Deep brain stimulation system and method with multi-modal, multi-symptom neuromodulation

US10786676B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10786676-B2
Application numberUS-201715788563-A
CountryUS
Kind codeB2
Filing dateOct 19, 2017
Priority dateOct 21, 2016
Publication dateSep 29, 2020
Grant dateSep 29, 2020

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for controlling a deep brain stimulator (DBS) implanted in a brain of a subject, comprising the steps of: receiving electrical data obtained from a DBS implanted in a subcortical structure including a globus pallidus of the brain of the subject; determining that the subject is in an awake state based on analyzing the electrical data from the subcortical structure based on first phase amplitude coupling (PAC) data from the globus pallidus; determining that the subject is in an NREM sleep stage based on analyzing the electrical data from the DBS implanted in the subcortical structure to identify second PAC data which is reduced compared to the first PAC data from the awake state and at least one of a K complex or a spindle; and adjusting control of the DBS based on determining that the subject is in an NREM sleep stage. 2. The method of claim 1 , wherein the globus pallidus includes at least one of a globus pallidus internal (GPI) segment, a globus pallidus external (GPe) segment, and the subcortical structure further includes one of: a subthalamic nucleus (STN) or a thalamus. 3. The method of claim 1 , wherein the electrical data comprises a plurality of frequency bands, and wherein determining that the subject is in the NREM sleep stage further comprises: determining that the subject is in the NREM sleep stage based on calculating a relative power associated with each of the plurality of frequency bands. 4. The method of claim 3 , wherein adjusting control of the DBS further comprises: reducing therapeutic stimulation of the DBS based on determining that the subject is in the NREM sleep stage. 5. The method of claim 4 , further comprising: receiving further electrical data obtained from the subcortical structure of the brain of the subject, determining that the subject is no longer in the NREM sleep stage based on analyzing the further electrical data, and resuming the therapeutic stimulation of the DBS based on determining that the subject is no longer in the NREM sleep stage. 6. The method of claim 1 , wherein determining the that the subject is in the NREM sleep stage based on analyzing the electrical data further comprises: determining that the sleep stage of the subject is asleep during a preprogrammed waking period, and wherein adjusting control of the DBS based on determining that the subject is in the NREM sleep stage further comprises: transmitting a signal from the DBS to alert the subject to wake up. 7. A method for modulating sleep in a subject, comprising: receiving electrical data obtained from a deep brain stimulator (DBS) implanted in a subcortical structure including a globus pallidus of a brain of the subject; determining that the subject is in an awake state based on analyzing the electrical data from the subcortical structure based on first phase amplitude coupling (PAC) data from the globus pallidus; determining that the subject is in an NREM sleep stage based on analyzing the electrical data from the DBS implanted in the subcortical structure to identify second PAC data which is reduced compared to the first PAC data from the awake state and at least one of a K complex or a spindle; stimulating the subcortical structure of the brain of the subject using the DBS implanted in the brain of the subject to alter the NREM sleep stage of the subject based on determining that the subject is in the NREM sleep stage, stimulating comprising applying a patterned stimulation to the subcortical structure using the DBS. 8. The method of claim 7 , wherein the patterned stimulation comprises: a charge balanced pulse train comprising a maximal energy delivered at a center frequency Fc to amplify oscillations having the center frequency Fc. 9. The method of claim 8 , further comprising: receiving feedback signals obtained from the brain of the subject, the feedback signals comprising the electrical data obtained from the DBS, identifying a phase angle of the feedback signals associated with a maximum amplification of oscillations with center frequency Fc, and stimulating the subcortical structure of the brain of the subject at the identified phase angle using at least one electrode of the DBS. 10. The method of claim 9 wherein receiving the feedback signals obtained from the brain of the subject further comprises: removing electrical stimulation artifacts from the feedback signals. 11. The method of claim 9 , wherein receiving the feedback signals obtained from the brain of the subject further comprises: receiving the feedback signals from at least one of: a scalp electrode, an implanted electrocorticography (ECoG) array, a spinal cord lead, or an electromyography (EMG) electrode. 12. The method of claim 8 , further comprising: changing the center frequency Fc using an outer loop scheduler of the DBS to generate an updated patterned stimulation, the updated patterned stimulation designed to stimulate the subcortical structure of the brain of the subject to enter at least one of a REM sleep stage or the NREM sleep stage, and wherein stimulating the subcortical structure of the brain of the subject further comprises: stimulating the subcortical structure of the brain of the subject by applying the updated patterned stimulation to the subcortical structure. 13. The method of claim 12 , further comprising: receiving feedback signals obtained from the brain of the subject, the feedback signals comprising the electrical data obtained from the DBS, analyzing the feedback signals to determine that the brain of the subject has been in at least one of the REM sleep stage or the NREM sleep stages for a target period of time, and wherein changing the center frequency Fc further comprises: changing the center frequency Fc based on analyzing the feedback signals to determine that the brain of the subject has been in at least one of the REM sleep stage or the NREM sleep stage for the target period of time. 14. A deep brain stimulation (DBS) system, comprising: a controller including a processor and instructions that, when executed by the processor, configure the DBS system to: receive electrical data obtained from a DBS implanted in a subcortical structure including a globus pallidus of a brain of a subject; determine that the subject is in an awake state based on analyzing the electrical data from the subcortical structure based on first phase amplitude coupling (PAC) data from the globus pallidus; determine that the subject is in an NREM sleep stage based on analyzing the electrical data from the DBS implanted in the subcortical structure to identify second PAC data which is reduced compared to the first PAC data from the awake state and at least one of a K complex or a spindle; and adjust therapeutic stimulation of the DBS to at least one of induce sleep or awaken the subject based on determining that the subject is in the NREM sleep stage. 15. The system of claim 14 , wherein the controller is further configured to: receive further electrical data obtained from the subcortical structure of the brain of the subject, determine that the subject is no longer in the NREM sleep stage based on analyzing the further electrical data, and resume the therapeutic stimulation of the DBS based on determining that the subject is no longer in the NREM sleep stage. 16. The system of claim 14 , wherein the electrical data comprises a plurality of frequency bands, and wherein the controller, when determining that the subject is in the NREM sleep stage, is further configured to: determine that the subject is in the NREM

Assignees

Inventors

Classifications

  • Invasive · CPC title

  • for electroencephalography [EEG] · CPC title

  • Electromyography [EMG] · CPC title

  • Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

  • Sleep evaluation (A61B5/4821 takes precedence; devices for inducing sleep A61M21/02) · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10786676B2 cover?
Described here is a deep brain stimulation (“DBS”) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS d…
Who is the assignee on this patent?
Univ Minnesota
What technology area does this patent fall under?
Primary CPC classification A61N1/36139. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Sep 29 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).