Researchers at the University of Pittsburgh have developed a system for the automated selection of stimulation parameters for deep brain stimulation (DBS) targeting the thalamus to enhance motor cortex excitability and increase muscle activity. This innovative method aims to improve motor and speech functions in individuals affected by conditions such as stroke, ALS, and traumatic brain injury. By optimizing DBS parameters automatically, this technology reduces the need for manual adjustments by trained experts, potentially lowering treatment costs and improving patient outcomes.
Description
The system involves delivering electrical stimulation to the motor cortex and thalamus using one or more electrodes to elicit motor evoked potentials (MEPs) in targeted muscles. The recorded MEPs are analyzed to adjust stimulation parameters (e.g., current amplitude, frequency, pulse width) iteratively, optimizing the DBS settings for each patient. This approach enhances muscle activity in the face and arms, aiding in functions such as speech, swallowing, and hand grasp. The technology leverages both implanted and external stimulators, with muscle activity recorded through surface electromyography.
Applications
- Rehabilitation for stroke-induced motor impairments
- Treatment of motor and speech impairments in ALS patients
- Recovery from traumatic brain injuries
- Enhancing motor function in neurodegenerative conditions
Advantages
This automated system for DBS parameter selection offers several benefits, including improved efficiency in initial parameter settings, reduced dependence on trained experts, and lower treatment costs. By targeting sensory afferents and recording muscle activity, the system provides precise adjustments to stimulation parameters, enhancing motor and speech functions. The iterative process ensures continuous optimization, potentially leading to better long-term therapeutic effects and improved patient independence.
Invention Readiness
The technology has been tested in vivo, demonstrating its potential to enhance muscle activity and improve motor functions. The system's ability to automatically adjust DBS parameters based on recorded MEPs has shown promising results in pre-clinical studies.
IP Status
Patent pending
