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Scientific article
English

Handling macromolecule signals in the quantification of the neurochemical profile

Contributors

Cudalbu, Cristina; Mlynárik, Vladimir; Gruetter, Rolf

Published in

Journal of Alzheimer's disease, vol. 31 Suppl 3, p. S101-115

Publication date

2012

Abstract

In vivo localized proton magnetic resonance spectroscopy (1H MRS) became a powerful and unique technique to non-invasively investigate brain metabolism of rodents and humans. The main goal of 1H MRS is the reliable quantification of concentrations of metabolites (neurochemical profile) in a well-defined region of the brain. The availability of very high magnetic field strengths combined with the possibility of acquiring spectra at very short echo time have dramatically increased the number of constituents of the neurochemical profile. The quantification of spectra measured at short echo times is complicated by the presence of macromolecule signals of particular importance at high magnetic fields. An error in the macromolecule estimation can lead to substantial errors in the obtained neurochemical profile. The purpose of the present review is to overview methods of high field 1H MRS with a focus on the metabolite quantification, in particular in handling signals of macromolecules. Three main approaches of handling signals of macromolecules are described, namely mathematical estimation of macromolecules, measurement of macromolecules in vivo, and direct acquisition of the in vivo spectrum without the contribution of macromolecules.

Keywords

  • Algorithms
  • Brain Chemistry/physiology
  • Electromagnetic Fields
  • Humans
  • Macromolecular Substances/chemistry
  • Magnetic Resonance Imaging
  • Magnetic Resonance Spectroscopy/methods
  • Models, Statistical

UNIGE affiliation entities

UNIGE research groups

Citation (ISO format)

CUDALBU, Cristina, MLYNÁRIK, Vladimir, GRUETTER, Rolf. Handling macromolecule signals in the quantification of the neurochemical profile. In: Journal of Alzheimer’s disease, 2012, vol. 31 Suppl 3, p. S101–115. doi: 10.3233/JAD-2012-120100

Identifiers

Journal ISSN

1387-2877
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Technical informations

Creation

12/12/2013 07:00:00

First validation

12/12/2013 07:00:00

Update

14/03/2023 20:49:35

Status update

14/03/2023 20:49:35

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