Brain stimulation models, systems, devices, and methods
First Claim
1. A computer-assisted method comprising:
- a) obtaining volumetric imaging data representing an anatomic volume of a brain of a patient;
b) generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties;
c) using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of;
i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and
d) providing information about the at least one calculated volume of influence to a user or automated process.
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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. A model computes a volume of influence region for a simulated electrical stimulation using certain stimulation parameters, such as amplitude, pulsewidth, frequency, pulse morphology, electrode contact selection or location, return path electrode selection, pulse polarity, etc. The model uses a non-uniform tissue conductivity. This accurately represents brain tissue, which has highly directionally conductive neuron pathways yielding a non-homogeneous and anisotropic tissue medium. In one example, the non-uniform tissue conductivity is obtained from diffusion tensor imaging (DTI) data. In one example, a second difference of an electric potential distribution is used to define a volume of activation (VOA) or similar volume of influence. In another example, a neuron or axon model is used to calculate the volume of influence without computing the second difference of the electric potential distribution.
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Citations
42 Claims
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1. A computer-assisted method comprising:
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a) obtaining volumetric imaging data representing an anatomic volume of a brain of a patient; b) generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties; c) using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and d) providing information about the at least one calculated volume of influence to a user or automated process. - View Dependent Claims (2, 3, 4, 5)
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6. A computerized system comprising:
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a processor circuit, configured to generate from volumetric imaging data representing an anatomic volume of a brain of a patient a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties, and wherein the processor is configured to use the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein the processor is configured to calculate the volume of influence by at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and wherein the processor comprises an output that is configured to provide information about the at least one calculated volume of influence to a user or automated process. - View Dependent Claims (7, 8)
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9. A computer-assisted method comprising:
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a) obtaining volumetric imaging data representing an anatomic volume of a brain of a patient; b) generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties; c) using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and d) displaying the volume of influence. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A machine-accessible medium comprising instructions for:
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a) obtaining volumetric imaging data representing an anatomic volume of a brain of a patient; b) generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties; c) using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and d) displaying the volume of influence. - View Dependent Claims (16, 17)
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18. A computerized system comprising:
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a processor circuit, configured to generate from volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties, and wherein the processor is configured to use the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein the processor is configured to calculate the volume of influence by at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume and a display monitor device, coupled to the processor circuit, the display monitor device operable to display the volume of influence. - View Dependent Claims (19, 20, 21, 22)
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23. A computer-assisted method comprising:
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obtaining imaging data of an anatomic volume of a brain of a patient; obtaining a first electrode location in the volumetric imaging data; generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties; using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; determining a correlation between the calculated volume of influence and a target volume of influence; and providing information about the correlation to a user or an automated process. - View Dependent Claims (24, 25, 26, 27, 28, 29, 31, 32)
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30. The method of claim 48, in which the adjusting includes adjusting a stimulation pulsewidth.
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33. A machine-accessible medium comprising instructions for:
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obtaining imaging data of an anatomic volume of a brain of a patient; obtaining a first electrode location in the volumetric imaging data; generating from the volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties; using the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein calculating the volume of influence comprises at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; determining a correlation between the calculated volume of influence and a target volume of influence; and providing information about the correlation to a user or an automated process. - View Dependent Claims (34, 35, 36)
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37. A system comprising:
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a processor circuit, configured to generate from volumetric imaging data representing an anatomic volume of a brain of a patient a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties, and wherein the processor is configured to use the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein the processor is configured to calculate the volume of influence by at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume, the processor also operable to determine a correlation between the calculated volume of influence and a target volume of influence, and in which the processor is also operable to adjustably output at least one of a desirable first electrode location and a desirable at least one stimulation parameter setting using the correlation; and a display, operable to display an indication of at least one of the desirable first electrode location and the desirable at least one stimulation parameter setting. - View Dependent Claims (38, 39)
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40. A computer-implemented system including:
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a processor circuit, configured to generate from volumetric imaging data a computer model that allows a non-uniform conductivity to represent inhomogeneous and anisotropic tissue properties, and wherein the processor is configured to use the computer model to calculate at least one volume of influence, wherein the volume of influence comprises a predicted volume of tissue affected by an electrical stimulation delivered by an electrode at a corresponding at least one candidate electrode target location, and wherein the processor is configured to calculate the volume of influence by at least one of; i) calculating a second difference of a potential distribution to represent the volume of influence;
orii) calculating the volume of influence includes using an electric field model together with a multi-compartment neuron model oriented and positioned to represent at least one actual nerve pathway in the anatomic volume; and a graphical user interface, the user interface including a display configured to represent the volume of influence of a specific patient using a patient-specific model that incorporates an indication of tissue conductivity data from imaging data from the specific patient, and using a specific electrode location and specific setting of stimulation parameters, the display also including a patient-specific volumetric representation of a segmented target region of brain tissue. - View Dependent Claims (41, 42)
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Specification