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Parametric mapping using spectral analysis for 11C-PBR28 PET reveals neuroinflammation in mild cognitive impairment

Zhen Fan1, Melanie Dani1, Grazia D Femminella1

  • 1Department of Medicine, Neurology Imaging Unit, Imperial College London, London, W12 0NN, UK.

European Journal of Nuclear Medicine and Molecular Imaging
|March 11, 2018
PubMed
Abstract

Insights

Spectral analysis successfully detected microglial activation in subjects with amnestic mild cognitive impairment (MCI) using 11C-PBR28 PET imaging. This method enables individual subject analysis for neuroinflammation assessment in MCI.

Area of Science:

  • Neuroimaging
  • Molecular Imaging
  • Neuroscience

Background:

  • Neuroinflammation and microglial activation are key factors in amnestic mild cognitive impairment (MCI) and Alzheimer's disease.
  • Quantifying neuroinflammation in MCI requires advanced imaging techniques for accurate assessment.

Purpose of the Study:

  • To investigate the spatial distribution of neuroinflammation in MCI subjects using spectral analysis (SA) for 11C-PBR28 PET quantification.
  • To compare SA-based quantification with traditional compartmental and kinetic models.
  • To assess the utility of SA for detecting microglial activation in individual MCI patients.

Main Methods:

  • Thirteen MCI patients and nine healthy controls underwent 11C-PBR28 PET scans with arterial input function.
  • Spectral analysis (SA) was employed to generate parametric maps of 11C-PBR28 uptake.
  • SA-derived maps were compared with results from two-tissue compartment models and Logan graphic analysis; amyloid load was also assessed.

Main Results:

  • SA identified three component peaks, with the 90-min impulse response function (IRF) yielding the lowest coefficient of variation.
  • Single-subject analysis using IRF parametric maps revealed microglial activation in 5/7 amyloid-positive MCI subjects.
  • Group-wise analysis showed increased neuroinflammation in amyloid-positive MCI subjects in cortical areas, particularly the temporal lobe; compartmental analysis detected thalamic binding increases, while Logan analysis performed poorly.

Conclusions:

  • Spectral analysis is a viable method for generating parametric maps of 11C-PBR28 uptake, effectively detecting microglial activation in amyloid-positive MCI.
  • IRF parametric maps derived from SA facilitate voxel-wise, single-subject analysis.
  • This approach holds potential for evaluating microglial activation in individual MCI subjects.
Keywords:
11C–PBR28Compartmental modellingLogan graphic analysisMCIPETSpectral analysis

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