Methods for physiological monitoring, training, exercise and regulation

• US 20020103429A1
• Filed: 01/30/2002
• Published: 08/01/2002
• Est. Priority Date: 01/30/2001
• Status: Abandoned Application

• Current Assignee: Decharms R. Christopher
• Original Assignee: Decharms R. Christopher
• Inventors: deCharms, R. Christopher
• Application Number:
  US10/066,004
• Publication Number:
  US 20020103429A1
• Time in Patent Office: Days
• US Class Current: 600/410
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61B 5/7425 Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image geometric transforms for image registration G06T3/14; enhancement using image fusion G06T5/50; algorithms for registration of images G06T7/30
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 8/0808 for diagnosis of the brain
• CPC Class Codes: A61B 8/543 involving acquisition triggered by a physiological signal

Abstract

A computer assisted method comprising: measuring activity of one or more internal voxels of a brain; employing computer executable logic that takes the measured brain activity and determines one or more members of the group consisting of: a) what next stimulus to communicate to the subject, b) what next behavior to instruct the subject to perform, c) when a subject is to be exposed to a next stimulus, d) when the subject is to perform a next behavior, e) one or more activity metrics computed from the measured activity, f) a spatial pattern computed from the measured activity, g) a location of a region of interest computed from the measured activity, h) performance targets that a subject is to achieve computed from the measured activity, i) a performance measure of a subject'"'"'s success computed from the measured activity, j) a subject'"'"'s position relative to an activity measurement instrument; and communicating information based on the determinations to the subject in substantially real time relative to when the activity is measured.

Claims

1. A computer assisted method comprising:

measuring activity of one or more internal voxels of a brain;

employing computer executable logic that takes the measured brain activity and determines one or more members of the group consisting of;

a) what next stimulus to communicate to the subject, b) what next behavior to instruct the subject to perform, c) when a subject is to be exposed to a next stimulus, d) when the subject is to perform a next behavior, e) one or more activity metrics computed from the measured activity, f) a spatial pattern computed from the measured activity, g) a location of a region of interest computed from the measured activity, h) performance targets that a subject is to achieve computed from the measured activity, i) a performance measure of a subject'"'"'s success computed from the measured activity, j) a subject'"'"'s position relative to an activity measurement instrument; and

communicating information based on the determinations to the subject in substantially real time relative to when the activity is measured.

2. A method according to claim 1 wherein measuring brain activity is performed by fMRI.

3. A method according to claim 1 wherein the determinations are made in less than 10 seconds relative to when the activity is measured.

4. A method according to claim 1 wherein the determinations are made in less than 1 second relative to when the activity is measured.

5. A method according to claim 1 wherein the determinations are made in less than 0.5 second relative to when the activity is measured.

6. A method according to claim 1 wherein the information is determined while the instrument used for measurement remains positioned about the subject.

7. A method according to claim 1 wherein the activity measurements are made using an apparatus capable of taking measurements from one or more internal voxels without substantial contamination of the measurements by activity from regions intervening between the internal voxels being measured and where the measurement apparatus collects the data.

8. A method according to claim 1 wherein measurements are made from at least 100 separate internal voxels, and these measurements are made at a rate of at least once every five seconds.

9. A method according to claim 1 wherein measurements are made from a set of separate internal voxels corresponding to a scan volume including the entire brain.

10. A method according to claim 1 wherein the size of the internal voxels have a total three dimensional volume of 5×

5×

5 cm or less.

11. A method according to claim 1 wherein the size of the internal voxels have a total three dimensional volume of 1×

1×

1 cm or less.

12. A method according to claim 1 wherein the method further comprises selecting one or more of the internal voxels to correspond to a region of interest for the subject and using the selected internal voxels of the region of interest to make the one or more determinations.

13. A method according to claim 12 wherein the region of interest is selected from the group consisting of the regions listed in FIG. 14, including the substantia nigra, subthalamic nucleus, nucleus accumbens, locus coeruleus, periaqueductal gray matter, nucleus raphe dorsalis, nucleus basalis of Meynert, dorsolateral pre-frontal cortex, anterior pre-frontal cortex.

14. A method according to claim 12 wherein the region of interest has a primary function of releasing a neuromodulatory substance, where the neuromodulatory substance is selected from the group consisting of:

dopamine, acetyl choline, noradrenaline, serotonin, an endogenous opiate.

15. A method according to claim 12 wherein the subject has one or more of the following conditions:

Parkinson'"'"'s disease, Alzheimer'"'"'s disease, attention &

attention deficit disorder, depression, substance abuse &

addiction, schizophrenia.

16. A method according to claim 1 wherein the information is communicated by a manner selected from the group consisting of providing audio to the subject, providing tactile stimuli to the subject, providing a smell to the subject, displaying an image to the subject.

17. A method according to claim 1 wherein the information communicated is an instruction to the subject.

18. A method according to claim 17 wherein the instruction is a text or iconic indication denoting an action that a subject is to perform.

19. A method according to claim 17 wherein the instruction identifies a task to be performed by t he subject.

20. A method according to claim 17 wherein the instruction is determined by computer executable logic.

21. A method according to claim 20 wherein the instruction communicated is selected from a set of instructions stored in memory, the selection being based upon the brain activity measured.

22. A method according to claim 1 wherein some of the information communicated to the subject is material to be learned.

24. Software according to claim 23 wherein the software performs the determinations in less than 10 seconds relative to when the brain activity measurement is taken.

26. A method according to claim 25 wherein measuring brain activity is performed by fMRI.

27. A method according to claim 25 wherein measurements are made from at least 100 separate voxels.

28. A method according to claim 25 wherein the instructions are derived through a computer executable logic process of selecting from a set of possible instructions based upon the brain activity measured.

29. A method according to claim 29, wherein computer executable logic is emplyed to cause the information to be communicated to the subject.

23. Computer executable software for guiding brain activity training comprising:

logic which takes data corresponding to activity measurements of one or more internal voxels of a brain and determines one or more members of the group consisting of;

a) what next stimulus to communicate to the subject, b) what next behavior to instruct the subject to perform, c) when a subject is to be exposed to a next stimulus, d) when the subject is to perform a next behavior, e) one or more activity metrics computed from the measured activity, f) a spatial pattern computed from the measured activity, g) a location of a region of interest computed from the measured activity, h) performance targets that a subject is to achieve computed from the measured activity, i) a performance measure of a subject'"'"'s success computed from the measured activity, j) a subject'"'"'s position relative to an activity measurement instrument; and

logic for communicating information based on the determinations to the subject in substantially real time relative to when the activity is measured.

25. A method comprising:

(a) measuring activity of one or more internal voxels of a brain;

(b) communicating instructions to a subject derived from that measured activity in substantially real time relative to when the behavior is performed; and

(c) having the subject perform a behavior in response to receiving the instructions.

31. Computer executable software, the software comprising:

logic for taking activity measurements of one or more localized brain regions as a behavior is performed; and

logic for communicating information to the subject based on the measured brain activity in substantially real time relative to when the behavior is performed;

wherein the logic takes new activity measurements as they are received and communicates new information based on the new activity measurements.