[Neurophysiological approach to Attention Deficit Hyperactivity Disorder]

Area of Science:

• Neuroscience
• Developmental Pediatrics
• Clinical Neurophysiology

Background:

• Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood neurodevelopmental disorder with complex diagnosis and treatment due to heterogeneity and comorbidities.
• Comorbidities like epilepsy and sleep disorders significantly impact ADHD's clinical course and management.
• Neurophysiological tools such as electroencephalogram (EEG), quantified EEG, and event-related potentials (ERPs) are crucial for understanding ADHD.

Purpose of the Study:

• To explore the utility of neurophysiological studies in enhancing the diagnosis and management of ADHD.
• To investigate how EEG and ERPs can identify ADHD-specific patterns and differentiate from comorbid conditions.
• To highlight the role of sleep studies in understanding ADHD symptom exacerbation.

Main Methods:

• Electroencephalogram (EEG) to identify abnormal patterns like increased frontal theta activity and theta/beta ratio.
• Event-Related Potentials (ERPs), specifically P300, to assess cognitive functions (attention, memory, inhibition).
• Polysomnography (sleep studies) to evaluate sleep disorders (respiratory, REM sleep) in ADHD patients.

Main Results:

• EEG can detect ADHD-related patterns and distinguish ADHD symptoms from epilepsy, such as absence seizures.
• ERPs provide objective data on cognitive deficits relevant to ADHD diagnosis and monitoring.
• Sleep studies reveal a high prevalence of sleep disturbances in ADHD, worsening symptoms.

Conclusions:

• Neurophysiological studies offer objective diagnostic markers for ADHD.
• Integrating EEG, ERPs, and sleep studies enables a more precise and personalized approach to ADHD management.
• These advanced diagnostic methods improve clinical outcomes and long-term prognosis for individuals with ADHD.