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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
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“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]
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“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]
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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