Transitions In Depression
Personalized early warning signals - Mapping psychological changes
The aim of the TRANS-ID project (TRANSitions In Depression) is to discover personalised signals that may indicate critical transitions in psychological symptoms. We will investigate within single individuals which early warning signals precede symptom change and thereby examine whether psychological symptoms behave according to the principles of complex dynamical systems.
To gain insight into this, we use a diary approach (also known as the experience sampling method) to capture the micro-level changes of symptoms, emotions, behaviours and daily context over time. In addition, we collect measurements of movement and heart rate using high-tech, user-friendly sensors.
The project is divided into three sub-projects:
This project investigates what kind of changes occur during the tapering of antidepressant medication, and whether early warning signals precede the moment that depressive symptoms increase. We are recruiting from a population of people who previously experienced depressive symptoms, and who wish to taper their antidepressants.
This project investigates whether we can anticipate the moment individuals begin to recover from depressive symptoms. We are recruiting from a population of people who are currently experiencing depressive symptoms and are going to follow psychological treatment.
In this project, we aim to find out whether we can anticipate what kind of changes young adults with an increased risk for psychopathology experience in terms of mental health problems. We investigate this in a population of young adults because early adulthood is a critical life period during which many changes occur that may influence the development of mental health issues.
Early warning signals in psychopathology: what do they tell?
Schreuder, M. J., Hartman, C. A., George, S. V., Menne-Lothmann, C., Decoster, J., van Winkel, R., Delespaul, P., De Hert, M., Derom, C., Thiery, E., Rutten, B. P. F., Jacobs, N., van Os, J., Wigman, J. T. W. , Wichers, M.Continue reading...
TRAILS TRANS-ID: a six-month daily diary study in young adults at increased risk for mental health problems
Measuring psychopathology as it unfolds in daily life: addressing key assumptions of intensive longitudinal methods in the TRAILS TRANS-ID study
Schreuder, M.J., Groen, R.N., Wigman, J.T.W., Hartman, C.A., Wichers, M.Continue reading...
Revealing nonlinear patterns of individual improvement in depression
Helmich, M. A., Wichers, M., Olthof, M., Strunk, G., Aas, B., Aichhorn, W., Schiepek, G. Snippe, E.Continue reading...
As of May 1st 2017 the TRANS-ID project has officially started. People can now sign up for participation in the TRANS-ID Tapering and TRANS-ID Recovery projects.Continue reading...
Below you will find the three most recent Trans-ID publications.
George, S. V., Kunkels, Y. K., Booij, S., & Wichers, M. (2021). Uncovering complexity details in actigraphy patterns to differentiate the depressed from the non-depressed. Scientific reports, 11(1), 1-11. 10.1038/s41598-021-92890-w. [Full Text]
Helmich, M. A., Wichers, M., Olthof, M., Strunk, G., Aas, B., Aichhorn, W., Schiepek, G. Snippe, E. (2020). Sudden gains in day-to-day change: Revealing nonlinear patterns of individual improvement in depression. Journal of Consulting and Clinical Psychology, 88(2), 119–127. 10.1037/ccp0000469. [Full text]
Schreuder, M.J., Groen, R.N., Wigman, J.T.W., Hartman, C.A., Wichers, M. (2020). Measuring psychopathology as it unfolds in daily life: addressing key assumptions of intensive longitudinal methods in the TRAILS TRANS-ID study. BMC Psychiatry, 20(351), 1-14. 10.1186/s12888-020-02674-1. [Full text]
Click here for the full list of publications.
Our research is anchored in the following principles:
Psychopathology is not static but dynamic.
Therefore, we aim to map the complete processes of symptom change in detail.
Psychopathology moves across diagnostic boundaries.
From this perspective, we investigate changes in mental health symptomatology.
Research should yield results that are relevant to the individual.
This is why we designed this project to allow the analysis of person-specific models.