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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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Synchrotron XRF imaging of Alzheimer's disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration. / Finnegan, M.E.; Visanji, N.P.; Romero-Canelon, I. et al.
In: Journal of Neuroscience Methods, Vol. 319, 01.05.2019, p. 28-39.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Finnegan, ME, Visanji, NP, Romero-Canelon, I, House, E, Rajan, S, Mosselmans, JFW, Hazrati, L-N, Dobson, J & Collingwood, JF 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, vol. 319, pp. 28-39. https://doi.org/10.1016/j.jneumeth.2019.03.002

APA

Finnegan, M. E., Visanji, N. P., Romero-Canelon, I., House, E., Rajan, S., Mosselmans, J. F. W., Hazrati, L-N., Dobson, J., & Collingwood, J. 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, 28-39. https://doi.org/10.1016/j.jneumeth.2019.03.002

Vancouver

Finnegan ME, Visanji NP, Romero-Canelon I, House E, Rajan S, Mosselmans JFW et al. 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. 2019 May 1;319:28-39. Epub 2019 Mar 6. doi: 10.1016/j.jneumeth.2019.03.002

Author

Finnegan, M.E. ; Visanji, N.P. ; Romero-Canelon, I. et al. / Synchrotron XRF imaging of Alzheimer's disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration. In: Journal of Neuroscience Methods. 2019 ; Vol. 319. pp. 28-39.

Bibtex

@article{2113b8ba87dc492694fcb6512a61f8f6,
title = "Synchrotron XRF imaging of Alzheimer's disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration",
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 R 2 , R 2 * and R 2 {\textquoteright} on iron at 9.4 T, for both disease and control, as follows: [R 2 (s −1 ) = 0.072[Fe] + 20]; [R 2 *(s −1 ) = 0.34[Fe] + 37]; [R 2 {\textquoteright}(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. {\textcopyright} 2019 The Authors",
keywords = "Alzheimer's, Imaging, Iron, MRI, Relaxometry, Synchrotron, X-ray fluorescence",
author = "M.E. Finnegan and N.P. Visanji and I. Romero-Canelon and E. House and S. Rajan and J.F.W. Mosselmans and L.-N. Hazrati and J. Dobson and J.F. Collingwood",
year = "2019",
month = may,
day = "1",
doi = "10.1016/j.jneumeth.2019.03.002",
language = "English",
volume = "319",
pages = "28--39",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Synchrotron XRF imaging of Alzheimer's disease basal ganglia reveals linear dependence of high-field magnetic resonance microscopy on tissue iron concentration

AU - Finnegan, M.E.

AU - Visanji, N.P.

AU - Romero-Canelon, I.

AU - House, E.

AU - Rajan, S.

AU - Mosselmans, J.F.W.

AU - Hazrati, L.-N.

AU - Dobson, J.

AU - Collingwood, J.F.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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 R 2 , R 2 * and R 2 ’ on iron at 9.4 T, for both disease and control, as follows: [R 2 (s −1 ) = 0.072[Fe] + 20]; [R 2 *(s −1 ) = 0.34[Fe] + 37]; [R 2 ’(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. © 2019 The Authors

AB - 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 R 2 , R 2 * and R 2 ’ on iron at 9.4 T, for both disease and control, as follows: [R 2 (s −1 ) = 0.072[Fe] + 20]; [R 2 *(s −1 ) = 0.34[Fe] + 37]; [R 2 ’(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. © 2019 The Authors

KW - Alzheimer's

KW - Imaging

KW - Iron

KW - MRI

KW - Relaxometry

KW - Synchrotron

KW - X-ray fluorescence

U2 - 10.1016/j.jneumeth.2019.03.002

DO - 10.1016/j.jneumeth.2019.03.002

M3 - Journal article

VL - 319

SP - 28

EP - 39

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

ER -