MRI-scale histology validates spatial sensitivity of in-vivo MRI-based axon radius estimation

Abstract The axon radius holds promise as a clinical MRI biomarker for neurological disorders. However, in-vivo MRI estimation appears infeasible on clinical scanners and lacks experimental validation. Crucially, existing histology is only sparsely sampled, enabling primarily qualitative assessment. Here, we use large-scale human brain histology, sampling 46 million axons across 35 corpus callosum regions with MRI-like sizes. By demonstrating a significant spatial correlation with histology on an advanced research scanner, we provide quantitative proof that MRI radius estimates reflect underlying microstructure—a critical milestone. The next milestone—translation to clinical scanners—appears feasible with now-available high-gradient systems according to simulations, but would require substantial SNR gains. Yet, we also identify a sensitivity bottleneck in current modeling that may offer a complementary path to improved sensitivity through future modeling advances. Overall, we provide promising evidence for the validity of MRI-based axon radius estimation and identify challenges that must be solved for clinical adoption.

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Publication Details

Journal
Imaging Neuroscience
Published
2025-01-01
DOI
https://doi.org/10.1162/imag.a.1030
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

MRI-scale histology validates spatial sensitivity of in-vivo MRI-based axon radius estimation

Henriette Rusch, Tobias Streubel, Ludger Starke, Nikolaus Weiskopf et al.
Imaging Neuroscience
Advanced Neuroimaging Techniques and Applications
article

MRI-scale histology validates spatial sensitivity of in-vivo MRI-based axon radius estimation

Henriette Rusch, Tobias Streubel, Ludger Starke, Nikolaus Weiskopf, Francisco J. Fritz, Andreas Pohlmann, Carsten Jäger, Thomas Gladytz, Markus Morawski, Klaus Püschel, Mohammad Ashtarayeh, Luke Edwards, João Periquito, Björn Fricke, Herbert Mushumba, Laurin Mordhorst, Thoralf Niendorf, Siawoosh Mohammadi, Maria Morozova, Ehsan Tasbihi
article en

Abstract

Abstract The axon radius holds promise as a clinical MRI biomarker for neurological disorders. However, in-vivo MRI estimation appears infeasible on clinical scanners and lacks experimental validation. Crucially, existing histology is only sparsely sampled, enabling primarily qualitative assessment. Here, we use large-scale human brain histology, sampling 46 million axons across 35 corpus callosum regions with MRI-like sizes. By demonstrating a significant spatial correlation with histology on an advanced research scanner, we provide quantitative proof that MRI radius estimates reflect underlying microstructure—a critical milestone. The next milestone—translation to clinical scanners—appears feasible with now-available high-gradient systems according to simulations, but would require substantial SNR gains. Yet, we also identify a sensitivity bottleneck in current modeling that may offer a complementary path to improved sensitivity through future modeling advances. Overall, we provide promising evidence for the validity of MRI-based axon radius estimation and identify challenges that must be solved for clinical adoption.

Imaging NeuroscienceVol. 3
Universität Hamburg (DE), Wellcome Centre for Human Neuroimaging (GB), Max Delbrück Center (DE), Maastricht University (NL), University Medical Center Hamburg-Eppendorf (DE), Max Planck Institute for Human Development (DE), Max Planck Institute for Human Cognitive and Brain Sciences (DE), National Hospital for Neurology and Neurosurgery (GB), University College London (GB), Charité - Universitätsmedizin Berlin (DE), Leipzig University (DE), University of Lübeck (DE)
European Commission, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 52%
Advanced Neuroimaging Techniques and Applications
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