Pathology modifying neuromodulation therapy design

Stanford researchers at the Lee Lab have developed a new system and method for measuring pathology then applying a novel algorithm to optimize neurostimulation therapy for altering pathology for treatment of neurodegenerative diseases.

Optimal neurostimulation therapy parameters include the location, strength, and frequency of neurostimulation. For example, the location of neurostimulation can be set based on where this algorithm predicts pathology to occur. Other parameters such as stimulation frequency and pulse width can subsequently be set to target specific neuronal cell- types or circuits within the brain.

This model empowers mechanistic understanding and accurate prediction of disease progression, paving the way for the development and testing of therapeutic interventions.

Application of this new strategy is described in Stanford docket S22-403 "Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI"

Figure:

Figure description: Clinical Use of Technology

Image credit: Lee Lab

Stage of Development