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Catalina Nuñez Barraza

Catalina Nuñez Barraza

  • Postdoktorandin
  • Wissenschaftliche Mitarbeiterin

(English Version: here)

Forschungsschwerpunkte

  • Heterogenität von Depressionen
  • Rückfallprävention bei Depressionen
  • Dynamische Veränderungen und Beziehungen zwischen Symptomen der psychischen Gesundheit anhand von Netzwerkanalysen
  • Mechanismen für Depressionsrückfälle 

Aktuelle Projekte

SNSF Project "Telephone-administered Relapse Prevention for Depression" (NaTel Study)

SNSF Project "Rethinking Depression Relapse: Modeling the Dynamic Interplay of Functioning, Depressive Symptoms, and Psychological Mechanisms" (ReDy Study)

 

Ausgewählte Publikationen

Núñez C, Delgadillo J, Barkham M, Behn A. (2024). Understanding symptom profiles of depression with the PHQ-9 in a community sample using network analysis. European Psychiatry. 2024;67(1):e50. https://doi.org/10.1192/j.eurpsy.2024.1756

Labbé, N., Vaccarezza, S., Nuñez, C., Zimmermann, R., & Behn, A. (2024). Psychoeducational interventions for borderline personality disorder: A scoping review. Personality disorders, 10.1037/per0000729. Advance online publication. https://doi.org/10.1037/per0000729  

Muzard, A., Olhaberry, M., Núñez C., Vaccarezza, S., Franco, P., Moran, J., Sieverson, C., León. M.J., Apter, G. (2023). Parental personality traits and emotion regulation: its relationship with infants’ socioemotional development during the perinatal period. General Hospital Psychiatry. https://doi.org/10.1016/j.genhosppsych.2023.04.004 

Hernandez, C., Cottin, M., Parada, F., Labbe, N., Nunez, C., Quevedo, Y., ... & Behn, A. (2022). Watching the world from my screen: A longitudinal evaluation of the influence of a problematic use of the internet on depressive symptomatology. Computers in Human Behavior, 126, 106995. https://doi.org/10.1016/j.chb.2021.106995 

Barros, J., Morales, S., García, A., Echávarri,O., Fischman,R., Szmulewicz, M., Moya,C., Núñez, C., & Tomicic, C.(2020). Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample. BMC Psychiatry 20, 138. https://doi.org/10.1186/s12888-020-02535-x 

Maino, M. D. L. P., Morales, S., Echávarri, O., Barros, J., García, A., Nuñez, C., ... & Tomicic, A. (2018). Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique. Brazilian Journal of Psychiatry. 41(2), 112–121. https://doi.org/10.1590/1516-4446-2017-0028 

Morales, Barros, Echávarri, García, Osses, Moya, Maino, Fischman, Núñez, Szmulewicz y Tomicic. (2017). Acute mental discomfort associated with suicide behavior in a clinical sample of patients with affective disorders. Ascertaining critical variables using artificial intelligence tools. Frontiers in psychiatry, 8, 7. https://doi.org/10.3389/fpsyt.2017.00007