Description
Unlike traditional approaches, network analysis considers the complex interplay of symptoms and factors on an individual level through idiographic networks, aiming to predict the development of psychopathology and treatment effects. However, these theories face challenges in constructing accurate models due to reliance on estimated rather than directly observed data, leading to potential inaccuracies.The study introduces a bottom-up approach focusing on personal networks designed with therapist assistance, aiming to identify symptoms and their relationships accurately. This method seeks to overcome the limitations of traditional models by using actual subjective observations. As a proof of concept, the research applies this approach to insomnia, a disorder characterized by its symptom heterogeneity and significant impact on individuals' health and quality of life. By constructing idiosyncratic networks for patients with insomnia and synthesizing these into a global network, the study aims to develop a novel Network Theory of Insomnia. This new model could offer insights into the dynamics of insomnia symptoms, potentially leading to improvements in cognitive-behavioral therapy for insomnia by identifying novel therapeutic targets, thereby addressing treatment non-response. This innovative approach to studying psychopathology could pioneer new therapeutic strategies beyond traditional methods.
| Periode | 19 jul. 2022 |
|---|---|
| Gehouden op | Brugmann University Hospital, Belgium |
| Mate van erkenning | Local |