Thinking cap: combining personalized, model-driven, and adaptive high definition trans-cranial stimulation (HD-tCS) with functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) brain state measurement and feedback

1. A system for mapping behavior to brain regions of interest, the system comprising:

one or more processors having associated memory with executable instructions encoded thereon such that when executed, the one or more processors perform operations of:

selecting, using a functional-anatomical model coupled to a cognitive-behavior model, a set of high-definition neurostimulations, wherein the selected set of high-definition neurostimulations targets specific regions of a brain;

sensing brain state data during application of the set of high-definition neurostimulations and performance of a selected behavioral task using at least one brain monitoring technique;

assessing a set of behavioral performance deficiencies;

associating the set of behavioral performance deficiencies with brain states in various brain regions;

analyzing brain activity with a neuroimaging device as a plurality of behavioral tasks are performed, wherein the performance is used to parameterize the cognitive-behavior model;

adapting the coupled functional-anatomical and cognitive-behavior models until desired brain state data are reached; and

causing a device to deliver neurostimulation by applying an electrical current to the brain to induce the desired brain state data.

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

implementing the cognitive-behavior model in a cognitive simulator;

using the cognitive-behavior model to predict performance for a plurality of related behavioral tasks;

using the cognitive-behavior model to generate a set of behavioral tasks; and

for each task in the set of behavioral tasks, searching for the desired brain state data.

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

associating, using the functional-anatomical model, brain regions for the desired brain state to specific physical locations; and

selecting, using the functional-anatomical model, the set of high-definition neurostimulations to be applied to reach the associated brain regions effectively to induce the desired brain state data.

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

assessing, using the cognitive-behavior model, changes in brain state as a selected behavioral task in the set of behavioral tasks is performed; and

outputting a new behavioral task in the set of behavioral tasks to be performed.

5. The system as set forth in claim 4 , wherein the one or more processors further perform an operation of identifying, using the cognitive-behavior model, specific regions of brain to be targeted with a selected set of high-definition neurostimulations during performance of the new behavioral task based on a previous brain state.

6. The system as set forth in claim 1 , wherein two brain monitoring techniques are used to sense changes in brain state, wherein the first brain monitoring technique is electoencephalography (EEG) to monitor brain activity in an anterior cingulate region of the brain, and wherein the second brain monitoring technique is functional near-infrared spectroscopy (fNIRS) to monitor brain activity in a prefrontal cortex region.

7. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of selecting, using a cognitive-behavior model, a behavioral task from a set of behavioral tasks that is suited for a desired brain state.

8. The system as set forth in claim 1 , wherein the one or more processors further perform an operation of applying a set of high-definition neurostimulations during performance of a selected behavioral task.

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

implementing the cognitive-behavior model in a cognitive simulator; and

using the cognitive-behavior model to predict performance for a plurality of related behavioral tasks.

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

using the cognitive-behavior model to generate a set of behavioral tasks; and

for each task in the set of behavioral tasks, searching for the desired brain state data.

11. A computer program product for mapping behavior to brain regions of interest, the computer program product comprising:

computer-readable instructions stored on a non-transitory computer-readable medium that are executable by a computer having one or more processors for causing the one or more processors to perform operations of:

selecting, using a functional-anatomical model coupled to a cognitive-behavior model, a set of high-definition neurostimulations, wherein the selected set of high-definition neurostimulations targets specific regions of a brain;

sensing brain state data during application of the set of high-definition neurostimulations and performance of a selected behavioral task using at least one brain monitoring technique;

assessing a set of behavioral performance deficiencies;

associating the set of behavioral performance deficiencies with brain states in various brain regions;

analyzing brain activity with a neuroimaging device as a plurality of behavioral tasks are performed, wherein the performance is used to parameterize the cognitive-behavior model;

adapting the coupled functional-anatomical and cognitive-behavior models until desired brain state data are reached; and

causing a device to deliver neurostimulation by applying an electrical current to the brain to induce the desired brain state data.

12. The computer program product as set forth in claim 11 , further comprising instructions for causing the one or more processors to perform operations of:

implementing the cognitive-behavior model in a cognitive simulator;

using the cognitive-behavior model to predict performance for a plurality of related behavioral tasks;

using the cognitive-behavior model to generate a set of behavioral tasks; and

for each task in the set of behavioral tasks, searching for the desired brain state data.

13. The computer program product as set forth in claim 12 , further comprising instructions for causing the one or more processors to perform operations of:

associating, using the functional-anatomical model, brain regions for the desired brain state to specific physical locations; and

selecting, using the functional-anatomical model, the set of high-definition neurostimulations to be applied to reach the associated brain regions effectively to induce the desired brain state data.

14. The computer program product as set forth in claim 13 , further comprising instructions for causing the one or more processors to perform operations of:

assessing, using the cognitive-behavior model, changes in brain state as a selected behavioral task in the set of behavioral tasks is performed; and

outputting a new behavioral task in the set of behavioral tasks to be performed.

15. The computer program product as set forth in claim 14 , further comprising instructions for causing the one or more processors to perform an operation of identifying, using the cognitive-behavior model, specific regions of brain to be targeted with a selected set of high-definition neurostimulations during performance of the new behavioral task based on a previous brain state.

16. The computer program product as set forth in claim 15 , wherein two brain monitoring techniques are used to sense changes in brain state, wherein the first brain monitoring technique is electoencephalography (EEG) to monitor brain activity in an anterior cingulate region of the brain, and wherein the second brain monitoring technique is functional near-infrared spectroscopy (fNIRS) to monitor brain activity in a prefrontal cortex region.

17. A system for mapping behavior to brain regions of interest, the system comprising:

one or more processors having associated memory with executable instructions encoded thereon such that when executed, the one or more processors perform operations of:

assessing a set of behavioral performance deficiencies;

associating the set of behavioral performance deficiencies with brain states in various regions of a brain;

selecting, using a functional-anatomical model coupled to a cognitive-behavior model, a set of high-definition neurostimulations, wherein the selected set of high-definition neurostimulations targets specific regions of the brain;

analyzing brain activity with a neuroimaging device as a plurality of behavioral tasks are performed, wherein the performance is used to parameterize the cognitive-behavior model;

implementing the cognitive-behavior model in a cognitive simulator;

sensing brain state data during application of the set of high-definition neurostimulations and performance of a selected behavioral task using at least one brain monitoring technique;

adapting the coupled functional-anatomical and cognitive-behavior models until desired brain state data are reached;

using the cognitive-behavior model to predict performance for a plurality of related behavioral tasks;

using the cognitive-behavior model to generate a set of behavioral tasks;

for each task in the set of behavioral tasks, searching for the desired brain state; and

causing a device to deliver neurostimulation by applying an electrical current to the brain to induce the desired brain state data.

18. The system as set forth in claim 17 , wherein the one or more processors further perform operations of:

associating, using the functional-anatomical model, brain regions for the desired brain state to specific physical locations; and

selecting, using the functional-anatomical model, the set of high-definition neurostimulations to be applied to reach the associated brain regions effectively to induce the desired brain state data.

19. The system as set forth in claim 17 , wherein the one or more processors further perform operations of:

assessing, using the cognitive-behavior model, changes in brain state as a selected behavioral task in the set of behavioral tasks is performed; and

outputting a new behavioral task in the set of behavioral tasks to be performed.