Literature DB >> 8637436

In vivo proton magnetic resonance spectroscopy of the normal aging human brain.

L Chang1, T Ernst, R E Poland, D J Jenden.   

Abstract

The effect of age on brain metabolite concentrations was evaluated using localized proton magnetic resonance spectroscopy. This technique allows in vivo measurements of N-acetyl compounds (NA), total creatine (CR), choline-containing compounds (CHO), myo-inositol (MI), glutamate and glutamine (GLX), as well as the percentage of cerebrospinal fluid (CSF) and the brain water content within the brain region studied. Frontal gray matter and frontal white matter brain regions were examined in 36 normal healthy volunteers (19-78 years of age). Using a rigorous absolute quantitation method, with an external reference and atrophy correction, we found relatively stable concentrations of NA, a neuronal marker. In contrast, CR, CHO, MI, and the percentage of CSF increased in the gray matter with age. However, the brain water content decreased significantly with age (r = -0.72; p < 0.0001). No significant age-related changes in metabolite concentrations, CSF or brain water content were observed in the white matter regions. These findings demonstrate that biochemical alterations are associated with aging in the frontal gray matter. There might be an increase in the brain density as indicated by increased metabolite concentrations and decreased brain water content with aging.

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Year:  1996        PMID: 8637436     DOI: 10.1016/0024-3205(96)00197-x

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  68 in total

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Authors:  Uzay E Emir; Susan Raatz; Susan McPherson; James S Hodges; Carolyn Torkelson; Pierre Tawfik; Tonya White; Melissa Terpstra
Journal:  NMR Biomed       Date:  2011-01-12       Impact factor: 4.044

3.  Evaluation of Myo-Inositol as a Potential Biomarker for Depression in Schizophrenia.

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Journal:  Neuropsychopharmacology       Date:  2015-02-27       Impact factor: 7.853

4.  Quantitative MR analyses of the hippocampus: unspecific metabolic changes in aging.

Authors:  András Szentkuti; Sebastian Guderian; Kolja Schiltz; Jörn Kaufmann; Thomas F Münte; Hans-Jochen Heinze; Emrah Düzel
Journal:  J Neurol       Date:  2004-11       Impact factor: 4.849

5.  Age-related morphology trends of cortical sulci.

Authors:  Peter Kochunov; Jean-François Mangin; Thomas Coyle; Jack Lancaster; Paul Thompson; Dennis Rivière; Yann Cointepas; Jean Régis; Anita Schlosser; Don R Royall; Karl Zilles; John Mazziotta; Arthur Toga; Peter T Fox
Journal:  Hum Brain Mapp       Date:  2005-11       Impact factor: 5.038

6.  Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging.

Authors:  A A Maudsley; A Darkazanli; J R Alger; L O Hall; N Schuff; C Studholme; Y Yu; A Ebel; A Frew; D Goldgof; Y Gu; R Pagare; F Rousseau; K Sivasankaran; B J Soher; P Weber; K Young; X Zhu
Journal:  NMR Biomed       Date:  2006-06       Impact factor: 4.044

Review 7.  Differential aging of the brain: patterns, cognitive correlates and modifiers.

Authors:  Naftali Raz; Karen M Rodrigue
Journal:  Neurosci Biobehav Rev       Date:  2006-08-17       Impact factor: 8.989

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

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Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

9.  High-field proton magnetic resonance spectroscopy reveals metabolic effects of normal brain aging.

Authors:  Janna L Harris; Hung-Wen Yeh; Russell H Swerdlow; In-Young Choi; Phil Lee; William M Brooks
Journal:  Neurobiol Aging       Date:  2014-01-23       Impact factor: 4.673

10.  A quantitative meta-analysis of brain glutamate metabolites in aging.

Authors:  David R Roalf; Valerie J Sydnor; Madison Woods; David A Wolk; J Cobb Scott; Ravinder Reddy; Paul J Moberg
Journal:  Neurobiol Aging       Date:  2020-07-21       Impact factor: 4.673

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