Effects of spatial and functional embedding of routes on activity flow prediction.

Effects of spatial and functional embedding of routes on activity flow prediction.

<p><b>(A)</b> Schematic diagram of the influence of physical distance on routes. When two functional connections (FC<sub>12</sub> and FC<sub>23</sub>) have the same weight (= 0.6) but different physical distance (3 and 2, respectively), the modulated weights...

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Bibliographic Details
Main Author:	Zhengdong Wang (35299) (author)
Other Authors:	Yifeixue Yang (20846103) (author), Ziyi Huang (2743363) (author), Wanyun Zhao (20579201) (author), Kaiqiang Su (20846106) (author), Hengcheng Zhu (17731551) (author), Dazhi Yin (110014) (author)
Published:	2025
Subjects:	Neuroscience Evolutionary Biology Statistics Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> understanding scale information processing physical distance constraint network communication strategies including search information empirical network models asymmetric routing contribution activity flow prediction cognitive task information shortest path routing shortest path outperformed shortest path assumption shortest path path ensembles direct path cognitive neuroscience structural connectivity simultaneously considered significantly lower optimal route interregional functional functional embedding central goal brain networks also suggests
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