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An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis
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An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis
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Journal Article
An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis
2016
Overview
Dynamic relationships between the symptoms of psychosis can be shown in individual networks of psychopathology. In a single patient, data collected with the Experience Sampling Method (ESM-a method to construct intensive time series of experience and context) can be used to study lagged associations between symptoms in relation to illness severity and pharmacological treatment.
The patient completed, over the course of 1 year, for 4 days per week, 10 daily assessments scheduled randomly between 10 minutes and 3 hours apart. Five a priori selected symptoms were analysed: 'hearing voices', 'down', 'relaxed', 'paranoia' and 'loss of control'. Regression analysis was performed including current level of one symptom as the dependent variable and all symptoms at the previous assessment (lag) as the independent variables. Resulting regression coefficients were printed in graphs representing a network of symptoms. Network graphs were generated for different levels of severity: stable, impending relapse and full relapse.
ESM data showed that symptoms varied intensely from moment to moment. Network representations showed meaningful relations between symptoms, e.g. 'down' and 'paranoia' fuelling each other, and 'paranoia' negatively impacting 'relaxed'. During relapse, symptom levels as well as the level of clustering between symptoms markedly increased, indicating qualitative changes in the network. While 'hearing voices' was the most prominent symptom subjectively, the data suggested that a strategic focus on 'paranoia', as the most central symptom, had the potential to bring about changes affecting the whole network.
Construction of intensive ESM time series in a single patient is feasible and informative, particularly if represented as a network, showing both quantitative and qualitative changes as a function of relapse.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
Antipsychotic Agents - administration & dosage
/ Antipsychotic Agents - therapeutic use
/ Clozapine - administration & dosage
/ Computer and Information Sciences
/ Dose-Response Relationship, Drug
/ Female
/ Graphs
/ Hallucinations - complications
/ Hearing
/ Humans
/ Medicine and Health Sciences
/ Paranoid Disorders - complications
/ Patients
/ Psychotic Disorders - complications
/ Psychotic Disorders - drug therapy
/ Psychotic Disorders - physiopathology
/ Psychotic Disorders - psychology
/ Research and Analysis Methods
/ Studies
