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Quantifying nerve decussation abnormalities in the optic chiasm.

Robert J Puzniak1, Khazar Ahmadi1, Jörn Kaufmann2

  • 1Department of Ophthalmology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.

Neuroimage. Clinical
|November 14, 2019
PubMed
Summary
This summary is machine-generated.

Diffusion MRI (dMRI) reveals abnormal optic chiasm fiber crossing in albinism. This advanced imaging technique aids in diagnosing visual pathway abnormalities.

Keywords:
AlbinismCrossing nervesDiffusion MRIFunctional MRIOptic chiasm

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Ophthalmology

Background:

  • The human optic chiasm contains partially crossing optic nerve fibers.
  • Albinism is associated with an abnormally high proportion of crossing fibers in the optic chiasm.

Purpose of the Study:

  • To use in-vivo diffusion MRI (dMRI) to identify and quantify the abnormally high proportion of crossing fibers in the optic chiasm of individuals with albinism.
  • To compare the discriminative power of different dMRI signal modeling and tractography methods for detecting these abnormalities.

Main Methods:

  • Acquired high-resolution 3T dMRI data from 9 individuals with albinism and 8 controls.
  • Analyzed data using Diffusion Tensor (DT) and Constrained Spherical Deconvolution (CSD) modeling, tractography, and streamline filtering (LiFE, COMMIT, SIFT2).
  • Cross-validated dMRI results with fMRI estimates of misrouting in a subset of participants.

Main Results:

  • Detected significant group differences in chiasmal crossing for both DT and CSD tractograms.
  • AUC measures indicated strong discriminative power for DT (0.61) and CSD (0.75).
  • dMRI and fMRI estimates of crossing strengths were significantly correlated for CSD (R²=0.83).

Conclusions:

  • Streamline filtering combined with optimized probabilistic tracking improves the detection of optic chiasm crossing.
  • CSD-based tractography is an efficient approach for detecting structural abnormalities in the optic chiasm.
  • This study presents a novel anatomy-driven approach for individualized diagnostics of optic chiasm abnormalities.