ArticleNeuroImage. Clinical2019
Quantifying nerve decussation abnormalities in the optic chiasm.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Methods of diffusion MRI tractography for localization of the anterior optic pathway: A systematic review of validated methods.NeuroImage. Clinical · 2023Pooled it
- Tractography-Based Automated Identification of Retinogeniculate Visual Pathway With Novel Microstructure-Informed Supervised Contrastive Learning.Human brain mapping · 2024Article
- Visual Performance of People With Albinism Assessed With Generalizable and Adaptive AIM and FInD Methods.Investigative ophthalmology & visual science · 2024Article
- Visual Field Deficits in Albinism in Comparison to Idiopathic Infantile Nystagmus.Investigative ophthalmology & visual science · 2024Article
- Phenotypic Features Determining Visual Acuity in Albinism and the Role of Amblyogenic Factors.Investigative ophthalmology & visual science · 2024Article
- CHIASM-Net: Artificial Intelligence-Based Direct Identification of Chiasmal Abnormalities in Albinism.Investigative ophthalmology & visual science · 2023Article
- Optical Coherence Tomography as a Biomarker for Differential Diagnostics in Nystagmus: Ganglion Cell Layer Thickness Ratio.Journal of clinical medicine · 2022Article
- Normal Retinotopy in Primary Visual Cortex in a Congenital Complete Unilateral Lesion of Lateral Geniculate Nucleus in Human: A Case Study.International journal of molecular sciences · 2022Article
- Ophthalmological Manifestations of Oculocutaneous and Ocular Albinism: Current Perspectives.Clinical ophthalmology (Auckland, N.Z.) · 2022Review
- CHIASM, the human brain albinism and achiasma MRI dataset.Scientific data · 2021Article
- [Neuro-computational approaches for objective assessment of visual function].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021Review
- Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI.Human brain mapping · 2021Article
- Deep Learning-Based Detection of Malformed Optic Chiasms From MRI Images.Frontiers in neuroscience · 2021Article
- The visual white matter connecting human area prostriata and the thalamus is retinotopically organized.Brain structure & function · 2020Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
objectiveThe human optic chiasm comprises partially crossing optic nerve fibers. Here we used diffusion MRI (dMRI) for the in-vivo identification of the abnormally high proportion of crossing fibers found in the optic chiasm of people with albinism.
methodsIn 9 individuals with albinism and 8 controls high-resolution 3T dMRI data was acquired and analyzed with a set of methods for signal modeling [Diffusion Tensor (DT) and Constrained Spherical Deconvolution (CSD)], tractography, and streamline filtering (LiFE, COMMIT, and SIFT2). The number of crossing and non-crossing streamlines and their weights after filtering entered ROC-analyses to compare the discriminative power of the methods based on the area under the curve (AUC). The dMRI results were cross-validated with fMRI estimates of misrouting in a subset of 6 albinotic individuals.
resultsWe detected significant group differences in chiasmal crossing for both unfiltered DT (p = 0.014) and CSD tractograms (p = 0.0009) also reflected by AUC measures (for DT and CSD: 0.61 and 0.75, respectively), underlining the discriminative power of the approach. Estimates of crossing strengths obtained with dMRI and fMRI were significantly correlated for CSD (R
conclusionsEspecially CSD-based tractography provides an efficient approach to detect structural abnormalities in the optic chiasm. The most realistic results were obtained with filtering methods with parameters optimized for the data at hand. SIGNIFICANCE: Our findings demonstrate a novel anatomy-driven approach for the individualized diagnostics of optic chiasm abnormalities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.