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Parcellation-based tractographic modeling of the ventral attention network
Parker G Allan1, Robert G Briggs2, Andrew K Conner1
1Department of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, OK, United States of America.
Journal of the Neurological Sciences
|November 11, 2019
Summary
This study models the ventral attention network (VAN) using tractography, revealing structural connections between frontal and parietal regions via the superior longitudinal fasciculus (SLF). This provides a detailed map of attention network connectivity.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- The ventral attention network (VAN) mediates stimulus-driven attention.
- Key cortical areas include frontal and parietal regions, but structural connectivity is poorly understood.
Purpose of the Study:
- To develop a tractographic model of the VAN.
- To identify structural connections between VAN cortical areas.
Main Methods:
- Utilized activation likelihood estimation (ALE) on fMRI studies to map the VAN.
- Employed diffusion spectrum imaging (DSI) fiber tractography to trace structural connections.
Main Results:
- Identified 14 cortical regions in the right hemisphere overlapping the VAN.
- Revealed U-shaped interconnections and SLF connections between frontal and parietal areas.
Conclusions:
- Presented a novel tractographic model of the VAN.
- The model highlights frontal-parietal connectivity via the SLF.
- This model may inform future clinical applications in attention disorders.
