Power spectral analysis of EEG of brain electrical activity in female patients with epilepsy

Authors

  • Fahmida Faruque Tithi Department of Physiology, Bangladesh Medical University, Dhaka
  • Mst Nur Naher Department of Physiology, Bangladesh Medical University, Dhaka
  • Sharmin Afroz Department of Physiology, Bangabandhu Sheikh Mujib Medical University, Dhaka
  • Kanuj Kumar Barman Department of Neurology, Bangabandhu Sheikh Mujib Medical University, Dhaka
  • Sultana Ferdousi Department of Physiology, Bangladesh Medical University, Dhaka

DOI:

https://doi.org/10.3329/jbsp.v20i1.84040

Keywords:

Epilepsy, Essential oil, Lemongrass, QEEG, Brainwaves

Abstract

Background: Changes in low frequency waves and altered psychological status were associated with epilepsy. Epilepsy can cause anxiety and depression and many other complications and anti-seizure medication can make the patients lethargic, tired and drowsy.Objective: To assess and quantify cortical brain waves in female patients with epilepsy by power spectral analysis of signals of quantitative electroencephalogram(QEEG). Methods: This study was carried out on 20 female patients with epilepsy aged 20-40 years and 20 healthy female volunteer of similar age were control. EEG was recorded from 22 scalp electrodes in different region all over the head by an EEG data acquisition device, EEG Traveler Brain Tech 32+ CMEEG-01, India in all participants. Power spectral analysis of EEG data was done with Brain Tech 40+ Standard version 4.47a analysis software by calculating relative band power of delta, theta, alpha and beta brainwaves to assess cortical electrical activity. Data were expressed as mean ± SD. For statistical analysis, Independent-Samples t test was used. The P value ≤ 0.05 was considered as statistical significance. Results: Mean values of relative power of delta and theta were significantly higher and values of alpha and beta were significantly lower in all cortical areas of epilepsy patients compared to control. Conclusion: It may be concluded that higher low frequency brain wave and lower high frequency brain wave were associated with epilepsy.

J Bangladesh Soc Physiol 2025;20(1): 1-9

Downloads

Download data is not yet available.
Abstract
0
PDF
0

References

1. Shaafi S, Nasibi SM, Chalabianloo G, Nejadghaderi SA. Quantitative Electroencephalography Findings in Treatment-resistant and Responsive Patients with Idiopathic Generalized Tonic-Clonic Epilepsy. Neurology Letters 2023;2(1):6-12.

2. Fisher RS, Boas WV, Blume W, Elger C, Genton P, Lee P, Engel Jr J. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia 2005;46(4):470-2.

3.Society of Neurologist of Bangladesh.2000.National Epilepsy Consensus Guideline Bangladesh.1st ed.Bangladesh (Dhaka): SNB; 19-112p.

4. Trinka E, Kwan P, Lee B, Dash A. Epilepsy in Asia: disease burden, management barriers, and challenges. Epilepsia 2019;60:7-21.

5. Mohammad QD, Saha NC, Alam MB, Hoque SA, Islam A, Chowdhury RN, Hussain ME, Chowdhury YS, Hossain S, Chowdhury MA, Rahman M. Prevalence of epilepsy in Bangladesh: Results from a national household survey. Epilepsia open 2020;5(4):526-36.

6. Moshé SL, Perucca E, Ryvlin P, Tomson T. Epilepsy: new advances. The Lancet. 2015; 385(9971):884-98.

7. Collings JA. Psychosocial Weil‐Being and Epilepsy: An Empirical Study. Epilepsia1990; 31(4):418-26.

8. Wagner AK, Bungay KM, Kosinski M, Bromfield EB, Ehrenberg BL. The health status of adults with epilepsy compared with that of people without chronic conditions. Pharmacotherapy 1996;16(1):1-9.

9. Vlooswijk MC, Vaessen MJ, Jansen JF, De Krom MC, Majoie HJ, Hofman PA, Aldenkamp AP, Backes WH. Loss of network efficiency associated with cognitive decline in chronic epilepsy. Neurol 2011;77(10):938-44.

10. Das N, Dhanawat M, Shrivastava SK. An overview on antiepileptic drugs. Drug Discov Ther 2012;6(4):178-93.

11. Perucca P, Gilliam FG. Adverse effects of antiepileptic drugs. Lancet Neurol 2012;11(9):792-802.

12. Kim DW, Im CH. EEG spectral analysis. Computational EEG analysis: Methods and applications 2018;35-53.

13. Sowndhararajan K, Kim S. Influence of fragrances on human psychophysiological activity: With special reference to human electroencephalographic response. Sci. Pharm 2016; 84(4):724-52.

14. Rajak BL, Gupta M, Bhatia D, Mukherjee A, Paul S, Sinha TK. Power spectral analysis of EEG as a potential marker in the diagnosis of spastic cerebral palsy cases. Int. J. Biomed. Eng. Sci 2016; 3(3):23-9.

15. Olbrich S, Arns M. EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response. Int Rev Psychiatry 2013; 25(5):604-18.

16. Pillai J, Sperling MR. Interictal EEG and the diagnosis of epilepsy. Epilepsia. 2006 ;47:14-22.

17. Edlin JM, Leppanen ML, Fain RJ, Hackländer RP, Hanaver-Torrez SD, Lyle KB. On the use (and misuse?) of the Edinburgh Handedness Inventory. Brain Cogn 2015;94:44-51.

18. Sayowan W, Siripornpanich V, Piriyapunyaporn T, Hongratanaworakit T, Kotchabhakdi N, Ruangrungsi N. The harmonizing effects of citronella oil on mood states and brain activities. J Health Res 2012; 26(2).

19. Choi NY, Wu YT, Park SA. Effects of olfactory stimulation with aroma oils on psychophysiological responses of female adults. IJERPH 2022; 19(9):5196.

20. Teplan M. Fundamentals of EEG measurement. Meas Sci Rev 2002 Jan;2(2):1-1.

21. Hummel T, Mohammadian P, Kobal G. Handedness is a determining factor in lateralized olfactory discrimination. Chemical senses 1998; 23(5):541-4.

22. Clemens B, Szigeti G, Barta Z. EEG frequency profiles of idiopathic generalised epilepsy syndromes. Epilepsy Res 2000;42(2-3):105-15.

23. Major ZZ, Buzoianu AD, Perju-Dumbravă L, Mărginean I, Bocşan IC, Major KA. QEEG: Relative power findings in epilepsy. Delta 2010;20:0000.

24. Pegg EJ, Taylor JR, Mohanraj R.2020. Spectral power of interictal EEG in the diagnosis and prognosis of idiopathic generalized epilepsies. EBR; 112:107427. DOI:org/10.1016/j.yebeh.2020.107427

25. Marsh L, Rao V. Psychiatric complications in patients with epilepsy: a review. Epilepsy Res 2002;49(1):11-33.

26. Kwon JS, Youn T, Jung HY. Right hemisphere abnormalities in major depression: quantitative electroencephalographic findings before and after treatment. J. Affect. Disord 1996; 40(3):169-73.

27. Grin-Yatsenko VA, Baas I, Ponomarev VA, Kropotov JD. EEG power spectra at early stages of depressive disorders. J Clin Neurophysiol 2009;26(6):401-6.

28. Lima MT, Boby F, Zaman N, Afroz S, Morshed NM, Ferdousi S. Brain electrical activity in female Major Depressive Disorder patients. Journal of Bangladesh Society of Physiologist 2023;18(2):53-62.

29. Palva S. New vistas for α‐frequency band oscillations. Trends in Neurosci 2003;30(4):553.

30. Desai R, Tailor A, Bhatt T. Effects of yoga on brain waves and structural activation: A review. Complement Ther Clin Pract 2015;21(2):112-8.

31. Adler G, Bramesfeld A, Jajcevic A. Mild cognitive impairment in old-age depression is associated with increased EEG slow-wave power. Neuropsychobiology 1999;40(4):218-22.

Downloads

Published

2025-10-05

How to Cite

Tithi, F. F., Naher, M. N., Afroz, S., Barman, K. K., & Ferdousi, S. (2025). Power spectral analysis of EEG of brain electrical activity in female patients with epilepsy. Journal of Bangladesh Society of Physiologist, 20(1), 1–9. https://doi.org/10.3329/jbsp.v20i1.84040

Issue

Vol. 20 No. 1 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

JBSP retains the copyright of the contents of this journal but grant the readers the right to use the contents with terms and conditions under a creative common attribution licenses 4 of Attribution, Share Alike and Non commercial type(CC BY-NC-SA) that allows copy, distribute, display, and perform the work and make derivative works based on it only for noncommercial purposes.

Creative Commons Licence
Journal of Bangladesh Society of Physiologist is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.