The brain's first "traffic map" through Unified Structural and Functional Connectivity (USFC) modeling

Area of Science:

• Neuroscience
• Computational Neuroscience
• Brain Imaging

Background:

• Brain function relies on structural white matter connections for communication between distant regions.
• The precise mechanisms by which the brain selects optimal structural routes for functional communication are not well understood.

Purpose of the Study:

• To propose and validate a Unified Structural and Functional Connectivity (USFC) model.
• To create the brain's first "traffic map" illustrating the usage frequency of structural connections for global functional communication.

Main Methods:

• Development of the Unified Structural and Functional Connectivity (USFC) model.
• Application of an "economical assumption" to generate a brain connectivity "traffic map".

Main Results:

• The USFC map identified subcortical, default-mode, and salience networks as highly utilized regions.
• A specific midline corridor (frontal-caudate-thalamus-posterior cingulate-visual cortex) was identified as a central backbone.
• Negative association found between structural and functional connectivity in negative functional connection routes.
• USFC connectome demonstrated superior efficiency and predictive performance for cognition compared to standalone structural or functional connectomes.

Conclusions:

• The USFC model offers a novel approach to integrated brain connectome modeling.
• This study represents a significant advancement in brain mapping, enhancing understanding of neural communication mechanisms.
• The findings provide insights into how the brain optimizes its communication infrastructure for cognitive processes.