Publications by authors named "T F Blanken"

Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrates contemporary practices in applying network analytical tools, bridging the gap between network concepts and their empirical applications. We explain how we can use graphs to construct networks representing complex associations among observable psychological variables.

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  • Psilocybin shows promise as a treatment for depression, but its effects on sleep are not well understood, prompting an exploration of existing literature and new research.
  • Preliminary findings indicate that while psilocybin significantly reduces depressive symptoms, improvements in sleep quality are less pronounced, highlighting the complexity of its effects.
  • There's a notable link between initial sleep disturbances and the likelihood of depression remission, suggesting that addressing sleep issues could enhance the effectiveness of psilocybin therapy; further research should focus on individuals with sleep disorders.
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  • Electroconvulsive therapy (ECT) is effective for major depressive disorder, but individual responses vary and are hard to predict due to differences in symptoms.
  • The study analyzed data from 161 patients to determine which specific baseline depression symptoms could predict remission using a Mixed Graphical Model approach.
  • Results showed that suicidality negatively predicted remission, while symptoms like psychomotor retardation and hypochondriasis were positively associated with better treatment outcomes.
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Stimulant medication is effective in alleviating overall symptom severity of attention-deficit/hyperactivity disorder (ADHD), yet interindividual variability in treatment response and tolerability still exists. While network analysis has identified differences in ADHD symptom relations, the impact of stimulant medication remains unexplored. Increased understanding of this association could provide valuable insights for optimizing treatment approaches for individuals with ADHD.

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