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The Salient Network optimizes interactions with the environment (Central Executive Network) and internal representations(the Default Mode Network). Depression is an Emergent Property of Deoptimization Dynamics when internal configurations of the Default mode network bias (increase Delta) from occurrences computed by the interaction of the Executive Network with the environmental Occurrences. De-Optimization happens via the Salient Network and happen within time windows of weeks to months.


Massive spread increase of plasticity will increase brain ‘adaptability’ and facilitate optimization dynamics whichin turn will reduce ‘free energy’ (delta) in computing environmental perturbations.   Reduction of free energy has antidepressant effect which will eliminate depression.


Concentrate on test-retest analysis in the time range of weeks to months. Search to compare Dynamic Causal Modeling entropic measurements measuring predictive Bayesian brain dynamics over time periods of months and weeks. Search dynamics going from more optimized states to less optimized states, (Humming distance) applied both to correlation matrixes and graph analysis edges   


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