Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background P300 event-related potential (ERP) has been used to assess differences in modes of information processing and cognitive skill from childhood through adulthood. However, research on the development of the visual P300 is relatively sparse, with several discrepant findings. In this study, we aimed to evaluate the conventional parameters of visual ERPs and their relationship with mean response time in children and adolescents. Methods We conducted the study on 60 subjects in the age group of 5-18 years. P300 latency and N2-P3 amplitude were recorded by the visual oddball paradigm, and the age group comparisons were performed by one-way analysis of variance (ANOVA). Mean response time was calculated, and the correlation with P300 latency and amplitude was obtained by Pearson's correlation coefficient (r). Statistical significance was set as p<0.05. Results We found a decrease in the mean P300 latency and an increase in N2-P3 amplitudes with age, with statistical significance (p<0.001) (one-way ANOVA). Changes were significantly pronounced until the ages of 8-11 years. P300 latency did not vary with significant correlation with the mean response time (r=0.1689, r²=0.029, p=0.19). N2-P3 amplitude showed a statistically significant moderate negative correlation with the mean response time (r=-0.59, r²=0.35, p<0.001) (Pearson correlation analysis). Conclusion In children and adolescents, age has a distinctive pattern of impact on visual P300 amplitude and latency. ERP data should be interpreted with careful consideration in children, and reference values should be used. Association of faster mean response time with larger amplitude found in the study raises the possibility that response speeds correspond to executive control efficiency.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12400004PMC
http://dx.doi.org/10.7759/cureus.89180DOI Listing

Publication Analysis

Top Keywords

visual oddball
8
oddball paradigm
8
children adolescents
8
response time
8
age group
8
p300 latency
8
evaluation p300
4
p300 response
4
visual
4
response visual
4

Similar Publications

Cortical networks with multiple interneuron types generate oscillatory patterns during predictive coding.

PLoS Comput Biol

September 2025

Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.

Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).

View Article and Find Full Text PDF

Background: Attention regulation is crucial for mindfulness practice; however, the influence of baseline attention ability on mindfulness training outcomes remains underexplored. This study examined the effects of a brief mindfulness intervention on attention and investigated whether baseline inattention symptoms moderated these effects in meditation-naïve university students.

Methods: This study employed a pretest-posttest, between-groups experimental design.

View Article and Find Full Text PDF

Background P300 event-related potential (ERP) has been used to assess differences in modes of information processing and cognitive skill from childhood through adulthood. However, research on the development of the visual P300 is relatively sparse, with several discrepant findings. In this study, we aimed to evaluate the conventional parameters of visual ERPs and their relationship with mean response time in children and adolescents.

View Article and Find Full Text PDF

Nonpharmaceutical approaches based on gamma entrainment using sensory stimuli (GENUS) have shown promise in reducing Alzheimer's disease pathology in mouse models. While human studies remain limited, GENUS has been shown to alleviate aspects of neurodegeneration in patients with Alzheimer's disease. In this study, we analyze intracranial EEG data from 490 contacts across eleven patients with refractory epilepsy in response to three visual stimulation conditions.

View Article and Find Full Text PDF

BackgroundLate-life depression often co-occurs with neurological disorders such as dementia, significantly impacting cognitive function and overall well-being. Mild cognitive impairment represents a critical stage between normal aging and dementia, often accompanied by depressive symptoms. Electroencephalography (EEG) offers a non-invasive method to investigate underlying neural mechanisms associated with depressive symptoms and cognitive dysfunction.

View Article and Find Full Text PDF