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Euclidean distance as a measure to distinguish ventral and dorsal white matter connectivity in the human brain

View ORCID ProfilePhilipp Kellmeyer, Magnus-Sebastian Vry
doi: https://doi.org/10.1101/053959
Philipp Kellmeyer
aNeuromedical Artificial Intelligence Lab, Department of Neurosurgery, Medical Center – University of Freiburg, Engelbergerstr. 21, D-79106, Freiburg im Breisgau, Germany
bCluster of Excellence BrainLinks-BrainTools, University of Freiburg, Germany
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Magnus-Sebastian Vry
cDepartment of Psychiatry, Medical Center - University of Freiburg, Hauptstr. 5, D-79104, Freiburg im Breisgau, Germany
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Abstract

Fiber tractography based on diffusion tensor imaging (DTI) has become an important research tool for investigating the anatomical connectivity between brain regions in vivo. Combining DTI with functional magnetic resonance imaging (fMRI) allows for the mapping of structural and functional architecture of large-scale networks for cognitive processing. This line of research has shown that ventral and dorsal fiber pathways subserve different aspects of bottom-up- and top-down processing in the human brain.

Here, we investigate the feasibility and applicability of Euclidean distance as a simple geometric measure to differentiate ventral and dorsal long-range white matter fiber pathways tween parietal and inferior frontal cortical regions, employing a body of studies that used probabilistic tractography.

We show that ventral pathways between parietal and inferior frontal cortex have on average a significantly longer Euclidean distance in 3D-coordinate space than dorsal pathways. We argue that Euclidean distance could provide a simple measure and potentially a boundary value to assess patterns of connectivity in fMRI studies. This would allow for a much broader assessment of general patterns of ventral and dorsal large-scale fiber connectivity for different cognitive operations in the large body of existing fMRI studies lacking additional DTI data.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 17, 2019.
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Euclidean distance as a measure to distinguish ventral and dorsal white matter connectivity in the human brain
Philipp Kellmeyer, Magnus-Sebastian Vry
bioRxiv 053959; doi: https://doi.org/10.1101/053959
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Euclidean distance as a measure to distinguish ventral and dorsal white matter connectivity in the human brain
Philipp Kellmeyer, Magnus-Sebastian Vry
bioRxiv 053959; doi: https://doi.org/10.1101/053959

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