Brain navigation methods and device

1. A system for differential recording, comprising:

at least one deep brain stimulation (DBS) electrical lead having a longitudinal axis and a distal end and at least two macro-electrodes for measuring electrical signals and for delivery of DBS treatment;

a memory configured for storing a differential signal between said at least two macro-electrodes and reference indications of electrical signals associated with a neural tissue;

a processing circuitry, wherein said processing circuitry detects a border crossing between two brain regions by calculating a differential signal between electrical signals measured from a first macro-electrode of said at least two macro-electrodes and electrical signals measured from a second macro-electrode of said at least two macro-electrodes, and processing of said differential signal and said reference indications of electrical signals associated with said neural tissue, wherein said detecting of said border crossing by said processing circuitry comprises detecting that at least one macro-electrode of said at least two macro-electrodes has crossed a border into a brain region and that at least one macro-electrode of said at least two macro-electrodes is outside said brain region based on the results of said processing.

2. The system according to claim 1 , wherein said memory stores an algorithm comprising at least one of classifier and predictor, and wherein said processing circuitry performs an analysis of said stored differential signal using said algorithm and detects said border crossing of said at least one macro-electrode based on results of said analysis.

3. The system according to claim 1 , comprising at least one amplifier electrically connected to said at least one DBS electrical lead, wherein said at least one amplifier generates said differential signal.

4. The system according to claim 1 , wherein said processing circuitry detection of said border crossing comprises detecting that one macro-electrode of said at least two macro-electrodes or a distal end of said at least one DBS electrical lead has crossed a border into said brain region.

5. The system according to claim 1 , wherein said processing circuitry detection of said border crossing comprises estimation of proximity between a distal end of said at least one DBS electrical lead and a selected brain region.

6. The system according to claim 1 , wherein said processing circuitry detection of said border crossing comprises estimation of proximity between at least one of said at least two macro-electrodes and a border between brain regions.

7. The system according to claim 1 , wherein said electrical signals comprise local field potential (LFP) and said differential signal comprises differential LFP.

8. The system according to claim 1 , wherein said processing circuitry calculates at least one of root mean square (RMS), normalized RMS (NRMS) and power spectral density (PSD) values from said differential signal.

9. The system according to claim 1 , comprising:

an user-interface circuitry, wherein said processing circuitry signals said user-interface circuitry to generate a user-detectable signal when said border is crossed.

10. The system according to claim 1 , wherein said at least two macro-electrodes are axially separated for recording signals from specific directions and/or depths relative to a position of said at least one DBS electrical lead and along an insertion path of said at least one DBS electrical lead.

11. The system according to claim 1 , comprising a module for said processing of said differential signal, wherein said processing comprises generating said differential signal by said module by subtraction of a signal recorded by at least one macro-electrode of said at least two macro-electrodes from a signal recorded by at least one different macro-electrode of said at least two macro-electrodes.

12. The system according to claim 3 , wherein said at least one amplifier generates said differential signal by subtracting a signal recorded by a first macro-electrode of said at least two electrodes from a signal recorded by a second macro-electrode of said at least two macro-electrodes.

13. The system according to claim 1 , wherein said differential signal is recorded during the advancement of said DBS electrical lead through said neural tissue.

14. The system according to claim 1 , wherein said at least two macro-electrodes are circumferentially separated for recording signals from at least one specific direction perpendicular to said longitudinal axis of said at least one DBS electrical lead and along an insertion path of said at least one DBS electrical lead.

15. A method for navigating an electrical lead towards a brain region, comprising:

advancing a DBS electrical lead comprising at least two macro-electrodes axially separated on the DBS electrical lead through neural tissue;

recording electrical signals by said at least two macro-electrodes during said advancing;

calculating a differential signal between electrical signals recorded from a first macro-electrode of said at least two macro-electrodes and electrical signals recorded from a second macro-electrode of said at least two macro-electrodes;

processing said differential signal and stored reference indication associated with neural tissue;

detecting that at least one macro-electrode of said at least two macro-electrodes has crossed a border into a brain region, and that at least one macro-electrode is outside said brain region based on results of said processing.

16. The method according to claim 15 , wherein said recorded electrical signals are differential LFP signals.

17. The method according to claim 16 , comprising calculating RMS values and/or power spectral densities from said recorded electrical signals, and wherein said detecting comprises detecting that said at least one macro-electrode has crossed said border into said brain region and that said at least one macro-electrode is outside said brain region based on the results of said calculating.

18. The method according to claim 16 , comprising calculating beta-band power oscillations, and wherein said detecting comprises detecting that said at least one macro-electrode has crossed said border into said brain region and that said at least one macro-electrode is outside said brain region based on the results of said calculating.

19. The method according to claim 16 , comprising calculating power bands in a frequency range of 5-300 Hz, and wherein said detecting comprises detecting that said at least one macro-electrode has crossed said border into said brain region and that said at least one macro-electrode is outside said brain region based on the results of said calculating.

20. The method according to claim 16 , wherein said detecting comprises detecting that said at least one macro-electrode has crossed the STN ventral border, the STN dorsal border, a border between ventral and dorsal portion of the STN, or a border between the STN and the SNr.

21. The method according to claim 16 , wherein said detecting comprises detecting that said at least one macro-electrode has crossed a border between the striatum and the Gpe or a border between the Gpe and the Gpi.

22. The method according to claim 15 , wherein said detecting comprises detecting that a macro-electrode of said at least two macro-electrodes has crossed said border into said anatomical region, and that at least one macro-electrode of said at least two macro-electrodes is outside said anatomical region, based on the results of said processing.