Brain stimulation tool configuration

1. A method of configuring a local brain stimulation tool, the method comprising:

obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of a subject, each of said BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency;

comparing said BNA patterns; and

configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on said comparison,

wherein the method further comprises configuring said tool to apply said local brain stimulation at a location selected based on said comparison, wherein said comparison is node-wise, and wherein said selected location corresponds to a node that exists in said reference and missing in said BNA pattern describing said neurophysiological state of the subject.

2. The method of claim 1 , further comprising configuring said tool to apply said local brain stimulation at a time or synchronization selected based on said comparison.

3. The method according to claim 1 , further comprising correcting said location using a technique selected from the group consisting of a source localization procedure, Cortical Potential Imaging (CPI), and Cortical Source Density (CSD).

4. The method of claim 1 , further comprising operating said local brain stimulation tool to apply said local brain stimulation to the subject thereby to treat a brain disorder thereof, wherein both a frequency and a location of said stimulation is selected based on said comparison.

5. The method according to claim 4 , wherein said local brain stimulation tool is operated to apply said local brain stimulation at a time selected based on said comparison.

6. The method according to claim 4 , wherein said local brain stimulation tool is operated to apply local brain stimulation at a plurality of different brain locations and a plurality of different frequencies.

7. The method according to claim 4 , wherein said local brain stimulation tool is operated to apply local brain stimulation at a plurality of different brain locations and a plurality of different times.

8. The method according to claim 4 , wherein said local brain stimulation tool is operated to apply said local brain stimulation at a plurality of different brain locations, a plurality of different frequencies and a plurality of different times.

9. The method according to claim 4 , wherein said local brain stimulation tool is operated to apply said local brain stimulation at a plurality of different brain locations, at a same frequency but at a plurality of different times.

10. The method according to claim 1 , wherein said comparison is node-wise, wherein said selected location corresponds to a node that exists in both said BNA patterns, and wherein said selected frequency exists in said node of said reference BNA and is missing or suppressed in said BNA pattern describing said neurophysiological state of the subject.

11. The method according to claim 1 , further comprising obtaining a post-stimulation BNA pattern describing a neurophysiological state of the subject following said stimulation, comparing said post-stimulation BNA pattern with said BNA pattern describing said neurophysiological state before said stimulation, and assessing an effect of said stimulation based on said comparison.

12. The method according to claim 1 , wherein at least one node of said BNA patterns defines a capsule representing a spatiotemporal activity region in the brain.

13. The method according to claim 1 , further comprising constructing at least one of said BNA patterns.

14. The method according to claim 13 , wherein said constructing said at least one of said BNA patterns comprises:

receiving neurophysiological data;

identifying activity-related features in the data; and

defining at least a portion of said activity-related features as nodes of said BNA pattern.

15. The method according to claim 13 , wherein said constructing said at least one of said BNA patterns comprises:

receiving neurophysiological data;

identifying activity-related features in said data;

parceling the data according to said activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; and

defining at least a portion of said capsules as nodes of said BNA pattern.

16. The method according to claim 15 , further comprising determining inter-capsule relations among said capsules, and defining connectivity weights between said nodes of said BNA pattern using said inter-capsule relations.

17. The method according to claim 13 , wherein said constructing said at least one of said BNA patterns comprises:

receiving neurophysiological data;

identifying activity-related features in said data;

parceling the data according to said activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain;

clustering the data according to said capsules, to provide a plurality of capsule clusters; and

defining at least a portion of said capsule clusters and/or representations thereof as nodes of said BNA pattern.

18. The method according to claim 17 , wherein said representations of said clusters comprises capsular representations of said clusters.

19. The method according to claim 1 , wherein the local stimulation tool comprises at least one of a non-invasive stimulation tool, a transcranial stimulation tool, a transcranial electrical stimulation tool, a transcranial magnetic stimulation tool, a repetitive Transcranial Magnetic Stimulation (rTMS) tool, a deep Transcranial magnetic stimulation (dTMS) tool, a multichannel TMS and multichannel (dTMS) tool, a transcranial electrical stimulations (tES) tool, a Transcranial direct current stimulation (tDCS) tool, a Transcranial alternate current stimulation (tACS) tool, a Transcranial random noise stimulation (tRNS) tool, a High definition tES (HD-tES) tool, a High definition tDCS (HD-tDCS) tool, a multichannel tES tool, a focused ultrasound stimulation (FUS) tool, an electroconvulsive therapy (ECT) tool, an invasive stimulation tool, a Deep brain stimulation (DBS) tool, a multifocal deep brain stimulation tool, a laser stimulation tool, and an electrocortical stimulation tool configured to apply electrocortical stimulation on a cortex.

20. The method according to claim 1 , wherein said brain stimulation tool is configured to apply both transcranial stimulation and deep brain stimulation, and wherein the method controls the brain stimulation tool to apply the transcranial stimulation to control activation thresholds for the deep brain stimulation.

21. A system for treating a subject, the system comprises:

(a) a data processing system configured for:

obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of said BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency; and

comparing said BNA patterns; and

(b) a controller connectable to a brain stimulation tool and configured for controlling said brain stimulation tool to apply local brain stimulation at a location and a frequency selected based on said comparison, wherein said comparison is node-wise, and wherein said selected location corresponding to a node that exists in said reference and missing in said BNA pattern describing said neurophysiological state of the subject.

22. A method of configuring a local brain stimulation tool, the method comprising:

obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of a subject, each of said BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency;

comparing said BNA patterns; and

configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on said comparison,

wherein the method further comprises configuring said tool to apply said local brain stimulation at a location selected based on said comparison, wherein said comparison is node-wise, wherein said selected location corresponds to a node that exists in both said BNA patterns, and wherein said selected frequency exists in said node of said reference BNA and is missing or suppressed in said BNA pattern describing said neurophysiological state of the subject.

23. A method of configuring a local brain stimulation tool, the method comprising:

obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of a subject, each of said BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency;

comparing said BNA patterns; and

configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on said comparison;

wherein the method further comprises constructing at least one of said BNA patterns, said constructing said at least one of said BNA patterns comprising:

receiving neurophysiological data;

identifying activity-related features in said data;

parceling the data according to said activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain;

clustering the data according to said capsules, to provide a plurality of capsule clusters; and

defining at least a portion of said capsule clusters and/or representations thereof as nodes of said BNA pattern.

24. A method of configuring a local brain stimulation tool, the method comprising:

obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of a subject, each of said BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency;

comparing said BNA patterns; and

configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on said comparison;

wherein the method further comprises constructing at least one of said BNA patterns, said constructing said at least one of said BNA patterns comprising:

receiving neurophysiological data;

identifying activity-related features in said data;

parceling the data according to said activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; and

defining at least a portion of said capsules as nodes of said BNA pattern;

wherein the method additionally comprises determining inter-capsule relations among said capsules, and defining connectivity weights between said nodes of said BNA pattern using said inter-capsule relations.