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Docket #: S22-403

Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI

Stanford researchers at the Lee Lab have developed a method to understand whole-brain circuit mechanisms underlying neurological disease and its application to predict the outcome of therapeutic interventions.

By combining optogenetic fMRI with computational modeling, cell type-specific, large-scale brain circuit function and dysfunction are now starting to be quantitatively parameterized. These new findings can pave the path for future therapeutics developments based on a systems engineering approach aimed at directly restoring brain function.

Figure:

Figure description: Graphical Abstract

Image credit: https://doi.org/10.1016/j.celrep.2022.111631

Stage of Development

  • Proof of Concept
  • Applications

    • Neuromodulation therapy design for neurogenerative diseases
    • The method can be applied to predict the optimal targets and parameters of the neuromodulation treatments for a number of neurological disorders, including but not limited to Parkinsons disease (PD), dystonia, and epilepsy

    Advantages

    • Systematically designed treatments for brain disorders
    • Enables virtual neuromodulations for the treatments of neurological disorders
    • By implementing such virtual neuromodulations, rapid optimization and customization can be achieved that saves the time and financial costs of carrying out in vivo experiments
    • Incorporates cell-type information to modeling

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