Method and system for displaying a volume of influence by an electrode inserted in neural tissue
First Claim
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1. A method for displaying a volume of influence by an electrode inserted in neural tissue of a patient, the method comprising:
- calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by the electrode;
displaying a target volume of influence and the predicted volume of influence on a display screen; and
configuring a mathematical model of (a) the electrode inserted inside the neural tissue and (b) a representation of an encapsulation tissue around the electrode.
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Abstract
This document discusses, among other things, brain stimulation models, systems, devices, and methods, such as for deep brain stimulation (DBS) or other electrical stimulation. In an example, a target volume of activation (VOA) can be received, a test VOA can be simulated, and at least one of a target electrode location or parameter can be provide using a relationship between the target VOA and the test VOA.
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Citations
28 Claims
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1. A method for displaying a volume of influence by an electrode inserted in neural tissue of a patient, the method comprising:
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calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by the electrode; displaying a target volume of influence and the predicted volume of influence on a display screen; and configuring a mathematical model of (a) the electrode inserted inside the neural tissue and (b) a representation of an encapsulation tissue around the electrode. - View Dependent Claims (2, 3, 4)
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5. A method for displaying a volume of influence by an electrode inserted in neural tissue of a patient, the method comprising:
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calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by the electrode; displaying a target volume of influence and the predicted volume of influence on a display screen; and configuring a mathematical model of the electrode inserted inside the neural tissue; wherein the mathematical model comprises; a parameter representing a tissue conductivity characteristic of the neural tissue; and a representation of an encapsulation tissue around the electrode. - View Dependent Claims (6, 7, 8)
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9. A non-transitory computer-readable storage medium comprising instructions for:
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calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by an electrode; displaying a target volume of influence and the predicted volume of influence on a display screen; and configuring a mathematical model of (a) the electrode inserted inside the neural tissue and (b) a representation of an encapsulation tissue around the electrode. - View Dependent Claims (10, 11, 12)
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13. A computer system having a display screen, the computer system programmed to perform steps that comprise:
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calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by an electrode; displaying a target volume of influence and the predicted volume of influence on a display screen; and configuring a mathematical model of (a) the electrode inserted inside the neural tissue and (b) a representation of an encapsulation tissue around the electrode. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A method for displaying a volume of influence by an electrode inserted in neural tissue of a patient, comprising:
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calculating a predicted volume of influence, wherein the predicted volume of influence is a prediction of the amount of neural tissue that will be activated by the electrode; displaying a target volume of influence and the predicted volume of influence on a display screen; and configuring a mathematical model of the electrode inserted inside the neural tissue;
wherein;the mathematical model comprises a parameter representing a tissue conductivity characteristic of the neural tissue; and calculating the predicted volume of influence comprises; solving the mathematical model to calculate a second derivative or an approximation of the second derivative of an electrical potential produced by the electrode under a set of electrode stimulation conditions within the neural tissue; and determining the predicted volume of influence using the second derivative or approximation of the second derivative of the electrical potential. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification