Navigated transcranial magnetic stimulation planning using a structural effectiveness index
Described herein are methods including determining a structural effectiveness index (SEI) for a target area of a brain which accounts for the effectiveness of a Transcranial Magnetic Stimulation (TMS) pulse based on at least one neurological feature of the brain. An SEI may include an anisotropy index (AI). An AI may account for the effectiveness of a TMS pulse based at least on the local anisotropy of the target area. An SEI may include a connectivity index (CI). A CI may account for the effectiveness of a TMS pulse at a different location of the brain than a stimulated target area. Moreover, the CI can be based at least partially on white matter tract connections. The SEI of at least one area of a brain may be used in order to plan a minimum effective dose at that location based on the actual neurological structure there, e.g. the anisotropy or white matter tracts at that area.
1. A method of navigated Transcranial Magnetic Stimulation (nTMS) planning comprising the steps of:
determining a structural effectiveness index (SEI) for a target area of a brain which accounts for effectiveness of a Transcranial Magnetic Stimulation (TMS) pulse based on at least one neurological feature of the brain, the SEI being a function including a calculated anisotropy index (AI) representative of an anisotropy of a neuronal structure within the target area,
delivering an initial TMS pulse to the brain,
determining a base electric field amplitude and orientation for the brain based at least partially on the delivered initial TMS pulse, and
calculating an intended induced electric field for the target area of the brain based on the SEI for said target area and the base electric field amplitude and orientation.
2. The method of claim 1 , further comprising the step of:
determining pulse parameters for at least one coil winding of a TMS coil device such that the pulse parameters are capable of causing the TMS coil device to induce the intended induced electric field for the target area of the brain.
3. The method of claim 2 , wherein a pulse amplitude parameter is determined based on a magnitude of the SEI for the target area.
4. The method of claim 1 , wherein the SEI is a vector.
5. The method of claim 1 , wherein determining a base electric field amplitude and orientation for the brain includes determining a Motor Threshold (MT) for the brain with an orientation perpendicular to a sulcus.
6. The method of claim 1 , wherein determining a base electric field amplitude and orientation for the brain includes determining a theoretical optimum induced electric field for said target area of the brain without accounting for anisotropy of said area.
7. The method of claim 1 , wherein calculating the intended induced electric field for the target area of the brain includes modifying the amplitude of the base electric field amplitude based on the determined SEI.
8. The method of claim 1 , wherein calculating the intended induced electric field for the target area of the brain includes selecting an angle other than perpendicular to a brain topological feature.
9. The method of claim 1 , wherein the anisotropy index (AI) is directional.
10. The method of claim 9 , wherein the anisotropy index (AI) is represented with a principal vector.
11. The method of claim 1 , wherein the SEI function includes a consideration of the angle between the intended induced electric field and a direction in which the anisotropy index is highest.
12. A non-transitory computer readable medium having stored thereon a set of computer implementable instructions for causing a processor to carry out a method of navigated Transcranial Magnetic Stimulation (nTMS) planning comprising the steps of:
determining a structural effectiveness index (SEI) for a target area of a brain which accounts for effectiveness of a Transcranial Magnetic Stimulation (TMS) pulse based on at least one neurological feature of the brain, the SEI being a function including a calculated anisotropy index (AI) representative of an anisotropy of a neuronal structure within the target area,
determining a base electric field amplitude and orientation for the brain, and
calculating an intended induced electric field for the target area of the brain based on the SEI for said target area and the base electric field amplitude and orientation.
13. The non-transitory computer readable medium of claim 12 , wherein the SEI includes a connectivity index (CI) which accounts for the effectiveness of a TMS pulse at a different location of the brain than a stimulated target area, and wherein the CI is based at least partially on white matter tract connections.
14. The non-transitory computer readable medium of claim 12 , wherein the method further comprises the steps of:
identifying a treatment region of the brain including said target area of the brain, wherein both the treatment region and target area of the brain share at least one function,
determining at least one additional SEI for at least one additional target area of the brain within said identified treatment region,
determining an optimal target area of the brain, within said identified treatment region of the brain based on the determined SEI for each target area, and
calculating an intended induced electric field vector for the optimal target area of the brain.
15. The non-transitory computer readable medium of claim 12 , wherein the method further comprises the step of:
calculating at least one position and orientation of a TMS coil device in relation to the brain capable of inducing said intended induced electric field vector for the target area of the brain.
16. The non-transitory computer readable medium of claim 12 , wherein the method further comprises the step of:
determining pulse parameters for at least one coil winding of a TMS coil device such that the pulse parameters are capable of causing the TMS coil device to induce the intended induced electric field vector for the target area of the brain.
17. The non-transitory computer readable medium of claim 16 , wherein a pulse amplitude parameter is determined based on a magnitude of the SEI for the target area.
18. The non-transitory computer readable medium of claim 12 , wherein calculating the AI includes calculating an AI from at least one of Diffusion Tensor Images (DTI) and Diffusional Kurtosis Imaging (DKI) of the brain.
19. The non-transitory computer readable medium of claim 12 , wherein calculating the AI is based on directions of bends of neuronal bundles within the target area.
20. The non-transitory computer readable medium of claim 12 , wherein calculating the AI is based on a known or average number of neuronal bundles within the target area.
21. The non-transitory computer readable medium of claim 12 , wherein the SEI includes a Connectivity Index (CI), and wherein the method further comprises the step of determining the CI for a target area of the brain, which is based on tractography.
22. The non-transitory computer readable medium of claim 12 , wherein determining the SEI for a target area of the brain includes determining an SEI for a first area of the brain and using that determined SEI for a second target area of the brain, or based on a known or assumed neural characteristic of the second area, which is different from a corresponding neural characteristic of the first area, modifying the SEI for the first target area of the brain to fit the second target area of the brain.
23. The non-transitory computer readable medium of claim 12 , wherein calculating the AI includes:
calculating or estimating an anisotropy of said area of the brain,
identifying a different target area of the brain,
calculating an AI for said different target area of the brain, and
using said calculated AI for said different target of the brain as the AI representative of the anisotropy of the neuronal structure within the target area.
24. The non-transitory computer readable medium of claim 12 , wherein determining a base electric field amplitude and orientation for the brain includes determining a Motor Threshold (MT) for the brain.
25. A navigated Transcranial Magnetic Stimulation (nTMS) system comprising a processor configured to determine a plan for nTMS including:
determining a structural effectiveness index (SEI) for a target area of a brain which accounts for effectiveness of a Transcranial Magnetic Stimulation (TMS) pulse based on at least one neurological feature of the brain, the SEI being a function including a calculated anisotropy index (AI) representative of an anisotropy of a neuronal structure within the target area,
determining a base electric field amplitude and orientation for the brain, and
calculating an intended induced electric field for the target area of the brain based on the SEI for said target area and the base electric field amplitude and orientation.