Dasar - Dasar Electroencephalography (EEG) bagi Riset Psikologi
Abstract
Keywords
DOI: 10.22146/buletinpsikologi.52328
References
Amodio, D. M., Jost, J. T., Master, S. L., & Yee, C. M. (2007). Neurocognitive correlates of liberalism and conservatism. Nature Neuroscience, 10(10), 1246–1247. https://doi.org/10.1038/nn1979
Azevedo, F. A. C., Carvalho, L. R. B., Grinberg, L. T., Farfel, J. M., Ferretti, R. E. L., Leite, R. E. P., … Herculano-Houzel, S. (2009). Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. The Journal of Comparative Neurology, 513(5), 532–541. https://doi.org/10.1002/cne.21974
Bandara, D. S. V., Arata, J., & Kiguchi, K. (2018). Towards control of a transhumeral prosthesis with EEG signals. Bioengineering, 5(2), 26. https://doi.org/10.3390/bioengineering5020026
Bauer, R. M., & Dunn, C. B. (2013). Research methods in neuropsychology. Dalam I. B. Weiner, J. A. Schinka, & W. F. Velicer, Handbook of psychology: Research methods in psychology (Volume II, Edisi kedua), (hal. 274–315). John Wiley & Sons Inc.
Binnie, C. D., & Prior, P. F. (1994). Electroencephalography. Journal of Neurology, Neurosurgery & Psychiatry, 57(11), 1308–1319. https://doi.org/10.1136/jnnp.57.11.1308
Borck, C., & Hentschel, A. (2018). Brainwaves: A cultural history of electroencephalography. Routledge/Taylor & Francis Group.
Boshra, R., Ruiter, K. I., DeMatteo, C., Reilly, J. P., & Connolly, J. F. (2019). Neurophysiological correlates of concussion: Deep learning for clinical assessment. Scientific Reports, 9(1), 17341. https://doi.org/10.1038/s41598-019-53751-9
Bötzel, K., Schulze, S., & Stodieck, StefanR. G. (1995). Scalp topography and analysis of intracranial sources of face-evoked potentials. Experimental Brain Research, 104(1), 135-143. https://doi.org/10.1007/BF00229863
Coan, J. A., & Allen, J. J. B. (2004). Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology, 67(1–2), 7–50. https://doi.org/10.1016/j.biopsycho.2004.03.002
Cohen, M. X., & Ridderinkhof, K. R. (2013). EEG source reconstruction reveals frontal-parietal dynamics of spatial conflict processing. PLoS One, 8(2), e57293. https://doi.org/10.1371/journal.pone.0057293
Craik, A., He, Y., & Contreras-Vidal, J. L. (2019). Deep learning for electroencephalogram (EEG) classification tasks: A review. Journal of Neural Engineering, 16(3), 031001. https://doi.org/10.1088/1741-2552/ab0ab5
Davidson, R. J. (1998a). Affective style and affective disorders: perspectives from affective neuroscience. Cognition & Emotion, 12(3), 307–330. https://doi.org/10.1080/026999398379628
Davidson, R. J. (1998b). Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums. Psychophysiology, 35(5), 607–614. https://doi.org/10.1017/S0048577298000134
Davidson, R. J. (2004). What does the prefrontal cortex “do” in affect: Perspectives on frontal EEG asymmetry research. Biological Psychology, 67(1–2), 219–234. https://doi.org/10.1016/j.biopsycho.2004.03.008
Di Russo, F. (2003). Source analysis of event-related cortical activity during visuo-spatial attention. Cerebral Cortex, 13(5), 486–499. https://doi.org/10.1093/cercor/13.5.486
Dickter, C., & Kieffaber, P. (2014). EEG Methods for the Psychological Sciences. SAGE Publications Ltd. https://doi.org/10.4135/9781446270356
Duzel, E., Yonelinas, A. P., Mangun, G. R., Heinze, H.-J., & Tulving, E. (1997). Event-related brain potential correlates of two states of conscious awareness in memory. Proceedings of the National Academy of Sciences, 94(11), 5973–5978. https://doi.org/10.1073/pnas.94.11.5973
Eimer, M. (2011). The face-sensitivity of the N170 component. Frontiers in Human Neuroscience, 5, 119. https://doi.org/10.3389/fnhum.2011.00119
Farwell, L. A., & Donchin, E. (1988). Talking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology, 70(6), 510–523. https://doi.org/10.1016/0013-4694(88)90149-6
Fraga González, G., Smit, D. J. A., van der Molen, M. J. W., Tijms, J., Stam, C. J., de Geus, E. J. C., & van der Molen, M. W. (2018). EEG resting state functional connectivity in adult dyslexics using phase lag index and graph analysis. Frontiers in Human Neuroscience, 12, 341. https://doi.org/10.3389/fnhum.2018.00341
Garrido, M. I., Kilner, J. M., Stephan, K. E., & Friston, K. J. (2009). The mismatch negativity: A review of underlying mechanisms. Clinical Neurophysiology, 120(3), 453–463. https://doi.org/10.1016/j.clinph.2008.11.029
Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2009). Cognitive neuroscience: The biology of the mind (Edisi ketiga). W.W. Norton.
Grau, C., Ginhoux, R., Riera, A., Nguyen, T. L., Chauvat, H., Berg, M., … Ruffini, G. (2014). Conscious brain-to-brain communication in humans using non-invasive technologies. PLoS One, 9(8), e105225. https://doi.org/10.1371/journal.pone.0105225
Handy, T. C. (Ed.). (2005). Event-related potentials: A methods handbook. MIT Press.
Hjorth, B. (1970). EEG analysis based on time domain properties. Electroencephalography and Clinical Neurophysiology, 29(3), 306–310. https://doi.org/10.1016/0013-4694(70)90143-4
Jiang, X., Bian, G.-B., & Tian, Z. (2019). Removal of artifacts from EEG signals: A review. Sensors, 19(5), 987. https://doi.org/10.3390/s19050987
Jung, T.-P., Makeig, S., Humphries, C., Lee, T.-W., Mckeown, M. J., Iragui, V., & Sejnowski, T. J. (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37(2), 163–178. https://doi.org/10.1111/1469-8986.3720163
Kaiser, A. K., Gnjezda, M.-T., Knasmüller, S., & Aichhorn, W. (2018). Electroencephalogram alpha asymmetry in patients with depressive disorders: Current perspectives. Neuropsychiatric Disease and Treatment, 14, 1493–1504. https://doi.org/10.2147/NDT.S137776
Kalat, J. W. (2016). Biological psychology (Edisi ketiga belas). Cengage Learning.
Kamel, N., & Malik, A. S. (Eds.) (2015). EEG/ERP analysis: Methods and applications (Edisi pertama). CRC Press.
Kang, G., Jin, S.-H., Keun Kim, D., & Kang, S. W. (2018). T59. EEG artifacts removal using machine learning algorithms and independent component analysis. Clinical Neurophysiology, 129(Supp. 1), e24. https://doi.org/10.1016/j.clinph.2018.04.060
Kappenman, E. S., & Luck, S. J. (2010). The effects of electrode impedance on data quality and statistical significance in ERP recordings. Psychophysiology, 47(5), 888-904. https://doi.org/10.1111/j.1469-8986.2010.01009.x
Kessels, R. P. C. (2019). Improving precision in neuropsychological assessment: Bridging the gap between classic paper-and-pencil tests and paradigms from cognitive neuroscience. The Clinical Neuropsychologist, 33(2), 357–368. https://doi.org/10.1080/13854046.2018.1518489
Kubo, K., Okanoya, K., & Kawai, N. (2012). Apology isn’t good enough: An apology suppresses an approach motivation but not the physiological and psychological anger. PLoS One, 7(3), e33006. https://doi.org/10.1371/journal.pone.0033006
Laszlo, S., Ruiz-Blondet, M., Khalifian, N., Chu, F., & Jin, Z. (2014). A direct comparison of active and passive amplification electrodes in the same amplifier system. Journal of Neuroscience Methods, 235, 298–307. https://doi.org/10.1016/j.jneumeth.2014.05.012
Lopez-Gordo, M., Sanchez-Morillo, D., & Valle, F. (2014). Dry EEG electrodes. Sensors, 14(7), 12847–12870. https://doi.org/10.3390/s140712847
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007). A review of classification algorithms for EEG-based brain–computer interfaces. Journal of Neural Engineering, 4(2), R1–R13. https://doi.org/10.1088/1741-2560/4/2/R01
Luck, S. J. (2014). An introduction to the event-related potential technique (Edisi kedua). The MIT Press.
Makeig, S., & Onton, J. (2011). ERP Features and EEG Dynamics. Dalam E. S. Kappenman & S. J. Luck, The Oxford Handbook of Event-Related Potential Components. Oxford Handbooks Online. https://doi.org/10.1093/oxfordhb/9780195374148.013.0035
Mathewson, K. E., Harrison, T. J. L., & Kizuk, S. A. D. (2017). High and dry? Comparing active dry EEG electrodes to active and passive wet electrodes: Active dry vs. active & passive wet EEG electrodes. Psychophysiology, 54(1), 74–82. https://doi.org/10.1111/psyp.12536
Meyer-Baese, A., & Schmid, V. (2014). Feature selection and extraction. Dalam A. Meyer-Baese & V. Schmid (Eds.), Pattern Recognition and Signal Analysis in Medical Imaging (hal. 21–69). Academic Press. https://doi.org/10.1016/B978-0-12-409545-8.00002-9
Naro, A., Calabrò, R. S., La Rosa, G., Andronaco, V. A., Billeri, L., Lauria, P., … Bramanti, P. (2019). Toward understanding the neurophysiological basis of peripersonal space: An EEG study on healthy individuals. PLoS One, 14(6), e0218675. https://doi.org/10.1371/journal.pone.0218675
Nunez, P. L., & Srinivasan, R. (2006). Electric fields of the brain: The neurophysics of EEG (Edisi kedua). Oxford University Press.
Park, S. M., Lee, J. Y., Kim, Y. J., Lee, J.-Y., Jung, H. Y., Sohn, B. K., … Choi, J.-S. (2017). Neural connectivity in Internet gaming disorder and alcohol use disorder: A resting-state EEG coherence study. Scientific Reports, 7(1), 1333. https://doi.org/10.1038/s41598-017-01419-7
Pinel, J. P. J. (2014). Biopsychology (Edisi kesembilan). Pearson.
Polich, J., & Margala, C. (1997). P300 and probability: Comparison of oddball and single-stimulus paradigms. International Journal of Psychophysiology, 25(2), 169–176. https://doi.org/10.1016/S0167-8760(96)00742-8
Quaedflieg, C. W. E. M., Smulders, F. T. Y., Meyer, T., Peeters, F., Merckelbach, H., & Smeets, T. (2016). The validity of individual frontal alpha asymmetry EEG neurofeedback. Social Cognitive and Affective Neuroscience, 11(1), 33–43. https://doi.org/10.1093/scan/nsv090
Ratti, E., Waninger, S., Berka, C., Ruffini, G., & Verma, A. (2017). Comparison of medical and consumer wireless EEG systems for use in clinical trials. Frontiers in Human Neuroscience, 11, 398. https://doi.org/10.3389/fnhum.2017.00398
Senior, C., Russell, T., & Gazzaniga, M. S. (Eds.). (2006). Methods in mind. MIT Press.
Sinha, S. R., Sullivan, L. R., Sabau, D., Orta, D. S. J., Dombrowski, K. E., Halford, J. J., … Stecker, M. M. (2016). American clinical neurophysiology society guideline 1: Minimum technical requirements for performing clinical electroencephalography. The Neurodiagnostic Journal, 56(4), 235–244. https://doi.org/10.1080/21646821.2016.1245527
Spielberg, J. M., Stewart, J. L., Levin, R. L., Miller, G. A., & Heller, W. (2008). Prefrontal cortex, emotion, and approach/withdrawal motivation. Social and Personality Psychology Compass, 2(1), 135–153. https://doi.org/10.1111/j.1751-9004.2007.00064.x
Stavropoulos, K. K.-M., & Carver, L. J. (2016). Neural correlates of attention to human-made sounds: An ERP study. PLoS One, 11(10), e0165745. https://doi.org/10.1371/journal.pone.0165745
Stephan, K. E., & Friston, K. J. (2009). Functional connectivity. Dalam L. R. Squire (Ed.), Encyclopedia of Neuroscience (hal. 391–397). Academic Press. https://doi.org/10.1016/B978-008045046-9.00308-9
Strang, G. (1994). Wavelets. American Scientist, 82(3), 250–255.
Tacikowski, P., & Nowicka, A. (2010). Allocation of attention to self-name and self-face: An ERP study. Biological Psychology, 84(2), 318–324. https://doi.org/10.1016/j.biopsycho.2010.03.009
Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438(7067), 500–503. https://doi.org/10.1038/nature04171
Weinberg, A., & Hajcak, G. (2010). Beyond good and evil: The time-course of neural activity elicited by specific picture content. Emotion, 10(6), 767–782. https://doi.org/10.1037/a0020242
Zoëga Ramsøy, T., Michael, N., & Michael, I. (2019). A consumer neuroscience study of conscious and subconscious destination preference. Scientific Reports, 9(1), 15102. https://doi.org/10.1038/s41598-019-51567-1
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Buletin Psikologi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
* Corresponding Author
