TY - JOUR

T1 - Female neuropsychological traits across the menstrual cycle

AU - Bazanova, O.M.

AU - Zhou, R.

PY - 2023/6

Y1 - 2023/6

N2 - One of the interesting and little studied areas of psychophysiology is the study of the relationship between hormonal and higher nervous activity. In clarifying these interactions, research on exogenous hormones or hormone deficiency influences cognitive and affective functions contribute significantly. Meanwhile, there is another natural model of changing endogenous levels of hormones during a month’s normal menstrual cycle of women. The relevance of studying the influence of cyclical hormonal fluctuations on the cognitive, psychomotor and emotional state of women contributes to a very important problem of women’s reproductive potential. Research questions we would like to discuss at this symposium: (1) How can menstrual models be calibrated to account for individual differences, for example, in neuropsychological cognitive, affective and psychomotor ability? (2) How can we classify the hormonal cognitive activity of women to predict the outcome of activities, for example by differentiating successful from failed cognitive or psychomotor performance coding? (3) How can EEG and MEG predictors of cognitive and affective functions be classified according to hormonal states for use in the Brain-Computer Interface (BCI) and Biofeedback? For the discussion these issues Renlai Zhou (Ph.D. from Department of Psychology, School of Social and Behavioral Science, Nanjing University, Jiangsu Province, China) will present results of comparison of magnetoencephalography recording of twenty women with high and low premenstrual symptoms while they completed a monetary incentive delay task during their late luteal phase. Stroganova Tatiana Alexandrovna, Prof, DSc (Moscow MEG Center, Moscow State University of Psychology and Education) and coauthors, will present evidence from magnetoencephalographic gamma oscillations and perceptual suppression on the altered visual cortex excitability in premenstrual dysphoric disorder. Concertmaster of Macedonian symphony Anna Kondratenko (Skopje, North Macedonia) will present data on the dependence of musical training efficiency on the menstrual cycle phase and type of feedback receiving during the practice. Olga M. Bazanova (PhD, Dr.Sci, Professor from Institute of Neuroscience and Medicine, Novosibirsk, Russia) will present an overview of research on how EEG indices of the cognitive, psychomotor and affective functions are changing according to hormonal states and what approaches to using this data in the Brain-Computer Interface (BCI) and Neurofeedback technology.

AB - One of the interesting and little studied areas of psychophysiology is the study of the relationship between hormonal and higher nervous activity. In clarifying these interactions, research on exogenous hormones or hormone deficiency influences cognitive and affective functions contribute significantly. Meanwhile, there is another natural model of changing endogenous levels of hormones during a month’s normal menstrual cycle of women. The relevance of studying the influence of cyclical hormonal fluctuations on the cognitive, psychomotor and emotional state of women contributes to a very important problem of women’s reproductive potential. Research questions we would like to discuss at this symposium: (1) How can menstrual models be calibrated to account for individual differences, for example, in neuropsychological cognitive, affective and psychomotor ability? (2) How can we classify the hormonal cognitive activity of women to predict the outcome of activities, for example by differentiating successful from failed cognitive or psychomotor performance coding? (3) How can EEG and MEG predictors of cognitive and affective functions be classified according to hormonal states for use in the Brain-Computer Interface (BCI) and Biofeedback? For the discussion these issues Renlai Zhou (Ph.D. from Department of Psychology, School of Social and Behavioral Science, Nanjing University, Jiangsu Province, China) will present results of comparison of magnetoencephalography recording of twenty women with high and low premenstrual symptoms while they completed a monetary incentive delay task during their late luteal phase. Stroganova Tatiana Alexandrovna, Prof, DSc (Moscow MEG Center, Moscow State University of Psychology and Education) and coauthors, will present evidence from magnetoencephalographic gamma oscillations and perceptual suppression on the altered visual cortex excitability in premenstrual dysphoric disorder. Concertmaster of Macedonian symphony Anna Kondratenko (Skopje, North Macedonia) will present data on the dependence of musical training efficiency on the menstrual cycle phase and type of feedback receiving during the practice. Olga M. Bazanova (PhD, Dr.Sci, Professor from Institute of Neuroscience and Medicine, Novosibirsk, Russia) will present an overview of research on how EEG indices of the cognitive, psychomotor and affective functions are changing according to hormonal states and what approaches to using this data in the Brain-Computer Interface (BCI) and Neurofeedback technology.

UR - https://www.elibrary.ru/item.asp?id=63623800

UR - https://www.mendeley.com/catalogue/87cef5dc-a392-39b2-9d53-d2622449b3f9/

U2 - 10.1016/j.ijpsycho.2023.05.010

DO - 10.1016/j.ijpsycho.2023.05.010

M3 - Article

VL - 188

SP - 5

JO - International Journal of Psychophysiology

JF - International Journal of Psychophysiology

SN - 0167-8760

ER -