Association between resting-state EEG oscillation and psychometric properties in perimenopausal women

Abstract

Background The perimenopausal period is associated with a higher risk of various mood disorders. Similarly, although resting-state electroencephalogram (rsEEG) brain oscillatory activity has been associated with various neuropsychological disorders and behaviours, these issues have not been assessed in perimenopausal women. This study aimed to evaluate quantitative relationships between psychometric properties and rsEEG rhythms (delta, theta, alpha, beta and gamma powers) in perimenopausal women. Methods A cross-sectional correlational descriptive study was conducted to quantitatively analyze the correlations between rsEEG low-to-high band activities (delta, theta, alpha, beta, and gamma powers) and psychometric properties in 14 perimenopausal women. Participants completed a psychological inventory comprising the State Anxiety Inventory (SAI), Depression Inventory (DI), Behavioural Inhibition Scale (BIS) and short-form UPPS Impulsive Behaviour Scale (IS) before EEG recording. Results Results showed that impulsivity was positively related to the beta power, symmetrical at most channels (frontal, temporal, central, parietal and occipital regions; p < .05); but did not related to the delta, theta, alpha and gamma powers. The brainwave low-to-high bands, delta, theta, alpha, beta and gamma power were not associated with DI, SAI or BIS scores. Conclusions This study’s findings propose that significantly enhanced resting-state beta activity is a trait of impulsivity in perimenopausal women. Therefore, results have potential implications for the preclinical or clinical evaluation of these issues in perimenopausal women.

Dorsal brain activity reflects the severity of menopausal symptoms

“…58 Previous studies using EEG have reported that patients with sleep difficulties during the menopausal transition showed increased beta oscillatory intensity during sleep, 66 and impulsivity associated with menopause was positively related to the beta power. 67 These findings also support our observation that participants with more severe unpleasantness showed enhanced beta oscillatory activity. In contrast, gamma oscillatory activity has a much higher frequency and is associated with neural inhibition 68 (ie, gain control) in cortices and provides insights into activity in local cortical networks.…”

“…All sensory inputs to the cortices, except for olfactory, are relayed by the thalamus, which is rich in sex hormone receptors 56,57 and plays an important role in sensory gain control 58 . Previous studies using EEG have reported that patients with sleep difficulties during the menopausal transition showed increased beta oscillatory intensity during sleep, 66 and impulsivity associated with menopause was positively related to the beta power 67 . These findings also support our observation that participants with more severe unpleasantness showed enhanced beta oscillatory activity.…”

Diversity and limitations of electroencephalogram and event‐related potential applications in nursing research: A scoping review

“…A total of 45 studies were identified that met the inclusion criteria for this scoping review. Twenty-five studies utilized EEG frequency waves as outcome measures (e.g., Delta, Theta, Alpha, Beta, Gamma), while 19 studies employed ERP as outcome measures (e.g., P3, P2, N1, N2, P1, N170), and one study (Wong et al, 2018) (Benoit et al, 2021;Bi et al, 2022;Cai et al, 2022;Campbell-Yeo et al, 2022;Cao et al, 2015;Cao et al, 2017; Francisco et al, 2019;Gong et al, 2022;Hwang et al, 2019;Hwang et al, 2022;Kim et al, 2018;Kim et al, 2022;Lees et al, 2020;Peters et al, 2014;Shepherd et al, 1999;Shiroshita et al, 2021;Sung et al, 2022;Välimäki et al, 2021;Yang et al, 2012;Yang et al, 2016;Zhao et al, 2021).…”

“…The studies included in this review involved 14 countries, mainly including 12 studies from China, six from Korea, five from the United States, five from Australia, and four from Japan. There were 26 studies conducted in cooperation with researchers in nursing and other disciplines, especially with psychology and neuroscience researchers (Benoit et al, 2021; Bi et al, 2022; Cai et al, 2022; Campbell‐Yeo et al, 2022; Cao et al, 2015; Cao et al, 2017; Cao, Si, Li, & Guo, 2022; Cao, Si, Li, Guo, & Yue, 2022; Cui et al, 2021; Dai et al, 2016; Fitriana et al, 2021; Francisco et al, 2019; Gong et al, 2022; Hwang et al, 2019; Hwang et al, 2022; Kim et al, 2018; Kim et al, 2022; Lees et al, 2020; Peters et al, 2014; Shepherd et al, 1999; Shiroshita et al, 2021; Sung et al, 2022; Välimäki et al, 2021; Yang et al, 2012; Yang et al, 2016; Zhao et al, 2021).…”

“…Studies have used EEG to evaluate the effect of interventions on healthy adults, such as mindfulness (Kim et al, 2022; Severtsen & Bruya, 1986), aerobic exercise (Severtsen & Bruya, 1986), music (Bruya & Severtsen, 1984). One study investigated the association between psychometric properties and EEG of perimenopausal women (Hwang et al, 2022), and another study used EEG to determine the optimal walking speed for neural relaxation in healthy elderly women (Shibata et al, 1997). ERP was also used to evaluate the effect of aerobic exercise (Hwang et al, 2019).…”