Brain condition monitoring based on co-activation of neural networks

A method for tracking a condition of a patient's brain, the method comprising:

• monitoring one or more first areas of the patient's brain, each of the one or more first areas associated with providing default mode network function for the patient's brain;
• identifying, by control circuitry, one or more episodes of default mode network activation of the one or more first areas, the identified one or more episodes of default mode network activation associated with default mode network function;
• monitoring one or more second areas of the patient's brain, each of the one or more second areas associated with providing salience network function for the patient's brain, wherein the one or more first areas of the patient's brain are different from the one or more second areas of the patient's brain;
• identifying, by the control circuitry, one or more episodes of salience network activation of the one or more second areas, the identified one or more episodes of salience network activation associated with salience network function;
• identifying a plurality of episodes of temporal co-activation of the first and second brain areas based on the identification of the one or more episodes of default mode network activation and the identification of the one or more episodes of salience network activation;
• tracking a condition of the patient's brain based on the plurality of episodes of temporal co-activation, wherein identifying the plurality of episodes of temporal co-activation and tracking the condition are each performed at least in part by the control circuitry;
• and
• controlling, using the control circuitry, a therapy based on the identification of the plurality of episodes of temporal co-activation of the first and second brain areas.