Infra-low frequency neurofeedback training in Dravet syndrome: A case study

Abstract

This case study examines how an intervention of infra-low frequency neurofeedback training (ILF-NFT) affects the symptomatology of an eight-year-old patient with Dravet syndrome (DS), a rare and highly disabling form of epilepsy. Our results demonstrate that ILF-NFT has improved the patient’s sleep disturbance, has significantly reduced seizure frequency and severity, and has reversed neurodevelopmental decline, with positive development in intellectual and motor skills. No significant changes have been made to the patient’s medication in the observed period of 2.5 years. Thus, we draw attention to ILF-NFT as a promising intervention in addressing DS symptomatology. Finally, we discuss the study’s methodological limitations and warrant future studies to assess the effect of ILF-NFT in DS in more elaborate research designs.

Keywords

• Dravet Syndrome
• Epilepsy
• Infra-low frequency neurofeedback training
• Neurofeedback
• Seizure frequency reduction