Papers

Peer-reviewed
Aug, 2017

Magnetic Resonance Imaging of Neurotransmitter-Related Molecules

JOURNAL OF NIPPON MEDICAL SCHOOL
  • Hironaka Igarashi
  • ,
  • Satoshi Ueki
  • ,
  • Ken Ohno
  • ,
  • Masaki Ohkubo
  • ,
  • Yuji Suzuki

Volume
84
Number
4
First page
160
Last page
164
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1272/jnms.84.160
Publisher
MEDICAL ASSOC NIPPON MEDICAL SCH

Molecular imaging implies the method capable of pictorially displaying distribution of target molecules and their relative concentration in space. In clinical medicine, where non-invasiveness is mandatory, diagnostic molecular imaging has been considered virtually identical to positron emission tomography (PET). However, there is another powerful, apparently underutilized molecular imaging, namely, proton magnetic resonance spectroscopic imaging (H-1-MRSI). The technique can detect target molecules endogenous in brain in virtue of their own specific resonance frequencies (chemical shift) and can create quantitative images of each molecule. H-1-MRSI is conventionally utilized for imaging relatively easily detectable molecules such as N-acetyl-aspartate or lactate. More recently, however, the method is extended into imaging of more challenging molecules such as glutamate or gamma-aminobutyric acid (GABA). In this small review, we summarize basic concept of H-1-MRSI and introduce an advanced technique, i.e. chemical exchange saturation transfer magnetic resonance imaging (CEST MRI), which made realistic glutamate imaging in vivo possible.

Link information
DOI
https://doi.org/10.1272/jnms.84.160
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28978895
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000412794900002&DestApp=WOS_CPL
URL
https://www.jstage.jst.go.jp/article/jnms/84/4/84_160/_pdf/-char/en
ID information
  • DOI : 10.1272/jnms.84.160
  • ISSN : 1345-4676
  • eISSN : 1347-3409
  • Pubmed ID : 28978895
  • Web of Science ID : WOS:000412794900002

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