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As such it can be viewed as the\n                    <jats:sup>2<\/jats:sup>\n                    H counterpart to more traditional\n                    <jats:sup>13<\/jats:sup>\n                    C labeling methods that can be considered the gold standard for metabolic mapping in\u00a0vivo. To ensure reliable findings from dynamic\n                    <jats:sup>2<\/jats:sup>\n                    H MRSI experiments about absolute metabolic flux rates after administration of a\n                    <jats:sup>2<\/jats:sup>\n                    H\u2010labeled substrate it is essential to take into account\n                    <jats:sup>2<\/jats:sup>\n                    H\u2010specific aspects, namely\n                    <jats:sup>2<\/jats:sup>\n                    H label losses and kinetic isotopy effects (KIEs). Here, a modified version of a\n                    <jats:sup>13<\/jats:sup>\n                    C\u2010based metabolic model for glucose metabolism in rat brain was developed to address these\n                    <jats:sup>2<\/jats:sup>\n                    H\u2010related effects, tested for\n                    <jats:sup>2<\/jats:sup>\n                    H MRSI data acquired during infusion of [6,6'\u2010\n                    <jats:sup>2<\/jats:sup>\n                    H\n                    <jats:sub>2<\/jats:sub>\n                    ]\u2010glucose, and validated by comparison with indirect\n                    <jats:sup>1<\/jats:sup>\n                    H\u2010[\n                    <jats:sup>13<\/jats:sup>\n                    C] MRSI data acquired during infusion of [1\u2010\n                    <jats:sup>13<\/jats:sup>\n                    C]\u2010glucose. The flux rates for glucose consumption (CMR\n                    <jats:sub>gl<\/jats:sub>\n                    \u2009=\u20090.57\u2009\u00b1\u20090.08\u2009\u03bcmol\/min\/g) and the TCA cycle (V\n                    <jats:sub>tca<\/jats:sub>\n                    \u2009=\u20091.24\u2009\u00b1\u20090.14\u2009\u03bcmol\/min\/g) derived from the\n                    <jats:sup>2<\/jats:sup>\n                    H MRSI data and using the updated metabolic model were in excellent agreement with the estimates based on\n                    <jats:sup>13<\/jats:sup>\n                    C data (CMR\n                    <jats:sub>gl<\/jats:sub>\n                    \u2009=\u20090.59\u2009\u00b1\u20090.14\u2009\u03bcmol\/min\/g and V\n                    <jats:sub>tca<\/jats:sub>\n                    \u2009=\u20091.24\u2009\u00b1\u20090.32\u2009\u03bcmol\/min\/g). The successful validation of dynamic\n                    <jats:sup>2<\/jats:sup>\n                    H MRSI for absolute flux rate determination forms the basis for future quantitative study of metabolic disorders in\u00a0vivo.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70194","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T00:49:52Z","timestamp":1765414192000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Validation of Dynamic Deuterium Metabolic Imaging (DMI) for the Measurement of Cerebral Metabolic Rates of Glucose in Rat"],"prefix":"10.1002","volume":"39","author":[{"given":"Claudius\u00a0S.","family":"Mathy","sequence":"first","affiliation":[{"name":"Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center Yale University  New Haven Connecticut USA"},{"name":"Institute of Physical and Theoretical Chemistry University of Bonn  Bonn 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