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Updated: Sep 13, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Using network analysis to personalize treatment for individuals with co-occurring restrictive eating disorders and
Lauren M Harris1, Irina A Vanzhula2, Elizabeth D Cash2,3,4
1Department of Psychological Sciences, Auburn University, 226 Thach Hall, Auburn, AL, 36849-9027, USA. lmh0159@auburn.edu.
Idiographic network models offer personalized treatment for Anorexia Nervosa spectrum disorders (ANSD) with suicidality. Identifying central and bridge symptoms can guide interventions for better outcomes.
Area of Science:
- Psychiatry
- Psychology
- Network Science
Background:
- Standard eating disorder interventions often lack specific guidance for managing suicidality.
- Anorexia Nervosa spectrum disorders (ANSD) frequently co-occur with suicidality, necessitating tailored treatment approaches.
Purpose of the Study:
- To demonstrate the utility of idiographic network models for personalizing treatment in ANSD with suicidality.
- To identify key symptoms and their relationships within individual patient networks.
Main Methods:
- Ecological momentary assessment data collected over 21 days for three ANSD patients.
- Generation of contemporaneous and temporal idiographic symptom networks.
- Identification of central and bridge symptoms within each patient's network.
Main Results:
- Network analysis revealed patient-specific central symptoms and bridge symptoms linking eating pathology and suicidality.
- Bridge symptoms emerged as promising targets for concurrent intervention.
- Targeting high centrality symptoms may lead to network-wide symptom improvement.
Conclusions:
- Idiographic network models can inform personalized treatment for co-occurring eating disorders and suicidality.
- Further research on intervention development is needed to fully realize the potential of this approach.
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