TC2-Res: a structured fusion of tract-level and connectome-level brain imaging in small-sample cohorts of athletes

Yang Shi, Lixian Chen, Mingxuan Huang, Zhiqi Huang, Jiayu Ou, Junwei Zeng · 2026

Read TC2-Res: a structured fusion of tract-level and connectome-level brain imaging in small-sample cohorts of athletes by Yang Shi, Lixian Chen, Mingxuan Huang, Zhiqi Huang, Jiayu Ou, Junwei Zeng (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-13272116.txt.

Description

Yang Shi and coauthors present in 2026 a structured method for fusing two kinds of brain imaging data in a small group of college athletes. White matter tract measures and whole-brain connection maps each carry part of the picture, but small samples invite overfitting in flexible models. Their framework, TC2-Res, forces matching anatomical families to agree in a shared space.

On a task separating football players from other athletes, the structured method slightly beat a naive learned fusion baseline. A classical linear classifier still performed best overall, and gains linked to the consistency rule were limited. The authors frame the approach as plausible but unproven.

Catalog record

CREATORYang Shi, Lixian Chen, Mingxuan Huang, Zhiqi Huang, Jiayu Ou, Junwei Zeng
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE40 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13272116

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