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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Flagged first, then by citations
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
Cited by
Sorted by citations
Lactate in the brain: from metabolic end-product to signalling molecule
Magistretti, P. J., & Allaman, I. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.19 · Cited by 1,298
Self-citation13 reasons why the brain is susceptible to oxidative stress
Cobley, J. N., Fiorello, M. L., & Bailey, D. M. (2018) · Redox Biology · doi:10.1016/j.redox.2018.01.008 · Cited by 1,215
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001
Brain Glucose Metabolism: Integration of Energetics with Function
Dienel, G. A. (2018) · Physiological Reviews · doi:10.1152/physrev.00062.2017 · Cited by 911
Cellular mitophagy: Mechanism, roles in diseases and small molecule pharmacological regulation
Lü, Y., Li, Z., Zhang, S., Zhang, T., Liu, Y., & Zhang, L. (2023) · Theranostics · doi:10.7150/thno.79876 · Cited by 738
In vivo evidence for a lactate gradient from astrocytes to neurons
Mächler, P., Wyss, M. T., Elsayed, M., Stobart, J., Gutierrez, R., von Faber-Castell, A., Kaelin, V., Zuend, M., San Martín, A., Romero-Gómez, I., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.10.010 · Cited by 571
Self-citationAn energetic view of stress: Focus on mitochondria
Picard, M. A., McEwen, B. S., Epel, E. S., & Sandi, C. (2018) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2018.01.001 · Cited by 584
González-Reyes, R. E., Nava-Mesa, M. O., Vargas-Sánchez, K., Ariza-Salamanca, D. F., & Mora-Muñoz, L. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00427 · Cited by 541
Neuroprotective Effect of Antioxidants in the Brain
Lee, K. H., Cha, M., & Lee, B. H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197152 · Cited by 543
Neuron–glia interactions in the pathophysiology of epilepsy
Patel, D. C., Tewari, B. P., Chaunsali, L., & Sontheimer, H. W. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0126-4 · Cited by 478
Microbiota-derived metabolites as drivers of gut–brain communication
Ahmed, H., Leyrolle, Q., Koistinen, V., Kärkkäinen, O., Layé, S., Delzenne, N., & Hanhineva, K. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2102878 · Cited by 462
Direct cell reprogramming: approaches, mechanisms and progress
Wang, H., Yang, Y., Liu, J., & Li, Q. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00335-z · Cited by 463
Agarwal, A., Wu, P.-H., Hughes, E. G., Fukaya, M., Tischfield, M. A., Langseth, A. J., Wirtz, D., & Bergles, D. E. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.034 · Cited by 441
Maoz, B. M., Herland, A., Fitzgerald, E. A., Grevesse, T., Vidoudez, C., Pacheco, A. R., Sheehy, S. P., Park, T., Dauth, S., Mannix, R. J., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4226 · Cited by 437
Quaresima, V., & Ferrari, M. (2016) · Organizational Research Methods · doi:10.1177/1094428116658959 · Cited by 423
Sex differences in the developing brain: insights from multimodal neuroimaging
Kaczkurkin, A. N., Raznahan, A., & Satterthwaite, T. D. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-018-0111-z · Cited by 403
Epigenetic Regulation in Neurodegenerative Diseases
Berson, A., Nativio, R., Berger, S. L., & Bonini, N. M. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.05.005 · Cited by 408
Higginbotham, L., Ping, L., Dammer, E. B., Duong, D. M., Zhou, M., Gearing, M., Hurst, C., Glass, J. D., Factor, S. A., Johnson, E. C. B., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz9360 · Cited by 367
Higginbotham, L., Ping, L., Dammer, E. B., Duong, D. M., Zhou, M., Gearing, M., Johnson, E. C. B., Hajjar, I., Lah, J. J., Levey, A. I., et al. (2019) · doi:10.1101/806752 · Cited by 367
Mutant Huntingtin Disrupts the Nuclear Pore Complex
Grima, J. C., Daigle, J. G., Arbez, N., Cunningham, K. M., Zhang, K., Ochaba, J., Smith-Geater, C., Morozko, E. L., Stocksdale, J. T., Glatzer, J. C., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.023 · Cited by 358
The Link Between Angiogenesis and Endothelial Metabolism
Potente, M., & Carmeliet, P. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105134 · Cited by 360
Altered cellular metabolism in gliomas — an emerging landscape of actionable co-dependency targets
Bi, J., Chowdhry, S., Wu, S., Zhang, W., Masui, K., & Mischel, P. S. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0226-5 · Cited by 359
Lactate and pyruvate promote oxidative stress resistance through hormetic ROS signaling
Tauffenberger, A., Fiumelli, H., Almustafa, S., & Magistretti, P. J. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1877-6 · Cited by 352
Self-citationSingle-cell multiregion dissection of Alzheimer’s disease
Mathys, H., Boix, C. A., Akay, L. A., Xia, Z., Davila-Velderrain, J., Ng, A. P., Jiang, X., Abdelhady, G., Galani, K., Mantero, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07606-7 · Cited by 343
Short Overview of ROS as Cell Function Regulators and Their Implications in Therapy Concepts
Milković, L., Gašparović, A. Č., Cindrić, M., Mouthuy, P., & Žarković, N. (2019) · Cells · doi:10.3390/cells8080793 · Cited by 330
Douce, J. L., Maugard, M., Veran, J., Matos, M., Jégo, P., Vigneron, P.-A., Faivre, É., Toussay, X., Vandenberghe, M. E., Balbastre, Y., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2020.02.004 · Cited by 336
Going the Extra (Synaptic) Mile: Excitotoxicity as the Road Toward Neurodegenerative Diseases
Armada‐Moreira, A., Gomes, J. I., Pina, C. C., Savchak, O. K., Gonçalves‐Ribeiro, J., Rei, N., Pinto, S., Morais, T. P., Martins, R. S., Ribeiro, F. F., et al. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00090 · Cited by 337
Astrogliosis: An integral player in the pathogenesis of Alzheimer's disease
Osborn, L. M., Kamphuis, W., Wadman, W. J., & Hol, E. M. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.01.001 · Cited by 312
Kausar, S., Wang, F., & Cui, H. (2018) · Cells · doi:10.3390/cells7120274 · Cited by 327
Microglial metabolic flexibility supports immune surveillance of the brain parenchyma
Bernier, L., York, E. M., Kamyabi, A., Choi, H. B., Weilinger, N. L., & MacVicar, B. A. (2020) · Nature Communications · doi:10.1038/s41467-020-15267-z · Cited by 316
Astrocytes as Key Regulators of Brain Energy Metabolism: New Therapeutic Perspectives
Béard, E., Lengacher, S., Dias, S., Magistretti, P. J., & Finsterwald, C. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2021.825816 · Cited by 326
Self-citationHasel, P., Dando, O., Jiwaji, Z., Baxter, P. S., Todd, A., Heron, S., Márkus, N. M., McQueen, J., Hampton, D. W., Torvell, M., et al. (2017) · Nature Communications · doi:10.1038/ncomms15132 · Cited by 311
Bisht, K., Okojie, K. A., Sharma, K. P., Lentferink, D. H., Sun, Y., Chen, H., Uweru, J. O., Amancherla, S., Calcuttawala, Z., Campos-Salazar, A. B., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25590-8 · Cited by 311
Energy matters: presynaptic metabolism and the maintenance of synaptic transmission
Li, S., & Sheng, Z. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00535-8 · Cited by 285
Bioenergetics and redox adaptations of astrocytes to neuronal activity
Bolaños, J. P. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13486 · Cited by 262
Energy metabolism in ALS: an underappreciated opportunity?
Vandoorne, T., Bock, K. D., & Bosch, L. V. D. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1835-x · Cited by 260
Pleiotropic Mitochondria: The Influence of Mitochondria on Neuronal Development and Disease
Rangaraju, V., Lewis, T. L., Hirabayashi, Y., Bergami, M., Motori, E., Cartoni, R., Kwon, S., & Courchet, J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1157-19.2019 · Cited by 271
Spatially aware dimension reduction for spatial transcriptomics
Shang, L., & Zhou, X. (2022) · Nature Communications · doi:10.1038/s41467-022-34879-1 · Cited by 256
Fatigue, Sleep, and Autoimmune and Related Disorders
Zielinski, M. R., Systrom, D. M., & Rose, N. R. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01827 · Cited by 281
Ashok, A., Andrabi, S. S., Mansoor, S., Kuang, Y., Kwon, B. K., & Labhasetwar, V. D. (2022) · Antioxidants · doi:10.3390/antiox11020408 · Cited by 270
Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse
Frère, S. G. A., & Slutsky, I. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.028 · Cited by 242
New insights into the role of mitochondrial dynamics in oxidative stress-induced diseases
Chen, S., Li, Q., Shi, H., Li, F., Duan, Y., & Guo, Q. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117084 · Cited by 250
RNA-binding proteins in neurodegeneration: mechanisms in aggregatePreprint
Conlon, E. G., & Manley, J. L. (2017) · Genes & Development · doi:10.1101/gad.304055.117 · Cited by 229
An astroglial basis of major depressive disorder? An overview
Wang, Q., Jie, W., Liu, J., Yang, J., & Gao, T. (2017) · Glia · doi:10.1002/glia.23143 · Cited by 222
Mitochondria, energy, and metabolism in neuronal health and disease
Trigo, D., Avelar, C., Fernandes, M., Sá, J., & Silva, O. A. B. D. C. E. (2022) · FEBS Letters · doi:10.1002/1873-3468.14298 · Cited by 225
Upregulated energy metabolism in the Drosophila mushroom body is the trigger for long-term memory
Plaçais, P.-Y., de Tredern, É., Scheunemann, L., Trannoy, S., Goguel, V., Han, K.-A., Isabel, G., & Préat, T. (2017) · Nature Communications · doi:10.1038/ncomms15510 · Cited by 213
Astrocytic mitochondrial ROS modulate brain metabolism and mouse behaviour
Vicente‐Gutiérrez, C., Bonora, N., Bobo-Jiménez, V., Jiménez-Blasco, D., López-Fabuel, I., Fernández, E., Joséphine, C., Bonvento, G., Enrı́quez, J. A., Almeida, Á., et al. (2019) · Nature Metabolism · doi:10.1038/s42255-018-0031-6 · Cited by 205
Astrocytic β 2 -adrenergic receptors mediate hippocampal long-term memory consolidation
Gao, V., Suzuki, A., Magistretti, P. J., Lengacher, S., Pollonini, G., Steinman, M. Q., & Alberini, C. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605063113 · Cited by 207
Self-citationSasso, J. M., Ammar, R. M., Tenchov, R., Lemmel, S. A., Kelber, O., Grieswelle, M., & Zhou, Q. A. (2023) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00127 · Cited by 229
Hladky, S. B., & Barrand, M. A. (2018) · Fluids and Barriers of the CNS · doi:10.1186/s12987-018-0113-6 · Cited by 206
Jha, M. K., & Morrison, B. M. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.07.009 · Cited by 203
Clasadonte, J., Scemes, E., Wang, Z., Boison, D., & Haydon, P. G. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.022 · Cited by 200
Rose, J., Brian, C., Pappa, A., Panayiotidis, M. I., & Franco, R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.536682 · Cited by 196
Alternative Splicing in Neurogenesis and Brain Development
Su, C.-H., Dhananjaya, D., & Tarn, W. (2018) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2018.00012 · Cited by 204
Pathophysiological subtypes of Alzheimer’s disease based on cerebrospinal fluid proteomics
Tijms, B. M., Gobom, J., Reus, L. M., Jansen, I. E., Hong, S., Dobričić, V., Kilpert, F., ten Kate, M., Barkhof, F., Tsolaki, M., et al. (2020) · Brain · doi:10.1093/brain/awaa325 · Cited by 200
Fatty acid oxidation organizes mitochondrial supercomplexes to sustain astrocytic ROS and cognition
Morant-Ferrando, B., Jiménez-Blasco, D., Alonso-Batan, P., Agulla, J., Lapresa, R., García-Rodríguez, D., Yunta-Sanchez, S., López-Fabuel, I., Fernández, E., Carmeliet, P., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00835-6 · Cited by 195
Unique Metabolic Adaptations Dictate Distal Organ-Specific Metastatic Colonization
Schild, T., Low, V., Blenis, J., & Gomes, A. P. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.02.001 · Cited by 187
Mitochondria, Metabolism, and Redox Mechanisms in Psychiatric Disorders
Kim, Y., Vadodaria, K. C., Lenkei, Z., Kato, T., Gage, F. H., Marchetto, M. C., & Santos, R. (2018) · Antioxidants and Redox Signaling · doi:10.1089/ars.2018.7606 · Cited by 193
The neuropathobiology of multiple sclerosis
Woo, M. S., Engler, J. B., & Friese, M. A. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00823-z · Cited by 205
Oxidative stress and neurodegeneration: the involvement of iron
Carocci, A., Catalano, A. A., Sinicropi, M. S., & Genchi, G. (2018) · BioMetals · doi:10.1007/s10534-018-0126-2 · Cited by 188
Direct Neuronal Reprogramming: Achievements, Hurdles, and New Roads to Success
Gascón, S., Masserdotti, G., Russo, G. L., & Götz, M. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.06.011 · Cited by 183
Barone, E., Domenico, F. D., Marzia Perluigi, A., & Butterfield, D. A. (2021) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2021.09.006 · Cited by 182
Increased glycolysis correlates with elevated immune activity in tumor immune microenvironment
Jiang, Z., Liu, Z., Li, M., Chen, C., & Wang, X. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.03.068 · Cited by 171
Cerebrospinal fluid proteomics define the natural history of autosomal dominant Alzheimer’s disease
Johnson, E. C. B., Bian, S., Haque, R. U., Carter, E. K., Watson, C. M., Gordon, B. A., Ping, L., Duong, D. M., Epstein, M. P., McDade, E., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02476-4 · Cited by 170
Dienel, G. A. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24015 · Cited by 168
Glutamate and GABA Homeostasis and Neurometabolism in Major Depressive Disorder
Sarawagi, A., Soni, N. D., & Patel, A. B. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.637863 · Cited by 184
Energy Metabolism Decline in the Aging Brain—Pathogenesis of Neurodegenerative Disorders
Błaszczyk, J. W. (2020) · Metabolites · doi:10.3390/metabo10110450 · Cited by 166
Anandhan, A., Jacome, M. S., Lei, S., Hernández-Franco, P., Pappa, A., Panayiotidis, M. I., Powers, R., & Franco, R. (2017) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2017.03.009 · Cited by 165
She, R., Liu, D., Liao, J., Wang, G., Ge, J., & Mei, Z. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1191629 · Cited by 163
mTOR/AMPK signaling in the brain: Cell metabolism, proteostasis and survival
Garza-Lombó, C., Schroder, A. L., Reyes‐Reyes, E. M., & Franco, R. (2018) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2018.05.002 · Cited by 169
The solute carrier transporters and the brain: Physiological and pharmacological implications
Hu, C., Tao, L., Cao, X., & Chen, L. (2019) · Asian Journal of Pharmaceutical Sciences · doi:10.1016/j.ajps.2019.09.002 · Cited by 165
Brain Fuel Utilization in the Developing Brain
Steiner, P. (2019) · Annals of Nutrition and Metabolism · doi:10.1159/000508054 · Cited by 164
Microglia-Specific Metabolic Changes in Neurodegeneration
Aldana, B. I. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.03.006 · Cited by 158
Brain energy metabolism: Astrocytes in neurodegenerative diseases.
Chen, Z., Yuan, Z., Yang, S., Zhu, Y., Xue, M., Zhang, J., & Leng, L. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13982 · Cited by 153
Respiration-Deficient Astrocytes Survive As Glycolytic Cells In Vivo
Supplie, L. M., Düking, T., Campbell, G., Diaz, F., Moraes, C. T., Götz, M., Hamprecht, B., Boretius, S., Mahad, D., & Nave, K.-A. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0756-16.2017 · Cited by 153
Stress and Psychiatric Disorders: The Role of Mitochondria
Daniels, T. E., Olsen, E. M., & Tyrka, A. R. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-082719-104030 · Cited by 157
Dysfunction of ABC transporters at the blood-brain barrier: Role in neurological disorders
Gil-Martins, E., Barbosa, D. J., Silva, V., Remião, F., & Silva, R. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107554 · Cited by 152
Wei, Y., Miao, Q., Zhang, Q., Mao, S., Li, M., Xu, X., Xia, X., Wei, K., Fan, Y., Zheng, X., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01476-4 · Cited by 153
Reactive Oxygen Species: Beyond Their Reactive Behavior
Tauffenberger, A., & Magistretti, P. J. (2021) · Neurochemical Research · doi:10.1007/s11064-020-03208-7 · Cited by 157
Self-citationThe Glutamate/ GABA ‐Glutamine Cycle: Insights, Updates, and Advances
Andersen, J. V. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70029 · Cited by 170
The Interconnected Mechanisms of Oxidative Stress and Neuroinflammation in Epilepsy
Parsons, A. L. M., Bucknor, E. M. V., Castroflorio, E., Soares, T. R., Oliver, P. L., & Rial, D. (2022) · Antioxidants · doi:10.3390/antiox11010157 · Cited by 147
Astroglial glutamate transporters coordinate excitatory signaling and brain energetics
Robinson, M. B., & Jackson, J. G. (2016) · Neurochemistry International · doi:10.1016/j.neuint.2016.03.014 · Cited by 150
Millan, M. J. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.03.004 · Cited by 151
Glucose metabolism in nerve terminals
Ashrafi, G., & Ryan, T. A. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.007 · Cited by 151
Joshi, A. U., Saw, N. L., Shamloo, M., & Mochly‐Rosen, D. (2017) · Oncotarget · doi:10.18632/oncotarget.23640 · Cited by 150
3D neuronal mitochondrial morphology in axons, dendrites, and somata of the aging mouse hippocampus
Faitg, J., Lacefield, C., Davey, T., White, K., Laws, R., Kosmidis, S., Reeve, A. K., Kandel, E. R., Vincent, A. E., & Picard, M. A. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109509 · Cited by 139
Glial cells in Alzheimer’s disease: From neuropathological changes to therapeutic implications
Uddin, M. S., & Lim, L. W. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101622 · Cited by 154
Inak, G., Rybak‐Wolf, A., Lisowski, P., Pentimalli, T. M., Jüttner, R., Glažar, P., Uppal, K., Bottani, E., Brunetti, D., Secker, C., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22117-z · Cited by 151
Vergara, R. C., Jaramillo-Riveri, S., Luarte, A., Moënne‐Loccoz, C., Fuentes, R., Couve, A., & Maldonado, P. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00049 · Cited by 149
Molecular Communication of a Dying Neuron in Stroke
Puig, B., Brenna, S., & Magnus, T. U. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19092834 · Cited by 146
Insulin Resistance at the Crossroad of Alzheimer Disease Pathology: A Review
Berlanga‐Acosta, J., Guillén, G. E., Rodríguez-Rodríguez, N., Bringas-Vega, M. L., García-del-Barco-Herrera, D., Berlanga-Saez, J. O., Ojalvo, A. G., Valdés-Sosa, M. J., & Valdes-Sosa, P. A. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.560375 · Cited by 143
Synapses: The Brain’s Energy-Demanding Sites
Faria‐Pereira, A., & Morais, V. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073627 · Cited by 152
Energy Dynamics in the Brain: Contributions of Astrocytes to Metabolism and pH Homeostasis
Deitmer, J. W., Theparambil, S. M., Ruminot, I., Noor, S. I., & Becker, H. M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01301 · Cited by 137
Imaging Adenosine Triphosphate (ATP)
Rajendran, M., Dane, E. L., Conley, J. M., & Tantama, M. (2016) · Biological Bulletin · doi:10.1086/689592 · Cited by 145
Astrocytes and brain-derived neurotrophic factor (BDNF)
Albini, M., Krawczun-Rygmaczewska, A., & Cesca, F. (2023) · Neuroscience Research · doi:10.1016/j.neures.2023.02.001 · Cited by 145
Glycolytic Metabolism, Brain Resilience, and Alzheimer’s Disease
Zhang, X., Alshakhshir, N., & Zhao, L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.662242 · Cited by 134
Liu, C.-Y., Yang, Y., Ju, W.-N., Wang, X., & Zhang, H.-L. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00193 · Cited by 131
Genes, Cells and Brain Areas of Intelligence
Goriounova, N. A., & Mansvelder, H. D. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00044 · Cited by 148
The neurovascular unit and systemic biology in stroke — implications for translation and treatment
Tiedt, S., Buchan, A. M., Dichgans, M., Lizasoaín, I., Moro, M. Á., & Lo, E. H. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00703-z · Cited by 135
Brain Iron Homeostasis: A Focus on Microglial Iron
Nnah, I. C., & Wessling‐Resnick, M. (2018) · Pharmaceuticals · doi:10.3390/ph11040129 · Cited by 131
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 ›
Are you an author, or do you see a problem with this page? Request a review