Synchrotron XRF imaging of Alzheimer’s disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration

Mary E. Finnegan, Naomi Visanji, Isolda Romero-canelon, Emily House, Surya Rajan, J. Frederick W. Mosselmans, Lili-naz Hazrati, Jon Dobson, Joanna F. Collingwood

Research output: Contribution to journalArticlepeer-review

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Abstract

Background: Chemical imaging of the human brain has great potential for diagnostic and monitoring purposes. The heterogeneity of human brain iron distribution, and alterations to this distribution in Alzheimer’s disease, indicate iron as a potential endogenous marker. The influence of iron on certain magnetic resonance imaging (MRI) parameters increases with magnetic field, but is under-explored in human brain tissues above 7 T.

New Method: Magnetic resonance microscopy at 9.4 T is used to calculate parametric images of chemically-unfixed post-mortem tissue from Alzheimer’s cases (n = 3) and healthy controls (n = 2). Iron-rich regions including caudate nucleus, putamen, globus pallidus and substantia nigra are analysed prior to imaging of total iron distribution with synchrotron X-ray fluorescence mapping. Iron fluorescence calibration is achieved with adjacent tissue blocks, analysed by inductively coupled plasma mass spectrometry or graphite furnace atomic absorption spectroscopy.

Results: Correlated MR images and fluorescence maps indicate linear dependence of R2, R2* and R2’ on iron at 9.4 T, for both disease and control, as follows: [R2(s−1) = 0.072[Fe] + 20]; [R2*(s−1) = 0.34[Fe] + 37]; [R2’(s−1) = 0.26[Fe] + 16] for Fe in μg/g tissue (wet weight).

Comparison with Existing Methods: This method permits simultaneous non-destructive imaging of most bioavailable elements. Iron is the focus of the present study as it offers strong scope for clinical evaluation; the approach may be used more widely to evaluate the impact of chemical elements on clinical imaging parameters.

Conclusion: The results at 9.4 T are in excellent quantitative agreement with predictions from experiments performed at lower magnetic fields.
Original languageEnglish
Pages (from-to)28-39
Number of pages12
JournalJournal of Neuroscience Methods
Volume319
Early online date6 Mar 2019
DOIs
Publication statusPublished - 1 May 2019

Keywords

  • Alzheimer’sImaging
  • Iron
  • MRI
  • Relaxometry
  • Synchrotron
  • X-ray fluorescence
  • Imaging
  • Alzheimer's

ASJC Scopus subject areas

  • Neuroscience(all)

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