Montage design for closed loop sensing and neurostimulation of the dorsal lateral prefrontal cortex and/or motor cortex

1. A system for automatic adjustment of neurostimulation, the system comprising:

a neural device comprising a targeted arrangement of stimulating electrodes and recording electrodes and sensors configured to record neural data and apply neurostimulation; and

one or more processors and a non-transitory memory having instructions encoded thereon such that when the instructions are executed, the one or more processors perform operations of:

accessing a set of recorded behavioral data and recorded neural data comprising behavioral and neural recordings obtained from at least one expert in a skill and behavioral and neural recordings of at least one novice in a skill;

determining stimulation parameters for a first neurostimulation based on a comparison of a first set of behavioral and neural recordings obtained from a current novice in the skill and the behavioral and neural recordings obtained from the at least one expert and the at least one novice in the skill;

causing the first neurostimulation to be applied, via the neural device, to at least one of a motor cortex and a dorsal lateral prefrontal cortex of the current novice while simultaneously obtaining a second set of behavioral and neural recordings; and

assessing skill improvement and any relative shift in locational brain activity between the first set of neural recordings and the second set of neural recordings;

adjusting the stimulation parameters and causing a second neurostimulation to be applied, whereby the second neurostimulation increases or decreases stimulation in the motor cortex relative to the first neurostimulation and increases or decreases stimulation in the dorsal lateral prefrontal cortex relative to the first neurostimulation based on the assessed skill improvement.

2. The system as set forth in claim 1 , wherein the second neurostimulation decreases stimulation relative to the first neurostimulation in the motor cortex and increases stimulation relative to the first neurostimulation in the dorsal lateral prefrontal cortex when the second set of behavioral and neural recordings indicate improvement in the skill.

3. The system as set forth in claim 1 , wherein the neural device comprises electroencephalogram (EEG) electrodes and functional near-infrared spectroscopy (fNIRS) sensors.

4. The system as set forth in claim 3 , wherein the neural device comprises transcranial direct current stimulation (tDCS) electrodes, and wherein the EEG electrodes are configured to record neural activity of the entire brain, the fNIRS sensors are configured to record neural activity of specific neural regions, and the tDCS electrodes are configured to apply stimulation to specific neural regions.

5. The system as set forth in claim 1 , wherein the neural device is a neural cap.

6. A computer-implemented method for automatic adjustment of neurostimulation, comprising:

an act of causing one or more processors to execute instructions stored on a non-transitory memory such that upon execution, the one or more processors perform operations of:

accessing a set of recorded behavioral data and recorded neural data comprising behavioral and neural recordings obtained from at least one expert in a skill and behavioral and neural recordings of at least one novice in a skill;

determining stimulation parameters for a first neurostimulation based on a comparison of a first set of behavioral and neural recordings obtained from a current novice in the skill and the behavioral and neural recordings obtained from the at least one expert and the at least one novice in the skill,

wherein the neural recordings obtained from the current novice are recorded via a neural device comprising a targeted arrangement of stimulating electrodes and recording electrodes and sensors configured to record neural data and apply neurostimulation;

causing the first neurostimulation to be applied, via the neural device, to at least one of a motor cortex and a dorsal lateral prefrontal cortex of the current novice while simultaneously obtaining a second set of behavioral and neural recordings; and

assessing skill improvement and any relative shift in locational brain activity between the first set of neural recordings and the second set of neural recordings;

adjusting the stimulation parameters and causing a second neurostimulation to be applied, whereby the second neurostimulation increases or decreases stimulation in the motor cortex relative to the first neurostimulation and increases or decreases stimulation in the dorsal lateral prefrontal cortex relative to the first neurostimulation based on the assessed skill improvement.

7. The method as set forth in claim 6 , wherein the second neurostimulation decreases stimulation relative to the first neurostimulation in the motor cortex and increases stimulation relative to the first neurostimulation in the dorsal lateral prefrontal cortex when the second set of behavioral and neural recordings indicate improvement in the skill.

8. The method as set forth in claim 6 , wherein the neural device comprises electroencephalogram (EEG) electrodes and functional near-infrared spectroscopy (fNIRS) sensors.

9. The method as set forth in claim 8 , wherein the neural device comprises transcranial direct current stimulation (tDCS) electrodes, and wherein the one or more processors further perform operations of:

causing the EEG electrodes to record neural activity of the entire brain;

causing the fNIRS sensors to record neural activity of specific neural regions; and

causing the tDCS electrodes to apply stimulation to specific neural regions.

10. A computer program product for automatic adjustment of neurostimulation, 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 processor to perform operations of:

accessing a set of recorded behavioral data and recorded neural data comprising behavioral and neural recordings obtained from at least one expert in a skill and behavioral and neural recordings of at least one novice in a skill;

determining stimulation parameters for a first neurostimulation based on a comparison of a first set of behavioral and neural recordings obtained from a current novice in the skill and the behavioral and neural recordings obtained from the at least one expert and the at least one novice in the skill,

wherein the neural recordings obtained from the current novice are recorded via a neural device comprising a targeted arrangement of stimulating electrodes and recording electrodes and sensors configured to record neural data and apply neurostimulation;

causing the first neurostimulation to be applied, via the neural device, to at least one of a motor cortex and a dorsal lateral prefrontal cortex of the current novice while simultaneously obtaining a second set of behavioral and neural recordings; and

assessing skill improvement and any relative shift in locational brain activity between the first set of neural recordings and the second set of neural recordings;

adjusting the stimulation parameters and causing a second neurostimulation to be applied, whereby the second neurostimulation increases or decreases stimulation in the motor cortex relative to the first neurostimulation and increases or decreases stimulation in the dorsal lateral prefrontal cortex relative to the first neurostimulation based on the assessed skill improvement.

11. The computer program product as set forth in claim 10 , wherein the second neurostimulation decreases stimulation relative to the first neurostimulation in the motor cortex and increases stimulation relative to the first neurostimulation in the dorsal lateral prefrontal cortex when the second set of behavioral and neural recordings indicate improvement in the skill.

12. The computer program product as set forth in claim 10 , wherein the neural device comprises electroencephalogram (EEG) electrodes, functional near-infrared spectroscopy (fNIRS) sensors, and transcranial direct current stimulation (tDCS) electrodes, and wherein the computer program product further comprises instructions for causing the one or more processors to further perform operations of:

causing the EEG electrodes to record neural activity of the entire brain;

causing the fNIRS sensors to record neural activity of specific neural regions; and

causing the tDCS electrodes to apply stimulation to specific neural regions.