An Epicenter-guided computational framework for personalized target of repetitive transcranial magnetic stimulation in schizophrenia
Yingjie Tang, Sisi Jiang, Huan Huang, Xueqing Sun, Chao Mu, Mingjun Duan, Roberto Rodríguez-Labrada, Dezhong Yao, Cheng Luo · 2026
Read An Epicenter-guided computational framework for personalized target of repetitive transcranial magnetic stimulation in schizophrenia by Yingjie Tang, Sisi Jiang, Huan Huang, Xueqing Sun, Chao Mu, Mingjun Duan, Roberto Rodríguez-Labrada, Dezhong Yao, Cheng Luo (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/pmc-13573745.txt.
Description
Magnetic stimulation of the forehead can ease schizophrenia symptoms, but one fixed target fits patients poorly. Yingjie Tang and co-authors built a computational method to aim it personally. First, each patient's brain map is scanned for epicenters: regions whose shrinkage pattern matches the disease's wiring signature. Then the method finds the forehead spot most strongly connected to those epicenters.
The framework was built on scans from over five hundred patients and as many controls. Epicenters clustered in high-level association areas, matching earlier work. In past treatment data, patients whose stimulation landed near the computed target improved more, especially in negative symptoms. Brain networks also normalized more. Prospective trials come next.
Catalog record
| CREATOR | Yingjie Tang, Sisi Jiang, Huan Huang, Xueqing Sun, Chao Mu, Mingjun Duan, Roberto Rodríguez-Labrada, Dezhong Yao, Cheng Luo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |