Publication:
The role of brain stem structures in the vegetative reactions based on fMRI analysis

Дата
2020
Авторы
Orlov, V. A.
Kholodny, Y. I.
Malakhov, D. G.
Kovalchuk, M. V.
Ushakov, V. L.
Kartashov, S. I.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© Springer Nature Switzerland AG 2020.This work was aimed at studying the role of brain stem structures in vegetative responses upon presentation of self significant stimuli (personal name) using the functional MRI method. The subjects, based on the data of the MRI compatible polygraph, were divided into three groups with different degree of vegetative reactions to personality-related stimuli: with strong galvanic skin reactions (GSR) only—7 subjects; with medium GSR and cardiovascular response (CR)—6 subjects; and with low reactivity of GSR and CR—5 subjects. The obtained statistical maps of brain neural network activities showed high activation of the brain stem structures upon presentation of personality-related stimuli in the second group (medium GSR and CR); low activation of the stem structures in the first group (strong GSR); and complete absence of activation of the stem structures in subjects of the third group (with low reactivity of the GSR and CR). It was shown that the use of MRI compatible polygraph for selection of fMRI data to subsequent statistical analysis is effective.
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Цитирование
The role of brain stem structures in the vegetative reactions based on fMRI analysis / Orlov, V.A. [et al.] // Studies in Computational Intelligence. - 2020. - 856. - P. 144-150. - 10.1007/978-3-030-30425-6_16
URI
https://www.doi.org/10.1007/978-3-030-30425-6_16
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85072839637&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000547332800016
 https://openrepository.mephi.ru/handle/123456789/20035
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