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dc.contributor.authorPfefferbaum, Adolf
dc.contributor.authorAdalsteinsson, Elfar
dc.contributor.authorRohlfing, Torsten
dc.contributor.authorSullivan, Edith V.
dc.date.accessioned2015-11-04T13:55:20Z
dc.date.available2015-11-04T13:55:20Z
dc.date.issued2009-05
dc.date.submitted2009-05
dc.identifier.issn10538119
dc.identifier.issn1095-9572
dc.identifier.urihttp://hdl.handle.net/1721.1/99702
dc.description.abstractDifferent brain structures accumulate iron at different rates throughout the adult life span. Typically, striatal and brain stem structures are higher in iron concentrations in older than younger adults, whereas cortical white matter and thalamus have lower concentrations in the elderly than young adults. Brain iron can be measured in vivo with MRI by estimating the relaxivity increase across magnetic field strengths, which yields the Field-Dependent Relaxation Rate Increase (FDRI) metric. The influence of local iron deposition on susceptibility, manifests as MR phase effects, forms the basis for another approach for iron measurement, Susceptibility-Weighted Imaging (SWI), for which imaging at only one field strength is sufficient. Here, we compared the ability of these two methods to detect and quantify brain iron in 11 young (5 men, 6 women; 21 to 29 years) and 12 elderly (6 men, 6 women; 64 to 86 years) healthy adults. FDRI was acquired at 1.5 T and 3.0 T, and SWI was acquired at 1.5 T. The results showed that both methods detected high globus pallidus iron concentration regardless of age and significantly greater iron in putamen with advancing age. The SWI measures were more sensitive when the phase signal intensities themselves were used to define regions of interest, whereas FDRI measures were robust to the method of region of interest selection. Further, FDRI measures were more highly correlated than SWI iron estimates with published postmortem values and were more sensitive than SWI to iron concentration differences across basal ganglia structures. Whereas FDRI requires more imaging time than SWI, two field strengths, and across-study image registration for iron concentration calculation, FDRI appears more specific to age-dependent accumulation of non-heme brain iron than SWI, which is affected by heme iron and non-iron source effects on phase.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant AG017919)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant AA005965)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant AA017168)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.neuroimage.2009.05.006en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleMRI estimates of brain iron concentration in normal aging: Comparison of field-dependent (FDRI) and phase (SWI) methodsen_US
dc.typeArticleen_US
dc.identifier.citationPfefferbaum, Adolf, Elfar Adalsteinsson, Torsten Rohlfing, and Edith V. Sullivan. “MRI Estimates of Brain Iron Concentration in Normal Aging: Comparison of Field-Dependent (FDRI) and Phase (SWI) Methods.” NeuroImage 47, no. 2 (August 2009): 493–500.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorAdalsteinsson, Elfaren_US
dc.relation.journalNeuroImageen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsPfefferbaum, Adolf; Adalsteinsson, Elfar; Rohlfing, Torsten; Sullivan, Edith V.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7637-2914
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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