Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
404-02-002 ISMRM Abstract

Aging alters the brain’s metabolic response to intense exercise: evidence from edited 1H-MR spectroscopy

Primary: Contrast Mechanisms - Spectroscopy
Secondary: Neuro - Aging
404-02-002 · Altered Metabolism Across Healthy Aging and Neurological Disorders · Tuesday, 12 May, 8:20 AM–10:10 AM · Ballroom East
Keywords: Aging MRS Exercise Lactate Gamma-aminobutyric acid
Accepted
Lisa C Krishnamurthy 1,2, Muhammad G Saleh3,4,5, Anastasia Bohsali6, Elizabeth Krupinski1, Joe R Nocera2,7, Keith M McGregor2,8, Tom S Novak2,7, Kevin M Mammino2, Venkatagiri Krishnamurthy2,9,10
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, United States of America
2Research Service Line, Department of Veterans Affairs, United States of America
3University of Pennsylvania, Philadelphia, United States of America
4Children's Hospital of Philadelphia, Philadelphia, United States of America
5Radiology, Children's Hospital of Philadelphia, Philadelphia, United States of America
6TReNDS Center, Georgia State University, Atlanta, United States of America
7Department of Neurology, Emory University School of Medicine, Atlanta, United States of America
8Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham, United States of America
9Medicine, Emory University, Atlanta, United States of America
10Department of Medicine, Emory University School of Medicine, Atlanta, United States of America
Presenting Author: Lisa C Krishnamurthy

Synopsis

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References

1. 1. van Hall, G., et al., Blood Lactate is an Important Energy Source for the Human Brain. Journal of Cerebral Blood Flow & Metabolism, 2009. 29(6): p. 1121-1129.
2. 2. Coxon, J.P., et al., GABA concentration in sensorimotor cortex following high-intensity exercise and relationship to lactate levels. The Journal of Physiology, 2018. 596(4): p. 691-702.
3. 3. Marjańska, M., et al., Brain dynamic neurochemical changes in dystonic patients: A magnetic resonance spectroscopy study. Movement Disorders, 2013. 28(2): p. 201-209.
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5. 5. Provencher, S.W., Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magnetic resonance in medicine, 1993. 30(6): p. 672-679.
6. 6. Soher, B.J., et al., Vespa: Integrated applications for RF pulse design, spectral simulation and MRS data analysis. Magn Reson Med, 2023. 90(3): p. 823-838.
7. 7. Harris, A.D., N.A. Puts, and R.A. Edden, Tissue correction for GABA-edited MRS: Considerations of voxel composition, tissue segmentation, and tissue relaxations. J Magn Reson Imaging, 2015. 42(5): p. 1431-40.
8. 8. Near, J., et al., Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations. NMR in Biomedicine, 2021. 34(5): p. e4257.
9. 9. Madan, A., et al., Proton T2 measurement and quantification of lactate in brain tumors by MRS at 3 Tesla in vivo. Magn Reson Med, 2015. 73(6): p. 2094-9.
10. 10. Landheer, K., et al., A rapid inversion technique for the measurement of longitudinal relaxation times of brain metabolites: application to lactate in high-grade gliomas at 3 T. NMR in Biomedicine, 2016. 29(10): p. 1381-1390.
11. 11. Lu, H., et al., Routine clinical brain MRI sequences for use at 3.0 Tesla. J Magn Reson Imaging, 2005. 22(1): p. 13-22.
12. 12. Jiang, D., et al., Quantification of T1 and T2 of subarachnoid CSF: Implications for water exchange between CSF and brain tissues. Magnetic Resonance in Medicine, 2023. 90(6): p. 2411-2419.
13. 13. Lu, H., et al., Novel approach to the measurement of absolute cerebral blood volume using vascular-space-occupancy magnetic resonance imaging. Magnetic Resonance in Medicine, 2005. 54(6): p. 1403-1411.
14. 14. Shaul, M.E., et al., Cerebral Blood Volume and Vasodilation are Independently Diminished by Aging and Hypertension: A Near Infrared Spectroscopy Study. Journal of Alzheimer’s Disease, 2014. 42(s3): p. S189-S198.
15. 15. Patel, A.B., et al., The contribution of GABA to glutamate/glutamine cycling and energy metabolism in the rat cortex in vivo. Proceedings of the National Academy of Sciences, 2005. 102(15): p. 5588-5593.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/404-02-002