FREQUENCY AND POWER ANALYSIS OF EEG THETA ACTIVITY DURING DIFFERENT MATHEMATICAL AND VERBAL TASK IN MALES

Abstract

Abstract: The brain forms EEG waves due to mental processes. The aim of this study is to investigate the effectiveness of the EEG theta wave formed in the brain during different mathematical and verbal tasks. Twenty healthy medical students without any health problems were included in the study. The five questions were answered by the subjects via power point on the computer screen. Bipolar electrode positioning was performed. In this study, domain measurements, FFT and power spectral density were analyzed. As a result of the study, no statistically significant difference was found between EEG theta waves obtained as a result of both numerical and verbal correct and incorrect answers (p>0.05). An increase in mean amplitude was found in both the mathematical and verbal processes to respond incorrectly. As a result, no significant change was observed in the domain measurements, frequency and power analysis of EEG theta waves during numerical and verbal correct and incorrect responses.

Keywords

• Theta,FFT,PSD,mental,verbal,numerical

References

1. [1] Sammer G, Blecker C, Gebhardt H, et al. “Relationship between regional hemodynamic activity and simultaneously recorded EEG‐theta associated with mental arithmetic‐induced workload”, Hum Brain Mapp, 28(8), 793-803, 2007.
2. [2] Amin HU, Malik AS, Badruddin N, et al. “EEG mean power and complexity analysis during complex mental task”, In 2013 ICME International Conference on Complex Medical Engineering, IEEE, 2013, (pp. 648-651). DOI: 10.1109/ICCME.2013.6548329
3. [3] Butkevičiūtė E, Bikulčienė L, Sidekerskienė T, et al. “Removal of movement artefact for mobile EEG analysis in sports exercises”, IEEE Access, 7, 7206-7217, 2019.
4. [4] Gong Y, Xu S. “Mental state detection in classroom based on EEG brain signals”, Nat Sci, 11(11), 315, 2019.
5. [5] Jensen O, Tesche C D. “Frontal theta activity in humans increases with memory load in a working memory task”, Eur J Neurosci, 15(8), 1395-1399, 2002.
6. [6] Ghaderi AH, Nazari MA, Darooneh AH. “Functional brain segregation changes during demanding mathematical task”, Int J Neurosci, 129(9), 904-915, 2019.
7. [7] BIOPAC MANBSL4., Reference manuals of AcqKnowledge Software Guide and MP System Hardware Guide, BIOPAC Systems Inc., 42 Aero Camino, Goleta, CA -USA., 2019.
8. [8] RAMOS Julieta, et al. “EEG activity during cognitive performance in women” Int J Neurosci, 69(1-4), 185-195, 1993.

9. [9] Jensen O, Tesche CD. “Frontal theta activity in humans increase with memory load in a working memory task”, Eur J Neurosci, 15(8), 1395-1399, 2002.
10. [10] Ishii R, Canuet L, Ishihara T, et al. “Frotal midline theta rhythm and gamma power changes during focused attention on mental calculation: an MEG beam former analysis”, Front Hum Neurosci, 8, 406, 2014.
11. [11] Klimesch W. “EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis”, Brain Res Brain Res Rev, 29, 169-195, 1999.
12. [12] Schack B, Vath N, Petsche H, et al. “Phase-coupling of theta–gamma EEG rhythms during short-term memory processing”, ‎Int J Psychophysiol, 44(2), 143-163, 2002.
13. [13] Katahira K, Yamazaki Y, Yamaoka C, et al. “EEG correlates of the flow state: A combination of increased frontal theta and moderate frontocentral alpha rhythm in the mental arithmetic task” ‎Front Psychol, 9, 300, 2018.
14. [14] So WK, Wong SW, Mak JN, et al. “An evaluation of mental workload with frontal EEG”, PloS one, 12(4), 2017. e0174949. 10.1371/journal.pone.0174949