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A Network-Based Approach to Anticipate Time to Recovery in Major Depression Reveals a Plasticity by Context Interplay

https://doi.org/10.2139/ssrn.4792347
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Escitalopram modulates learning content-specific neuroplasticity of functional brain networks
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The double edged sword of neural plasticity: Increasing serotonin levels leads to both greater vulnerability to depression and improved capacity to recover
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Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.
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Comparing network structures on three aspects: A permutation test.
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Catastrophic shifts in ecosystems
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Vulnerability genes or plasticity genes?
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Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model
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Predicting antidepressant treatment outcome based on socioeconomic status and citalopram dose
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Time moderates the interplay between 5-HTTLPR and stress on depression risk: gene x environment interaction as a dynamic process
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Towards a network-based operationalization of plasticity for predicting the transition from depression to mental health
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Citalopram amplifies the influence of living conditions on mood in depressed patients enrolled in the STAR*D study
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Critical slowing down as early warning for the onset and termination of depression
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The costs and benefits of flexibility as an expression of behavioural plasticity: a primate perspective
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The effects of psychotherapies for depression on response, remission, reliable change, and deterioration: A meta‐analysis
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Anticipating Critical Transitions
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Psychedelics and the essential importance of context
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Nature-Based Interventions for Mental Health Care: Social Network Analysis as a Tool to Map Social Farms and their Response to Social Inclusion and Community Engagement
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