Personalized Real-Time Neurostimulation for Effective Treatment of Neurological Conditions
The challenge is to develop stimulation patterns that interact with the nervous system in a timely and precise manner to mitigate abnormal activity. Current stimulation methods lack predictive models, which makes it difficult to anticipate how the brain will react to a specific stimulus. This can lead to unintended consequences and ineffective treatment.
IVAs 100-lista 2023
My research aims to improve the effectiveness of neurostimulation therapy for neurological diseases and disorders. The challenge is to develop stimulation patterns that interact with the nervous system in a timely and precise manner to mitigate abnormal activity. Current stimulation methods lack predictive models, which makes it difficult to anticipate how the brain will react to a specific stimulus. This can lead to unintended consequences and ineffective treatment.
My proposed solution is to adapt predictive models from the field of engineering and economics to the field of neurostimulation. By implementing these models in the software of neurostimulation devices, we can create stimulation patterns that are more effective and efficient in steering brain activity away from unwanted regimes.
The benefit of this research is that it has the potential to improve the quality of life for millions of people who rely on neurostimulation therapy.
