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This technology is a novel personalized neuromodulation therapy, a novel machine learning process that can accurately link the stimulation parameters to the brain response.
About
This
technology is a novel personalized neuromodulation therapy. There are more than
600 neurological disorders affecting patients and they impact an estimated 50
million patients each year in the US alone. In recent years, deep brain
stimulation (DBS), which uses the focused delivery of current to the brain to
affect neural processes, has been used as a treatment for nervous system
disorders. However, the outcome of the DBS varies from patient to patient and
is not predictable. Scientists at Georgia State have developed a novel machine
learning process that can accurately link the stimulation parameters to the
brain response in each individual patient, leading to better patient outcomes.
Key Benefits
• Higher Success Rate –Personalized control systems generate stimulation that effectively treats the disorder in a higher percentage of patients.
• Lower Visit Costs and Time – The appropriate stimulation processes to create the bet clinical outcome are established more rapidly, reducing visit time and therefore costs.
• Better Clinical Outcomes – Personalized stimulation processes can select the appropriate stimulation for the required outcome for each patient individually, leading to more patients receiving optimal therapeutic outcomes.
Applications
• Parkinson's disease
• Essential tremor
• Conditions that cause dystonia, such as Meige syndrome
• Epilepsy
• Tourette syndrome
• Obsessive-compulsive disorder
• Major Depression
• Tinnitus
• Stroke recovery