Longitudinal diffusion changes in cerebral hemispheres after MCA infarcts

Frédérique Buffon1, Nicolas Molko, Dominique Hervé

  • 1Department of Neurology, CHU Lariboisière, Université Paris VII, Paris, France.

Insights

Diffusion tensor imaging reveals microstructural changes in the brain after middle cerebral artery (MCA) infarction. These changes occur both near and far from the infarct, indicating widespread tissue modification over time.

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomedical Engineering

Background:

  • Middle cerebral artery (MCA) infarction causes significant brain damage.
  • Diffusion tensor imaging (DTI) is a powerful tool for assessing brain microstructure.
  • Longitudinal studies are crucial for understanding post-infarction recovery and changes.

Purpose of the Study:

  • To investigate longitudinal microstructural changes after MCA infarction using DTI.
  • To assess both regional and remote effects of MCA infarction on brain tissue.
  • To correlate diffusion changes with infarct progression and brain atrophy.

Main Methods:

  • In vivo Diffusion Tensor Imaging (DTI) was performed on nine patients at multiple time points post-MCA infarction (D7, M1, M3, M6).
  • Analysis included histogram analysis of mean diffusivity (MD) and fractional anisotropy (FA) and voxel-wise statistical parametric mapping (SPM).
  • Hemispheric and regional analyses were conducted to identify specific patterns of microstructural alteration.

Main Results:

  • Ipsilateral hemisphere showed decreased FA and increased MD over time.
  • Remote regions, including the thalamus and pyramidal tract, exhibited significant MD and FA changes.
  • Contralateral hemisphere displayed global atrophy and reduced anisotropy without distinct regional diffusion alterations.

Conclusions:

  • DTI can detect longitudinal micro- and macrostructural tissue modifications after MCA infarction.
  • Changes are not limited to the infarct core, extending to remote brain regions.
  • Findings highlight the utility of DTI in characterizing the complex spatiotemporal evolution of brain injury post-stroke.

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