Characteristics of beta wave amplitude in prefrontal, frontal and central regions on encephalography of healthy adults

  • Phạm Ngọc Thảo Bệnh viện Quân y 103
  • Nguyễn Trọng Nghĩa Bệnh viện Trung ương Quân đội 108

Main Article Content

Keywords

Amplitude, beta wave, electroencephalogram, influenced factors

Abstract

Objective: To investigate the characteristics of beta wave amplitude in the prefrontal, frontal, and central regions in healthy adults with range of age from 25 to 61 years old and some related factors. Subject and method: A total of 92 healthy adults were collected and EEG was examined and analyzed at the department of Functional Diagnosis, Military Hospital 103 from June to December 2023. Beta wave amplitude was analyzed in dominant regions including the prefrontal, frontal, and central regions in both hemispheres. Result: The average value of beta wave amplitude in the prefrontal, frontal and central regions in the left hemisphere were 21.5µV, 20.3µV, and 25.7µV and in the right hemisphere were 20.0µV, 18.2µV, and 22.9µV, respectively. Age was positively correlated, weight and height were negatively correlated with beta wave amplitude in the frontal region in the right hemisphere. Height was negatively correlated with beta wave amplitude in the right prefrontal region. Increased beta wave amplitude in the right hemisphere of the right prefrontal region was observed in women. Conclusion: The results show the average amplitude of beta wave in the prefrontal, frontal, and central regions in both hemispheres in Vietnamese adults. Age, gender, height, weight, BMI are factors influencing beta wave amplitude.

Article Details

References

1. Nayak CS, Anilkumar AC (2023) EEG Normal Waveforms. In: StatPearls. Treasure Island (FL): StatPearls Publishing.
2. Britton JW, Frey LC, Hopp JL, Korb P, Koubeissi MZ, Lievens WE, Pestana-Knight EM, St. Louis EK (2016) Electroencephalography (EEG): An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants. Chicago: American Epilepsy Society. Available from: https://www.ncbi.nlm.nih.gov/books/NBK390354/.
3. Li H, Zhao Q, Huang F, Cao Q, Qian Q, Johnstone SJ, Wang Y, Wang C, Sun L (2019) Increased Beta Activity Links to Impaired Emotional Control in ADHD Adults With High IQ. J Atten Disord 23(7): 754-764.
4. Lin CL, Hsieh YW, Chen HY (2021) Age-related differences in alpha and beta band activity in sensory association brain areas during challenging sensory tasks. Behav Brain Res 408:113279.
5. Gavaret M, Iftimovici A, Pruvost-Robieux E (2023) EEG: Current relevance and promising quantitative analyses. Rev Neurol (Paris) 179(4): 352-360.
6. Foldvary-Schaefer N and Grigg-Damberger M (2012) Identifying Interictal and Ictal Epileptic Activity in Polysomnograms. Sleep Med Clin 7(1): 39-58.
7. Pham NT, Nishijo M, Nghiem TTG, Pham TT, Tran NN, Le VQ, Vu TH, Tran HA, Phan HAV, Do Q, Takiguchi T, Nishino Y, Nishijo H (2021) Effects of perinatal dioxin exposure on neonatal electroencephalography (EEG) activity of the quiet sleep stage in the most contaminated area from Agent Orange in Vietnam. Int J Hyg Environ Health. 232: 113661.
8. Kanokwan S, Pramkamol W, Wipatcharee K, Warissara W, Siwarit R, Sompiya S, Onuma B, Mitra S (2019) Age-related differences in brain activity during physical and imagined sit-to-stand in healthy young and older adults. J Phys Ther Sci 31(5): 440-448.
9. Seidler RD, Bernard JA, Burutolu TB, Fling BW, Gordon MT, Gwin JT, Kwak Y, Lipps DB (2010) Motor control and aging: links to age-related brain structural, functional, and biochemical effects. Neurosci Biobehav Rev 34(5): 721-733.
10. Díaz de León AE, Harmony T, Marosi E, Becker J, Alvarez A (1988) Effect of different factors on EEG spectral parameters. Int J Neurosci 43(1-2): 123-131.