Closed-loop neuromodulation to treat a condition of a brain using an adaptive brain state model

A system for closed-loop neuromodulation to treat a condition of a brain, the system comprising:

• at least one recording electrode configured to record conduction data from at least a portion of the brain;
• at least one stimulating electrode configured to apply an electrical signal, generated and configured by a generator, to at least another portion of the brain, wherein the electrical signal comprises at least one parameter;
• and
• a controller in electrical communication with the at least one recording electrode and the generator, the controller comprising a non-transitory memory configured to store instructions and a trained patient-specific model and a processor configured to execute the instructions and the trained patient-specific model to:
• receive the conduction data at a time;
• project the conduction data through the trained patient-specific model to determine a brain state at the time;
• update the at least one parameter of the electrical signal based on a propensity of the brain state at the time to cause an effect of the condition of the brain;
• and
• update the trained patient-specific model to include the brain state at the time and an effect of the updated the at least one parameter of the electrical signal on the brain state at the time.