Literature DB >> 9055227

Estimating NAA in cortical gray matter with applications for measuring changes due to aging.

K O Lim1, D M Spielman.   

Abstract

N-acetylaspartic acid (NAA), a prominent peak in the proton spectrum, is an amino acid thought to be present almost exclusively in neurons and their dendritic and axonal extensions. While 1H MRS studies are showing promise in identifying NAA deficits in different patient groups, unwanted lipid signal from subcutaneous fat surrounding the skull, and necessarily large voxels have limited investigators' ability to assess NAA in cortical gray matter. Here we report a technique developed to derive estimates of NAA signal from cortical gray matter. This approach uses an inversion recovery imaging pulse sequence with a long TE to suppress lipid signal from the scalp and information from concurrently obtained structural MR images to determine the CSF, white and gray matter composition of each spectroscopic voxel. A regression analysis is then used to estimate what NAA levels would be in "pure" white and gray matter voxels. This technique has been applied to demonstrate reduced NAA gray/white levels in the brains of five healthy older compared with five healthy younger women.

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Year:  1997        PMID: 9055227     DOI: 10.1002/mrm.1910370313

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  23 in total

1.  Region and tissue differences of metabolites in normally aged brain using multislice 1H magnetic resonance spectroscopic imaging.

Authors:  N Schuff; F Ezekiel; A C Gamst; D L Amend; A A Capizzano; A A Maudsley; M W Weiner
Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

2.  Improved reconstruction for MR spectroscopic imaging.

Authors:  Yufang Bao; Andrew A Maudsley
Journal:  IEEE Trans Med Imaging       Date:  2007-05       Impact factor: 10.048

3.  Robust analysis of short echo time (1)H MRSI of human brain.

Authors:  X P Zhu; K Young; A Ebel; B J Soher; L Kaiser; G Matson; W M Weiner; N Schuff
Journal:  Magn Reson Med       Date:  2006-03       Impact factor: 4.668

4.  Longitudinal Functional Models with Structured Penalties.

Authors:  Madan G Kundu; Jaroslaw Harezlak; Timothy W Randolph
Journal:  Stat Modelling       Date:  2016-02-17       Impact factor: 2.039

5.  Development and aging of the cerebrum: assessment with proton MR spectroscopy.

Authors:  T Kadota; T Horinouchi; C Kuroda
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

6.  Regional differences and metabolic changes in normal aging of the human brain: proton MR spectroscopic imaging study.

Authors:  E Angelie; A Bonmartin; A Boudraa; P M Gonnaud; J J Mallet; D Sappey-Marinier
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

7.  Method to correlate 1H MRSI and 18FDG-PET.

Authors:  J O'Neill; J L Eberling; N Schuff; W Jagust; B Reed; G Soto; F Ezekiel; G Klein; M W Weiner
Journal:  Magn Reson Med       Date:  2000-02       Impact factor: 4.668

8.  Whole brain N-acetylaspartate concentration is conserved throughout normal aging.

Authors:  William E Wu; Achim Gass; Lidia Glodzik; James S Babb; Jochen Hirsch; Marc Sollberger; Lutz Achtnichts; Michael Amann; Andreas U Monsch; Oded Gonen
Journal:  Neurobiol Aging       Date:  2012-01-14       Impact factor: 4.673

9.  Age-related metabolite changes and volume loss in the hippocampus by magnetic resonance spectroscopy and imaging.

Authors:  N Schuff; D L Amend; R Knowlton; D Norman; G Fein; M W Weiner
Journal:  Neurobiol Aging       Date:  1999 May-Jun       Impact factor: 4.673

10.  Region-specific effects on brain metabolites of hypoxia and hyperoxia overlaid on cerebral ischemia in young and old rats: a quantitative proton magnetic resonance spectroscopy study.

Authors:  Maria A Macri; Nicola D'Alessandro; Camillo Di Giulio; Patrizia Di Iorio; Silvano Di Luzio; Patricia Giuliani; Ennio Esposito; Mieczyslaw Pokorski
Journal:  J Biomed Sci       Date:  2010-02-23       Impact factor: 8.410

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