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US 2013/0096891 A1Published application
Estimation of neural response for optical stimulation
AssigneeThe Cleveland Clinic Foundation
InventorsCameron C. McIntyre, Thomas J. Foutz
Life of this patent
Estimating the term…
Abstract
This disclosure relates generally to systems and methods for estimating a volume of tissue directly influenced (VTDI) by optogenetic stimulation. The systems and methods can also enable a user to quantitatively predict the spread of stimulation (e.g., action potential) resulting from optical stimulation in a patient's tissue.
Claims30
A computer-implemented method comprising:
- storing, in memory, an estimated volume of distribution in tissue for a viral vector designed to express a light-responsive protein;
- and
- computing, by a processor, an estimate of a volume of tissue directly influenced (VTDI) based on the estimated volume of distribution in tissue according to a light-neuron model, the light-neuron model comprising a computational model that includes parameters representing at least one of properties of a neuron, at least one of a light driven ion channel or light driven pump channel, and a light source.
The method of claim wherein the light-neuron model comprises
- a light-axon model, the light-axon model comprising:
- a multi-compartment axon model;
- a multi-state microbial opsin model, which is inserted into the axon model;
- and
- a light distribution model, the computing comprising solving the model to compute a threshold source irradiance to initiate action potential for each respective axon.
2 more elements
A non-transitory computer-readable medium comprising instructions executable by a processor, the instructions comprising:
- a computational light-neuron model comprising:
- a multi-compartment neuron model;
- and
- at least one of a multi-state ion channel model or a pump model, which is inserted into the neuron model, that includes parameters representing states and transitions;
- and
- a light distribution model that parameters irradiance from a light source on the neuron model;
- an estimator programmed to evaluate an estimate of a volume of tissue directly influenced (VTDI) over a set of model parameters and compute a set of output parameters based on a comparison of the estimated VTDI with a target VTDI;
- and
- storing the set of output parameters in memory.
6 more elements
Dependencies are inferred from the claim text.