Evaluation of long-term memory through electroencephalographic techniques
DOI:
https://doi.org/10.33448/rsd-v12i4.40976Keywords:
Electroencephalography; EEG; Memory, Long-term; Assessment.Abstract
This study aimed to evaluate the long term memory through electroencephalographic techniques. Were evaluated, in individuals from the human and exact sciences groups, during the following cognitive activities: task: 1 – MEMORIZING WORDS; 2 – REMEMBER THE WORDS OF ACTIVITY 1; 3 – MEMORIZING FIGURES; 4 REMEMBER THE FIGURES OF THE ACTIVITY 3. The gamma rhythm was recorded through the electroencephalogram (EEG), according to the 10-20 system. Thus, the tasks aimed to analyze the capacity for long-term memorization. EEG signals were monitored during the reading and response of the tasks and the means and standard deviation of the gamma rhythm were calculated. The statistical model was BioEstat 5.0, T test for paired samples (p<0.05), Mann-Witney non-parametric test - independent samples and Excel. The results of the intragroup and intergroup analysis in human and exact subjects showed a significant difference in processing brain, through the gamma rhythm, during activities. Individuals in the humanities area used the anterior left quadrant more, while individuals in the exact sciences area used the posterior right quadrant more, as evidenced in the tasks of memorizing pictures and evoking pictures. It seems that there is an association of the gamma rhythm with the states of greater activation of the cerebral cortex during the programming and execution of cognitive activities.
References
Abenna, S., Nahid, M., & Bajit, A. (2022). Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm. Biomedical Signal Processing and Control, 71, 103102. https://doi.org/10.1016/j.bspc.2021.103102
Alazrai, R., Homoud, R., Alwanni, H., & Daoud, M. (2018). EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution. Sensors, 18(8), 2739. https://doi.org/10.3390/s18082739
Almouloud, S. A. (2017). Fundamentos norteadores das teorias da Educação Matemática: perspectivas e diversidade. Amazônia: Revista de Educação Em Ciências E Matemáticas, 13(Extra 27), 5–35. https://dialnet.unirioja.es/servlet/articulo?codigo=6284876
Brown, G. D., Neath, I., & Chater, N. (2007). A temporal ratio model of memory. Psychological review, 114(3), 539.
Buzsáki, G., & Watson, B. O. (2012). Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease. Dialogues in Clinical Neuroscience, 14(4), 345–367. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3553572/
Cosenza, R., & Guerra, L. (2009). Neurociência e educação. Artmed Editora.
Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information-processing system. Psychological Bulletin, 104(2), 163–191. https://doi.org/10.1037/0033-2909.104.2.163
Da Silva, F. L. (2022). EEG: Origin and Measurement. EEG - FMRI, 23–48. https://doi.org/10.1007/978-3-031-07121-8_2
Dori, I., Bekiari, C., Grivas, I., Tsingotjidou, A., & Papadopoulos, G. C. (2022). Birth and death of neurons in the developing and mature mammalian brain. The International Journal of Developmental Biology, 66(1-2-3), 9–22. https://doi.org/10.1387/ijdb.210139id
Gruneberg, M. M. (1970). A dichotomous theory of memory — Unproved and unprovable? Acta Psychologica, 34, 489–496. https://doi.org/10.1016/0001-6918(70)90042-9
Guarda, G., & Goulart, I. (2018). Jogos Lúdicos sob a ótica do Pensamento Computacional: Experiências do Projeto Logicamente. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática Na Educação - SBIE), 29(1), 486. https://doi.org/10.5753/cbie.sbie.2018.486
Jensen, E. (2005). Teaching with the Brain in Mind. In Google Books. ASCD. https://books.google.com.br/books?hl=pt-BR&lr=&id=KP5QBAAAQBAJ&oi=fnd&pg=PP1&dq=THE+BRAIN+MIND+Jensen&ots=g1hZPDaTsq&sig=RJiJlnYNdN_PnsGHn9PORhfJI7E#v=onepage&q=THE%20BRAIN%20MIND%20Jensen&f=false
Jonides, J., Lewis, R. L., Nee, D. E., Lustig, C. A., Berman, M. G., & Moore, K. S. (2008). The Mind and Brain of Short-Term Memory. Annual Review of Psychology, 59(1), 193–224. https://doi.org/10.1146/annurev.psych.59.103006.093615
Kleyfton, S. (2018). Cognitive neuroscience as a basis for learning molecular geometry: a study on attributes of brain functioning related to long-term memory. Ri.ufs.br. http://ri.ufs.br/jspui/handle/riufs/8229
Liu, X., Liu, S., Li, M., Su, F., Chen, S., Ke, Y., & Ming, D. (2022). Altered gamma oscillations and beta–gamma coupling in drug-naive first-episode major depressive disorder: Association with sleep and cognitive disturbance. Journal of Affective Disorders, 316, 99–108. https://doi.org/10.1016/j.jad.2022.08.022
Macedo, J. M. de. (2008). Brunette. Cultural Ciranda.
Niedermeyer, E., & Silva, F. H. L. da. (2005). Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. In Google Books. Lippincott Williams & Wilkins. https://books.google.com.br/books?hl=pt-BR&lr=&id=tndqYGPHQdEC&oi=fnd&pg=PR11&dq=Electroencephalography:+basic+principles
Norris D. (2017). Short-term memory and long-term memory are still different. Psychological bulletin, 143(9), 992–1009. https://doi.org/10.1037/bul0000108
Oberauer, K. (2009, January 1). Chapter 2 Design for a Working Memory. ScienceDirect; Academic Press. https://www.sciencedirect.com/science/article/abs/pii/S007974210951002X
Oberauer, K. (2002). Access to information in working memory: exploring the focus of attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(3), 411.
Perry, B. D. (2002). Childhood experience and the expression of genetic potential: What childhood neglect tells us about nature and nurture. Brain and mind, 3(1), 79-100.
Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. In Google Books. Penguin. https://books.google.com.br/books?hl=pt-BR&lr=&id=M1eFDwAAQBAJ&oi=fnd&pg=PA1&dq=ussell
Siegler, R. S. (1984). Strategy choices in addition and subtraction: How do children know what to do? Origins of Cognitive Skills. https://cir.nii.ac.jp/crid/1571980075464441088
Surprenant, A. M., & Neath, I. A. N. (2009). The nine lives of short-term memory.
Swanson, H. L., & Rhine, B. (1985). Strategy Transformations in Learning Disabled Children’s Math Performance. Journal of Learning Disabilities, 18(10), 596–603. https://doi.org/10.1177/002221948501801007
Swanson, H. L., & Jerman, O. (2006). Math Disabilities: A Selective Meta-Analysis of the Literature. Review of Educational Research, 76(2), 249–274. https://doi.org/10.3102/00346543076002249
Talamini, F., Altoè, G., Carretti, B., & Grassi, M. (2018). Correction: Musicians have better memory than nonmusicians: A meta-analysis. PLOS ONE, 13(1), e0191776. https://doi.org/10.1371/journal.pone.0191776
Thorn, A., & Page, M. (2008). Interactions Between Short-Term and Long-Term Memory in the Verbal Domain. In Google Books. Psychology Press. https://books.google.com.br/books?hl=pt-BR&lr=&id=Mhx5AgAAQBAJ&oi=fnd&pg=PA16&dq=The+nine+lives+of+short-term+memory.&ots=bfeOKUGnVf&sig=ZIWF1qu9KctSerq1cxFQ9LdjO_M#v=onepage&q=The%20nine%20lives%20of%20short-term%20memory.&f=false
Vanhollebeke, G., De Smet, S., De Raedt, R., Baeken, C., van Mierlo, P., & Vanderhasselt, M.-A. (2022). The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies. Neurobiology of Stress, 18, 100452. https://doi.org/10.1016/j.ynstr.2022.100452
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Ana Amancio Santos da Silva; Jeyce Adrielly Andre Nogueira; José Augustinho Mendes Santos; Euclides Mauricio Trindade
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.