Method to enhance specific memories with tCS during slow-wave sleep

• US 10,092,753 B1
• Filed: 08/03/2016
• Issued: 10/09/2018
• Est. Priority Date: 08/27/2015
• Status: Active Grant

• Current Assignee: HRL Laboratories LLC (The Boeing Co.)
• Original Assignee: HRL Laboratories LLC (The Boeing Co.)
• Inventors: Howard, Michael D., Pilly, Praveen K., Ziegler, Matthias, Phillips, Matthew E., Bhattacharyya, Rajan
• Primary Examiner(s): Porter, Jr., Allen
• Application Number:
  US15/227,922
• Time in Patent Office: 797 Days
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4836 Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61N 1/0456 Specially adapted for transcutaneous electrical nerve stimulation [TENS]
• CPC Class Codes: A61N 1/0484 Garment electrodes worn by the patient
• CPC Class Codes: A61N 1/36025 for treating a mental or cerebral condition

Abstract

Described is a system for enhancing memories during sleep. The system detects, via at least one sensor, brain activity of a user as the user learns a new episode pattern or recalls an episode pattern. The episode pattern is temporally compressed. A specific sleep stage is detected in the user. Upon detection of the specific sleep stage, the system automatically recreates the temporally compressed episode pattern by applying neural stimulation to the user to ensure the consolidation of the episode pattern in the user.

Claims

1. A system for enhancing memories during sleep, the system comprising:

one or more processors and a non-transitory memory having instructions encoded thereon such that when the instructions are executed, the one or more processors perform operations of;

recording, via at least one transcranial sensor, transcranial sensor electrical signals during learning or recall of a memory;

using magnetic resonance imaging (MRI) data, mapping the transcranial sensor electrical signals to voxels of brain volume;

translating the mapped transcranial sensor electrical signals into an electric field by using an optimization technique to solve for the electric field;

upon detection of non-rapid eye movement (NREM) slow-wave sleep, applying, via a set of electrodes, the electric field.

2. The system as set forth in claim 1, wherein the recording of the transcranial sensor electrical signals is compressed to match a cortical replay speed during NREM slow-wave sleep.

3. The system as set forth in claim 2, wherein, if needed, the one or more processors further perform an operation of causing application of transcranial alternating current stimulation (tACS) to a prefrontal cortex during NREM sleep for enhancing and prolonging slow-wave sleep.

4. The system as set forth in claim 1, wherein the one or more processors further perform operations of:

if the user is not in a slow-wave sleep stage, then automatically inducing slow-wave sleep using transcranial alternating current stimulation (tACS).

5. The system as set forth in claim 1, wherein the electric field comprises low levels of spatiotemporally patterned high definition transcranial current stimulation (HD-tCS).

6. The system as set forth in claim 1, wherein the electric field is applied using a transcranial stimulation cap.

7. A computer-implemented method for enhancing memories during sleep, comprising:

an act of causing one or more processors to execute instructions stored on a non-transitory memory such that upon execution, the one or more processors perform operations of;

recording, via at least one transcranial sensor, transcranial sensor electrical signals during learning or recall of a memory;

using magnetic resonance imaging (MRI) data, mapping the transcranial sensor electrical signals to voxels of brain volume;

translating the mapped transcranial sensor electrical signals into an electric field by using an optimization technique to solve for the electric field;

upon detection of non-rapid eye movement (NREM) slow-wave sleep, applying, via a set of electrodes, the electric field.

8. The method as set forth in claim 7, wherein the recording of the transcranial sensor electrical signals is compressed to match a cortical replay speed during NREM slow-wave sleep.

9. The method as set forth in claim 8, wherein, if needed, the one or more processors further perform an operation of causing application of transcranial alternating current stimulation (tACS) to a prefrontal cortex during NREM sleep for enhancing and prolonging slow-wave sleep.

10. The method as set forth in claim 7, wherein the one or more processors further perform operations of:

if the user is not in a slow-wave sleep stage, then automatically inducing slow-wave sleep using transcranial alternating current stimulation (tACS).

11. The method as set forth in claim 7, wherein the electric field comprises low levels of spatiotemporally patterned high definition transcranial current stimulation (HD-tCS).

12. The method as set forth in claim 7, wherein the electric field is applied using a transcranial stimulation cap.

13. A computer program product for enhancing memories during sleep, the computer program product comprising:

computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the processor to perform operations of;

recording, via at least one transcranial sensor, transcranial sensor electrical signals during learning or recall of a memory;

using magnetic resonance imaging (MRI) data, mapping the transcranial sensor electrical signals to voxels of brain volume;

translating the mapped transcranial sensor electrical signals into an electric field by using an optimization technique to solve for the electric field;

upon detection of non-rapid eye movement (NREM) slow-wave sleep, applying, via a set of electrodes, the electric field.

14. The computer program product as set forth in claim 13, wherein the recording of the transcranial sensor electrical signals is compressed to match a cortical replay speed during NREM slow-wave sleep.

15. The computer program product as set forth in claim 14, wherein, if needed, the one or more processors further perform an operation of causing application of transcranial alternating current stimulation (tACS) to a prefrontal cortex during NREM sleep for enhancing and prolonging slow-wave sleep.

16. The computer program product as set forth in claim 13, further comprising instructions for causing the one or more processors to perform operations of:

if the user is not in a slow-wave sleep stage, then automatically inducing slow-wave sleep using transcranial alternating current stimulation (tACS).

17. The computer program product as set forth in claim 13, wherein the electric field comprises low levels of spatiotemporally patterned high definition transcranial current stimulation (HD-tCS).