Markers for use in screening patients for nervous system dysfunction and a method and apparatus for using same

• US 5,632,276 A
• Filed: 01/27/1995
• Issued: 05/27/1997
• Est. Priority Date: 01/27/1995
• Status: Expired due to Term

• Current Assignee: David Eidelberg, James R. Moeller
• Original Assignee: David Eidelberg, James R. Moeller
• Inventors: Moeller, James R., Eidelberg, David
• Primary Examiner(s): Lateef, Marvin M.
• Assistant Examiner(s): Casler, Brian L.
• Application Number:
  US08/379,056
• Time in Patent Office: 851 Days
• Field of Search: 128/653.1, 364/413.13, 364/413.02, 364/413.15
• US Class Current: 600/414
• CPC Class Codes: A61B 6/037 Emission tomography
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method and apparatus for screening patients for nervous system dysfunction including neurological capacity and dysfunction. A patient profile of actual functional activity of a brain of a patient is produced and compared with at least one marker. The marker is a profile of predetermined functional activity at a plurality of sets of predetermined coordinates of a given brain geometry.

Claims

1. A method for screening patients for nervous system dysfunction, comprising the steps of:

producing a patient profile of actual functional activity of a brain of a patient; and

comparing the patient profile with at least one marker comprising a profile of predetermined functional activity at a plurality of sets of predetermined coordinates of a given brain geometry.

2. The method according to claim 1, wherein the step of comparing comprises comparing the patient profile with a plurality of markers for different nervous system dysfunctions.

3. The method according to claim 2, wherein the plurality of markers are for nervous system dysfunctions selected from Parkinson'"'"'s disease, Alzheimer'"'"'s disease, torsion dystonia, cerebellar degeneration, depression, premature aging and neurological AIDS.

4. The method according to claim 1, wherein the step of producing a patient profile comprises calculating numerical values of functional activity of a plurality of regions of interest of the brain of the patient corresponding to the plurality of sets of predetermined coordinates of the given brain geometry.

5. The method according to claim 4, wherein the step of calculating comprises producing a single numerical value for each region of interest.

6. An apparatus for determining the presence or severity of nervous system dysfunction in a patient, comprising:

a memory storing at least one marker for a nervous system dysfunction, the at least one marker comprising a profile of predetermined functional activity at a plurality of sets of predetermined coordinates of a given brain geometry;

a pre-processor receptive of data corresponding to functional activity of a brain of a patient for producing a patient profile of functional activity for each of a plurality of regions of interest of the patient'"'"'s brain corresponding to the plurality of sets of predetermined coordinates of the given brain geometry;

a processor for cross-correlating the patient profile with the at least one marker; and

a post-processor for determining at least one of a presence and severity of the nervous system dysfunction as a function of a degree of covariance for the cross-correlation.

7. The apparatus according to claim 6, further comprising a scanner for scanning the patient'"'"'s brain to produce the data applied to the pre-processor.

8. The apparatus according to claim 7, wherein the scanner comprises one of a PET scanner, a SPECT scanner and a functional MRI scanner.

9. The apparatus according to claim 7, wherein the scanner is remote from the pre-processor and further comprising data communication circuitry for transmitting data from the scanner to the pre-processor.

10. The apparatus according to claim 6, wherein the pre-processor comprises a spatial filter for filtering the data.

11. The apparatus according to claim 10, wherein the pre-processor further comprises a circuit for performing a log transform on the filtered data.

12. The apparatus according to claim 6, wherein the post-processor comprises circuitry for rescaling the degree of covariance to produce a patient marker score.

13. The apparatus according to claim 12, wherein the post-processor further comprises circuitry for comparing the patient marker score with a previous patient marker score for the patient to determine the severity of the dysfunction.

14. The apparatus according to claim 6, comprising a plurality of markers stored in memory and wherein the processor cross-correlates the patient profile with the plurality of markers.

15. The apparatus according to claim 14, wherein the plurality of markers are for nervous system dysfunctions selected from the group comprising Alzheimer'"'"'s disease, torsion dystonia, cerebellar degeneration, Parkinson'"'"'s disease, neurological AIDS, depression and premature aging.

16. A method for determining at least one of a presence and severity of nervous system dysfunction in a patient, comprising the steps of providing at least one marker for a nervous system dysfunction, the at least one marker comprising a profile of predetermined functional activity at a plurality of sets of predetermined coordinates of a given brain geometry;

producing a patient profile of functional activity for each of a plurality of regions of interest of a patient'"'"'s brain corresponding to the plurality of sets of predetermined coordinates of the given brain geometry;

cross-correlating the patient profile with the at least one marker; and

determining at least one of a presence and severity of the nervous system dysfunction as a function of a degree of covariance for the cross-correlation.

17. The method according to claim 16, further comprising scanning the patient'"'"'s brain to produce data for producing the patient profile.

18. The method according to claim 17, wherein the scanning comprises one of PET scanning, SPECT scanning and functional MRI scanning.

19. The method according to claim 17, wherein the step of producing the patient profile comprises spatially filtering the data.

20. The method according to claim 19, wherein the step of producing the patent profile further comprises performing a log transform on the filtered data.

21. The method according to claim 17, wherein the scanning is performed remotely from the production of the patient profile and further comprising transmitting data from a scanner.

22. The method according to claim 16, wherein the step of determining at least one of a presence and severity of the dysfunction comprises rescaling the degree of covariance to produce a patient score for the at least one marker.

23. The method according to claim 22, wherein the step of determining at least one of a presence and severity of the dysfunction further comprises comparing the patient score for the at least one marker with a previous patient score for that marker.

24. The method according to claim 22, wherein the step of determining the presence or severity of a given nervous system dysfunction further comprises comparing the patient score with a distribution of patient scores of a patient population having the given nervous system dysfunction, a distribution of patient scores of a patient population having a different nervous system dysfunction and a distribution of patient scores of a patient population not having the given nervous system dysfunction.

25. The method according to claim 16, comprising providing a plurality of markers and wherein the step of cross-correlating the patient profile comprises cross-correlating with the plurality of markers.

26. The method according to claim 25, wherein the plurality of markers are for nervous system dysfunctions selected from the group comprising Alzheimer'"'"'s disease, torsion dystonia, cerebellar degeneration, Parkinson'"'"'s disease, neurological AIDS, depression and premature aging.