IP Library Granted Patent US 11,278,726
Granted Patent B2
US 11,278,726 · App. 16/555,376 · Granted Mar 22, 2022

Systems and methods for monitoring neural activity

Inventors: Nicholas Sinclair (East Melbourne, AU); Hugh McDermott (East Melbourne, AU); James Fallon (East Melbourne, AU); Thushara Perera (East Melbourne, AU); Arthur Wesley Thevathasan (East Melbourne, AU); Kristian Bulluss (East Melbourne, AU)
Assignee: DEEP BRAIN STIMULATION TECHNOLOGIES PTY LTD
A61N1/36139A61B5/24A61B5/377A61B5/4842A61B5/6868A61N1/0534A61N1/36A61N1/36067A61N1/36167A61N1/36178A61N1/37514A61N1/36064A61N1/36185
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Quick Facts
Patent No.
US 11,278,726
App. No.
16/555,376
Granted
Mar 22, 2022
Kind
B2
Abstract

A method of monitoring neural activity responsive to a stimulus in a brain, the method comprising: applying the stimulus to one or more of at least one electrode implanted in a target neural structure of the brain; detecting a resonant response from the target neural structure evoked by the stimulus at one or more of the at least one electrode in or near the target neural structure of the brain; and determining one or more waveform characteristics of the detected resonant response.

Claims (63)

1. A method of monitoring neural activity responsive to a stimulus in a brain of a patient, the method comprising:

a. applying the stimulus to one or more of at least one electrode implanted in or near a target neural structure of the brain;

b. detecting a resonant response from the target neural structure evoked by the stimulus at one or more of the at least one electrode in or near the target neural structure of the brain, the resonant response having a frequency of between 200 Hz and 500 Hz; and

c. determining one or more waveform characteristics of the detected resonant response.

2. The method of claim 1 , wherein the one or more waveform characteristics are determined based on at least part of a second or subsequent cycle in the detected resonant response.

3. The method of claim 1 , wherein the one or more waveform characteristics comprises one or more of the following:

a) a frequency of the resonant response;

b) a temporal envelope of the resonant response;

c) an amplitude of the resonant response;

d) a fine structure of the resonant response;

e) a rate of decay of the resonant response;

f) a delay between the onset of the stimulus and the onset of a temporal feature of the resonant response;

g) a rate of change of the resonant response.

4. The method of claim 1 , further comprising:

adapting the stimulus based on the one or more determined waveform characteristics of the resonant response.

5. The method of claim 4 , wherein the stimulus is adapted based on the time elapsed between adjacent peaks in the resonant response, wherein the stimulus is adapted if the time elapsed between two adjacent peaks in the resonant response is less than a first predetermined time period associated with alleviation of movement symptoms in the patient, wherein the predetermined time period associated with alleviation of movement symptoms in the patient is less than about 3.5 ms.

6. The method of claim 4 , wherein the stimulus is adapted based on the time between the stimulus and one or more peaks of the resonant response, wherein the stimulus is adapted if the time elapsed between the stimulus and a peak in the resonant response is between first and second predetermined time periods associated with alleviation of movement symptoms in the patient.

7. The method of claim 4 , further comprising:

correlating the detected resonant response with a template resonant response; and

adapting the stimulus based on the correlation.

8. The method of claim 1 , wherein the stimulus comprises a patterned signal comprising a plurality of bursts separated by a first time period, each burst comprising a plurality of pulses separated by a second time period, wherein the first time period is greater than the second time period and wherein the detecting is performed during one or more of the first time periods.

9. The method of claim 1 , further comprising:

applying a second stimulus to a target neural structure in the brain;

detecting a second resonant response from the target neural structure evoked by the second stimulus at one or more of the at least one electrode implanted in or near the target neural structure;

determining one or more second waveform characteristics of the detected second resonant response.

10. The method of claim 1 , further comprising:

determining whether one or more of the at least one electrode is positioned in the target neural network based on the detected resonant response.

11. The method of claim 10 , wherein the at least one electrode comprises a plurality of electrodes, and wherein the steps of applying the stimulus, detecting a resonant response and determining one or more waveform characteristics of the detected resonant response are repeated using different combinations of the at least one electrode to generate a profile of resonant responses.

12. The method of claim 1 , further comprising:

repeating the steps of applying the stimulus, detecting a resonant response and determining one or more waveform characteristics of the detected resonant response.

13. The method of claim 1 , further comprising:

selecting one or more of the at least one electrode to use for therapeutic stimulation of the target neural structure based on the one or more waveform characteristics; and

applying a therapeutic stimulus to the target neural structure via the selected one or more of the at least one electrode.

14. The method of claim 1 , wherein the one or more of the at least one electrode used to apply the stimulus comprises at least two electrodes and/or wherein the one or more of the at least one electrode used to detect the resonant response comprises at least two electrodes.

15. The method of claim 1 , wherein the neural target structure is part of the cortico-basal ganglia-thalamocortical circuit.

16. The method of claim 1 , wherein the neural target structure is the subthalamic nucleus, globus pallidus interna, substantia nigra pars reticulata, pedunculopontine nucleus.

17. The system of claim 16 , wherein the one or more waveform characteristics are determined based on at least part of a second or subsequent cycle in the detected resonant response.

18. The system of claim 17 , wherein the stimulus is adapted based on the time elapsed between adjacent peaks in the resonant response, wherein the stimulus is adapted if the time elapsed between two adjacent peaks in the resonant response is less than a first predetermined time period associated with alleviation of movement symptoms in the patient, wherein the predetermined time period associated with alleviation of movement symptoms in the patient is less than about 3.5 ms.

19. The system of claim 17 , wherein the stimulus is adapted based on the time between the stimulus and one or more peaks of the resonant response, wherein the stimulus is adapted if the time elapsed between the stimulus and a peak in the resonant response is between first and second predetermined time periods associated with alleviation of movement symptoms in the patient.

20. The system of claim 17 , wherein the stimulus comprises a patterned signal comprising a plurality of bursts separated by a first time period, each burst comprising a plurality of pulses separated by a second time period, wherein the first time period is greater than the second time period and wherein the detecting is performed during one or more of the first time periods.

21. The system of claim 16 , wherein the one or more waveform characteristics comprises one or more of the following:

a) a frequency of the resonant response;

b) a temporal envelope of the resonant response;

c) an amplitude of the resonant response;

d) a fine structure of the resonant response;

e) a rate of decay of the resonant response;

f) a delay between the onset of the stimulus and the onset of a temporal feature of the resonant response;

g) a rate of change of the resonant response.

22. The system of claim 16 , wherein the processing unit is configured to:

control the signal generator to adapt the stimulus based on the one or more determined waveform characteristics of the resonant response.

23. The system of claim 16 , wherein the processing unit is configured to:

estimate a degree of progression of a disease associated with the patient or an effect of a therapy provided to the patient based on the one or more waveform characteristics and one or more second waveform characteristics, the one or more second waveform characteristics determined based on a second resonant response detected after the resonant response.

24. The method of claim 1 , wherein the patient is under general anaesthetic.

25. The method of claim 1 , wherein detecting a resonart response from the target neural structure evoked by the stimulus comprises detecting the resonant response at two or more of the at least one electrode; wherein the method further comprises comparing the one or more waveform characteristics of the detected resonant response detected at the two or more of the at least one electrode.

26. The method of claim 25 , further comprising adapting the stimulus based on the comparison.

27. A neurostimulation system, comprising:

a lead having at least one electrode adapted for implantation in or near a target neural structure in a brain of a patient;

a signal generator selectively coupled to one or more of the at least one electrode and configured to generate a stimulus to stimulate the target neural structure;

a measurement device selectively coupled to one or more of the at least one electrode and configured to detect a resonant response from the target neural structure evoked by the stimulus, the resonant response having a frequency of between 200 Hz and 500 Hz;

a processing unit coupled to the measurement device and configured to determine one or more waveform characteristics of the detected resonant response.

28. The system of claim 27 , wherein detecting a resonant response from the target neural structure evoked by the stimulus comprises detecting the resonant response at two or more of the at least one electrode; wherein the method further comprises:

comparing the one or more waveform characteristics of the detected resonant response detected at the two or more of the at least one electrode; and

adapting the stimulus based on the comparison.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 21, 2026
From: DEEP BRAIN STIMULATION TECHNOLOGIES PTY LTD
To: BOSTON SCIENTIFIC NEUROMODULATION CORPORATION
Reel/Frame 074730/0708 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2020
From: THE BIONICS INSTITUTE OF AUSTRALIA
To: DEEP BRAIN STIMULATION TECHNOLOGIES PTY. LTD.
Reel/Frame 051630/0108 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2019
From: SINCLAIR, NICHOLAS; MCDERMOTT, HUGH; FALLON, JAMES; PERERA, THUSHARA; THEVATHASAN, ARTHUR WESLEY; BULLUSS, KRISTIAN
To: THE BIONICS INSTITUTE OF AUSTRALIA
Reel/Frame 050219/0198 →
Priority Claims (1)
AU 2016903116 · Aug 8, 2016 · national
Continuity (3)
Continuation 16195294 · Nov 19, 2018
Continuation PCTAU2017050809 · Aug 2, 2017
Related Publication 20190381317A1 · Dec 19, 2019
Cited By (1)
US 12,403,313