Brain wave power in Epilepsy: A power spectral EEG analysis
DOI:
https://doi.org/10.3329/jbsp.v20i2.86972Keywords:
EEG, Epilepsy, QEEG, brain waves, Power spectral analysisAbstract
Background: Epilepsy is a neurological disorder associated with anxiety, depression, lethargy. The condition itself and antiepileptic medication may cause alterations in brain waves demonstrated by quantitative electroencephalogram(QEEG) study in epileptic patients. Objective: To evaluate brain waves using power spectrum analysis of QEEG in female epileptic patients. Methods: This observational study was conducted on 40 female epileptic patients (aged 20–40 years) and 40 healthy female volunteers of similar age were control. EEG of all participants were recorded by 22 scalp electrodes for five minutes in eye-close state using an EEG data acquisition device, EEG Traveler Brain Tech 32+ CMEEG-01 to assess cortical electrical activity. EEG data was subjected to power spectral analysis using BT40 analysis software. Independent-Samples T Test was used for statistical analysis. Results: When compared to controls, epileptic patients displayed considerably lower absolute power of alpha and beta brain waves and stronger delta and theta waves in almost all electrodes across all cortical regions. Conclusion: This study concluded increased slow frequency and decreased high frequency brain waves indicating high cortical excitability along with lack of relaxing power, were associated with epilepsy patients.
J Bangladesh Soc Physiol 2025;20(2): 45-52
Downloads
1
0
References
. Trinka E, Kwan P, Lee B, Dash A. Epilepsy in Asia: disease burden, management barriers, and challenges. Epilepsia. 2019;60:7-21.DOI:org/10.1111/ epi.14458
. 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.
. Falco-Walter J. Epilepsy—definition, classification, pathophysiology, and epidemiology. InSeminars in neurology. Thieme Medical Publishers, Inc.2020 Dec;6(40):617-623.
DOI: 10.1055/s-0040-1718719
. Chen B, Detyniecki K, Choi H, Hirsch L, Katz A, Legge A, Wong R, Jiang A, Buchsbaum R, Farooque P. Psychiatric and behavioral side effects of anti-epileptic drugs in adolescents and children with epilepsy. European Journal of Paediatric Neurology. 2017;21(3):441-9.
. Tang V, Kwan P, Poon WS. Neurocognitive and psychological profiles of adult patients with epilepsy in Hong Kong. Epilepsy & Behavior. 2013;29(2):337-43.
. Pegg EJ, Taylor JR, Mohanraj R. Spectral power of interictal EEG in the diagnosis and prognosis of idiopathic generalized epilepsies. EBR 2020;112:107427.
. Kim DW and Im CH. 2018. In: Im CH. Computational EEG analysis: Methods and applications. 1st ed. Singapore: Springger Nature Singapore Pte Lt;. Chapter 3. EEG spectral analysis 2018; 35-53
. Sowndhararajan K, Kim S. Influence of fragrances on human psychophysiological activity: With special reference to human electroencephalographic response. Scientia pharmaceutica. 2016;84(4):724-52.
. Teplan M. Fundamentals of EEG measurement. Meat sci rev. 2002;2(2):1-1.
. Tong S, Thankor NV.. Quantitative EEG analysis methods and clinical applications. Boston, London. Artech House; Chapter 1. Physiological foundation of Quantitative EEG analysis 2009.-6p
. Olbrich S, Arns M. EEG biomarkers in major depressive disorder: discriminative power and prediction of treatment response. Int Rev of Psychiatry 2013; 25(5): 604-618.
DOI: org/10.3109/09540261.2013.816269
. 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.
. 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.
. Hummel T, Mohammadian P, Kobal G. Handedness is a determining factor in lateralized olfactory discrimination. Chemical senses 1998; 23(5):541-4.
. 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.
. Dhali SA, Al Mamun MS, Rahman MM, Anjum S, Mahmud R, Islam MF. Pattern of presentation in clinically diagnosed epileptic patients. MEDRECH 2023; 10(1):51-58
. 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.
. 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):69-75
. Choi NY, Wu YT, Park SA. Effects of olfactory stimulation with aroma oils on psychophysiological responses of female adults. IJERPH 2022; 19(9):5196.
. Teplan M. Fundamentals of EEG measurement. Meas Sci Rev 2002;2(2):1-1.
. Hummel T, Mohammadian P, Kobal G. Handedness is a determining factor in lateralized olfactory discrimination. Chemical senses 1998; 23(5):541-4.
. Clemens B.. Valproate decreases EEG synchronization in a use-dependent manner in idiopathic generalized epilepsy. Seizure 2008;17(3):224-233.
DOI: org/10.1016/S0920-1211(00)00167-4
. Clemens B, Szigeti G, Barta Z. EEG frequency profiles of idiopathic generalised epilepsy syndromes. Epilepsy Res 2000;42(2-3):105-15.
. Major ZZ, Buzoianu AD, Perju-Dumbravă L, Mărginean I, Bocşan IC, Major KA. QEEG: Relative power findings in epilepsy. Delta 2010; 20:0000.
. Pegg EJ, Taylor JR, Mohanraj R. Spectral power of interictal EEG in the diagnosis and prognosis of idiopathic generalized epilepsies. Epilepsy Behavr. 2020;112:107427.
DOI:org/10.1016/j.yebeh.2020.107427
. Kanner AM, Byrne R, Chicharro A, Wuu J, Frey M. A lifetime psychiatric history predicts a worse seizure outcome following temporal lobectomy. Neurology 2009;72(9):793-9.
. 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.
. Lima MT, Boby F, Zaman N, Afroz S, Morshed NM, Ferdousi S. Brain electrical activity in female Major Depressive Disorder patients. Journal of Bangladesh Soc Physiol 2023;18(2):53-62.
. Palva S and Palva M . New vistas for alpha‐frequency band oscillations. Trends Neurosci 2007;30(4):150-8 doi: 10.1016/j.tins.2007.02.001..
. 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.
. 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.
. Razzak R, Li J, He S, Sokhadze E. Investigating sex-based neural differences in autism and their extended reality intervention implications. Brain Sci. 2023;13(11):1571. doi: 10.3390/brainsci13111571
. Guyton AC, Hall JE. Guyton and Hall textbook of medical physiology. Elsevier; 2011:766-767.
. 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
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Bangladesh Society of Physiologist
This work is licensed under a Creative Commons Attribution-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.
Journal of Bangladesh Society of Physiologist is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
