Systemic processes in the brain: The EEG study on the emotions of different hierarchical levels and signs

Mekler, Alexey; Gorbunov, Ivan; Гаврилов, В.В.

doi:10.1016/j.ijpsycho.2014.08.794

Cited by 4 publications

(5 citation statements)

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“…Для разных видов тревожности это влияние неоднозначно. Можно предположить, что негативные эмоции, сопутствующие тревожности, уменьшают фрактальную размерность (Mekler et al, 2014), однако общая активация мозга, соответствующая концентрации внимания на вопросе и неоднозначности его понимания, может повышать фрактальную размерность.…”

Section: обсуждение результатов исследованияunclassified

“…Зависимость фрактальной размерности ЭЭГ при ответах на вопросы от интеллектуальных способностей в целом не противоречит гипотезе нейроэффективности (Mekler еt al., 2014;Shcherbakova et al, 2014), однако у разных функциональных блоков мозга существуют свои особенности. Эмоциональное состояние и тревожность также неоднозначно связаны с фрактальной размерностью, и если основные связи отражают снижение фрактальной размерности при повышении отрицательных эмоций (Mekler et al, 2014), то некоторые, связанные, видимо, с общей активацией, наоборот, повышают фрактальную размерность.…”

Section: выводыunclassified

“…Современные работы по изучению и моделированию речевых механизмов человека базируются на нейросетевых моделях психосемантики в сочетании с данными электроэнцефалограммы (ЭЭГ) и ФМРТ (Gillis et al, 2021;Gorbunov et al, 2019;Just et al, 2010;Lutzenberger et al, 1992). Если мы представляем психические явления в контексте их нейросетевых моделей, зачастую можно рассматривать динамику их работы в контексте системно-динамических теорий и соотносить явления с термином «сложность» (Холодная и др., 2013; Gorbunov et al, 2019;Mekler et al, 2014;Tkacheva et al, 2015). С нашей точки зрения, необходимо изучение вопроса о влиянии различных языковых параметров тестового вопроса на сложность протекания физиологических процессов в мозге и учет этих особенностей при создании тестов в детекции лжи.…”

Section: Introductionunclassified

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Factors of cognitive complexity of test questions in psychophysiological studies

Gorbunov,

Kuprikova

2023

Vestnik SPbSU. Psychology

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The paper presents the results of a study of the functional state evaluations of the brain during auditory perception. The subjects listened 60 questions with different linguistic characteristics, taken from polygraph database templates, and answered to them. This characteristics: is the number of different types of words, the percentage of words from different parts of speech, the number of negations, the presence of forms of personal pronouns and their place in the question, the number of letters, the percentage of vowels, the position of intonational stress. As psychological characteristics that affect the functional state of the brain, the following were measured: verbal intelligence according to the R.Amthauer’s test, personal and situational anxiety according to the Spielberger — Khanin test. To measure the functional state of the brain, a 19-channel EEG was recorded in the 10–20% system. The functional state of the brain was assessed by calculating the fractal dimension of the EEG using the method. The sample consisted of students and employees of a number of educational institutions in St Petersburg, 9 men and 8 women aged 19 to 59 years. An analysis of the experimental data made it possible to confirm the hypothesis about the influence of the measured questionnaire characteristics, the linguistic characteristics of the questions, and the psychological characteristics of the subjects on the fractal dimension of the EEG. EEG analysis in various leads revealed two EEG “complexity” factors related to the frontal and occipital areas of the brain. A regression model was obtained for assessing the cognitive complexity of a particular test question, which is reflected in the complexity of the EEG curve of the subject perceiving this question. The resulting model allows you to select questions for psychophysiological examination that have the required level of cognitive complexity. The results of the work testify to the importance of such an indicator as the fractal dimension of the EEG for studying the functional state of the brain and its dependence both on the personal and biological characteristics of a person, and on the emotional state and complexity of the information received by the analyzers.

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Section: обсуждение результатов исследованияunclassified

Section: выводыunclassified

Section: Introductionunclassified

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Factors of cognitive complexity of test questions in psychophysiological studies

Gorbunov,

Kuprikova

2023

Vestnik SPbSU. Psychology

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“…By using good and strong stimulation, emotion recognition is more likely to be performed with better results and higher accuracy. There are some types of stimulation as follow: pictures, 12-43 video clips, [44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60] music, [61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76] memories, 77 self-induction, 78,80,81 environment elicitation like light, humidity and temperature, 79 games, 82 etc. Some ways of eliciting emotions and some induced emotions are listed in Table 1.…”

Section: Emotion Stimulationmentioning

confidence: 99%

“…Also they calculated Renyi entropy as well. Liu et al 55 calculated Higuchi's fractal dimension. They processed EEG signals while participants were listening to music.…”

Section: Offline or Online Recognitionmentioning

confidence: 99%