On the value of radiomics in addition to clinical measures in emotional conflict fMRI for predicting sertraline response in major depressive disorder
Mingshi Chen, Henk A Marquering, Henricus G Ruhé, Liesbeth Reneman, Matthan WA Caan · 2026
Read On the value of radiomics in addition to clinical measures in emotional conflict fMRI for predicting sertraline response in major depressive disorder by Mingshi Chen, Henk A Marquering, Henricus G Ruhé, Liesbeth Reneman, Matthan WA Caan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13518959.txt.
Description
Mingshi Chen and four colleagues test in 2026 whether radiomics, a texture-mining method for images, can sharpen predictions of antidepressant response in major depression from brain scans. Most patients miss out on their first-line drug, and standard scan analysis averages activity across regions, wasting detail. Their preregistered analysis used emotional-conflict fMRI from 254 trial outpatients.
Clinical variables carried the strongest signal throughout. Combined models could predict placebo response at week one, though not sertraline response. Radiomic models underperformed for sertraline, while whole-brain features helped modestly, and early clinical measures outranked every imaging feature. Chen and co-authors conclude the added value of emotional-conflict scans and radiomics looks limited for this purpose.
Catalog record
| CREATOR | Mingshi Chen, Henk A Marquering, Henricus G Ruhé, Liesbeth Reneman, Matthan WA Caan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46660 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |