SYSTEMS AND METHODS FOR PERSONALIZED ULTRASOUND NEUROMODULATION

Smart overview of the Invention

The application describes a system and method for personalized ultrasound neuromodulation, utilizing personalized electrophysiological data to guide ultrasound targeting and dosage. This approach enables modulation of both the central and peripheral nervous systems to treat neurological and mental disorders. The system includes a portable ultrasound console, a wearable guiding apparatus, and methods for customizing ultrasound waveforms to enhance neuromodulation effectiveness.

Background and Challenges

Neurological disorders affect a significant global population, with millions suffering from conditions like migraines, depression, and epilepsy. Traditional treatments often rely on pharmacological methods, which can lead to side effects such as addiction. Invasive neuromodulation techniques, while effective, pose risks and are costly. Non-invasive methods like transcranial magnetic stimulation (TMS) lack precision due to energy diffusion.

Advantages of tFUS

Low-intensity transcranial focused ultrasound (tFUS) offers a non-invasive alternative with high spatial resolution and the ability to target deep brain regions. tFUS can induce behavioral and electrophysiological changes with high precision. It allows for real-time targeting and the ability to focus on multiple brain regions simultaneously. Guidance systems, such as optical-based image-guided navigation, help ensure accurate targeting.

Personalization and Optimization

The effectiveness of neuromodulation can be enhanced by personalizing it based on an individual's functional data. This involves adjusting ultrasound parameters according to the brain's response. Personalized data can also optimize peripheral nerve stimulation techniques, like vagus nerve stimulation, which have shown effectiveness in treating various disorders. Biomarkers from personalized neural sensing can guide treatment for conditions like epilepsy and pain.

Conclusion

Personalized functional data not only aids in treating pathological conditions but also reflects mental well-being. This data can guide and optimize ultrasound neuromodulation parameters in a closed-loop system, providing a tailored treatment approach. The application emphasizes the need for personalized neuromodulation techniques, particularly using ultrasound, to improve efficacy and patient outcomes.