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Cited by 19Multiple Sclerosis Research StudiesCell Image Analysis TechniquesMedical Image Segmentation Techniques

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3d Virtual Histology Reveals Pathological Alterations of Cerebellar Granule Cells in Multiple Sclerosis

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Frost, Jakob, Schmitzer, Bernhard, Töpperwien, Mareike, Eckermann, Marina, Franz, Jonas, Stadelmann, Christine, Salditt, Tim·2023·Neuroscience
DOI 10.1016/j.neuroscience.2023.04.002

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Abstract

We investigate structural properties of neurons in the granular layer of human cerebellum with respect to their involvement in multiple sclerosis (MS). To this end we analyze data recorded by X-ray phase contrast tomography from tissue samples collected post mortem from a MS and a healthy control group. Using automated segmentation and histogram analysis based on optimal transport theory (OT) we find that the distributions representing nuclear structure in the granular layer move to a more compact nuclear state, i.e. smaller, denser and more heterogeneous nuclei in MS. We have previously made a similar observation for neurons of the dentate gyrus in Alzheimer's disease, suggesting that more compact structure of neuronal nuclei which we attributed to increased levels of heterochromatin, may possibly represent a more general phenomenon of cellular senescence associated with neurodegeneration.

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Research works printed but not linked: 38

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Metadata

Authors
Frost, J., Schmitzer, B., Töpperwien, M., Eckermann, M., Franz, J., Stadelmann, C., & Salditt, T.
Affiliations
  • University of Göttingen (DE)
  • Universitätsmedizin Göttingen (DE)
  • Multiscale Bioimaging (DE)
Corresponding author
Salditt, Tim
ORCID
Venue
Neuroscience
Publisher
Elsevier BV
Published
2023-06
Volume
520
Pages
18-38
ISSN
0306-4522 (ISSN-L)
DOI
10.1016/j.neuroscience.2023.04.002
OpenAlex
W4365459590
Cited by
19
References
1
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 2
FWCI
3.78
Type
journal article
Language
en
Open access
Licence
Locations
  • Neuroscience (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
Funders
Deutsche Forschungsgemeinschaft (CRC 1456/ A03, EXC 2067/1\u2013390729940, CRC 274/1, 408885537 B01, SFB 1456/ INF)
Topics
  • Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
multiple sclerosis, cerebellar granule cells, granular layer, heterochromatin, cellular senescence, neurodegeneration, X-ray phase-contrast tomography, virtual histology, optimal transport, automatic segmentation, postmortem brain
MeSH terms
Alzheimer Disease, Cerebellum, Humans, Multiple Sclerosis, Neurons, Cellular Senescence

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