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Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
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Structural network topology relates to tissue properties in multiple sclerosis.

Svenja Kiljan1, Kim A Meijer2, Martijn D Steenwijk2,3

  • 1Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, Amsterdam UMC, Location VU University Medical Center, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands. s.kiljan@vumc.nl.

Journal of Neurology
|November 24, 2018
PubMed
Summary

Brain network abnormalities in multiple sclerosis (MS) correlate with neuroaxonal degeneration. Macro-scale MRI measures may reflect micro-scale changes in neuronal size and axonal density in MS patients.

Keywords:
Axonal densityHistopathologyIntegrationNeuronal sizePost-mortem MRISegregation

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Radiology

Background:

  • Multiple sclerosis (MS) is characterized by abnormalities in brain network segregation and integration.
  • These network alterations are linked to clinical dysfunction in MS patients.

Purpose of the Study:

  • To investigate the micro-scale tissue properties that correlate with macro-scale brain network measures in multiple sclerosis.
  • To explore the relationship between structural network topology and neuroaxonal integrity at the micro-scale.

Main Methods:

  • Post-mortem diffusion tensor imaging (DTI) and graph theory were used to derive macro-scale structural network topology from eight MS patients.
  • Measures included clustering coefficient (segregation) and white matter (WM) fiber length (integration).
  • Micro-scale tissue properties (neuronal size, density; axonal density; total cell density) were assessed via immunohistochemistry in thirty-three cortical tissue blocks.

Main Results:

  • A negative correlation was observed between clustering coefficient and WM fiber length.
  • Higher clustering coefficient correlated with smaller neuronal size and lower axonal density.
  • Increased white matter lesion load in MS was associated with higher clustering, shorter fiber length, smaller neuronal size, and lower axonal density.

Conclusions:

  • Macro-scale MRI-derived structural network properties are associated with micro-scale neuroaxonal integrity (neuronal size, axonal density).
  • These findings suggest that macro-scale network measures may capture cortical neuroaxonal degeneration in multiple sclerosis.