Literature DB >> 15523705

High-field magnetic resonance imaging of brain iron: birth of a biomarker?

John F Schenck1, Earl A Zimmerman.   

Abstract

The brain has an unusually high concentration of iron, which is distributed in an unusual pattern unlike that in any other organ. The physiological role of this iron and the reasons for this pattern of distribution are not yet understood. There is increasing evidence that several neurodegenerative diseases are associated with altered brain iron metabolism. Understanding these dysmetabolic conditions may provide important information for their diagnosis and treatment. For many years the iron distribution in the human brain could be studied effectively only under postmortem conditions. This situation was changed dramatically by the finding that T2-weighted MR imaging at high field strength (initially 1.5 T) appears to demonstrate the pattern of iron distribution in normal brains and that this imaging technique can detect changes in brain iron concentrations associated with disease states. Up to the present time this imaging capability has been utilized in many research applications but it has not yet been widely applied in the routine diagnosis and management of neurodegenerative disorders. However, recent advances in the basic science of brain iron metabolism, the clinical understanding of neurodegenerative diseases and in MRI technology, particularly in the availability of clinical scanners operating at the higher field strength of 3 T, suggest that iron-dependent MR imaging may soon provide biomarkers capable of characterizing the presence and progression of important neurological disorders. Such biomarkers may be of crucial assistance in the development and utilization of effective new therapies for Alzheimer's and Parkinson's diseases, multiple sclerosis and other iron-related CNS disorders which are difficult to diagnose and treat. Copyright (c) 2004 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 15523705     DOI: 10.1002/nbm.922

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  101 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.  A torque balance measurement of anisotropy of the magnetic susceptibility in white matter.

Authors:  Peter van Gelderen; Hendrik Mandelkow; Jacco A de Zwart; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2014-11-14       Impact factor: 4.668

3.  A calorie-restricted diet decreases brain iron accumulation and preserves motor performance in old rhesus monkeys.

Authors:  Erik K Kastman; Auriel A Willette; Christopher L Coe; Barbara B Bendlin; Kris J Kosmatka; Donald G McLaren; Guofan Xu; Elisa Canu; Aaron S Field; Andrew L Alexander; Mary Lou Voytko; T Mark Beasley; Ricki J Colman; Richard H Weindruch; Sterling C Johnson
Journal:  J Neurosci       Date:  2010-06-09       Impact factor: 6.167

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 present and the future of neuroimaging in amyotrophic lateral sclerosis.

Authors:  F Agosta; A Chiò; M Cosottini; N De Stefano; A Falini; M Mascalchi; M A Rocca; V Silani; G Tedeschi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-01       Impact factor: 3.825

6.  Prediction of longitudinal brain atrophy in multiple sclerosis by gray matter magnetic resonance imaging T2 hypointensity.

Authors:  Robert A Bermel; Srinivas R Puli; Richard A Rudick; Bianca Weinstock-Guttman; Elizabeth Fisher; Frederick E Munschauer; Rohit Bakshi
Journal:  Arch Neurol       Date:  2005-09

Review 7.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

8.  Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis.

Authors:  M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

9.  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

10.  Signal intensity of motor and sensory cortices on T2-weighted and FLAIR images: intraindividual comparison of 1.5T and 3T MRI.

Authors:  Koji Kamada; Shingo Kakeda; Norihiro Ohnari; Junji Moriya; Toru Sato; Yukunori Korogi
Journal:  Eur Radiol       Date:  2008-07-19       Impact factor: 5.315

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