Literature DB >> 15707789

Fast spectroscopic imaging strategies for potential applications in fMRI.

Robert V Mulkern1, Nan-kuei Chen, Koichi Oshio, Lawrence P Panych, Frank J Rybicki, Giulio Gambarota.   

Abstract

Technical aspects of two general fast spectroscopic imaging (SI) strategies, one based on gradient echo trains and the other on spin echo trains, are reviewed within the context of potential applications in the field of functional magnetic resonance imaging (fMRI). Fast spectroscopic imaging of water may prove useful for identifying mechanisms underlying the blood oxygenation level dependence (BOLD) of the water signal during brain activation studies. Reasonably rapid mapping of changes in proton signals from brain metabolites, like lactate, creatine or even neurotransmitter associated metabolites like GABA, is substantially more challenging but technically feasible particularly as higher field strengths become available. Fast spectroscopic methods directed towards the 31P signals from phosphocreatine (PCr) and adenosine tri-phosphates (ATP) are also technically feasible and may prove useful for studying cerebral energetics within fMRI contexts.

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Year:  2004        PMID: 15707789     DOI: 10.1016/j.mri.2004.10.011

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

Review 1.  Proton MR spectroscopy of the brain at 3 T: an update.

Authors:  Alfonso Di Costanzo; Francesca Trojsi; Michela Tosetti; Timo Schirmer; Silke M Lechner; Teresa Popolizio; Tommaso Scarabino
Journal:  Eur Radiol       Date:  2007-01-18       Impact factor: 5.315

2.  Single Voxel Proton Spectroscopy for Neurofeedback at 7 Tesla.

Authors:  Yury Koush; Mark A Elliott; Klaus Mathiak
Journal:  Materials (Basel)       Date:  2011-09       Impact factor: 3.623

3.  Comparison of real-time water proton spectroscopy and echo-planar imaging sensitivity to the BOLD effect at 3 T and at 7 T.

Authors:  Yury Koush; Mark A Elliott; Frank Scharnowski; Klaus Mathiak
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

  3 in total

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