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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Magnetic Resonance Imaging Microstructural Abnormalities in Multiple System Atrophy: A Comprehensive

Jacopo Pasquini1,2, Michael J Firbank3, Roberto Ceravolo2,4

  • 1Clinical Ageing Research Unit, Newcastle University, Newcastle upon Tyne, United Kingdom.

Movement Disorders : Official Journal of the Movement Disorder Society
|August 29, 2022
PubMed
Summary
This summary is machine-generated.

Diffusion MRI reveals widespread brain abnormalities in Multiple System Atrophy (MSA), aiding in diagnosis and understanding disease progression. Advanced techniques show promise for clinical use in differentiating MSA from Parkinson's disease.

Keywords:
diffusionmagnetic resonance imagingmultiple system atrophy

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Area of Science:

  • Neuroimaging
  • Neurodegenerative Diseases
  • Diffusion Magnetic Resonance Imaging (dMRI)

Background:

  • Multiple System Atrophy (MSA) is a rare neurodegenerative disorder.
  • Characterized by autonomic failure, ataxia, and parkinsonism.
  • Pathological changes in MSA can be studied using dMRI.

Purpose of the Study:

  • To review literature on dMRI applications in MSA.
  • To describe microstructural abnormalities, diagnostic uses, and pathophysiological links.
  • To assess the clinical translation potential of dMRI advancements.

Main Methods:

  • Systematic review of 64 studies using dMRI for microstructural investigation in MSA.
  • Analysis of white matter and gray matter abnormalities.
  • Evaluation of dMRI's role in differential diagnosis and clinical correlates.

Main Results:

  • Widespread white matter abnormalities identified, particularly in the middle cerebellar peduncle, corticospinal tract, and hemispheric fibers.
  • Gray matter degeneration observed, notably in the putamina.
  • Machine learning algorithms show high diagnostic accuracy for MSA classification.

Conclusions:

  • dMRI effectively identifies in vivo pathological changes in MSA.
  • Advancements in dMRI, especially with machine learning, show potential for clinical differential diagnosis of MSA.
  • Early-stage diagnosis and understanding pathophysiological correlates remain challenges.