Computer simulation of atypical Brugada syndrome

Area of Science:

• Computational electrophysiology
• Cardiovascular modeling
• Cardiac arrhythmias

Background:

• Brugada syndrome (BS) is typically diagnosed via ST-segment elevation in right precordial leads.
• Atypical Brugada syndrome presents with J wave abnormalities and ST-segment elevation in inferior and lateral leads.
• Understanding the electrophysiological basis of atypical BS is crucial for diagnosis and management.

Purpose of the Study:

• To simulate atypical Brugada syndrome using a 3D whole-heart model.
• To investigate the electrophysiological mechanisms underlying both typical and atypical Brugada syndrome.
• To compare electrocardiogram (ECG) and body surface potential findings with clinical data.

Main Methods:

• Developed a 3D whole-heart computational model.
• Modified Brugada model cell action potentials in epicardial regions to simulate atypical BS.
• Calculated 12-lead ECG and body surface potentials.
• Applied electrical stimuli to induce ventricular fibrillation.

Main Results:

• Simulated ECG and body surface potentials closely matched clinical data for atypical Brugada syndrome.
• Ventricular fibrillation was successfully induced in simulations of both typical and atypical BS.
• The study demonstrated a potential for similar electrophysiological underpinnings in both BS forms.

Conclusions:

• The simulation supports a shared electrophysiological basis for typical and atypical Brugada syndrome.
• Atypical Brugada syndrome may be detectable in inferior and lateral precordial leads.
• Computational modeling provides valuable insights into the mechanisms of cardiac arrhythmias like Brugada syndrome.