IP Library Granted Patent US 11,529,519
Granted Patent B2
US 11,529,519 · App. 17/000,198 · Granted Dec 20, 2022

Technique to improve deep brain stimulation targeting during intraoperative microelectrode recordings

Inventors: George McConnell (Monroe, NY); Hanyan Li (Medford, MA)
Assignee: The Trustees of The Stevens Institute of Technology
A61N1/36175A61B5/377A61N1/0534A61N1/086A61N1/36067A61N1/36096A61N1/37241A61N1/37247A61B5/4064
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Quick Facts
Patent No.
US 11,529,519
App. No.
17/000,198
Granted
Dec 20, 2022
Kind
B2
Abstract

A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.

Claims (27)

1. A method for localizing brain regions of a patient, comprising the steps of:

i) providing a first set of stimulus pulses to the patient's brain at a first location, said first set of stimulus pulses having randomized amplitudes;

ii) recording a first dataset, including a first set of local field potentials, produced in response to said first set of stimulus pulses;

iii) providing a second set of stimulus pulses to the patient's brain at a second location which is spaced a distance from said first location, said second set of stimulus pulses having randomized amplitudes;

iv) recording a second dataset, including a second set of local field potentials, produced in response to said second set of stimulus pulses;

v) calculating frequency domain coherence values from said first set of local field potentials and said second set of local field potentials;

vi) recording said frequency domain coherence values in a comparison dataset;

vii) analyzing said comparison dataset to obtain analysis results; and

viii) using said analysis results to estimate at least one of said first location and said second location with respect to its functional location in the patient's brain.

2. The method of claim 1 , wherein step i) is performed by placing an electrode in the patient's brain at said first location.

3. The method of claim 2 , further comprising the step of moving said electrode from said first location to said second location.

4. The method of claim 2 , further comprising the step of temporally aligning said first dataset and said second dataset with at least one of said first set of stimulus pulses and said second set of stimulus pulses, whereby said second dataset and said first dataset are aligned with one another.

5. The method of claim 2 , wherein said electrode comprises a single track for recording.

6. The method of claim 2 , wherein said electrode comprises tungsten.

7. The method of claim 1 , wherein step i) comprises placing an electrode array in the patient's brain.

8. The method of claim 7 , wherein said array is configured to operate in connection with a brain-machine-interface.

9. The method of claim 1 , wherein said analyzing step comprises comparing said comparison dataset to reference SPACER patterns.

10. The method of claim 9 , wherein step viii) is performed when said comparison data corresponds to said reference SPACER patterns.

11. The method of claim 1 , wherein said first set of local field potentials and said second set of local field potentials are recorded during interstimulus intervals of said first set of stimulus pulses and second set of stimulus pulses, respectively.

12. The method of claim 1 , wherein said distance between said first location and said second location is 100 μm.

13. The method of claim 1 , wherein said first set of stimulus pulses and said second set of stimulus pulses have amplitudes of 100 μA or lower.

14. The method of claim 1 , wherein said first set of stimulus pulses and said second set of stimulation pulses have frequencies of from 0.5 Hz to 10 Hz.

15. The method of claim 1 , wherein said analysis results comprise longitudinal, quantitative feedback.

16. The method of claim 1 , further comprising the steps of obtaining complementary brain imaging data and verifying said analysis results with said complementary brain imaging data.

17. The method of claim 16 , wherein said complementary brain imaging data comprises Magnetic Resonance Imaging data.

18. The method of claim 16 , wherein said complementary brain imaging data comprises Computed Tomography data.

19. The method of claim 1 , wherein steps i-vi are repeated while varying said first location and said second location on a trajectory towards a target brain region, whereby said comparison dataset iteratively expands.

Assignments (2)
CONFIRMATORY LICENSE Recorded Oct 17, 2023
From: STEVENS INSTITUTE OF TECHNOLOGY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 065257/0071 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2020
From: MCCONNELL, GEORGE; LI, HANYAN
To: THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY
Reel/Frame 053587/0542 →
Continuity (2)
Provisional Application 62890414 · Aug 22, 2019
Related Publication 20210052903A1 · Feb 25, 2021