I.P. Pavlov Journal of Higher Nervous ActivityI.P. Pavlov Journal of Higher Nervous ActivityЖурнал высшей нервной деятельности им. И.П. Павлова0044-46773034-5316The Russian Academy of Sciences65208810.31857/S0044467724030032ФИЗИОЛОГИЯ ВЫСШЕЙ НЕРВНОЙ (КОГНИТИВНОЙ) ДЕЯТЕЛЬНОСТИ ЧЕЛОВЕКАФИЗИОЛОГИЯ ВЫСШЕЙ НЕРВНОЙ (КОГНИТИВНОЙ) ДЕЯТЕЛЬНОСТИ ЧЕЛОВЕКАResearch ArticlePatterns of interhemispheric interactions in the short day sleep episodesПаттерны межполушарных взаимодействий при пробуждении от коротких эпизодов дневного снаManaenkovA. E.МанаенковА. Е.
Russian Federation

Laboratory of Neurobiology of Sleep and Wakefulness, Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences; Department of Psychophysiology, Lomonosov Moscow State University

Лаборатория нейробиологии сна и бодрствования, Институт высшей нервной деятельности и нейрофизиологии РАН; Кафедра психофизиологии, Московский государственный университет им. М.В. Ломоносова

allomulder@gmail.comLigunN. V.ЛигунН. В.
Russian Federation

Laboratory of Neurobiology of Sleep and Wakefulness

Лаборатория нейробиологии сна и бодрствования

allomulder@gmail.comSveshnikovD. S.СвешниковД. С.
Russian Federation

Department of Normal Physiology

Кафедра нормальной физиологии

allomulder@gmail.comYakuninacE. B.ЯкунинаЕ. Б.
Russian Federation

Department of Normal Physiology

Кафедра нормальной физиологии

allomulder@gmail.comTorshinV. I.ТоршинВ. И.
Russian Federation

Department of Normal Physiology

Кафедра нормальной физиологии

allomulder@gmail.comDorokhovV. B.ДороховВ. Б.
Russian Federation

Laboratory of Neurobiology of Sleep and Wakefulness

Лаборатория нейробиологии сна и бодрствования

allomulder@gmail.comInstitute of Higher Nervous Activity and Neurophysiology of the Russian Academy of SciencesИнститут высшей нервной деятельности и нейрофизиологии РАНLomonosov Moscow State UniversityМосковский государственный университет им. М.В. ЛомоносоваMedical Institute of the Federal State Educational Institution of Higher Education “Peoples’ Friendship University of Russia”Медицинский институт ФГАОУ ВО “Российский университет дружбы народов”2410202474328529602022025Copyright ©; 2024, Russian Academy of SciencesCopyright ©; 2024, Российская академия наук2024Russian Academy of SciencesРоссийская академия наукhttps://innoscience.ru/0044-4677/article/view/652088

Previously, based on the material of multiple wake-sleep transitions when performing a bimanual psychomotor test based on a mobile app, we identified and interpreted 4 qualitatively different patterns of behavioral activity. In the same 191 1-hour experiments within 73 students we analyzed the data to see how interhemispheric interactions change when waking up from sleep. Using the Ward hierarchical clustering method, 4 clusters were identified. The average values of behavioral indicators in clusters were estimated, two sets of clusters were compared using Pearson’s chi-square test.

It is shown that the pronounced pattern of asymmetry between the hands is the rarest; for the least “sleepy” cluster, alternating awakenings with different hands is characteristic, for the most “sleepy” – the least predictability of patterns over time. It is also shown that the “asymmetric” and “sleepy” clusters never switched each other between falling asleep and waking up, and are more often switched by the remaining two clusters than vice versa.

The results obtained can reflect the dynamics of interhemispheric interactions during sleep-wake transitions. It is argued that the differences between the clusters are due to the restructuring of functional connectivity in different ranges of EEG activity.

Ранее на материале множественных засыпаний при выполнении бимануального психомоторного теста с использованием мобильного приложения на смартфоне мы выделили и проинтерпретировали 4 качественно различных паттерна поведенческой активности межполушарных взаимодействий при засыпании. На этих же 73 студентах с 191-часовым экспериментом мы провели анализ данных, чтобы увидеть, как изменяются межполушарные взаимодействия при пробуждении ото сна. С помощью метода иерархической кластеризации по Уорду были выделены 4 кластера. Оценены средние значения поведенческих показателей в кластерах, с помощью критерия хи-квадрат Пирсона сравнили два набора кластеров.

Показано, что выраженный паттерн асимметрии между руками является наиболее редким; для наименее “сонливого” кластера характерно чередование рук при пробуждениях, для наиболее “сонливого” – меньшая предсказуемость паттернов во времени. Также показано, что “асимметричный” и “сонливый” кластер никогда не сменяют друг друга между засыпаниями и пробуждениями и чаще сменяются на оставшиеся два кластера, чем наоборот.

Полученные результаты могут отражать динамику межполушарных взаимодействий при переходах между сном и бодрствованием. Предполагается, что различия между кластерами обусловлены особенностями перестройки функциональной связности мозга в различных диапазонах ЭЭГ-активности.

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