Approaches to the Use of Graph Theory to Study the Human EEG in Health and Cerebral Pathology

Vigasina, K.D.; Proshina, E.A.; Gotovtsev, P.M.; Sharova, E.V.; Bordiug, V.A.; Masherov, E.L.; Knyazev, G.G.

Авторы: Vigasina K.D., Proshina E.A., Gotovtsev P.M., Sharova E.V., Bordiug V.A., Masherov E.L., Knyazev G.G.
Журнал: Neuroscience and Behavioral Physiology
Том: 53
Номер: 3
Год издания: 2023
Издательство: Kluwer Academic/Plenum Publishers
Местоположение издательства: United States
Первая страница: 381
Последняя страница: 398
DOI: 10.1007/s11055-023-01437-1
Аннотация: The information content of EEG recordings, which are widely used and important for assessing the functional activity of the brain, is signifi cantly increased by the use of mathematical analysis, where an important place is occupied by the spatial synchronization characteristic, i.e., the functional connectivity ofbiopotentials (based on correlation and coherence analysis, phase synchronization, etc.). The success ofneuroimaging methods in recent years has not only confi rmed the signifi cance of this indicator, but has alsocontributed to improvements in approaches to its statistical evaluation and visualization. Graph theory (GT)is a promising method for analyzing the neural network organization of the brain. Its advantages are thatit provides a visual description of the entire structure of the network and its individual components, aswell as defi ning the relationships between them. The purpose of this review is to present approaches to the application of graph theory and the potentials of this method based on the analysis of published data. We present general information on the areas of application of GT, address the most common and informative metrics, and provide recommendations for selecting software. Modifi cations of GT analysis of the EEG are described: without primary localization of the generation sources of EEG components and with their localization. Examples of the effective use of graph theory analysis of the electroencephalogram of the healthy and diseased brain are given.
Добавил в систему: Машеров Евгений Леонидович

	ИСТИНА	Войти в систему Регистрация
	Интеллектуальная Система Тематического Исследования НАукометрических данных
	Главная Поиск Статистика О проекте Помощь

ИСТИНА

Интеллектуальная Система Тематического Исследования НАукометрических данных

Approaches to the Use of Graph Theory to Study the Human EEG in Health and Cerebral Pathologyстатья

Прикрепленные файлы