ArticleHuman brain mapping2015
Validation of tractography: Comparison with manganese tracing.
Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
64 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diffusion Tensor Imaging-Based Studies at the Group-Level Applied to Animal Models of Neurodegenerative Diseases.Frontiers in neuroscience · 2020Pooled it
- Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.Journal of magnetic resonance imaging : JMRI · 2020Pooled it
- Alterations of White Matter Connectivity in Adults with Essential Hypertension.International journal of general medicine · 2024Trial
- Evolution of the frontal aslant tract and implications for primate vocalization and human speech.Nature communications · 2026Article
- Bridging Histology and Tractography: First In Vivo Visualization of Short-Range Prefrontal Connections Informed by Primate Tract-Tracing.Human brain mapping · 2026Article
- How accurate is probabilistic tractography when used to predict the "sweet spot" in deep brain stimulation? Mind the gap!Acta neurochirurgica · 2025Article
- Bridging Histology and Tractography: First Visualization of the Short-Range Prefrontal Connections in the Human Brain.bioRxiv : the preprint server for biology · 2025Article
- Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3-Ex vivo imaging: Data processing, comparisons with microscopy, and tractography.Magnetic resonance in medicine · 2025Review
- The scientific value of tractography: accuracy vs usefulness.Brain structure & function · 2025Article
- The exponential distance rule-based network model predicts topology and reveals functionally relevant properties of theNetwork neuroscience (Cambridge, Mass.) · 2025Article
- Beyond the surface: howFrontiers in neuroscience · 2024Review
- Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- In vivo probabilistic atlas of white matter tracts of the human subthalamic area combining track density imaging and optimized diffusion tractography.Brain structure & function · 2022Article
- Diffusion Tensor Imaging as a Prognostic Tool for Recovery in Acute and Hyperacute Stroke.Neurology international · 2022Review
- Review
- Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography.Human brain mapping · 2022Article
- Uncovering Cortical Units of Processing From Multi-Layered Connectomes.Frontiers in neuroscience · 2022Article
- Investigating secondary white matter degeneration following ischemic stroke by modelling affected fiber tracts.NeuroImage. Clinical · 2022Article
- Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we used invasive tracing to evaluate white matter tractography methods based on ex vivo diffusion-weighted magnetic resonance imaging (dwMRI) data. A representative selection of tractography methods were compared to manganese tracing on a voxel-wise basis, and a more qualitative assessment examined whether, and to what extent, certain fiber tracts and gray matter targets were reached. While the voxel-wise agreement was very limited, qualitative assessment revealed that tractography is capable of finding the major fiber tracts, although there were some differences between the methods. However, false positive connections were very common and, in particular, we discovered that it is not possible to achieve high sensitivity (i.e., few false negatives) and high specificity (i.e., few false positives) at the same time. Closer inspection of the results led to the conclusion that these problems mainly originate from regions with complex fiber arrangements or high curvature and are not easily resolved by sophisticated local models alone. Instead, the crucial challenge in making tractography a truly useful and reliable tool in brain research and neurology lies in the acquisition of better data. In particular, the increase of spatial resolution, under preservation of the signal-to-noise-ratio, is key.
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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.