Granted Patent B2

US 12,403,313 · App. 17/838,778 · Granted Sep 2, 2025

Inventors: Andrew James Haddock (Los Angeles, CA); Tianhe Zhang (Studio City, CA); Mahsa Malekmohammadi (Sherman Oaks, CA)

Assignee: Boston Scientific Neuromodulation Corporation

A61N1/36128A61B5/374A61B5/7246A61B5/748

Abstract

Claims (40)

1. A method for estimating neural activation arising from deep brain stimulation by a stimulation system, the method comprising:

identifying a plurality of different anatomical structures of a brain stimulated by the deep brain stimulation;

for each of the different anatomical structures of the brain, providing at least one template signal for the anatomical structure of the brain;

obtaining a neural response signal resulting from the deep brain stimulation by the stimulation system;

decomposing the neural response signal in a time domain into a plurality of decomposed signals using the template signals to estimate neural activation of each of the different anatomical structures of the brain, wherein decomposing the neural response signal comprises decomposing the neural response signal using the template signals, wherein decomposing the neural response signal comprises determining weights for each of the template signals as portions of the neural response signal;

combining the template signals using the weights to generate a composite neural signal; and

using the estimated neural activations of each of the different anatomical structures of the brain to adjust stimulation settings of the stimulation system.

2. The method of claim 1 , further comprising determining a difference between the neural response signal and the composite neural signal.

3. The method of claim 2 , further comprising determining when the difference exceeds a predetermined threshold difference and, when so, adjusting the weights.

4. The method of claim 1 , further comprising filtering the neural response signal.

5. The method of claim 1 , wherein the plurality of different anatomical structures of the brain comprises at least one of the thalamus, subthalamic nucleus, globus pallidus interna, globus pallidus externa, or internal capsule.

6. The method of claim 1 , further comprising displaying a representation of at least a portion of the brain and receiving selections by a user from the representation of the plurality of different anatomical structures of the brain for deep brain stimulation.

7. The method of claim 1 , further comprising, for each of the different anatomical structures of the brain, receiving a selection of a type of signal to be used for the template signal.

8. A method for estimating neural activation arising from deep brain stimulation by a stimulation system, the method comprising:

identifying a plurality of different anatomical structures of a brain stimulated by the deep brain stimulation;

for each of the different anatomical structures of the brain, providing at least one template signal for the anatomical structure of the brain;

determining initial weights for each of the template signals using one or more distinctive frequency components in the template signals;

obtaining a neural response signal resulting from the deep brain stimulation by the stimulation system;

transforming the neural response signal into a frequency domain;

decomposing the neural response signal in the frequency domain into a plurality of decomposed signals using the template signals to estimate neural activation of each of the different anatomical structures of the brain, wherein decomposing the neural response signal comprises determining weights for each of the template signals as portions of the neural response signal; and

using the estimated neural activations of each of the different anatomical structures of the brain to adjust stimulation settings of the stimulation system.

9. The method of claim 8 , further comprising displaying a representation of at least a portion of the brain and receiving selections by a user from the representation of the plurality of different anatomical structures of the brain for deep brain stimulation.

10. The method of claim 8 , further comprising, for each of the different anatomical structures of the brain, receiving a selection of a type of signal to be used for the template signal.

11. The method of claim 8 , further comprising filtering the neural response signal.

12. The method of claim 8 , wherein the plurality of different anatomical structures of the brain comprises at least one of the thalamus, subthalamic nucleus, globus pallidus interna, globus pallidus externa, or internal capsule.

13. The method of claim 8 , further comprising combining the template signals using the weights to generate a composite neural signal.

14. A method for estimating neural activation arising from deep brain stimulation by a stimulation system, the method comprising:

identifying a plurality of different anatomical structures of a brain stimulated by the deep brain stimulation;

for each of the different anatomical structures of the brain, providing at least one template signal for the anatomical structure of the brain;

obtaining a neural response signal resulting from the deep brain stimulation by the stimulation system;

transforming the neural response signal into the frequency domain;

decomposing the neural response signal in the frequency domain into a plurality of decomposed signals using the template signals to estimate neural activation of each of the different anatomical structures of the brain, wherein decomposing the neural response signal comprises determining weights for each of the template signals as portions of the neural response signal;

combining the template signals using the weights to generate a composite neural signal; and

using the estimated neural activations of each of the different anatomical structures of the brain to adjust stimulation settings of the stimulation system.

15. The method of claim 14 , further comprising determining a difference between the neural response signal and the composite neural signal.

16. The method of claim 15 , further comprising determining when the difference exceeds a predetermined threshold difference and, when so, adjusting the weights.

17. The method of claim 14 , further comprising displaying a representation of at least a portion of the brain and receiving selections by a user from the representation of the plurality of different anatomical structures of the brain for deep brain stimulation.

18. The method of claim 14 , further comprising, for each of the different anatomical structures of the brain, receiving a selection of a type of signal to be used for the template signal.

19. The method of claim 14 , further comprising filtering the neural response signal.

20. The method of claim 14 , wherein the plurality of different anatomical structures of the brain comprises at least one of the thalamus, subthalamic nucleus, globus pallidus interna, globus pallidus externa, or internal capsule.

Assignments (1)

Continuity (2)

References Cited (400)