Instability of the Connectom network. Neural networks are ‘multiple constraint’ systems as the activity of one unit in the network determines the activity of those connected to it. Also each unit in the network satisfies the connections exerted on it, and the entire network stabilizes based on constraint-satisfaction dynamics. When these constraints are not satisfied constraint-frustration occurs. Spread constraint-frustration dynamics among network units is the mark of instability and perturbations. This happens during computational related activity, and is bound to increase with compositional load. Increase of spread constrain frustration dynamics has the emergent property of anxious mood

Imaging correlation matrixes over time will show increase in fluctuations, this will also show on dynamic graphs fluctuating over time to increase ‘multiple constraint satisfaction’ among spread cortical neural networks increase of plasticity is warranted. More spines dendrite and neurons will enable increased brain plasticity with the stabilizing effect of constrain satisfaction
Traditionally Serotonin Specific Reuptake Inhibitors (SSRI’s) and Anxiolytics are administrated induction of neuronal plasticity is achieved with SSRI’s theoretically consider alternative (or enhancing) neuronal-plasticity induction using prefrontal transcranial Magnetic Stimulation (TMS) transcranial or Direct Current Stimulation tDCS. Consider adding Virtual Reality (VR)  calming meditative experience-plasticity-inducing environments