The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Age-related glutamate and glutamine concentration changes in normal human brain: 1H MR spectroscopy study at 4 T
Open accessAbstract
Proton magnetic resonance spectroscopy was performed at 4 T to determine effects of age, region and gender on glutamate and glutamine in the normal human brain. Furthermore, glutamate and glutamine alterations with age were tested for correlations with other cerebral metabolites. Two 8 cm3 volumes were selected in corona radiata and mesial motor cortex in normal subjects (N = 24) between 24 and 68 years old. Older subjects had lower glutamate concentration in the motor cortex compared to younger subjects (p < 0.001). In corona radiata, older subjects demonstrated a trend in higher glutamine compared to younger subjects (p = 0.05). Glutamate in the motor cortex was positively correlated with glutamine, N-acetyl aspartate and creatine. Reduced glutamate and N-acetyl aspartate in the motor cortex is consistent with neuronal loss/shrinkage with age. In conclusion, different patterns in association with normal aging in these brain regions were detected in this study.
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“There is evidence though that glutamate changes with age in the healthy brain.20”
From Glutamate in Schizophrenia: A Focused Review and Meta-Analysis of 1H-MRS Studies (2013) · cites this paper as [20]
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“It has beensuggested that glutamatelevelsdecrease with age in healthyindividuals, 20”
From Glutamate in Schizophrenia: A Focused Review and Meta-Analysis of 1H-MRS Studies (2013) · cites this paper as [20]
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Citations
Cites
Proton NMR chemical shifts and coupling constants for brain metabolites
Govindaraju, V., Young, K., & Maudsley, A. A. (2000) · NMR in Biomedicine · doi:10.1002/1099-1492(200005)13:3 · Cited by 1,695
Automatic quantitation of localized in vivo1H spectra with LCModel
Provencher, S. W. (2001) · NMR in Biomedicine · doi:10.1002/nbm.698 · Cited by 1,640
Basic Neurochemistry: Molecular, Cellular, and Medical Aspects
Siegel, G. J., & Agranoff, B. W. (1989) · Cited by 1,359
Glutamine Synthetase: Glial Localization in Brain
Martinez-Hernandez, A., Bell, K. P., & Norenberg, M. D. (1977) · Science · doi:10.1126/science.14400 · Cited by 1,183
In vivo1H NMR spectroscopy of rat brain at 1 ms echo time
Tk�?, I., uk, Z. S., Choi, I., & Rolf Gruetter, A. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199904)41:4 · Cited by 1,024
Proton nuclear magnetic resonance spectroscopy unambiguously identifies different neural cell types
Urenjak, J., Williams, S. R., Gadian, D. G., & Noble, M. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-03-00981.1993 · Cited by 995
Multinuclear NMR Studies on the Energy Metabolism of Glial and Neuronal Cells
Brand, A., Richter‐Landsberg, C., & Leibfritz, D. (1994) · Developmental Neuroscience · doi:10.1159/000111347 · Cited by 889
Anatomical organization of excitatory amino acid receptors and their pathways
Cotman, C. W., Monaghan, D. T., Ottersen, O. P., & Storm‐Mathisen, J. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90172-x · Cited by 875
The sensitivity of the zeugmatographic experiment involving human samples
Hoult, D. I., & Lauterbur, P. C. (1979) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(79)90019-2 · Cited by 798
Computer Simulations in Magnetic Resonance. An Object-Oriented Programming Approach
Smith, S. A., Levante, T. O., Meier, B. H., & Ernst, R. R. (1994) · Journal of Magnetic Resonance Series A · doi:10.1006/jmra.1994.1008 · Cited by 711
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Sengmany, K., & Gregory, K. J. (2017) · Neuromethods · doi:10.1007/978-1-4939-7228-9_8 · Cited by 2
Saha, S., Chakraborty, P., Naskar, A., Roy, D., & Banerjee, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.27.534486 · Cited by 2
Kolkovsky, A. L. L. (2015) · theses.fr (ABES) · doi:10.70675/c061f233zbe0az4d69zb807z67f79b1aea35 · Cited by 2
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Pradhan, N., Kumar, M., Sandhya, M., Bairwa, P., Prathyusha, P. V., Raghavendra, K., Viswanathan, L. G., Asranna, A., Mundlamuri, R. C., Deelchand, D. K., et al. (2025) · Epilepsy Research · doi:10.1016/j.eplepsyres.2025.107625 · Cited by 1
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Baig, A., Tanveer, J., Rubeen, R., Shakoor, S., Khan, K. M., & Fatima-Shad, K. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1011417 · Cited by 2
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Yoshihara, Y., Suwa, T., Kubota, M., Hatakoshi, M., Kyuragi, Y., Near, J., Dehghani, M., Urayama, S., Okada, T., & Murai, T. (2026) · NeuroImage Clinical · doi:10.1016/j.nicl.2026.104018 · Cited by 1
Normal regional variations: brain development and aging
Barker, P. B., Bizzi, A., Stefano, N. D., Gullapalli, R. P., & Lin, D. D. M. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511770647.005 · Cited by 1
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Mason, G. F., Jiang, L., & Behar, K. L. (2014) · Neuromethods · doi:10.1007/978-1-4939-1059-5_13 · Cited by 1
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Reith, W. (2005) · Der Radiologe · doi:10.1007/s00117-005-1192-3 · Cited by 1
Immune Responses in HIV Infection, Alcoholism, and Aging: A Neuroimaging Perspective
Zahr, N. M., Manning-Bog, A., Alt, C., Sullivan, E. V., & Adolf Pfefferbaum, A. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4729-0_14
Alpert, P. T. (2012) · Home Health Care Management & Practice · doi:10.1177/1084822312466869
Selective Review of Proton Magnetic Resonance Spectroscopy in Schizophrenia
Rao, N. P. (2014) · NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)
Rusiak, K. (2016) · Bangor University Research Portal (Bangor University)
Sandini, T. M. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.9.2017.tde-17072017-175123
Talyansky, S. D., & Brinkman, B. A. W. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.06.896324
Chatterjee, S., & Chakraborti, S. (2020) · Saudi Journal of Biomedical Research · doi:10.36348/sjbr.2020.v05i01.002
Pharmacology of a novel biased allosteric modulator for NMDA receptors
Kwapisz, L. C. (2021) · VTechWorks (Virginia Tech)
Butts, R. (2013) · Scholar Commons (University of South Carolina)
Current Awareness in NMR in Biomedicine
(2005) · NMR in Biomedicine · doi:10.1002/nbm.1012
Glial Cells in Alzheimer’s Disease
Verkerke, M. L. (2023) · Utrecht University Repository (Utrecht University) · doi:10.33540/1838
Mechanisms of Thai medicinal plant extracts on the attenuation of glutamate-mediated neurotoxicity
Prasansuklab, A. (2017) · Chula Digiverse · doi:10.58837/chula.the.2017.156
Evaluation of pain using in vivo magnetic resonance in a clinical scanner
Watson, J. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.245722
Burnyasheva, A. O., Stefanova, N. A., Kolosova, N. G., & Telegina, D. V. (2023) · Biochemistry (Moscow) · doi:10.31857/s0320972523120023
Wang, L., Oliver, E. I., D’Urso, D. L., Graziano, B., & Bianchi, L. K. (2025) · Science Advances · doi:10.1126/sciadv.ady1027
Detcheverry, F. E., Senthil, S., Arnaoutelis, R., Antel, S. B., Assemlal, H.-E., Karimaghaloo, Z., Arnold, D. L., Near, J., Narayanan, S., & Badhwar, A. (2025) · medRxiv · doi:10.1101/2025.10.19.25338308
Perrillat-Mercerot, A. (2019) · theses.fr (ABES) · doi:10.70675/23336f3ez752cz41c6zbef8ze2ac8b1d4980
Étude des mécanismes sous-jacents au déficit de navigation spatiale au cours du vieillissement
Courtes, M. (2021) · theses.fr (ABES) · doi:10.70675/947b1de8z0429z434ezbf97z16e00e3b7f1a
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Moseley, R. R., Hatolkar, V., Wingerson, M. J., Breedlove, K. M., Smulligan, K. L., Wilson, J. C., Lin, A. P., & Howell, D. R. (2026) · Journal of Child Neurology · doi:10.1177/08830738261450260
Group Differences of Multiregion Glutamate Concentration in Clinical High Risk and Schizophrenia
Man, S. K., Blasco, M. B., Alemi, R., Raminfard, S., Rusjan, P., Near, J., Sarpal, D. K., & Mizrahi, R. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70626
Kürtös, Z., Orsi, G., Perlaki, G., Czéh, B., & Nagy, S. A. (2026) · Research Square · doi:10.21203/rs.3.rs-10775591/v1
Sánchez-Moreno, B., Gramuntell, Y., Klimczak, P., Bäcker, E., Nácher, J., & Gilabert‐Juan, J. (2026) · The Journal of Comparative Neurology · doi:10.1002/cne.70217
Weng, G., Radojewski, P., Sheriff, S., Hakim, A., Zubak, I., Kaesmacher, J., & Slotboom, J. (2026) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2026.108185
Metadata
- Authors
- Kaiser, L. G., Schuff, N., Cashdollar, N., & Weiner, M. W.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Kaiser, Lana G.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 26
- Issue
- 5
- Pages
- 665-672
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2443746
- OpenAlex
- W1998855584
- Cited by
- 251
- References
- 43
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 15 · 2023: 12 · 2022: 14 · 2021: 16 · 2020: 13 · 2019: 14 · 2018: 14 · 2017: 18 · 2016: 10 · 2015: 19 · 2014: 22 · 2013: 10 · 2012: 11
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (P50AG023501)
- National Institute of Neurological Disorders and Stroke (R01 NS 30321, F32 NS43153, F32NS043153)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- glutamate, glutamine, brain aging, normal human brain, motor cortex, corona radiata, N-acetylaspartate, creatine, brain metabolites, neuronal loss, age-related changes, 1H NMR
- MeSH terms
- Adult, Aged, Aging, Analysis of Variance, Aspartic Acid, Brain Chemistry, Creatine, Female, Glutamine, Humans, Male, Middle Aged, Motor Cortex, Magnetic Resonance Spectroscopy, Protons, Statistics as Topic, Glutamic Acid
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