Xiao Chen
@xiao-chen-phd.bsky.social
I'm now a research assistant professor at the Institute of Psychology, CAS. My research interest is developing neuromodulation methods targeting depressive rumination.
Findings reveal shared DMN core–MTL coupling and a VAN-specific topological alteration linked to depression severity.
📊 All MRI data, clinical data, and analysis code are openly shared to support transparency and reuse.
doi.org/10.17605/OSF...
github.com/XiaoChenPhD/...
📊 All MRI data, clinical data, and analysis code are openly shared to support transparency and reuse.
doi.org/10.17605/OSF...
github.com/XiaoChenPhD/...
GitHub - XiaoChenPhD/rum_network_stable: This is the stable code for archiving and reproducing findings reported in Chen et al., 2025
This is the stable code for archiving and reproducing findings reported in Chen et al., 2025 - XiaoChenPhD/rum_network_stable
github.com
December 29, 2025 at 7:35 AM
Findings reveal shared DMN core–MTL coupling and a VAN-specific topological alteration linked to depression severity.
📊 All MRI data, clinical data, and analysis code are openly shared to support transparency and reuse.
doi.org/10.17605/OSF...
github.com/XiaoChenPhD/...
📊 All MRI data, clinical data, and analysis code are openly shared to support transparency and reuse.
doi.org/10.17605/OSF...
github.com/XiaoChenPhD/...
We also developed a big data-guided individualized TMS targeting algorithm that may enhance treatment outcomes! 🧠✨
This dataset will be openly shared soon, enabling future research & clinical insights!
This dataset will be openly shared soon, enabling future research & clinical insights!
June 5, 2025 at 6:08 AM
We also developed a big data-guided individualized TMS targeting algorithm that may enhance treatment outcomes! 🧠✨
This dataset will be openly shared soon, enabling future research & clinical insights!
This dataset will be openly shared soon, enabling future research & clinical insights!
Take-home messages:
- Data: 380 TRD patients from FOURD & CARTBIND trials
- Best-performing: newly-developed rTMS equipercentile model
- Support vector regression (SVR) model showed strong potential with competitive accuracy
- Data: 380 TRD patients from FOURD & CARTBIND trials
- Best-performing: newly-developed rTMS equipercentile model
- Support vector regression (SVR) model showed strong potential with competitive accuracy
March 31, 2025 at 2:13 AM
Take-home messages:
- Data: 380 TRD patients from FOURD & CARTBIND trials
- Best-performing: newly-developed rTMS equipercentile model
- Support vector regression (SVR) model showed strong potential with competitive accuracy
- Data: 380 TRD patients from FOURD & CARTBIND trials
- Best-performing: newly-developed rTMS equipercentile model
- Support vector regression (SVR) model showed strong potential with competitive accuracy