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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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

Arzu C Has Silemek^1,2, Haitao Chen^3,4, Pascal Sati^5,3

¹Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. arzu.hassilemek@cshs.org.

Communications Biology

|November 9, 2024

Summary

Researchers developed a Unified Structural and Functional Connectivity (USFC) model to map brain communication pathways. This "traffic map" reveals key brain networks and pathways crucial for cognitive function.

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Last Updated: Jun 7, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

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Published on: February 24, 2021

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.