Rayyan Toutounji
Researcher
- Name
- Dr. R. Toutounji
- Telephone
- 071 5272727
- r.toutounji@fsw.leidenuniv.nl
- ORCID iD
- 0000-0002-3537-9888
Rayyan Toutounji (also written as Tutunji), is psychologist and cognitive neuroscientist specializing in stress-related disorders such as depression and burnout. He has previously worked at the Donders Institute for Brain, Cognition, and Behaviour where he investigated how neural responses to stress are linked to real-life responses to stress. He additionally worked as a postdoc at the Radboudumc investigating memory bias dynamics in depression in real-life and their neural underpinnings. Currently, Rayyan works as a postdoc on the WARN-D study, with the aim of building machine learning models that leverage smartphone and smartwatch data for the prediction of depression in daily life. His interests primarily lie in real-life assessment, and building bridges between lab work and real-life measurement.
Researcher
- Faculty of Social and Behavioural Sciences
- Psychology
- Clinical Psychology
- Rayyan Tutunji R., Krentz M., Kogias N., Voogd L.D. de, Krause F., Vassena E., Hermans E.J. & Toutounji R. (2025), Changes in large-scale neural networks under stress are linked to affective reactivity to stress in real life, eLife 14(1): RP102574.
- Castro-Alvarez S., Zhou Di J., Bringmann L.F., Tutunji R., Proppert R.K.K., Rieble C.L., Fried E.I. & Liu S. (2025), Assessing the internal consistency reliability of ecological momentary assessment measures: insights from the WARN-D study, Psychological Assessment 37(11): 614-623.
- Siepe B.S., Rieble C.L., Tutunji R., Rimpler A., Marz J., Proppert R.K. & Fried E.I. (2025), Understanding ecological-momentary-assessment data: a tutorial on exploring item performance in ecological-momentary-assessment data, Advances in Methods and Practices in Psychological Science 8(1): .
- Jamalabadi H., Koosha Stocker E., Janse A., Ebner-Priemer U.W., Proppert R.K.K., Rieble C.L., Tutunji R. & Fried E.I. (2025), Optimizing the frequency of ecological momentary assessments using signal processing, Psychological Medicine 55: e358.
- Siepe B.S., Tutunji R., Rieble C.L., Proppert R.K.K. & Fried E.I (2025), Associations Between Ecological Momentary Assessment and Passive Sensor Data in a Large Student Sample, Journal of Psychopathology and Clinical Science 134(8): 912-925.
- Tutunji R., Ikani S., Magusin N. & Vrijsen J.N. (2024), Increased memory accuracy of previous mood states in depressed patients in daily life, Scientific Reports 14: 1-10 (27881).