IP Library › Granted Patent US 10,850,099
Granted Patent B2
US 10,850,099 · App. 15/983,629 · Granted Dec 1, 2020

Transcranial stimulation system and method to improve cognitive function after traumatic brain injury

Inventors: Steven W. Skorheim (Canoga Park, CA); Nicholas A. Ketz (Topanga, CA); Jaehoon Choe (Agoura Hills, CA); Praveen K. Pilly (West Hills, CA)
Assignee: HRL Laboratories, LLC
A61N1/36025A61M21/00A61N1/025A61N1/0484A61N1/36034G16H20/30G16H20/70A61M2021/0072A61M2205/52A61M2230/10
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Quick Facts
Patent No.
US 10,850,099
App. No.
15/983,629
Granted
Dec 1, 2020
Kind
B2
Abstract

Described is a system for transcranial stimulation to improve cognitive function. During operation, the system generates a customized stimulation pattern based on damaged white matter. Further, data is obtained representing natural brain oscillations of a subject. Finally, while the subject is awake, one or more electrodes are activated in phase with the natural brain oscillations and based on the customized stimulation pattern.

Claims (35)

1. A system for transcranial stimulation to improve cognitive function, the system comprising:

one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations of:

generating a customized stimulation pattern based on damaged white matter;

obtaining data representing natural brain oscillations of the subject; and

activating, while the subject is awake, one or more electrodes in phase with the natural brain oscillations and based on the customized stimulation pattern.

2. The system as set forth in claim 1 , further comprising a skull cap having a plurality of electrodes, wherein the one or more electrodes are included in the plurality of electrodes.

3. The system as set forth in claim 2 , further comprising an operation of activating, while the subject is asleep and during a positive phase of slow-wave oscillations, a second set of one or more of the plurality of electrodes in the skull cap based on the customized stimulation pattern.

4. The system as set forth in claim 3 , wherein the customized stimulation pattern includes activating at least two of the plurality of electrodes in the skull cap to provide simultaneous pulses to regions on both sides of the damaged white matter.

5. The system as set forth in claim 4 , further comprising an operation of activating a third set of one or more of the plurality of electrodes in the skull cap based on STAMP patterns during task learning.

6. The system as set forth in claim 5 , wherein activating the one or more electrodes includes creating patterns of stimulation in phase with neural activity to synchronize activity across damaged white matter.

7. The system as set forth in claim 1 , further comprising an operation of activating, while the subject is asleep and during a positive phase of slow-wave oscillations, a second set of one or more electrodes, based on the customized stimulation pattern.

8. The system as set forth in claim 1 , wherein the one or more electrodes includes at least two electrodes, and wherein the customized stimulation pattern includes activating the at least two electrodes to provide simultaneous pulses to regions on both sides of the damaged white matter.

9. The system as set forth in claim 1 , further comprising an operation of activating a second set of one or more electrodes based on STAMP patterns during task learning.

10. The system as set forth in claim 1 , wherein activating the one or more electrodes includes creating patterns of stimulation in phase with neural activity to synchronize activity across damaged white matter.

11. A computer program product for transcranial stimulation to improve cognitive function, the computer program product comprising:

a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of:

generating a customized stimulation pattern based on damaged white matter;

obtaining data representing natural brain oscillations of the subject; and

activating, while the subject is awake, one or more electrodes in phase with the natural brain oscillations and based on the customized stimulation pattern.

12. The computer program product as set forth in claim 11 , further comprising an operation of activating, while the subject is asleep and during a positive phase of slow-wave oscillations, a second set of one or more electrodes based on the customized stimulation pattern.

13. The computer program product as set forth in claim 12 , wherein the one or more electrodes includes at least two electrodes, and wherein the customized stimulation pattern includes activating the at least two electrodes to provide simultaneous pulses to regions on both sides of the damaged white matter.

14. The computer program product as set forth in claim 13 , further comprising an operation of activating a third set of one or more electrodes based on STAMP patterns during task learning.

15. The computer program product as set forth in claim 14 , wherein activating the third set of one or more electrodes includes creating patterns of stimulation in phase with neural activity to synchronize activity across damaged white matter.

16. The computer program product as set forth in claim 11 , wherein the one or more electrodes includes at least two electrodes, and wherein the customized stimulation pattern includes activating the at least two electrodes to provide simultaneous pulses to regions on both sides of the damaged white matter.

17. The computer program product as set forth in claim 11 , further comprising an operation of activating a second set of one or more electrodes based on STAMP patterns during task learning.

18. The computer program product as set forth in claim 11 , wherein activating the one or more electrodes includes creating patterns of stimulation in phase with neural activity to synchronize activity across damaged white matter.

19. A computer implemented method for transcranial stimulation to improve cognitive function, the method comprising an act of:

causing one or more processers to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:

generating a customized stimulation pattern based on damaged white matter;

obtaining data representing natural brain oscillations of the subject; and

activating, while the subject is awake, one or more electrodes in phase with the natural brain oscillations and based on the customized stimulation pattern.

20. The method as set forth in claim 19 , further comprising an operation of activating, while the subject is asleep and during a positive phase of slow-wave oscillations, a second set of one or more electrodes based on the customized stimulation pattern.

21. The method as set forth in claim 19 , wherein the one or more electrodes includes at least two electrodes, and wherein the customized stimulation pattern includes activating the at least two electrodes to provide simultaneous pulses to regions on both sides of the damaged white matter.

22. The method as set forth in claim 19 , further comprising an operation of activating a second set of one or more electrodes based on STAMP patterns during task learning.

23. The method as set forth in claim 19 , wherein activating the one or more electrodes includes creating patterns of stimulation in phase with neural activity to synchronize activity across damaged white matter.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 18, 2018
From: SKORHEIM, STEVEN W.; KETZ, NICHOLAS A.; CHOE, JAEHOON; PILLY, PRAVEEN K.
To: HRL LABORATORIES, LLC
Reel/Frame 045846/0347 →
Continuity (5)
Continuation In Part 15332787 · Oct 24, 2016
Provisional Application 62245730 · Oct 23, 2015
Provisional Application 62534133 · Jul 18, 2017
Provisional Application 62570669 · Oct 11, 2017
Related Publication 20180264264A1 · Sep 20, 2018
Cited By (2)
US 12,251,563 US 12,453,507