The Brain’s First “Traffic Map” through Unified Structural and Functional Connectivity (USFC) Modeling
Arzu HAS SILEMEK, Haitao Chen, Pascal Sati, Wei Gao

TL;DR
This paper introduces a new brain connectivity model that combines structural and functional data to create a 'traffic map' of brain communication routes.
Contribution
The novel contribution is the Unified Structural and Functional Connectivity (USFC) model, which reveals frequently used brain pathways and their efficiency.
Findings
Subcortical, default-mode, and salience networks are heavily traversed in brain communication.
A midline frontal-caudate-thalamus-posterior cingulate-visual cortex corridor serves as the brain's connectivity backbone.
USFC connectome shows higher efficiency and negative associations between structural and functional connectivity in certain routes.
Abstract
The brain’s white matter connections are thought to provide the structural basis for its functional connections between distant brain regions but how our brain selects the best structural routes for effective functional communications remains poorly understood. In this study, we propose a Unified Structural and Functional Connectivity (USFC) model and use an “economical assumption” to create the brain’s first “traffic map” reflecting how frequently each structural connection segment of the brain is used to achieve the global functional communication system. The resulting USFC map highlights regions in the subcortical, default-mode, and salience networks as the most heavily traversed nodes and a midline frontal-caudate-thalamus-posterior cingulate-visual cortex corridor as the backbone of the whole brain connectivity system. Our results further revealed a striking negative association…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · EEG and Brain-Computer Interfaces
