mesЭкстремальная биомедицинаExtreme Medicine3033-89643033-8972Centre for Strategic Planning of the Federal Medical and Biological Agency10.47183/mes.2023.009mes-157Research ArticleОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕORIGINAL RESEARCHНейрофизиологический метод исследования изменения активности сети пассивной работы головного мозгаNeurophysiological method for studying changes in the brain’s default mode network activityГуляевС. А.GulyaevS. A.

Сергей Александрович ГуляевКаширское шоссе, д. 31, г. Москва, 119604

Sergey A. GulyaevKashirskoe shosse, 31, Moscow, 119604

ergruss@yandex.ruХануховаЛ. М.KhanukhovaL. M.

Москва

Moscow

ГармашА. А.GarmashA. A.

Москва

Moscow

Инженерно-физический институт биомедицины Национального исследовательского ядерного университета «МИФИ»; Медицинская клиника La-SaluteРоссияInstitute for Physics and Engineering in Biomedicine, National Research Nuclear University “MEPhI”; La-Salute ClinicRussian FederationМедицинская клиника La-SaluteРоссияLa-Salute ClinicRussian FederationИнженерно-физический институт биомедицины Национального исследовательского ядерного университета «МИФИ»РоссияInstitute for Physics and Engineering in Biomedicine, National Research Nuclear University “MEPhI”Russian Federation2023271020242526976Copyright © Гуляев С.А., Ханухова Л.М., Гармаш А.А., 20242024Гуляев С.А., Ханухова Л.М., Гармаш А.А.Gulyaev S.A., Khanukhova L.M., Garmash A.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.extrememedicine.ru/jour/article/view/157

Интерес к активности нейронных сетей покоя человеческого мозга обусловлен поиском определения человеческого самосознания как идентификатора     человеческой личности. В настоящее время в изучении данной проблемы лидирующие позиции занимает технология фМРТ покоя. Определенные недостатки ограничивают ее широкое применение. С 2010 г. все больший интерес вызывает возможность применения нейрофизиологических методов диагностики состояния сетей пассивной работы мозга на основании анализа ЭЭГ-микросостояний. Целью исследования было продемонстрировать возможность регистрации поведения сетей головного мозга как в состоянии пассивной работы, так и в ответ на раздражитель, вызывающий заранее известный ответ. Обследовано 42 человека в состоянии пассивного расслабленного бодрствования с выделением отдельных последовательностей ЭЭГ-микросостояний и решением обратной задачи ЭЭГ-исследования. Проверку адекватности полученных данных проводили путем сравнения с результатами, получаемыми при заданной стимуляции слухоречевой функции. Сделан вывод о возможности исследования активности дефолтных сетей головного мозга с помощью комбинирования анализа ЭЭГ-микросостояний с решением обратной ЭЭГ-задачи. Предлагаемая технология может найти применение как в научных исследованиях, так и в клинической практике в виде новых технологий и приборов, позволяющих определять изменения нейропсихологических процессов

Curiosity about the activity of neural networks in the human brain results from the search for definition of human self-consciousness as an identifier of human personality. Today, the RS-fMRI technology occupies a leading position among methods used to study this problem. The widespread use of the technology is limited by certain drawbacks. Starting from 2010, there is a growing interest in the possibility of using neurophysiological methods for the diagnosis of the brain's default mode network (DMN) state based on the analysis of EEG microstates. The study was aimed to demonstrate the possibility of recording the activity of brain networks both at rest and under exposure to the stimulus evoking a known response. A total of 42 people underwent assessment in the relaxed wakefulness state with the eyes closed that involved extraction of certain EEG microstate sequences and the EEG inverse problem solution. The data obtained were tested for adequacy via comparison with the results obtained by the preset stimulation of auditory and language function. The conclusion was made about the possibility of assesing the brain's DMN’s activity by combining the analysis of EEG microstates with the EEG inverse problem solution. The proposed technology can be used in both scientific research and clinical practice in the form of new techniques and systems allowing one to determine alterations in neuropsychological processes.

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The authors declare that there are no conflicts of interest present.