Group-common and individual-specific effects of structure–function coupling in human brain networks with graph neural networks
Peiyu Chen, Hang Yang, Xin Zheng, Hai Jia, Jiachang Hao, Xiaoyu Xu, Chao Li, Xiaosong He, Runsen Chen, Tatsuo S Okubo, Zaixu Cui · 2024
Read Group-common and individual-specific effects of structure–function coupling in human brain networks with graph neural networks by Peiyu Chen, Hang Yang, Xin Zheng, Hai Jia, Jiachang Hao, Xiaoyu Xu, Chao Li, Xiaosong He, Runsen Chen, Tatsuo S Okubo, Zaixu Cui (2024) 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-12315733.txt.
Description
Chen and a large team use graph neural networks to split shared and personal traits of brain wiring in twenty twenty-four. The brain's white matter paths set a frame that its activity zones must work within. How tight that frame is may be shared by all people or vary by person. The team trained a network to predict activity links from wiring links in two data sets.
The network forecast unseen people's activity maps well, far better than plain correlation. Most of the link was shared across the group, driven by the web's shape. Small but real personal effects sat on top. Brain zones split by role: sense zones were more shared, thought zones more personal.
Catalog record
| CREATOR | Peiyu Chen, Hang Yang, Xin Zheng, Hai Jia, Jiachang Hao, Xiaoyu Xu, Chao Li, Xiaosong He, Runsen Chen, Tatsuo S Okubo, Zaixu Cui |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 73 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |