4.5 Article

The Lamellar Structure of the Brain Fiber Pathways

Journal

NEURAL COMPUTATION
Volume 28, Issue 11, Pages 2533-2556

Publisher

MIT PRESS
DOI: 10.1162/NECO_a_00896

Keywords

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Funding

  1. NSF [DBI-1143389, DBI-1147260, EF-0850369, PHY-1201238]
  2. NIH [R01 MH096100]
  3. McDonnell Center for Systems Neuroscience at Washington University
  4. National Institute of Dental and Craniofacial Research
  5. National Institute of Mental Health
  6. National Institute of Neurological Disorders and Stroke
  7. [1U54MH091657]
  8. Direct For Computer & Info Scie & Enginr
  9. Office of Advanced Cyberinfrastructure (OAC) [1550405] Funding Source: National Science Foundation
  10. Div Of Biological Infrastructure
  11. Direct For Biological Sciences [1147260] Funding Source: National Science Foundation

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We present a quantitative statistical analysis of pairwise crossings for all fibers obtained from whole brain tractography that confirms with high confidence that the brain grid theory (Wedeen etal., 2012a) is not supported by the evidence. The overall fiber tracts structure appears to be more consistent with small angle treelike branching of tracts rather than with near-orthogonal gridlike crossing of fiber sheets. The analysis uses our new method for high-resolution whole brain tractography that is capable of resolving fibers crossing of less than 10 degrees and correctly following a continuous angular distribution of fibers even when the individual fiber directions are not resolved. This analysis also allows us to demonstrate that the whole brain fiber pathway system is very well approximated by a lamellar vector field, providing a concise and quantitative mathematical characterization of the structural connectivity of the human brain.

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