Literature DB >> 16649206

Principles of magnetic resonance assessment of brain function.

David G Norris1.   

Abstract

MRI has advanced to being one of the major tools for the assessment of brain function. This review article examines the basic principles that underpin these measurements. The main emphasis is on the characteristics and detection of blood oxygen level dependent (BOLD) contrast. In the first part of the article the relationship between BOLD, blood flow, blood oxygen, and the rate of metabolic consumption of oxygen is described. The four contrast mechanisms that contribute to the BOLD signal change, namely extravascular static and dynamic dephasing, intravascular T2-like changes, and the intravascular frequency offset effect are described in terms of their spatial localization and relative contributions to the BOLD signal. The current model of changes in blood flow being an indirect consequence of synaptic input to a region is presented. The second section of the article deals with the imaging characteristics of BOLD in terms of the attainable spatial resolution and linear system characteristics. In the third section, practical BOLD imaging is examined for choice of pulse sequence, resolution, echo time (TE), repetition time (TR), and flip angle. The final section touches on other MRI approaches that are relevant to cognitive neuroimaging, in particular the measurement of blood flow, blood volume, resting state fluctuations in the BOLD signal, and measures of connectivity using diffusion tensor imaging and fiber-tracking. Copyright 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16649206     DOI: 10.1002/jmri.20587

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  41 in total

1.  Investigation of unmedicated early onset restless legs syndrome by voxel-based morphometry, T2 relaxometry, and functional MR imaging during the night-time hours.

Authors:  P N Margariti; L G Astrakas; S G Tsouli; G M Hadjigeorgiou; S Konitsiotis; M I Argyropoulou
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

2.  Clinical utility of cerebrovascular reactivity mapping in patients with low grade gliomas.

Authors:  Jay J Pillai; Domenico Zacá
Journal:  World J Clin Oncol       Date:  2011-12-10

Review 3.  Magnetic resonance perfusion imaging without contrast media.

Authors:  Petros Martirosian; Andreas Boss; Christina Schraml; Nina F Schwenzer; Hansjörg Graf; Claus D Claussen; Fritz Schick
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

4.  Unconscious activation of the cognitive control system in the human prefrontal cortex.

Authors:  Hakwan C Lau; Richard E Passingham
Journal:  J Neurosci       Date:  2007-05-23       Impact factor: 6.167

5.  High-resolution fMRI maps of cortical activation in nonhuman primates: correlation with intrinsic signal optical images.

Authors:  Anna W Roe; Li M Chen
Journal:  ILAR J       Date:  2008

Review 6.  Advances in magnetic resonance neuroimaging.

Authors:  Michael E Moseley; Chunlei Liu; Sandra Rodriguez; Thomas Brosnan
Journal:  Neurol Clin       Date:  2009-02       Impact factor: 3.806

7.  Direct estimation of evoked hemoglobin changes by multimodality fusion imaging.

Authors:  Theodore J Huppert; Solomon G Diamond; David A Boas
Journal:  J Biomed Opt       Date:  2008 Sep-Oct       Impact factor: 3.170

Review 8.  Magnetic resonance imaging methodology.

Authors:  Ewald Moser; Andreas Stadlbauer; Christian Windischberger; Harald H Quick; Mark E Ladd
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03       Impact factor: 9.236

9.  Three dimensional echo-planar imaging at 7 Tesla.

Authors:  B A Poser; P J Koopmans; T Witzel; L L Wald; M Barth
Journal:  Neuroimage       Date:  2010-02-06       Impact factor: 6.556

10.  Determination of neural fiber connections based on data structure algorithm.

Authors:  Dilek Göksel Duru; Mehmed Ozkan
Journal:  Comput Intell Neurosci       Date:  2009-12-22
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