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Synchrotron XRF imaging of Alzheimer’s disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration
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Finnegan, Mary E., Visanji, Naomi P., Romero-Canelon, Isolda, House, Emily, Rajan, Surya, Mosselmans, Frederick W., Hazrati, Lili-Naz, Dobson, Jon and Collingwood, Joanna F. (2019) Synchrotron XRF imaging of Alzheimer’s disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration. Journal of Neuroscience Methods, 319 . pp. 28-39. doi:10.1016/j.jneumeth.2019.03.002 ISSN 0165-0270.
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Official URL: http://dx.doi.org/10.1016/j.jneumeth.2019.03.002
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.
Item Type: | Journal Article | ||||||||||||||||||||||||||||||
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Subjects: | R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry | ||||||||||||||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Alzheimer's disease -- Research | ||||||||||||||||||||||||||||||
Journal or Publication Title: | Journal of Neuroscience Methods | ||||||||||||||||||||||||||||||
Publisher: | Elsevier BV | ||||||||||||||||||||||||||||||
ISSN: | 0165-0270 | ||||||||||||||||||||||||||||||
Official Date: | 1 May 2019 | ||||||||||||||||||||||||||||||
Dates: |
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Volume: | 319 | ||||||||||||||||||||||||||||||
Page Range: | pp. 28-39 | ||||||||||||||||||||||||||||||
DOI: | 10.1016/j.jneumeth.2019.03.002 | ||||||||||||||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||||||||||||||
Date of first compliant deposit: | 28 March 2019 | ||||||||||||||||||||||||||||||
Date of first compliant Open Access: | 28 March 2019 | ||||||||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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