Using Network Theory to Predict Depression Onset and Build a Personalized Early Warning System

Project Information

WARN-D

Grant agreement ID: 949059

DOI

10.3030/949059

EC signature date 1 March 2021

Start date 1 April 2021

End date 31 March 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

UNIVERSITEIT LEIDEN
Netherlands

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (6)

Assessing the internal consistency reliability of ecological momentary assessment measures: Insights from the WARN-D study.

Author(s): Sebastian Castro-Alvarez, Di Jody Zhou, Laura F. Bringmann, Rayyan Tutunji, Ricarda K. K. Proppert, Carlotta L. Rieble, Eiko I. Fried, Siwei Liu
Published in: Psychological Assessment, Issue 37, 2025, Page(s) 614-623, ISSN 1040-3590
Publisher: American Psychological Association
DOI: 10.1037/pas0001410

Building an early warning system for depression: rationale, objectives, and methods of the WARN-D study

Author(s): Eiko I. Fried, Ricarda K. K. Proppert, Carlotta L. Rieble
Published in: Clinical Psychology in Europe, 2023, ISSN 2625-3410
Publisher: Leibniz Institute for Psychology (ZPID)
DOI: 10.32872/cpe.10075

Understanding Ecological-Momentary-Assessment Data: A Tutorial on Exploring Item Performance in Ecological-Momentary-Assessment Data

Author(s): Björn S. Siepe, Carlotta L. Rieble, Rayyan Tutunji, Aljoscha Rimpler, Julius März, Ricarda K. K. Proppert, Eiko I. Fried
Published in: Advances in Methods and Practices in Psychological Science, Issue 8, 2025, ISSN 2515-2459
Publisher: SAGE Publications
DOI: 10.1177/25152459241286877

Introducing FRED: Software for Generating Feedback Reports for Ecological Momentary Assessment Data

Author(s): Aljoscha Rimpler; Björn S. Siepe; Carlotta L. Rieble; Ricarda K. K. Proppert; Eiko I. Fried
Published in: Administration and Policy in Mental Health and Mental Health Services Research, 2024, ISSN 1573-3289
Publisher: Springer
DOI: 10.1007/s10488-023-01324-4

Optimizing the frequency of ecological momentary assessments using signal processing

Author(s): Hamidreza Jamalabadi, Tahmineh A. Koosha, Elina Stocker, Andreas Jansen, Ulrich W. Ebner-Priemer, Ricarda K.K. Proppert, Carlotta L. Rieble, Rayyan Tutunji, Eiko I. Fried
Published in: Psychological Medicine, Issue 55, 2025, ISSN 0033-2917
Publisher: Cambridge University Press
DOI: 10.1017/s003329172510264x

Associations between ecological momentary assessment and passive sensor data in a large student sample.

Author(s): Björn S. Siepe, Rayyan Tutunji, Carlotta L. Rieble, Ricarda K. K. Proppert, Eiko I. Fried
Published in: Journal of Psychopathology and Clinical Science, Issue 134, 2025, Page(s) 912-925, ISSN 2769-755X
Publisher: American Psychological Association (APA)
DOI: 10.1037/abn0001013