E. Borovkova, A. Hramkov, Elizaveta S. Dubinkina, A. Karavaev, B. Bezruchko, M. Prokhorov
{"title":"认知任务解决过程中脑结构与血液循环自主控制要素相互作用的变化","authors":"E. Borovkova, A. Hramkov, Elizaveta S. Dubinkina, A. Karavaev, B. Bezruchko, M. Prokhorov","doi":"10.1109/DCNA56428.2022.9923138","DOIUrl":null,"url":null,"abstract":"The development of a new biomarker for diagnosing the psychophysiological state of a person based on the control of the characteristics of the interaction between brain structures and elements of the autonomous control of blood circulation is an important and open issue. For 30 healthy young men, we performed synchronous recording of electroencephalogram (EEG) and photoplethysmogram (PPG) signals during rest and episodic stress, implemented using Stroop color word test and mental arithmetic test. During episodic stress, a statistically significant $(\\text{p}\\lt 0.05)$ increase in the power of low-frequency (LF) oscillations (0.04-0.14 Hz) and a decrease in the power of high-frequency (HF) oscillations (0.14-0.40 Hz) of the EEG derivation signals of the left and right hemispheres were revealed; drop in coherence between EEG oscillations of the left and right hemispheres in the LF frequency range; an increase in coherence between the EEG oscillations of the left and right hemispheres and the PPG signal in the LF frequency range. The performance of the calculated characteristics for the classification of stress and rest situations is shown.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changes in the Interaction Between Brain Structures and Elements of the Autonomic Control of Blood Circulation During the Solution of Cognitive Tasks\",\"authors\":\"E. Borovkova, A. Hramkov, Elizaveta S. Dubinkina, A. Karavaev, B. Bezruchko, M. Prokhorov\",\"doi\":\"10.1109/DCNA56428.2022.9923138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of a new biomarker for diagnosing the psychophysiological state of a person based on the control of the characteristics of the interaction between brain structures and elements of the autonomous control of blood circulation is an important and open issue. For 30 healthy young men, we performed synchronous recording of electroencephalogram (EEG) and photoplethysmogram (PPG) signals during rest and episodic stress, implemented using Stroop color word test and mental arithmetic test. During episodic stress, a statistically significant $(\\\\text{p}\\\\lt 0.05)$ increase in the power of low-frequency (LF) oscillations (0.04-0.14 Hz) and a decrease in the power of high-frequency (HF) oscillations (0.14-0.40 Hz) of the EEG derivation signals of the left and right hemispheres were revealed; drop in coherence between EEG oscillations of the left and right hemispheres in the LF frequency range; an increase in coherence between the EEG oscillations of the left and right hemispheres and the PPG signal in the LF frequency range. The performance of the calculated characteristics for the classification of stress and rest situations is shown.\",\"PeriodicalId\":110836,\"journal\":{\"name\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCNA56428.2022.9923138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Changes in the Interaction Between Brain Structures and Elements of the Autonomic Control of Blood Circulation During the Solution of Cognitive Tasks
The development of a new biomarker for diagnosing the psychophysiological state of a person based on the control of the characteristics of the interaction between brain structures and elements of the autonomous control of blood circulation is an important and open issue. For 30 healthy young men, we performed synchronous recording of electroencephalogram (EEG) and photoplethysmogram (PPG) signals during rest and episodic stress, implemented using Stroop color word test and mental arithmetic test. During episodic stress, a statistically significant $(\text{p}\lt 0.05)$ increase in the power of low-frequency (LF) oscillations (0.04-0.14 Hz) and a decrease in the power of high-frequency (HF) oscillations (0.14-0.40 Hz) of the EEG derivation signals of the left and right hemispheres were revealed; drop in coherence between EEG oscillations of the left and right hemispheres in the LF frequency range; an increase in coherence between the EEG oscillations of the left and right hemispheres and the PPG signal in the LF frequency range. The performance of the calculated characteristics for the classification of stress and rest situations is shown.