Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/92417
Title: Investigation of the neuro-electrostimulation mechanisms by means of the functional MRI: Case study
Authors: Kublanov, V.
Aftanas, L.
Petrenko, T.
Danilenko, K.
Maria, R.
Efimtcev, A.
Babich, M.
Dolganov, A.
Sokolov, A.
Issue Date: 2018
Publisher: SciTePress
Citation: Investigation of the neuro-electrostimulation mechanisms by means of the functional MRI: Case study / V. Kublanov, L. Aftanas, T. Petrenko, K. Danilenko, et al.. — DOI 10.5220/0006712203190324 // BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. — 2018. — Iss. 4. — P. 319-324.
Abstract: The article overviewed contemporary neuromodulation approaches and challenges. The importance of the neurostimulation techniques was justified. The SYMPATHOCOR-01 neuro-electrostimulation device characterization was presented. The case study of the neuro-electrostimulation mechanisms by means of the neuroimaging was described. Case study consisted of 3 phases: imaging prior to the neuro-electrostimulation procedure, imaging right after the neuro-electrostimulation procedure and imaging after a 5-day stimulation course. Results of the functional magnetic resonance imaging revealed improvement of the functional connectivity strength in several brain regions as well as normalization of default mode network activity. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
Keywords: FUNCTIONAL MRI
HEAD INJURY
NEURO-ELECTROSTIMULATION
NEUROIMAGING
BIOMEDICAL ENGINEERING
BIOMIMETICS
BRAIN
MAGNETIC RESONANCE IMAGING
DEFAULT-MODE NETWORKS
DEVICE CHARACTERIZATION
ELECTROSTIMULATION
FUNCTIONAL CONNECTIVITY
FUNCTIONAL MAGNETIC RESONANCE IMAGING
FUNCTIONAL MRI
NEUROMODULATION
NEUROSTIMULATION
FUNCTIONAL NEUROIMAGING
URI: http://elar.urfu.ru/handle/10995/92417
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85051720926
PURE ID: 7760780
ISBN: 9789897582790
DOI: 10.5220/0006712203190324
Sponsorship: The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006. The authors thank Ivan Brak, Elena Filimonova and Eugenia Kobeleva for participation in the data processing.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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