Instability of the Connectom network due to external stimulus. 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 this constraints are not satisfied constraint-frustration occurs. Spread constraint-frustration dynamics among network units is the mark of instability and perturbations. This happens when specific stimulus perturbate the network in a way that the emergent property of reaction is fear.        
Imaging correlation matrixes over time locked to stimulus 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 desensitization psychotherapy is recommended, use Virtual Reality (VR)  experience-plasticity-inducing desensitization with add on of plasticity inducing Serotonin Specific Reuptake Inhibitors (SSRI’s), also consider alternative (enhancing) neuronal-plasticity induction using prefrontal transcranial Magnetic Stimulation (TMS) transcranial Direct Current Stimulation tDCS.