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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Personalized prediction of response to selective serotonin reuptake inhibitors (SSRIs) treatment for major depression disorder using deep learning networks from connectivity maps of EEG

  • Javid Farhadi Sedehi
  • Sara Bagherzadeh
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Cite

BibTeXRIS
BibTeX
@article{sedehi2026personalized,
  title = {{Personalized prediction of response to selective serotonin reuptake inhibitors (SSRIs) treatment for major depression disorder using deep learning networks from connectivity maps of EEG}},
  author = {Javid Farhadi Sedehi and Sara Bagherzadeh},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74701-2},
  url = {https://www.nature.com/articles/s41598-026-74701-2},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Personalized prediction of response to selective serotonin reuptake inhibitors (SSRIs) treatment for major depression disorder using deep learning networks from connectivity maps of EEG
AU  - Javid Farhadi Sedehi
AU  - Sara Bagherzadeh
PY  - 2026
DA  - 2026/10/09
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74701-2
UR  - https://www.nature.com/articles/s41598-026-74701-2
SN  - 2045-2322
ER  -