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Cited by 327

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Dynamic uncoupling and recoupling of perfusion and oxidative metabolism during focal brain activation in man

Frahm, Jens, Krüger, Gunnar, Merboldt, Klaus‐Dietmar, Kleinschmidt, Andreas·1996·Magnetic Resonance in Medicine

Abstract

Changes in glucose consumption, lactate production, and blood oxygenation were measured during prolonged neuronal activation (4–6 min) in human primary visual cortex using dynamic magnetic resonance spectroscopy and imaging. A decrease of steady‐state glucose by 40% because of enhanced use by 21% was accompanied by a transient accumulation of lactate with a peak value of 170% 2.5 min after stimulation onset Rapid blood hyperoxygenation indicating „uncoupling”︁ of blood flow and oxidative metabolism was followed by a return to basal levels over 3 min. Thus, initial nonoxidative glucose consumption during functional activation is gradually complemented by a slower adjustment of oxidative phosphorylation that „recouples”︁ perfusion and oxygen consumption at a new equilibrium.

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Metadata

Authors
Frahm, J., Krüger, G., Merboldt, K., & Kleinschmidt, A.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1996-02
Volume
35
Issue
2
Pages
143-148
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2042873520
Cited by
327
References
6
FWCI
22.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic uncoupling and recoupling of perfusion and oxidative metabolism during focal brain activation in man. https://app.cochat.ai/papers/10.1002/mrm.1910350202
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Frahm, J., Krüger, G., Merboldt, K., & Kleinschmidt, A. (1996). Dynamic uncoupling and recoupling of perfusion and oxidative metabolism during focal brain activation in man. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910350202

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.