P300 Response Among Children with Down Syndrome: Age, Non- Verbal Intelligence and Social Maturity Effects.

Abstract

Background
P300 of the event-related potential (ERP) component represents cognitive processing speed and the is associated with a deflection occurring at about 250-300ms. It is most frequently triggered in an "oddball" paradigm when a subject notices a random "target" stimulus among a routine train of typical stimuli. People with Down syndrome (DS) frequently exhibit prolonged P300 delay, which may indicate underlying neurocognitive impairment. Although there is increasing interest in the electrophysiological profiles of children with Down syndrome, little research has methodically looked at certain neurodevelopmental variables that predict P300 latency in this population.
Purpose
By addressing the above gap in the literature, the current study attempted to identify important neurodevelopmental correlates of cognitive processing speed in children with Down syndrome through investigating the predictive influence of age, nonverbal IQ, and social maturity on P300 latency.
Method
A cross-sectional design was employed with a purposively selected sample of 62 children with Down syndrome aged (5-
12) years. P300 latency was recorded using an auditory oddball paradigm using an evoked potential equipment. Non-verbal intelligence was assessed using Seguin Form Board test and Social maturity was evaluated using the Vineland Social Maturity Scale (VSMS). Descriptive statistics, and inferential statistics were used to analyze the data collected. IBM SPSS Statistics (Version 27.0) was used as software tool for data analysis.

Results
In the first model, age did not significantly predict P300 latency. The explained variation increased significantly when nonverbal intelligence was included (ΔR² =.061, p <.05). The final model explained 20.8% of the variance in P300 latency after social maturity was added, greatly improving the model (ΔR² =.094, p <.05). Among the variables, social maturity turned out to be the most significant predictor.
Conclusion
The results imply that neuronal processing efficiency in children with Down syndrome is significantly influenced by cognitive and adaptive functioning rather than age. The significant impact of social maturity emphasizes the significance of functional and contextual elements in neurodevelopment, underscoring the necessity of comprehensive intervention strategies that address adaptive skills in addition to cognitive development.