Method for analysis of ongoing and evoked neuro-electrical activity

• US 6,832,110 B2
• Filed: 09/05/2002
• Issued: 12/14/2004
• Est. Priority Date: 09/05/2001
• Status: Expired due to Fees

• Current Assignee: Craig Goodman, Haim Sohmer, Vladimir Rodionov
• Original Assignee: Craig Goodman, Haim Sohmer, Vladimir Rodionov
• Inventors: Goodman, Craig, Rodionov, Vladimir, Sohmer, Haim
• Primary Examiner(s): Nasser, Robert L.
• Application Number:
  US10/235,163
• Publication Number:
  US 20030073921A1
• Time in Patent Office: 831 Days
• Field of Search: 600/544-545
• US Class Current: 600/544
• CPC Class Codes: A61B 5/378 Visual stimuli
• CPC Class Codes: A61B 5/38 Acoustic or auditory stimuli
• CPC Class Codes: A61B 5/398 Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts

Abstract

A method of analyzing EEG and EP data in order to differentiate between ongoing neuro-electric activity of the brain of a subject and evoked neuro-electric activity of the brain of the subject, the analysis being based upon the frequency and the amplitude of deflections from the base line of the EEG and EP data, the method including a. recording by EEG measurement the ongoing neuro-electric activity; b. administering a series of sensory stimuli to the subject; c. recording by EEG and EP measurement neuro-electric activity evoked in response to the stimuli; d. marking the time of occurrence, polarity and amplitude of each of the deflections recorded; e. generating a histogram of time periods of the deflections for a defined duration prior to, during and subsequent to each of the single stimuli, the histogram reflecting the deflections within the time periods, generating a deflection time distribution based upon data from the histogram, generating an amplitude profile of the deflections, and f using the deflection time distribution and the amplitude profile to statistically analyze and evaluate the ongoing and evoked neuro-electric activity; such that the differentiation between the ongoing and the evoked neuro-electric activity may be quantified.

Claims

1. A method of analyzing EEG data in order to differentiate between ongoing neuro-electric activity of the brain of a subject and evoked neuro-electric activity of the brain of said subject, said analysis being based upon the time, polarity and amplitude distributions of deflections from the base line of said EEG and EP data, said method comprising

a. recording by EEG measurement said ongoing neuro-electric activity;

b. administering a series of sensory stimuli to said subject;

c. recording by EEG and EP measurement neuro-electric activity evoked in response to said stimuli;

d. marking the time of occurrence, polarity and amplitude of each of said deflections recorded;

e. generating a histogram of time periods of said deflections for a defined duration prior to, during and subsequent to each of said stimuli, said histogram reflecting the deflections within said time periods, generating a deflection time distribution based upon data from said histogram, generating an amplitude profile of said deflections; and

f. using said deflection time distribution and said amplitude profile to statistically analyze and evaluate the ongoing and evoked neuro-electric activity,

such that the differentiation between said ongoing neuro-electric activity and said evoked neuro-electric activity may be quantified.

2. The method of claim 1, wherein said method is modifiable to allow quantification of evoked neuro-electric activity of different frequencies and amplitudes.

3. The method of claim 1, further comprising identifying at least one of said stimuli evoking said neuro-electric activity.

4. The method of claim 1, further comprising analyzing at least one of said stimuli evoking said neuro-electric activity, and examining said evoked neuro-electric activity, said examination including one or more of the group consisting of the timing of said neuro-electric activity;

the variability of said neuro-electric activity; and

the correlation of said neuro-electric activity.

5. The method of claim 1, wherein said stimuli are sensory stimuli.

6. The method of claim 5, wherein said sensory stimuli are visual stimuli.

7. The method of claim 1, wherein said stimuli include performing an attention demanding task.

8. The method of claim 1, wherein said stimuli include engaging the memory process.

9. The method of claim 1, wherein said time periods range between 3 ms and 10 ms.

10. The method of claim 1, wherein said time period is 6 ms.

11. The method of claim 1, wherein said deflections are both positive and negative deflections.

12. The method of claim 1, wherein said method is actuatable and operatable by a computer.

13. The method of claim 1, including using the method to measure the effect of said stimuli on said subject compared to the effect of said stimuli on other subjects.

14. The method of claim 1, including using the method to measure the effect of said stimuli on said subject over a period of time.

15. The method of claim 1, including using the method to measure the effect of medicine on a response of said subject to said stimuli.

16. The method of claim 1, including using the method to measure the effectiveness of a remedial program on a response of said subject to said stimuli.

17. The method of claim 1, including using the method to measure the effect of fatigue on a response of said subject to said stimuli.

18. The method of claim 1, including using the method to measure the effect of injury or disease on a response of said subject to said stimuli.

19. The method of claim 1, including using the method to measure the effect of recovery from injury or disease on a response of said subject to said stimuli.