Neuroanatomical correlates of prion disease progression - a 3T longitudinal voxel-based morphometry study

Enrico De Vita1, Gerard R Ridgway2, Mark J White1

  • 1Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH Hospitals NHS Foundation Trust, Box 65, Queen Square, London WC1N 3BG, United Kingdom; Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, Queen Square, London WC1N 3BG, United Kingdom.

Neuroimage. Clinical
|December 13, 2016
PubMed
Abstract

Insights

This study used longitudinal MRI and VBM to identify brain regions with progressive atrophy in prion disease patients. Atrophy in specific areas like the basal ganglia and hippocampus correlated with clinical decline, aiding future trial endpoints.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for diagnosing prion diseases.
  • Limited longitudinal MRI studies exist, often using summary measures.
  • Voxel-based morphometry (VBM) offers a detailed approach to track brain changes.

Purpose of the Study:

  • To conduct the first longitudinal VBM study in prion disease.
  • To characterize progressive brain atrophy in prion disease patients.
  • To correlate brain structure changes with clinical assessment.

Main Methods:

  • 24 prion disease patients and 25 controls underwent serial 3T MRI scans.
  • Longitudinal VBM analyzed progressive grey and white matter volume changes.
  • Clinical progression was assessed using the MRC Prion Disease Rating Scale.

Main Results:

  • Significant grey and white matter volume loss correlated with decreased MRC Scale scores.
  • Key affected regions included basal ganglia, thalamus, pons, medulla, hippocampus, and superior parietal lobules.
  • Rates of volume loss in patients were significantly higher than in controls in these regions.

Conclusions:

  • Longitudinal VBM identified key brain regions of progressive atrophy in prion disease.
  • These regions strongly correlate with clinical disease severity and deterioration.
  • Identifying these areas can inform targeted imaging endpoints for future clinical trials.

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