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.

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Background: The perimenopausal period is associated with higher risk for various mood disorders. Resting-state EEG (rsEEG) brain oscillatory activity has been associated with various neuropsychological disorders and behaviors but has not been assessed in perimenopausal women. Aim: This study aimed to evaluate quantitative relationships between psychometric properties and rsEEG rhythms (δ, θ, α, and γ powers) in perimenopausal women. Methods: A cross-sectional correlational descriptive study was conducted to quantitatively analyze the correlations among rsEEG low to high band activity (δ, θ, α, and γ powers) and psychometric properties for 14 perimenopausal women. Participants completed a psychological inventory comprised of a State Anxiety Inventory (SAI), Depression Inventory (DI), Behavioral Inhibition Scale (BIS), and short-form UPPS Impulsive Behavior Scale (IS) before EEG recording. Results: Results showed that impulsivity was positively related to the β power, symmetrical at most channels (frontal, temporal, central, parietal, and occipital regions; p <.05), but did not relate to the δ, θ, α, and γ powers. The brainwave low to high bands, δ, θ, α, β, and γ power, were not associated with DI, SAI, or BIS scores. Conclusions: This study’s findings suggest that significantly enhanced resting-state beta activity is a trait marker of impulsivity in perimenopausal women. This finding has potential implications for preclinical or clinical evaluation of perimenopausal women.

This aim of the mini-review paper is to introduction the bio-physiologic measures of resting state EEG for nursing scientist. Article specifically addresses the emotional domain as clarified by concepts of brain evidence-based nursing research reviewed that the emotion aspect documented a strong link to frontal brain alpha activities asymmetry.  Extensive nursing research has been performed in emotional, behavioral, and/or psychological matters for healthy and unhealthy populations. Evidence-based nursing can transform the way that data is used to improve health and healthcare. One core role of nursing practice is to promote healthy behaviors. Previous researches have shown out that the brain is the main ambassador of behavioral change. The electroencephalogram (EEG) is an efficient tool to study brain-behavior relations. Evidences show that frontal alpha asymmetry is an important marker suggests that EEG is beneficial for assessment emotional capacities and appraises nursing efficiency. The basic resting alpha frontal asymmetry provides a reliable instrument in conducting nursing researches in order to strengthen the quality of nursing. Furthermore, we provide a viewpoint to show progress in the novel research issue probably for clinical applications. To integrate biological measures in order to gain highly accurate and precise advantages of EEG and beneficial assessment of the emotional capacities are suggested. Nursing promotes healthy behaviors including emotional health. Human behavior changes originate in the brain. EEG enables objective and biological insights into the cognitive process. As a foundation, the neuroscience research requires profound knowledge and tools to analyze bio-physiological data. Creating Cross-disciplinary cooperation must be inevitable alliances to advance nursing research.

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