EEG MACHINE AND THE NEURO-SCIENCE RESEARCH IN VIETNAM
Main Article Content
Abstract
The article introduces an electroencephalogram (EEG) and the steps to conduct an EEG experiment. The features and the technical structure of the machine are presented. The paper lists the nine steps of an experiment as a guideline for designing a similar experiment. The maintenance of the machine after an experiment is also discussed. This is a foundation for conducting experiments in the field of neuro-science in Vietnam.
Keywords
electroencephalogram (EEG), neuro-science, practical experience, scientific research
Article Details
References
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Alix, J. J., Ponnusamy, A., Pilling, E., & Hart, A. R. (2017). An introduction to neonatal EEG. Paediatrics and Child Health, 27(3), 135-142.
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Amezcua-Gutiérrez, C., Hernández-González, M., Guasti, A. F., Aguilar, M. A. C., & Guevara, M. A. (2021). Observing Erotic Videos with Heterosexual Content Induces Different Cerebral Responses in Homosexual and Heterosexual Men. Journal of homosexuality, 68(1), 138-156.
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Horat, S. K., Favre, G., Prévot, A., Ventura, J., Herrmann, F. R., Gothuey, I., ... & Missonnier, P. (2018). Impaired social cognition in schizophrenia during the Ultimatum Game: an EEG study. Schizophrenia research, 192, 308-316.
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Ianof, J. N., & Anghinah, R. (2017). Traumatic brain injury: An EEG point of view. Dementia & neuropsychologia, 11(1), 3-5.
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Liu, Y., Sourina, O., Liew, H. P., Salem, H. S., & Ang, E. (2017). Human factors evaluation in maritime virtual simulators using mobile EEG-based neuroimaging. Transdisciplinary Engineering: A Paradigm Shift, 5, 261-268.
Luck, S. J. (2005). An introduction to the event-related potential technique. MIT Press. Page 304 - Chapter 8.
Malik, A. S., & Amin, H. U. (2017). Designing EEG experiments for studying the brain: Design code and example datasets. Academic Press.
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Nidal, K., & Malik, A. S. (Eds.). (2014). EEG/ERP analysis: methods and applications. Crc Press.
Padfield, N., Zabalza, J., Zhao, H., Masero, V., & Ren, J. (2019). EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges. Sensors, 19(6), 1423.
Price, J., & Budzynski, T. (2009). Anxiety, EEG patterns, and neurofeedback. Introduction to quantitative EEG and neurofeedback: Advanced theory and applications, 453-470.
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Schneider, D., Zickerick, B., Thönes, S., & Wascher, E. (2020). Encoding, storage, and response preparation—Distinct EEG correlates of stimulus and action representations in working memory. Psychophysiology, 57(6), e13577.
Siuly, S., Li, Y., & Zhang, Y. (2016). EEG signal analysis and classification. IEEE Trans Neural Syst Rehabilit Eng, 11, 141-144.
Song, Z., Liu, C., Shi, R., Zhang, M., Wang, H., & Mei, Y. (2020). Neural activities during the evaluation of luxury goods-to-service brand extension: An event-related potentials (ERPs) study. Journal of Neuroscience, Psychology, and Economics, 13(3), 127.
Szurhaj, W., Lamblin, M. D., Kaminska, A., & Sediri, H. (2015). EEG guidelines in the diagnosis of brain death. Neurophysiologie Clinique/Clinical Neurophysiology, 45(1), 97-104.
Ünal, Ö., Özcan, Ö., Öner, Ö., Akcakin, M., Aysev, A., & Deda, G. (2009). EEG and MRI findings and their relation with intellectual disability in pervasive developmental disorders. World Journal of Pediatrics, 5(3), 196-200.
Yadava, M., Kumar, P., Saini, R., Roy, P. P., & Dogra, D. P. (2017). Analysis of EEG signals and its application to neuromarketing. Multimedia Tools and Applications, 76(18), 19087-19111.
Alix, J. J., Ponnusamy, A., Pilling, E., & Hart, A. R. (2017). An introduction to neonatal EEG. Paediatrics and Child Health, 27(3), 135-142.
Alwedaie, S. A., Khabbaz, H. A., Hadi, S. R., & Al-Hakim, R. (2018). EEG-based analysis for learning through virtual reality environment. Journal of Biosensors and Bioelectronics,
9(1), 249.
Amezcua-Gutiérrez, C., Hernández-González, M., Guasti, A. F., Aguilar, M. A. C., & Guevara, M. A. (2021). Observing Erotic Videos with Heterosexual Content Induces Different Cerebral Responses in Homosexual and Heterosexual Men. Journal of homosexuality, 68(1), 138-156.
Antonenko, P., Paas, F., Grabner, R., & Van Gog, T. (2010). Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425-438.
Babiker, A., Faye, I., Mumtaz, W., Malik, A. S., & Sato, H. (2019). EEG in classroom: EMD features to detect situational interest of students during learning. Multimedia Tools and Applications, 78(12), 16261-16281.
Clarke, A. R., Barry, R. J., & Johnstone, S. (2020). Resting state EEG power research in attention-deficit/hyperactivity disorder: a review update. Clinical Neurophysiology, 131(7),
1463-1479.
Cooper, R., Osselton, J. W., & Shaw, J. C. (2014). EEG technology. Butterworth-Heinemann.
Davidson, R. J., Jackson, D. C. & Larson, C. L. (2000). Human electroencephalography. In: Cacioppo JT, Tassinary LG, Berntson GG, editors. Handbook of psychophysiology. 2. Cambridge, UK: Cambridge University Press.
Horat, S. K., Favre, G., Prévot, A., Ventura, J., Herrmann, F. R., Gothuey, I., ... & Missonnier, P. (2018). Impaired social cognition in schizophrenia during the Ultimatum Game: an EEG study. Schizophrenia research, 192, 308-316.
Huang, H., Xie, Q., Pan, J., He, Y., Wen, Z., Yu, R., & Li, Y. (2019). An EEG-based brain computer interface for emotion recognition and its application in patients with Disorder of Consciousness. IEEE Transactions on Affective Computing.
Ianof, J. N., & Anghinah, R. (2017). Traumatic brain injury: An EEG point of view. Dementia & neuropsychologia, 11(1), 3-5.
Ibanez, A., Melloni, M., Huepe, D., Helgiu, E., Rivera-Rei, A., Canales-Johnson, A., ... & Moya, A. (2012). What event-related potentials (ERPs) bring to social neuroscience?. Social neuroscience, 7(6), 632-649.
Liu, Y., Sourina, O., Liew, H. P., Salem, H. S., & Ang, E. (2017). Human factors evaluation in maritime virtual simulators using mobile EEG-based neuroimaging. Transdisciplinary Engineering: A Paradigm Shift, 5, 261-268.
Luck, S. J. (2005). An introduction to the event-related potential technique. MIT Press. Page 304 - Chapter 8.
Malik, A. S., & Amin, H. U. (2017). Designing EEG experiments for studying the brain: Design code and example datasets. Academic Press.
Nandi, A., Xhafa, F., Subirats, L., & Fort, S. (2021). Real-time emotion classification using eeg data stream in e-learning contexts. Sensors, 21(5), 1589.
Nidal, K., & Malik, A. S. (Eds.). (2014). EEG/ERP analysis: methods and applications. Crc Press.
Padfield, N., Zabalza, J., Zhao, H., Masero, V., & Ren, J. (2019). EEG-based brain-computer interfaces using motor-imagery: Techniques and challenges. Sensors, 19(6), 1423.
Price, J., & Budzynski, T. (2009). Anxiety, EEG patterns, and neurofeedback. Introduction to quantitative EEG and neurofeedback: Advanced theory and applications, 453-470.
Ramirez, R., & Vamvakousis, Z. (2012, December). Detecting emotion from EEG signals using the emotive epoc device. In International Conference on Brain Informatics (pp. 175-184). Springer, Berlin, Heidelberg.
Schneider, D., Zickerick, B., Thönes, S., & Wascher, E. (2020). Encoding, storage, and response preparation—Distinct EEG correlates of stimulus and action representations in working memory. Psychophysiology, 57(6), e13577.
Siuly, S., Li, Y., & Zhang, Y. (2016). EEG signal analysis and classification. IEEE Trans Neural Syst Rehabilit Eng, 11, 141-144.
Song, Z., Liu, C., Shi, R., Zhang, M., Wang, H., & Mei, Y. (2020). Neural activities during the evaluation of luxury goods-to-service brand extension: An event-related potentials (ERPs) study. Journal of Neuroscience, Psychology, and Economics, 13(3), 127.
Szurhaj, W., Lamblin, M. D., Kaminska, A., & Sediri, H. (2015). EEG guidelines in the diagnosis of brain death. Neurophysiologie Clinique/Clinical Neurophysiology, 45(1), 97-104.
Ünal, Ö., Özcan, Ö., Öner, Ö., Akcakin, M., Aysev, A., & Deda, G. (2009). EEG and MRI findings and their relation with intellectual disability in pervasive developmental disorders. World Journal of Pediatrics, 5(3), 196-200.
Yadava, M., Kumar, P., Saini, R., Roy, P. P., & Dogra, D. P. (2017). Analysis of EEG signals and its application to neuromarketing. Multimedia Tools and Applications, 76(18), 19087-19111.