Chad J. Donahue
Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey
Donahue, Chad J.; Sotiropoulos, Stamatios N.; Jbabdi, Saad; Hernandez-Fernandez, Moises; Behrens, Timothy E.; Dyrby, Tim B.; Coalson, Timothy; Kennedy, Henry; Knoblauch, Kenneth; Van Essen, David C.; Glasser, Matthew F.
Authors
Professor STAMATIOS SOTIROPOULOS STAMATIOS.SOTIROPOULOS@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTATIONAL NEUROIMAGING
Saad Jbabdi
Moises Hernandez-Fernandez
Timothy E. Behrens
Tim B. Dyrby
Timothy Coalson
Henry Kennedy
Kenneth Knoblauch
David C. Van Essen
Matthew F. Glasser
Abstract
Tractography based on diffusion MRI offers the promise of characterizing many aspects of long-distance connectivity in the brain, but requires quantitative validation to assess its strengths and limitations. Here, we evaluate tractography's ability to estimate the presence and strength of connections between areas of macaque neocortex by comparing its results with published data from retrograde tracer injections. Probabilistic tractography was performed on high-quality postmortem diffusion imaging scans from two Old World monkey brains. Tractography connection weights were estimated using a fractional scaling method based on normalized streamline density. We found a correlation between log-transformed tractography and tracer connection weights of r = 0.59, twice that reported in a recent study on the macaque. Using a novel method to estimate interareal connection lengths from tractography streamlines, we regressed out the distance dependence of connection strength and found that the correlation between tractography and tracers remains positive, albeit substantially reduced. Altogether, these observations provide a valuable, data-driven perspective on both the strengths and limitations of tractography for analyzing interareal corticocortical connectivity in nonhuman primates and a framework for assessing future tractography methodological refinements objectively.
Citation
Donahue, C. J., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Behrens, T. E., Dyrby, T. B., Coalson, T., Kennedy, H., Knoblauch, K., Van Essen, D. C., & Glasser, M. F. (2016). Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Journal of Neuroscience, 36(25), 6758-6770. https://doi.org/10.1523/JNEUROSCI.0493-16.2016
Journal Article Type | Article |
---|---|
Acceptance Date | May 14, 2016 |
Online Publication Date | Jun 22, 2016 |
Publication Date | Jun 22, 2016 |
Deposit Date | Apr 5, 2018 |
Publicly Available Date | Apr 5, 2018 |
Journal | Journal of Neuroscience |
Electronic ISSN | 1529-2401 |
Publisher | Society for Neuroscience |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Issue | 25 |
Pages | 6758-6770 |
DOI | https://doi.org/10.1523/JNEUROSCI.0493-16.2016 |
Keywords | cerebral cortex; connectivity; diffusion tractography; macaque; neuroanatomy; retrograde tracing |
Public URL | https://nottingham-repository.worktribe.com/output/793888 |
Publisher URL | http://www.jneurosci.org/content/36/25/6758 |
Contract Date | Apr 5, 2018 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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