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A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis.

Carmen Tur1, Francesco Grussu2, Ferran Prados3

  • 1Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London (UCL), London, UK.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|May 11, 2019
PubMed
Summary
This summary is machine-generated.

Multi-shell diffusion imaging reveals altered brain connectivity in early multiple sclerosis (MS) patients with clinically isolated syndrome (CIS). These advanced metrics better detect microstructural damage and cognitive decline than standard methods.

Keywords:
Diffusion-weighted imagingclinically isolated syndromemulti-shell acquisitionsmulti-shell multi-tissue constrained spherical deconvolutionmultiple sclerosistractography

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Area of Science:

  • Neuroimaging
  • Diffusion MRI
  • Connectomics

Background:

  • The diagnostic potential of multi-shell diffusion imaging for assessing brain connectivity in multiple sclerosis (MS) remains underexplored.
  • Investigating advanced diffusion imaging techniques is crucial for understanding early neuropathological changes.

Purpose of the Study:

  • To evaluate if multi-shell imaging metrics can distinguish clinically isolated syndrome (CIS) patients from healthy controls.
  • To determine if these metrics correlate with clinical assessments and outperform conventional single-shell protocols.

Main Methods:

  • Acquisition of multi-shell diffusion-weighted images from 19 CIS patients and 12 controls.
  • Estimation of voxel-wise fiber orientation distribution functions and network metrics.
  • Comparison of multi-shell metrics against single-shell metrics and cognitive assessments.

Main Results:

  • CIS patients exhibited significantly lower nodal strength and higher network modularity compared to controls.
  • Increased network modularity correlated with poorer cognitive performance, independent of lesion load.
  • Multi-shell derived connectivity metrics demonstrated superior performance over single-shell metrics.

Conclusions:

  • Brain connectivity, specifically nodal strength and network modularity, is significantly altered in the early stages of MS (CIS).
  • Elevated network modularity in CIS patients indicates microstructural damage and has clinical relevance, correlating with cognitive function.
  • Multi-shell diffusion imaging provides sensitive detection of network alterations in early MS, offering valuable insights into disease progression.