina V.V.1, Filin Y.A.1
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Affiliations:
- Almazov Research Center of the Ministry of Health of the Russian Federation
- Military Medical Academy
- Pavlov First Saint Petersburg State Medical University
- Issue: Vol 43, No 3 (2024)
- Pages: 291-299
- Section: Original articles
- URL: https://journals.rcsi.science/RMMArep/article/view/275797
- DOI: https://doi.org/10.17816/rmmar632532
- ID: 275797
Cite item
Abstract
BACKGROUND: Multiple sclerosis is a chronic autoimmune disease characterized by multifocal foci of demyelination in the central nervous system, usually affecting people of working age. The disease causes damage to the blood-brain barrier, the development of multifocal inflammation, destruction of the myelin sheath of axons and various degrees of damage. It is clinically manifested by restriction of motor activity, visual acuity, as well as other symptoms leading to loss of performance and disability of the patient.
AIM: determination of changes in the functional connectivity of brain neural networks in patients with multiple sclerosis before and after high-dose immunosuppressive therapy and autologous
hematopoietic stem cell transplantation by performing functional magnetic resonance imaging at rest.
MATERIALS AND METHODS: The data of functional magnetic resonance imaging of patients with multiple sclerosis were analyzed in dynamics before and after the use of high-dose immunosuppressive therapy followed by autologous hematopoietic stem cell transplantation. The study involved 25 patients with a verified diagnosis of multiple sclerosis. Each underwent complex magnetic resonance imaging at two time points (before and after high-dose immunosuppressive therapy followed by autologous hematopoietic stem cell transplantation) with a difference of 12 months, which included structural magnetic resonance imaging - in order to exclude the presence of pathological foci in the brain (in addition to foci of multiple sclerosis) and functional magnetic resonance imaging.-resonance imaging at rest — to assess functional connectivity. Also, according to the method generally accepted in classical neurology, a clinical neurological examination was performed.
RESULTS: At the stage of comparing data on the two groups obtained using functional magnetic resonance imaging at rest, changes in functional activity were detected in various parts of the brain, presumably responsible for clinical differences in the studied groups.
CONCLUSION: Currently, the links between brain structures and morphological changes that cause cognitive impairment in multiple sclerosis are being studied. To predict the progression of the disease, the development of biomarkers, including those based on functional magnetic resonance imaging, is required. Evaluating changes in the functional connectivity of brain neural networks can help personalize therapeutic and rehabilitation approaches.
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##article.viewOnOriginalSite##About the authors
Elena A. Potemkina
Almazov Research Center of the Ministry of Health of the Russian Federation
Email: lenagorbunova-124@yandex.ru
ORCID iD: 0000-0003-3987-9916
Scopus Author ID: 57217020760
ResearcherId: ABF-8381-2021
Russian Federation, Saint Petersburg
Artem G. Trufanov
Military Medical Academy; Pavlov First Saint Petersburg State Medical University
Email: trufanovart@gmail.com
ORCID iD: 0000-0003-2905-9287
MD, Dr. Sci. (Medicine), Professor at the Department
Russian Federation, Saint Petersburg; Saint PetersburgAlexander Yu. Efimtsev
Almazov Research Center of the Ministry of Health of the Russian Federation
Email: atralf@mail.ru
ORCID iD: 0000-0003-2249-1405
SPIN-code: 3459-2168
Scopus Author ID: 56807130100
ResearcherId: L-1124-2015
MD, Dr. Sci. (Medicine), Associate Professor at the Department
Russian Federation, Saint PetersburgAleksey Yu. Polushin
Pavlov First Saint Petersburg State Medical University
Email: alexpolushin@yandex.ru
ORCID iD: 0000-0001-8699-2482
MD, Cand. Sci. (Medicine)
Russian Federation, Saint PetersburgVictoria V. Volgina
Almazov Research Center of the Ministry of Health of the Russian Federation
Email: volginaviktoria1@gmail.com
ORCID iD: 0009-0003-1517-8709
Russian Federation, Saint Petersburg
Yana A. Filin
Almazov Research Center of the Ministry of Health of the Russian Federation
Author for correspondence.
Email: filin_yana@mail.ru
ORCID iD: 0009-0009-0778-6396
Russian Federation, Saint Petersburg
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