Mismatch Negativity and P300 in Children With Attention-Deficit/Hyperactivity Disorder (ADHD): A Comparative
Rohit Saroha1, Muneeb Kosvi2, Soni Singh1
1Physiology, Santosh Deemed to be University, Ghaziabad, IND.
Children with ADHD exhibit distinct neurophysiological patterns in event-related potentials (ERPs), specifically mismatch negativity (MMN) and P300 components, compared to healthy siblings. These findings suggest ERPs may serve as objective markers for cognitive dysfunction in ADHD.
Area of Science:
- Neuroscience
- Developmental Psychology
- Clinical Psychology
Background:
- Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder impacting attention and executive functions.
- Understanding the neural underpinnings of ADHD is crucial for improved diagnostics and treatments.
- Event-related potentials (ERPs), such as mismatch negativity (MMN) and P300, are neurophysiological markers of cognitive processes.
Purpose of the Study:
- To investigate cognitive dysfunction in children with ADHD using endophenotypic traits of MMN and P300 ERP components.
- To compare ERP characteristics between children with ADHD and their healthy siblings.
Main Methods:
- An observational, cross-sectional study involving 18 children with ADHD and 10 healthy controls.
- ERPs were recorded using the SCHWARZER TOPAS EMG system during an auditory oddball paradigm.
- Analysis focused on MMN and P300 component latency and amplitude differences between groups.
Main Results:
- Children with ADHD demonstrated significantly prolonged MMN and P300 latencies compared to controls.
- Reduced MMN and P300 amplitudes were observed in children with ADHD versus healthy siblings.
- Significant differences in MMN and P300 at the Fz site were noted, with large effect sizes.
Conclusions:
- Children with ADHD exhibit significant neurophysiological differences in MMN and P300 components.
- ERPs show potential as objective markers for cognitive dysfunction in ADHD.
- Larger studies are needed to confirm ERP utility in clinical ADHD diagnostics due to small sample size and lack of behavioral correlation.
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