ArticleHuman brain mapping2021
Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 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
- Article
- RGVPSeg: multimodal information fusion network for retinogeniculate visual pathway segmentation.Medical & biological engineering & computing · 2025Article
- Quality and efficiency of a semi-automatic anatomy-based method for tractography of associative white matter fascicles in brain tumor patients, a case series.Neurosurgical review · 2025Article
- Advancing neuro-ophthalmic diagnostics: a multimodal imaging approach integrating OCT angiography and AI-enhanced MRI for improved visual pathway analysis.Frontiers in neurology · 2025Article
- Cerebello-Cerebral Pathways Contribute to Written Word Production.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Tractography-Based Automated Identification of Retinogeniculate Visual Pathway With Novel Microstructure-Informed Supervised Contrastive Learning.Human brain mapping · 2024Article
- Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024Review
- Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods.Human brain mapping · 2023Article
- Computational approaches for the reconstruction of optic nerve fibers along the visual pathway from medical images: a comprehensive review.Frontiers in neuroscience · 2023Review
- Diffusion phantom study of fiber crossings at varied angles reconstructed with ODF-Fingerprinting.Computational diffusion MRI. CDMRI (Workshop) · 2023Article
- Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber's Hereditary Optic Neuropathy.International journal of environmental research and public health · 2022Article
- Automatic oculomotor nerve identification based on data-driven fiber clustering.Human brain mapping · 2022Article
- Predictive Radiation Oncology - A New NCI-DOE Scientific Space and Community.Radiation research · 2022Article
- Advanced Diffusion MRI of the Visual System in Glaucoma: From Experimental Animal Models to Humans.Biology · 2022Review
- Automation of Cranial Nerve Tractography by Filtering Tractograms for Skull Base Surgery.Frontiers in neuroimaging · 2022Article
- Visualization of human optic nerve by diffusion tensor mapping and degree of neuropathy.PloS one · 2022Article
- Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI.Human brain mapping · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
The retinogeniculate visual pathway (RGVP) conveys visual information from the retina to the lateral geniculate nucleus. The RGVP has four subdivisions, including two decussating and two nondecussating pathways that cannot be identified on conventional structural magnetic resonance imaging (MRI). Diffusion MRI tractography has the potential to trace these subdivisions and is increasingly used to study the RGVP. However, it is not yet known which fiber tracking strategy is most suitable for RGVP reconstruction. In this study, four tractography methods are compared, including constrained spherical deconvolution (CSD) based probabilistic (iFOD1) and deterministic (SD-Stream) methods, and multi-fiber (UKF-2T) and single-fiber (UKF-1T) unscented Kalman filter (UKF) methods. Experiments use diffusion MRI data from 57 subjects in the Human Connectome Project. The RGVP is identified using regions of interest created by two clinical experts. Quantitative anatomical measurements and expert anatomical judgment are used to assess the advantages and limitations of the four tractography methods. Overall, we conclude that UKF-2T and iFOD1 produce the best RGVP reconstruction results. The iFOD1 method can better quantitatively estimate the percentage of decussating fibers, while the UKF-2T method produces reconstructed RGVPs that are judged to better correspond to the known anatomy and have the highest spatial overlap across subjects. Overall, we find that it is challenging for current tractography methods to both accurately track RGVP fibers that correspond to known anatomy and produce an approximately correct percentage of decussating fibers. We suggest that future algorithm development for RGVP tractography should take consideration of both of these two points.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.