System and method for identifying a focal area of abnormal network interactions in the brain

Patent metadata

Field	Value
Publication number	US-9730628-B2
Application number	US-201414203742-A
Country	US
Kind code	B2
Filing date	Mar 11, 2014
Priority date	Mar 12, 2013
Publication date	Aug 15, 2017
Grant date	Aug 15, 2017

Abstract

One aspect of the present disclosure relates to a system that can identify a focal area of abnormal brain interactions in a subject. Time series data can be received that corresponds to recordings from a plurality of regions in a brain of the subject during a resting period. Based on the time series data, an information inflow associated with each of the plurality of regions can be determined. The focal area of the abnormal brain interactions can be identified as one of the plurality of regions having a maximum information inflow.

First claim

What is claimed is:

1. A system that identifies a focal area of abnormal brain interactions in a subject, the system comprising:
a non-transitory memory storing computer-executable instructions; and
a processor that executes the computer-executable instructions to at least:
receive recordings comprising time series data from a plurality of regions in a brain of the subject recorded during a resting period, wherein the resting period comprises a period of time between instances of abnormal brain interactions during which the subject is free of abnormal behavioral symptoms;
fit the time series data to a three-dimensional image of the brain of the subject to identify a plurality of possible sources within the plurality of regions of the brain;
determine an information inflow associated with each of the plurality of possible sources based on the time series data, wherein the information inflow reflects a flow of information to each of the plurality of possible sources from at least one other brain region;
identify the focal area of the abnormal brain interactions as one of the plurality of possible sources having a maximum information inflow; and
develop a treatment plan for the abnormal brain interactions in the subject based on the identified focal area.

2. The system of claim 1 , wherein the processor executes the computer-executable instructions to determine the information inflow to each possible source by:
dividing the time series data into a plurality of time epochs;
for each possible source over each epoch:
determining a direct linear influence of other regions on the possible source over a corresponding frequency range; and
determining a value of information inflow to the possible source based on the corresponding directional information inflow and the time series data.

3. The system of claim 2 , wherein the processor executes the computer-executable instructions to identify the focal area of the abnormal brain interactions by:
for each epoch, comparing the value of the information inflow of each of the possible sources to determine a possible source exhibiting a maximum inflow value during the epoch; and
determining the possible source most frequently exhibiting the maximum information inflow value and identifying this possible source as the focal area of abnormal brain interactions.

4. The system of claim 3 , wherein the comparison step is based on a statistical outlier detection test.

5. The system of claim 2 , wherein the direct linear influence is determined according to an estimation of interactions between each of the plurality of possible sources.

6. The system of claim 2 , wherein the direct linear influence is used to determine a network connectivity between the plurality of possible sources that contributes to the determination of the value of the information inflow to each of the plurality of possible sources.

7. The system of claim 1 , wherein the focal area of abnormal brain interactions is associated with at least one of an epileptic seizure, a paroxysmal neurological disorder, a stroke, an autism spectrum disorder, a psychological disorder, a traumatic brain injury, an obesity disorder, an apnea disorder, a condition comprising a lack of awareness, and a neurodegenerative disease.

8. The system of claim 1 , wherein the time series data comprises at least one of electroencephalogram data, magnetoencephlogram data, thermal imaging data, and functional magnetic resonance imaging data.

9. A method for identifying a focal area of abnormal brain interactions in a subject, the method comprising the steps of:
receiving, by a system comprising a processor, recordings comprising time series data from a plurality of regions in a brain of the subject recorded during a resting period, wherein the resting period comprises a period of time between instances of abnormal brain interactions during which the subject is free of abnormal behavioral symptoms;
fitting, by the system, the time series data to a three-dimensional image of the brain of the subject to identify a plurality of possible sources within the plurality of regions of the brain;
determining, by the system, an information inflow corresponding to each of the plurality of possible sources based on the time series data, wherein the information inflow reflects a flow of information to each of the plurality of possible sources from at least one other brain region;
comparing, by the system, the information inflow corresponding to each of the plurality of possible sources;
identifying, by the system, the focal area as one of the possible sources exhibiting a maximum information inflow; and
developing a treatment plan for the abnormal brain interactions in the subject based on the identified focal area.

10. The method of claim 9 , further comprising determining a statistical significance of the information inflows corresponding to each of the plurality of potential sources,
wherein the identifying is based on the information inflows determined to be statistically significant.

11. The method of claim 9 , wherein the treatment plan comprises at least one of a surgical plan, an infusion pump placement, and a stimulating electrode placement based on the identified focal area.

12. The method of claim 9 , wherein each of the potential sources corresponds to at least one of a position of a different recording electrode or a reconstructed source of brain activity.

13. The method of claim 9 , wherein the comparing step is based on a statistical test associated with a property of the information inflow.

14. The method of claim 9 , wherein the determining step further comprises:
determining a network connectivity between the plurality of potential sources; and
determining of the value of the information inflow to each of the plurality of potential sources based on the network connectivity.

15. A method for diagnosing a neurological disorder characterized by one or more focal areas of abnormal brain interactions in a subject, the method comprising the steps of:
receiving, by a system comprising a processor, recordings comprising time series data from a plurality of regions in the brain of the subject recorded during a resting period, wherein the resting period comprises a period of time between instances of abnormal brain interactions during which the subject is free of abnormal behavioral symptoms;
fitting, by the system, the time series data to a three-dimensional image of the brain of the subject to identify a plurality of possible sources within the plurality of regions of the brain;
determining, by the system, an information inflow corresponding to each of the plurality of possible sources based on the time series data, wherein the information inflow reflects a flow of information to each of the plurality of possible sources from at least one other brain region;
comparing, by the system, the information inflow associated with each of the plurality of possible sources to determine the presence of one or more focal areas exhibiting a maximum information inflow;
diagnosing, by the system, the neurological disorder based on the presence of one or more focal areas; and
developing, by the system, a treatment plan for the diagnosed neurological disorder based on the presence of one or more focal areas.

16. The method of claim 15 , further comprising the steps of:
constructing, by the system, a histogram of the information inflow associated with the plurality of potential sources; and
determining, by the system, the maximum information inflow based on the histogram.

17. The method of claim 15 ,

Assignees

• Cleveland Clinic Found
• Louisiana Tech Univ Res Found

Inventors

• Iasemidis Leonidas D
• Vlachos Ioannis
• Krishnan Balu
• Alexopoulos Andreas

Classifications

• A61B5/4076 Primary

  Diagnosing or monitoring particular conditions of the nervous system · CPC title

• A61B5/7271

  Specific aspects of physiological measurement analysis (specific diagnostics methods using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/16

  Devices for psychotechnics (using teaching or educational appliances G09B1/00 - G09B7/00); Testing reaction times {; Devices for evaluating the psychological state} · CPC title

• A61B5/4094

  Diagnosing or monitoring seizure diseases, e.g. epilepsy · CPC title

• A61B5/055

  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title