Cited by 161Advanced MRI Techniques and ApplicationsNeuroscience and Neuropharmacology ResearchMetabolomics and Mass Spectrometry Studies

Metabolic and Hemodynamic Events after Changes in Neuronal Activity: Current Hypotheses, Theoretical Predictions and in vivo NMR Experimental Findings

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Mangia, Silvia, Giove, Federico, Tkáč, Ivan, Logothetis, Nikos K, Henry, Pierre-Gilles, Olman, Cheryl A, Maraviglia, Bruno, Di Salle, Francesco +1 more·2009·Journal of Cerebral Blood Flow & Metabolism

Abstract

Unraveling the energy metabolism and the hemodynamic outcomes of excitatory and inhibitory neuronal activity is critical not only for our basic understanding of overall brain function, but also for the understanding of many brain disorders. Methodologies of magnetic resonance spectroscopy (MRS) and magnetic resonance imaging (MRI) are powerful tools for the noninvasive investigation of brain metabolism and physiology. However, the temporal and spatial resolution of in vivo MRS and MRI is not suitable to provide direct evidence for hypotheses that involve metabolic compartmentalization between different cell types, or to untangle the complex neuronal microcircuitry, which results in changes of electrical activity. This review aims at describing how the current models of brain metabolism, mainly built on the basis of in vitro evidence, relate to experimental findings recently obtained in vivo by 1 H MRS, 13 C MRS, and MRI. The hypotheses related to the role of different metabolic substrates, the metabolic neuron—glia interactions, along with the available theoretical predictions of the energy budget of neurotransmission will be discussed. In addition, the cellular and network mechanisms that characterize different types of increased and suppressed neuronal activity will be considered within the sensitivity-constraints of MRS and MRI.

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Crossref · 10.1038/jcbfm.2008.134

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  • The metabolic response to stimulation includes an oxidative component (CMRO2) and a nonoxidative component (lactate accumulation).

    “The metabolic response to stimulation includes an oxidative component, as measured by the cerebral metabolic rate of oxygen (CMRO2), and a nonoxidative component, as reflected by lactate accumulation (Mangia et al., 2009).”

    From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Mangia et al., 2009

    Section B.3 reports both increased oxygen consumption and lactate accumulation during stimulation. But it interprets the observed lactate increase as consistent with increased oxidative metabolism, not as a measure of a nonoxidative component. No page number is available in our copy. (LLM, conf=0.88)

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  • An overall switch toward inhibition is expected to reduce the energy request of the brain, thus impacting on metabolic rates independently of BOLD response.

    “In fact, an overall switch toward inhibition is expected to reduce the energy request of the brain, thus impacting on metabolic rates independently of BOLD response (Mangia et al., 2009).”

    From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as Mangia et al., 2009

    Section F.4 predicts that increased inhibition lowers energy demand in the neocortex and reports a change in lactate response despite a persistent BOLD response. But the claim extends that prediction to the brain generally; section F.2 describes cases in which inhibitory activity increased energy consumption. (LLM, conf=0.85)

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Research works printed but not linked: 2

  1. Du F Zhang Y Friedman M Zhu XH Ugurbil K Chen W Study of correlation between brain activity and ATP metabolic rates by means of 31P magnetization transfer and electroencephalograph measurement 2006 2125 Proceedings Meeting International Society Magnetic Resonance in Medicine Seattle
  2. Raichle ME Neuroscience. The brain’s dark energy Science 2006 314 1249 50 17124311

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Authors
Mangia, S., Giove, F., Tkáč, I., Logothetis, N. K., Henry, P.-G., Olman, C. A., Maraviglia, B., Di Salle, F., & Uğurbil, K.
Affiliations
  • University of Minnesota (US)
  • Centro Ricerche Enrico Fermi (IT)
  • Max Planck Institute for Biological Cybernetics (DE)
  • Department of Neuroscience, University of Pisa, Pisa, Italy
  • Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
Corresponding author
Mangia, Silvia
Venue
Journal of Cerebral Blood Flow & Metabolism
Published
2008-11-12
Volume
29
Issue
3
Pages
441-463
ISSN
  • 0271-678X (ISSN-L)
  • 1559-7016
OpenAlex
W2168128459
Cited by
161
References
197
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 9 · 2021: 3 · 2020: 6 · 2019: 6 · 2018: 11 · 2017: 7 · 2016: 8 · 2015: 8 · 2014: 11 · 2013: 9 · 2012: 19
FWCI
1.97
Type
journal article
Language
en
Open access
Locations
  • Journal of Cerebral Blood Flow & Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
Funders
  • W. M. Keck Foundation
  • National Institutes of Health
  • National Institute of Neurological Disorders and Stroke (R01 NS 38672, R01NS038672, P30NS057091)
  • National Center for Research Resources (P41RR008079, P41RR08079)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Keywords
brain energy metabolism, neuronal activity, excitatory and inhibitory neurons, metabolic compartmentation, neuron-glia interactions, cerebral blood flow, hemodynamics, 1H magnetic resonance spectroscopy, 13C NMR, in vivo brain imaging
MeSH terms
Animals, Brain, Energy Metabolism, Glucose, Humans, Lactates, Magnetic Resonance Imaging, Microcirculation, Models, Neurological, Synaptic Transmission, Neurons, Magnetic Resonance Spectroscopy, Oxidation-Reduction, Sensitivity and Specificity, Vasodilation

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