Mapping transcranial signals to transcranial stimulation required to reproduce a brain state

1. A system for computing a transcranial stimulation montage, the system comprising:

one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations of:

mapping externally sensed brain activity data representing a first brain state to voxels of brain volume;

mapping externally sensed brain activity data representing a second brain state to voxels of brain volume;

translating a brain activity change from the second brain state to the first brain state in each relevant voxel of the brain into a necessary electrical field based on diffusion tensor imaging (DTI) data,

wherein the DTI imaging data provides an average white matter tract orientation in each relevant voxel, and wherein the translated brain activity change in each relevant voxel is translated into the necessary electrical field by aligning to the average white matter tract orientation in each relevant voxel;

computing an electrical stimulation montage from the translated brain activity change; and

controlling application of the electrical stimulation montage by transcranial stimulation electrodes to transform the second brain state into the first brain state, the electrical stimulation montage including the necessary electrical field.

2. The system as set forth in claim 1 , wherein the amount of current that is applied along an axis of neurons in the particular voxel is proportional to the amount of brain activity change.

3. The system as set forth in claim 2 , wherein G is a gain factor that is held constant during application of the electrical stimulation montage and ΔS is the brain activity change, and the amount of current that is applied along an axis of neurons in the particular voxel is

I

=

Δ

⁢

⁢

S

G

.

4. The system as set forth in claim 1 , wherein the one or more processors further perform operations of:

measuring changes in brain activity after application of the electrical stimulation montage; and

using the set of measured changes in brain activity, adjusting a gain factor G for induced currents to affect brain activity change in each voxel.

5. The system as set forth in claim 4 , wherein gain factors G in each voxel are scaled by the cosine of an angle between a dominant white matter tract orientation and an induced electric field.

6. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of creating a model of the brain activity representing the first brain state in relevant voxels of the brain.

7. A computer program product for computing a transcranial stimulation montage, the computer program product comprising:

a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of:

mapping externally sensed brain activity data representing a first brain state to voxels of brain volume;

mapping externally sensed brain activity data representing a second brain state to voxels of brain volume;

translating a brain activity change from the second brain state to the first brain state in each relevant voxel of the brain into a necessary electrical field using based on diffusion tensor imaging (DTI) data,

wherein the DTI imaging data provides an average white matter tract orientation in each relevant voxel, and wherein the translated brain activity change in each relevant voxel is translated into the necessary electrical field by aligning to the average white matter tract orientation in each relevant voxel;

computing an electrical stimulation montage from the translated brain activity change; and

controlling application of the electrical stimulation montage by transcranial stimulation electrodes to transform the second brain state into the first brain state, the electrical stimulation montage including the necessary electrical field.

8. The computer program product as set forth in claim 7 , wherein the amount of current that is applied along an axis of neurons in the particular voxel is proportional to the amount of brain activity change.

9. The computer program product as set forth in claim 8 , wherein G is a gain factor that is held constant during application of the electrical stimulation montage and ΔS is the brain activity change, and the amount of current that is applied along an axis of neurons in the particular voxel is

I

=

Δ

⁢

⁢

S

G

.

10. The computer program product as set forth in claim 7 , further comprising instructions for causing the one or more processors to further perform operations of:

measuring changes in brain activity after application of the electrical stimulation montage; and

using the set of measured changes in brain activity, adjusting a gain factor G for induced currents to affect brain activity change in each voxel.

11. The computer program product as set forth in claim 10 , wherein gain factors G in each voxel are scaled by the cosine of an angle between a dominant white matter tract orientation and an induced electric field.

12. The computer program product as set forth in claim 7 , further comprising instructions for causing the one or more processors to further perform an operation of creating a model of the brain activity representing the first brain state in relevant voxels of the brain.

13. A computer implemented method for computing a transcranial stimulation montage, the method comprising an act of:

causing one or more processers to execute instructions encoded on a non-transitory computer-readable medium, such that upon execution, the one or more processors perform operations of:

mapping externally sensed brain activity data representing a first brain state to voxels of brain volume;

mapping externally sensed brain activity data representing a second brain state to voxels of brain volume;

translating a brain activity change from the second brain state to the first brain state in each relevant voxel of the brain into a necessary electrical field based on diffusion tensor imaging (DTI) data,

wherein the DTI imaging data provides an average white matter tract orientation in each relevant voxel, and wherein the translated brain activity change in each relevant voxel is translated into the necessary electrical field by aligning to the average white matter tract orientation in each relevant voxel;

computing an electrical stimulation montage from the translated brain activity change; and

controlling application of the electrical stimulation montage by transcranial stimulation electrodes to transform the second brain state into the first brain state, the electrical stimulation montage including the necessary electrical field.

14. The method as set forth in claim 13 , wherein the amount of current that is applied along an axis of neurons in the particular voxel is proportional to the amount of brain activity change.

15. The method as set forth in claim 14 , wherein G is a gain factor that is held constant during application of the electrical stimulation montage and ΔS is the brain activity change, and the amount of current that is applied along an axis of neurons in the particular voxel is

I

=

Δ

⁢

⁢

S

G

.

16. The method as set forth in claim 13 , wherein the one or more processors further perform operations of:

measuring changes in brain activity after application of the electrical stimulation montage; and

using the set of measured changes in brain activity, adjusting a gain factor G for induced currents to affect brain activity change in each voxel.

17. The method as set forth in claim 16 , wherein gain factors G in each voxel are scaled by the cosine of an angle between a dominant white matter tract orientation and an induced electric field.

18. The method as set forth in claim 13 , wherein the one or more processors further perform an operation of creating a model of the brain activity representing the first brain state in relevant voxels of the brain.