Age predicts peak gamma frequency and N1 amplitude of visual evoked potential
Abstract The current study investigated whether the age of healthy adults could predict the peak gamma frequency and the peak amplitudes of VEP components (N1, P2). 49 healthy participants (aged between 19 and 52 years) underwent EEG recordings during a visual task eliciting clear gamma frequency os...
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BMC
2025-01-01
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Online Access: | https://doi.org/10.1186/s12868-024-00917-5 |
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author | Abdullah Bin Dawood |
author_facet | Abdullah Bin Dawood |
author_sort | Abdullah Bin Dawood |
collection | DOAJ |
description | Abstract The current study investigated whether the age of healthy adults could predict the peak gamma frequency and the peak amplitudes of VEP components (N1, P2). 49 healthy participants (aged between 19 and 52 years) underwent EEG recordings during a visual task eliciting clear gamma frequency oscillations and VEP activities. After eliminating noisy and outlier data, data from 41 participants were analysed using simple linear regression. The results indicated that age was a significant predictor of peak gamma frequency and the peak amplitude of VEP-N1 but not the peak amplitude of VEP-P2. Age was negatively associated with peak gamma frequency and the peak amplitude of VEP-N1. These findings support previous research indicating that ageing is associated with decreased cortical inhibition, highlighting the importance of GABA in maintaining cortical E-I balance. |
format | Article |
id | doaj-art-232048d7000d479ba50d547dae751407 |
institution | Kabale University |
issn | 1471-2202 |
language | English |
publishDate | 2025-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Neuroscience |
spelling | doaj-art-232048d7000d479ba50d547dae7514072025-01-26T12:16:49ZengBMCBMC Neuroscience1471-22022025-01-012611610.1186/s12868-024-00917-5Age predicts peak gamma frequency and N1 amplitude of visual evoked potentialAbdullah Bin Dawood0Department of Psychology, King Saud UniversityAbstract The current study investigated whether the age of healthy adults could predict the peak gamma frequency and the peak amplitudes of VEP components (N1, P2). 49 healthy participants (aged between 19 and 52 years) underwent EEG recordings during a visual task eliciting clear gamma frequency oscillations and VEP activities. After eliminating noisy and outlier data, data from 41 participants were analysed using simple linear regression. The results indicated that age was a significant predictor of peak gamma frequency and the peak amplitude of VEP-N1 but not the peak amplitude of VEP-P2. Age was negatively associated with peak gamma frequency and the peak amplitude of VEP-N1. These findings support previous research indicating that ageing is associated with decreased cortical inhibition, highlighting the importance of GABA in maintaining cortical E-I balance.https://doi.org/10.1186/s12868-024-00917-5Excitation-inhibition balancePeak gamma frequencyVisual evoked potentialVEPVEP-N1VEP-P2 |
spellingShingle | Abdullah Bin Dawood Age predicts peak gamma frequency and N1 amplitude of visual evoked potential BMC Neuroscience Excitation-inhibition balance Peak gamma frequency Visual evoked potential VEP VEP-N1 VEP-P2 |
title | Age predicts peak gamma frequency and N1 amplitude of visual evoked potential |
title_full | Age predicts peak gamma frequency and N1 amplitude of visual evoked potential |
title_fullStr | Age predicts peak gamma frequency and N1 amplitude of visual evoked potential |
title_full_unstemmed | Age predicts peak gamma frequency and N1 amplitude of visual evoked potential |
title_short | Age predicts peak gamma frequency and N1 amplitude of visual evoked potential |
title_sort | age predicts peak gamma frequency and n1 amplitude of visual evoked potential |
topic | Excitation-inhibition balance Peak gamma frequency Visual evoked potential VEP VEP-N1 VEP-P2 |
url | https://doi.org/10.1186/s12868-024-00917-5 |
work_keys_str_mv | AT abdullahbindawood agepredictspeakgammafrequencyandn1amplitudeofvisualevokedpotential |