ArticleNeuroImage2016
Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed.
- The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.Brain sciences · 2026Article
- Validation of structure tensor analysis for orientation estimation in brain tissue microscopy.Journal of neuroscience methods · 2025Article
- Rethinking tractography and neuroanatomy: does image resolution hold the key?Brain structure & function · 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
- Article
- Validation of Structure Tensor Analysis for Orientation Estimation in Brain Tissue Microscopy.bioRxiv : the preprint server for biology · 2025Article
- An algorithmic and software framework to incorporate orientation distribution functions in finite element simulations for biomechanics and biophysics.Acta biomaterialia · 2025Article
- White Matter Tract Crossing and Bottleneck Regions in the Fetal Brain.Human brain mapping · 2025Article
- Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality.Biological psychiatry · 2024Article
- White matter tract crossing and bottleneck regions in the fetal brain.bioRxiv : the preprint server for biology · 2024Article
- Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Biophysical modeling and diffusion kurtosis imaging reveal microstructural alterations in normal-appearing white-matter regions of the brain in obstructive sleep apnea.Sleep advances : a journal of the Sleep Research Society · 2024Article
- The neural substrates of transdiagnostic cognitive-linguistic heterogeneity in primary progressive aphasia.Alzheimer's research & therapy · 2023Article
- Using light and X-ray scattering to untangle complex neuronal orientations and validate diffusion MRI.eLife · 2023Article
- Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI.Diagnostics (Basel, Switzerland) · 2023Article
- Using mesoscopic tract-tracing data to guide the estimation of fiber orientation distributions in the mouse brain from diffusion MRI.NeuroImage · 2023Article
- Deep Constrained Spherical Deconvolution for Robust Harmonization.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Review
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The ability of diffusion MRI (dMRI) fiber tractography to non-invasively map three-dimensional (3D) anatomical networks in the human brain has made it a valuable tool in both clinical and research settings. However, there are many assumptions inherent to any tractography algorithm that can limit the accuracy of the reconstructed fiber tracts. Among them is the assumption that the diffusion-weighted images accurately reflect the underlying fiber orientation distribution (FOD) in the MRI voxel. Consequently, validating dMRI's ability to assess the underlying fiber orientation in each voxel is critical for its use as a biomedical tool. Here, using post-mortem histology and confocal microscopy, we present a method to perform histological validation of orientation functions in 3D, which has previously been limited to two-dimensional analysis of tissue sections. We demonstrate the ability to extract the 3D FOD from confocal z-stacks, and quantify the agreement between the MRI estimates of orientation information obtained using constrained spherical deconvolution (CSD) and the true geometry of the fibers. We find an orientation error of approximately 6° in voxels containing nearly parallel fibers, and 10-11° in crossing fiber regions, and note that CSD was unable to resolve fibers crossing at angles below 60° in our dataset. This is the first time that the 3D white matter orientation distribution is calculated from histology and compared to dMRI. Thus, this technique serves as a gold standard for dMRI validation studies - providing the ability to determine the extent to which the dMRI signal is consistent with the histological FOD, and to establish how well different dMRI models can predict the ground truth FOD.
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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.