The DOI matches its Crossref record; 203 of the 204 references it cites were found in a registry or an index.
A Cellular Perspective on Brain Energy Metabolism and Functional Imaging
Open accessAbstract
The energy demands of the brain are high: they account for at least 20% of the body's energy consumption. Evolutionary studies indicate that the emergence of higher cognitive functions in humans is associated with an increased glucose utilization and expression of energy metabolism genes. Functional brain imaging techniques such as fMRI and PET, which are widely used in human neuroscience studies, detect signals that monitor energy delivery and use in register with neuronal activity. Recent technological advances in metabolic studies with cellular resolution have afforded decisive insights into the understanding of the cellular and molecular bases of the coupling between neuronal activity and energy metabolism and point at a key role of neuron-astrocyte metabolic interactions. This article reviews some of the most salient features emerging from recent studies and aims at providing an integration of brain energy metabolism across resolution scales.
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“Neural tissue is metabolically expensive, consuming approximately 20% of the body’s energy despite comprising only 2% of body mass (Attwell and Laughlin 2001; Magistretti and Allaman 2015).”
From The myth of the Bayesian brain (2025) · cites this paper as Magistretti and Allaman 2015
In the citing paper
“To further examine the cellular and regional heterogeneity of the human brain, we developed a scalable method, scdemon, which uses sample decorrelation to annotate both ubiquitous and rare gene expression programs in each major cell type, and used annotated modules to identify functional programs associated with specific pathological variables, including a glycolysis- and energy-metabolism-linked”
From Single-cell multiregion dissection of Alzheimer’s disease (2024) · cites this paper as [60]
In the citing paper
“In regions with high diffuse plaque, astrocytes upregulated glycolysis enzymes converting glucose-6-phosphate to pyruvate, while downregulating MPC1, the mitochondrial pyruvate transporter60 (Fig. 4n).”
From Single-cell multiregion dissection of Alzheimer’s disease (2024) · cites this paper as [60]
Citations
Cites
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Sokoloff, L., Reivich, M., Kennedy, C., Rosiers, M. H. D., Patlak, C. S., Pettigrew, K. D., Sakurada, O., & Shinohara, M. (1977) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1977.tb10649.x · Cited by 6,000
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824
Astrocytes: Biology and pathology
Sofroniew, M. V., & Vinters, H. V. (2010) · Acta Neuropathologica · doi:10.1007/s00401-009-0619-8 · Cited by 5,196
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875
Danbolt, N. C. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00067-8 · Cited by 4,227
An Energy Budget for Signaling in the Grey Matter of the Brain
Attwell, D., & Laughlin, S. B. (2001) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200110000-00001 · Cited by 3,543
Metabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233
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1 of the 204 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Andriezen, 1893, On a system of fibre-like cells surrounding the blood vessels of the brain of man and mammals, and its physiological significance, Int. Monatsschr. Anat. Physiol., 10, 532
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Targeting O-GlcNAcylation: Novel Therapeutic Strategies for Neurological Disease
Sui, J., Zheng, L., Zhang, B., Shang, Y., & Zou, W. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05357-8 · Cited by 1
Turovsky, E. A., Babenko, V. А., Varlamova, E. G., Plotnikov, E. Y., & Andrianova, N. V. (2025) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-026-06530-2 · Cited by 1
Metadata
- Authors
- Magistretti, P. J., & Allaman, I.
- Affiliations
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Magistretti, Pierre J.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 86
- Issue
- 4
- Pages
- 883-901
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1797578063
- Semantic Scholar
- 5422412ef48292717365807c1d50dd7887db3879
- Cited by
- 1,285
- References
- 204
- Citations by year
- 2026: 148 · 2025: 145 · 2024: 136 · 2023: 117 · 2022: 145 · 2021: 128 · 2020: 125 · 2019: 99 · 2018: 103 · 2017: 75 · 2016: 49 · 2015: 14
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- IRIS (submittedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- brain energy metabolism, glucose utilization, neuronal activity, astrocytes, energy metabolism genes, functional MRI, PET, cellular resolution
- MeSH terms
- Animals, Astrocytes, Brain, Energy Metabolism, Glucose, Humans, Magnetic Resonance Imaging, Neurons
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