Pregledni rad
https://doi.org/10.20471/jan.2026.01.07
Clinical Application of Computational Psychiatry in Non-Pharmacological Therapeutic Interventions for Individuals with Depressive Disorders: a Systematic Review
Igor Marinić
; Department of Psychiatry, Dubrava University Hospital, Zagreb, Croatia
*
Lana Mužinić Marinić
; Department of Psychiatry, Dubrava University Hospital, Zagreb, Croatia
* Dopisni autor.
Sažetak
Aim: This systematic review aimed to explore whether knowledge gained through computational psychiatry can be applied in non-pharmacological therapeutic interventions for individuals with depressive disorders and to identify which non-pharmacological approaches utilize this knowledge. Materials and Methods: This systematic review was conducted according to the PRISMA guidelines. PubMed and Scopus databases were searched for articles published in the last ten years using the terms “computational psychiatry” and “depression.” The study protocol was registered on the Open Science Framework. Results: Out of 777 articles, 15 were included in the review. The studies were divided into two groups: those investigating various brain stimulation techniques (direct current stimulation, electroconvulsive therapy, deep brain stimulation, and transcranial magnetic stimulation) and those examining behavioral and neurofeedback techniques. Findings indicate that computational psychiatry can optimize existing therapeutic approaches, including specific methodological aspects. Conclusion: This review indicates the potential for applying computational psychiatry methods in the non-pharmacological treatment of depressive disorders. These approaches enable the optimization of therapeutic strategies and the personalization of treatment to individual patients, enhancing the effectiveness of existing therapies.
Ključne riječi
Psychiatry; models, theoretical; depressive disorder
Hrčak ID:
344464
URI
Datum izdavanja:
10.2.2026.
Posjeta: 159 *