Literature DB >> 19442747

MRI estimates of brain iron concentration in normal aging: comparison of field-dependent (FDRI) and phase (SWI) methods.

Adolf Pfefferbaum1, Elfar Adalsteinsson, Torsten Rohlfing, Edith V Sullivan.   

Abstract

Different 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.

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Year:  2009        PMID: 19442747      PMCID: PMC2755237          DOI: 10.1016/j.neuroimage.2009.05.006

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA.

Authors:  Y Wang; Y Yu; D Li; K T Bae; J J Brown; W Lin; E M Haacke
Journal:  J Magn Reson Imaging       Date:  2000-11       Impact factor: 4.813

Review 2.  Magnetic resonance imaging of brain iron.

Authors:  John F Schenck
Journal:  J Neurol Sci       Date:  2003-03-15       Impact factor: 3.181

3.  Brain iron deposition in Parkinson's disease imaged using the PRIME magnetic resonance sequence.

Authors:  J M Graham; M N Paley; R A Grünewald; N Hoggard; P D Griffiths
Journal:  Brain       Date:  2000-12       Impact factor: 13.501

Review 4.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

5.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

6.  T1 and T2 in the cerebrum: correlation with age, gender, and demographic factors.

Authors:  R K Breger; F Z Yetkin; M E Fischer; R A Papke; V M Haughton; A A Rimm
Journal:  Radiology       Date:  1991-11       Impact factor: 11.105

7.  Relevance of Iron Deposition in Deep Gray Matter Brain Structures to Cognitive and Motor Performance in Healthy Elderly Men and Women: Exploratory Findings.

Authors:  Edith V Sullivan; Elfar Adalsteinsson; Torsten Rohlfing; Adolf Pfefferbaum
Journal:  Brain Imaging Behav       Date:  2009-06-01       Impact factor: 3.978

8.  Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain.

Authors:  E Mark Haacke; Muhammad Ayaz; Asadullah Khan; Elena S Manova; Bharani Krishnamurthy; Lakshman Gollapalli; Carlo Ciulla; I Kim; Floyd Petersen; Wolff Kirsch
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

9.  Characterizing the mesencephalon using susceptibility-weighted imaging.

Authors:  E S Manova; C A Habib; A S Boikov; M Ayaz; A Khan; W M Kirsch; D K Kido; E M Haacke
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-26       Impact factor: 3.825

10.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

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  76 in total

1.  Differential effects of age and history of hypertension on regional brain volumes and iron.

Authors:  Karen M Rodrigue; E Mark Haacke; Naftali Raz
Journal:  Neuroimage       Date:  2010-10-20       Impact factor: 6.556

2.  Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths.

Authors:  Adolf Pfefferbaum; Torsten Rohlfing; Margaret J Rosenbloom; Edith V Sullivan
Journal:  Neuroimage       Date:  2012-01-26       Impact factor: 6.556

3.  Susceptibility-weighted imaging in patients with pyogenic brain abscesses at 1.5T: characteristics of the abscess capsule.

Authors:  P H Lai; H C Chang; T C Chuang; H W Chung; J Y Li; M J Weng; J H Fu; P C Wang; S C Li; H B Pan
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-26       Impact factor: 3.825

4.  The role of hippocampal iron concentration and hippocampal volume in age-related differences in memory.

Authors:  Karen M Rodrigue; Ana M Daugherty; E Mark Haacke; Naftali Raz
Journal:  Cereb Cortex       Date:  2012-05-29       Impact factor: 5.357

Review 5.  The emerging role of iron dyshomeostasis in the mitochondrial decay of aging.

Authors:  Jinze Xu; Emanuele Marzetti; Arnold Y Seo; Jae-Sung Kim; Tomas A Prolla; Christiaan Leeuwenburgh
Journal:  Mech Ageing Dev       Date:  2010-04-29       Impact factor: 5.432

Review 6.  [Principles and applications of susceptibility weighted imaging].

Authors:  F T Kurz; M Freitag; H-P Schlemmer; M Bendszus; C H Ziener
Journal:  Radiologe       Date:  2016-02       Impact factor: 0.635

7.  Targeting Iron Dyshomeostasis for Treatment of Neurodegenerative Disorders.

Authors:  Niels Bergsland; Eleonora Tavazzi; Ferdinand Schweser; Dejan Jakimovski; Jesper Hagemeier; Michael G Dwyer; Robert Zivadinov
Journal:  CNS Drugs       Date:  2019-11       Impact factor: 5.749

8.  Letter to the editor: Brain iron mapping using MRI relaxation rate or R₂* revisited.

Authors:  Khader M Hasan; Indika S Walimuni; Ponnada A Narayana
Journal:  Hum Brain Mapp       Date:  2011-08-05       Impact factor: 5.038

9.  Distribution of brain iron accrual in adolescence: Evidence from cross-sectional and longitudinal analysis.

Authors:  Eric T Peterson; Dongjin Kwon; Beatriz Luna; Bart Larsen; Devin Prouty; Michael D De Bellis; James Voyvodic; Chunlei Liu; Wei Li; Kilian M Pohl; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Hum Brain Mapp       Date:  2018-11-29       Impact factor: 5.038

10.  Effects of Age, Gender and Hemispheric Location on T2 Hypointensity in the Pulvinar at 3T.

Authors:  Matthew L White; Yan Zhang; Jason T Helvey; Fang Yu; Matthew F Omojola
Journal:  Neuroradiol J       Date:  2014-12-01
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