Brain Evidence in Nursing Research: EEG Methodology

Yueh-O  Chuang; Ren-Jen Hwang

doi:10.21467/ias.10.1.98-101

Authors

Yueh-O Chuang Nursing Department, Chang Gung Memorial Hospital, Linkou, Taiwan
Ren-Jen Hwang Chang Gung University of Science and Technology, Tao-Yuan, Taiwan https://orcid.org/0000-0003-4857-1147

DOI:

https://doi.org/10.21467/ias.10.1.98-101

Abstract

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.

Keywords:

Electroencephalogram (EEG), Brain, Emotion, Nursing Research

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References

Noble, H., and Barrett, D.: ‘Adult Nursing’, Evid Based Nurs, 2017, 20, (4), pp. 104-106

Twycross, A., and Smith, J.: ‘Perspectives on current child health issues’, Evid Based Nurs, 2016, 19, (4), pp. 107-109

Huang, F.J., Chien, D.K., and Chung, U.L.: ‘Effects of Hatha yoga on stress in middle-aged women’, J Nurs Res, 2013, 21, (1), pp. 59-66

Huang, T.T., and Dai, F.T.: ‘Weight retention predictors for Taiwanese women at six-month postpartum’, J Nurs Res, 2007, 15, (1), pp. 11-20

Nguyen, L., Murphy, K., and Andrews, G.: ‘Cognitive and neural plasticity in old age: A systematic review of evidence from executive functions cognitive training’, Ageing Res Rev, 2019, 53, pp. 100912

Chrousos, G.P., and Gold, P.W.: ‘The concepts of stress and stress system disorders. Overview of physical and behavioral homeostasis’, JAMA, 1992, 267, (9), pp. 1244-1252

Caeyenberghs, K., Clemente, A., Imms, P., Egan, G., Hocking, D.R., Leemans, A., Metzler-Baddeley, C., Jones, D.K., and Wilson, P.H.: ‘Evidence for Training-Dependent Structural Neuroplasticity in Brain-Injured Patients: A Critical Review’, Neurorehabil Neural Repair, 2018, 32, (2), pp. 99-114

Atalla, S.W., Kalvas, L.B., Campbell, J.L., Anderson, A.R., Cowan, R.L., Wright, K., Humbel, A.C., and Monroe, T.B.: ‘Neuroimaging Methods for Nursing Science’, Nurs Res, 2020, 69, (3), pp. 219-226

McPhilemy, G., Nabulsi, L., Kilmartin, L., Whittaker, J.R., Martyn, F.M., Hallahan, B., McDonald, C., Murphy, K., and Cannon, D.M.: ‘Resting-State Network Patterns Underlying Cognitive Function in Bipolar Disorder: A Graph Theoretical Analysis’, Brain Connect, 2020

Ko, S., and Park, W.: ‘Effects of quantitative electroencephalography based neurofeedback training on autonomous regulations in patients with alcohol use disorder’, Asian Nurs Res (Korean Soc Nurs Sci), 2018

Palmiero, M., and Piccardi, L.: ‘Frontal EEG Asymmetry of Mood: A Mini-Review’, Front Behav Neurosci, 2017, 11, pp. 224

Smith, E.E., Reznik, S.J., Stewart, J.L., and Allen, J.J.: ‘Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry’, Int J Psychophysiol, 2017, 111, pp. 98-114

Coan, J.A., and Allen, J.J.: ‘Frontal EEG asymmetry and the behavioral activation and inhibition systems’, Psychophysiology, 2003, 40, (1), pp. 106-114

Goodman, R.N., Rietschel, J.C., Lo, L.C., Costanzo, M.E., and Hatfield, B.D.: ‘Stress, emotion regulation and cognitive performance: the predictive contributions of trait and state relative frontal EEG alpha asymmetry’, Int J Psychophysiol, 2013, 87, (2), pp. 115-123

Davidson, R.J.: ‘What does the prefrontal cortex "do" in affect: perspectives on frontal EEG asymmetry research’, Biol Psychol, 2004, 67, (1-2), pp. 219-233

Reznik, S.J., and Allen, J.J.B.: ‘Frontal asymmetry as a mediator and moderator of emotion: An updated review’, Psychophysiology, 2018, 55, (1)

Papousek, I., Reiser, E.M., Weber, B., Freudenthaler, H.H., and Schulter, G.: ‘Frontal brain asymmetry and affective flexibility in an emotional contagion paradigm’, Psychophysiology, 2012, 49, (4), pp. 489-498

Cook, I.A., O'Hara, R., Uijtdehaage, S.H., Mandelkern, M., and Leuchter, A.F.: ‘Assessing the accuracy of topographic EEG mapping for determining local brain function’, Electroencephalogr Clin Neurophysiol, 1998, 107, (6), pp. 408-414

Hwang, S., Nolan, Z.T., White, S.F., Williams, W.C., Sinclair, S., and Blair, R.J.: ‘Dual neurocircuitry dysfunctions in disruptive behavior disorders: emotional responding and response inhibition’, Psychol Med, 2016, 46, (7), pp. 1485-1496

Banks, S.J., Eddy, K.T., Angstadt, M., Nathan, P.J., and Phan, K.L.: ‘Amygdala-frontal connectivity during emotion regulation’, Soc Cogn Affect Neurosci, 2007, 2, (4), pp. 303-312

Weerdmeester, J., van Rooij, M.M., Engels, R.C., and Granic, I.: ‘An Integrative Model for the Effectiveness of Biofeedback Interventions for Anxiety Regulation: Viewpoint’, J Med Internet Res, 2020, 22, (7), pp. e14958

Green, L., and Barrett, D.: ‘EBN Perspectives, Mental Health’, Evid Based Nurs, 2020, 23, (1), pp. 11-14

Hung, C.H.: ‘Measurement of Nursing Outcomes From the Perspective of the Nursing Domain’, J Nurs Res, 2020, 28, (3), pp. e84

Krigolson, O.E., Williams, C.C., Norton, A., Hassall, C.D., and Colino, F.L.: ‘Choosing MUSE: Validation of a Low-Cost, Portable EEG System for ERP Research’, Front Neurosci, 2017, 11, pp. 109

Rey, B., Rodriguez, A., and Alcaniz, M.: ‘Using portable EEG devices to evaluate emotional regulation strategies during Virtual Reality exposure’, Stud Health Technol Inform, 2012, 181, pp. 223-227