The DOI matches its Crossref record; 103 of the 104 references it cites were found in a registry or an index.
The Energetics of CNS White Matter
Open accessAbstract
The energetics of CNS white matter are poorly understood. We derive a signaling energy budget for the white matter (based on data from the rodent optic nerve and corpus callosum) which can be compared with previous energy budgets for the gray matter regions of the brain, perform a cost-benefit analysis of the energetics of myelination, and assess mechanisms for energy production and glucose supply in myelinated axons. We show that white matter synapses consume ≤0.5% of the energy of gray matter synapses and that this, rather than more energy-efficient action potentials, is the main reason why CNS white matter uses less energy than gray matter. Surprisingly, while the energetic cost of building myelin could be repaid within months by the reduced ATP cost of neuronal action potentials, the energetic cost of maintaining the oligodendrocyte resting potential usually outweighs the saving on action potentials. Thus, although it dramatically speeds action potential propagation, myelination need not save energy. Finally, we show that mitochondria in optic nerve axons could sustain measured firing rates with a plausible density of glucose transporters in the nodal membrane, without the need for energy transfer from oligodendrocytes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“To perform all of their tasks, OL energy demand is enormous, reaching a maximum during early myelination and remaining at a high level throughout life [284].”
From Revisiting the Pathogenesis of X-Linked Adrenoleukodystrophy (2025) · cites this paper as [284]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The reconstructed blood vessels (~230 mm in length) did not show much evidence of layer-specific behavior but had a lower density in the white matter, presumably for energetic reasons (45) and in the regions surrounding large vessels (fig. 4B).”
From A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution (2024) · cites this paper as [45]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
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
Self-citationSiesjö, B. K. (1978) · Medical Entomology and Zoology · Cited by 1,426
Basic Neurochemistry: Molecular, Cellular, and Medical Aspects
Siegel, G. J., & Agranoff, B. W. (1989) · Cited by 1,359
Cell death and control of cell survival in the oligodendrocyte lineage
Barres, B. A., Hart, I. K., Coles, H. S. R., Burne, J. F., Voyvodic, J. T., Richardson, W. D., & Raff, M. C. (1992) · Cell · doi:10.1016/0092-8674(92)90531-g · Cited by 1,345
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · cited 1×
“To calculate synapse density in the rat cerebral cortex (7.36 10 17 synapses/m 3), the number of synapses/neuron [8000: Braitenberg and Schuz (1998)] was multiplied by the density of neurons [9.2 10 13 neurons/m 3: Braitenberg and Schuz (1998)].”
MethodInfluentialThe cost of cortical computation.
Lennie, P. (2003) · Current Biology · doi:10.1016/s0960-9822(03)00135-0 · Cited by 1,134
Malonek, D., & Grinvald, A. (1996) · Science · doi:10.1126/science.272.5261.551 · Cited by 1,109
A theory of the effects of fibre size in medullated nerve
Rushton, W. A. H. (1951) · The Journal of Physiology · doi:10.1113/jphysiol.1951.sp004655 · Cited by 1,075
Energy limitation as a selective pressure on the evolution of sensory systems
Niven, J. E., & Laughlin, S. B. (2008) · Journal of Experimental Biology · doi:10.1242/jeb.017574 · Cited by 1,056
Research works printed but not linked: 1
- Royeck, 2010, Persistance of neuronal transmitter release onto oligodendrocyte precursor cells during progressive myelination in the mouse optic tract, Soc Neurosci Abstr, 36, 554
Cited by
Sorted by citations
Items 301–400 of 505
Completion of neuronal remodeling prompts myelination along developing motor axon branches
Wang, M., Kleele, T., Xiao, Y. C., Plucińska, G., Avramopoulos, P., Engelhardt, S. H., Schwab, M. H., Kneussel, M., Czopka, T., Sherman, D. L., et al. (2021) · The Journal of Cell Biology · doi:10.1083/jcb.201911114 · Cited by 11
A model for studying the energetics of sustained high frequency firing
Joós, B., Markham, M. R., Lewis, J. E., & Morris, C. E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196508 · Cited by 8
Milbocker, K. A., Williams, L., Caban-Rivera, D. A., Smith, I. F., Kurtz, S., McGarry, M., Wattrisse, B., Houten, E. E. W. V., Johnson, C. L., & Klintsova, A. Y. (2024) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.15265 · Cited by 9
Future Pharmacotherapy for Bipolar Disorders: Emerging Trends and Personalized Approaches
Marano, G., Lisci, F. M., Boggio, G., Marzo, E. M., Abate, F., Sfratta, G., Traversi, G., Mazza, O., Pola, R., Sani, G., et al. (2025) · Future Pharmacology · doi:10.3390/futurepharmacol5030042 · Cited by 8
The nature and interpretation of BOLD signals in white matter - A review
Gore, J. C., Li, M., Schilling, K. G., Xu, L., Li, Y., Zu, Z., Anderson, A. W., Ding, Z., & Gao, Y. (2025) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2025.110596 · Cited by 8
Mather, M. L., Jeffries, M. A., & Wood, T. L. (2022) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2022.102193 · Cited by 8
de Almeida, V., Seabra, G., Reis‐de‐Oliveira, G., Zuccoli, G. S., Rumin, P., Fioramonte, M., Smith, B. J., Zuardi, A. W., Hallak, J. E. C., Campos, A. C., et al. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01425-5 · Cited by 11
Transfer of nuclear and ribosomal material from Sox10-lineage cells to neurons in the mouse brain
Mayrhofer, F., Hanson, A. M., Navedo, M. F., Xiang, Y. K., Soulika, A. M., Deng, W., & Chechneva, O. V. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20221632 · Cited by 7
Spalloni, A., Stefano, S. D., Gimenez, J., Greco, V., Mercuri, N. B., Chiurchiù, V., & Longone, P. (2023) · Cells · doi:10.3390/cells12131691 · Cited by 8
Zbili, M., & Debanne, D. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00040 · Cited by 8
Theriault (n.d.) · doi:10.31234/osf.io/pkzr8 · Cited by 51
Venkatesan, S., Comi, C., Marchi, F. D., Esposito, T., Gramaglia, C. M., Smirne, C., Pour, M. M. O., Pirisi, M., Vaschetto, R., Zeppegno, P., et al. (2026) · Biomolecules · doi:10.3390/biom16010117 · Cited by 10
Butt, A. M., Niu, J., Yi, C., & Verkhratsky, A. (2026) · Physiological Reviews · doi:10.1152/physrev.00023.2025 · Cited by 7
Babetto, E., & Beirowski, B. (2022) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2022.148545 · Cited by 7
Neuronal Gtf2i deletion alters mitochondrial and autophagic properties
Nir, A., Levy, G., Trangle, S. S., Sfadia, G. E., Bar, E., Ophir, O., Fischer, I., Rokach, M., Atzmon, A., Parnas, H., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05612-5 · Cited by 7
What is the optimal distribution of myelin along a single axon?
Walsh, D. M., Landman, K. A., & Hughes, B. D. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.08.037 · Cited by 7
Pathogenesis of chronic disorders of cerebral circulation
Kamchatnov, P. R., Chugunov, A. V., Tyazhelnikov, A. A., & Пышкина, Л. И. (2017) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro201711712270-77 · Cited by 7
Interpreting functional diffusion tensor imaging
Autio, J. A., & Roberts, E. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00068 · Cited by 7
Targeting selective autophagy in CNS disorders by small-molecule compounds
Zheng, Y., Zhou, Z., Liu, M., & Chen, Z. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108729 · Cited by 6
Mayorga-Weber, G. A., Alarcón, P., Peña-Münzenmayer, G., Rojas, P., Burgos, R. A., Rivera, F. J., & Castro, M. A. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.06.044 · Cited by 6
Imaging of Protein Assemblies up to 231 kDa in Tissues with Nano-DESI Mass Spectrometry
Hale, O. J., & Cooper, H. J. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c05767 · Cited by 6
Chung, J., Oh, H., Gwak, D., & Kim, D. (2026) · Journal of Stroke · doi:10.5853/jos.2025.04168 · Cited by 7
Coordinated Regulation of Myelination by Growth Factor and Amino-acid Signaling Pathways
Yang, Z., Yu, Z., & Xiao, B. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-022-00967-x · Cited by 6
Lim, Y.-A., Tan, L. S., Lee, W. T., Sim, W. L., Lv, Y., Maki, T., Saitô, S., Ihara, M., Arumugam, T. V., Chen, C., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299703 · Cited by 6
The role of autophagy in brain health and disease: Insights into exosome and autophagy interactions
Wang, H., Lv, C., Feng, L., Guo, J., Zhao, S., & Jiang, P. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38959 · Cited by 7
Cholinergic and Glutamatergic Axons Differentially Require Glial Support in the Drosophila PNS
Kautzmann, S., Rey, S., Krebs, A., & Klämbt, C. (2025) · Glia · doi:10.1002/glia.70011 · Cited by 6
Viessmann, O., Tian, Q., Bernier, M., & Polimeni, J. R. (2022) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x221106277 · Cited by 6
Resilience of compound action potential peaks to high‐frequency firing in the mouse optic nerve
Hopper, A. J., Beswick‐Jones, H., & Brown, A. M. (2023) · Physiological Reports · doi:10.14814/phy2.15606 · Cited by 6
Wang, P., Jiang, Y., Hoptman, M. J., Li, Y., Cao, Q., Shah, P., Klugah‐Brown, B., & Biswal, B. B. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115559 · Cited by 7
A thermodynamical model of non-deterministic computation in cortical neural networks
Stoll, E. A. (2023) · Physical Biology · doi:10.1088/1478-3975/ad0f2d · Cited by 8
Energy efficient neurons with generalized inverse Gaussian conditional and marginal hitting times
Xing, J., & Berger, T. (2013) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2013.6620542 · Cited by 6
Kane, E. I., Waters, K. L., & Spratt, D. E. (2021) · Cells · doi:10.3390/cells10082121 · Cited by 6
Movement Disorders and Inherited Metabolic Disorders
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108556767 · Cited by 6
Verkhratsky, A., & Butt, A. M. (2013) · Wiley eBooks · doi:10.1002/9781118402061.ch5 · Cited by 9
An Overview of Oligodendrocyte Metabolism
Han, Q., & Cheng, J. (2025) · Advances in neurobiology · doi:10.1007/978-3-031-87919-7_7 · Cited by 5
The role of white matter myelin in structural-functional network coupling
Nelson, M. C., Lu, W. D., Leppert, I. R., Shafiei, G., Hansen, H. A., Rowley, C. D., Mišić, B., & Tardif, C. L. (2026) · Communications Biology · doi:10.1038/s42003-026-09813-6 · Cited by 5
Papanikolaou, M., & Butt, A. M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805088-0.00003-7 · Cited by 7
López-Muguruza, E., Peiró-Moreno, C., Pérez‐Cerdá, F., Matute, C., & Ruiz, A. (2025) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2025.1557214 · Cited by 6
Li, Z., Liu, J., Ju, J., Peng, X., Zhao, W., Ren, J., Jia, X., Wang, J., Tu, Y., & Gao, F. (2025) · British Journal of Pharmacology · doi:10.1111/bph.70048 · Cited by 5
White Matter: Basic Principles of Axonal Organization and Function
Velumian, A. A., & Samoilova, M. (2013) · Springer eBooks · doi:10.1007/978-1-4614-9123-1_1 · Cited by 5
Green Discoloration of Human Postmortem Brains
Ahrendsen, J. T., & Varma, H. (2020) · American Journal of Forensic Medicine & Pathology · doi:10.1097/paf.0000000000000641 · Cited by 5
Schipper, M. R., Vlegels, N., van Harten, T. W., Rasing, I., Koemans, E. A., Voigt, S., Luca, A. D., Kaushik, K., van Etten, E. S., van Zwet, E. W., et al. (2023) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x231200425 · Cited by 5
Peterson, B. S., Li, J. S., Trujillo, M., Sawardekar, S., Balyozian, D., Bansal, S., Sun, B. F., Marcelino, C., Nanda, A., Xu, T., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02961-5 · Cited by 5
The cost of communication in the brain
MacVicar, B. A., Wicki‐Stordeur, L. E., & Bernier, L. (2017) · eLife · doi:10.7554/elife.27894 · Cited by 4
Cytoskeletal Arrest: An Anoxia Tolerance Mechanism
Myrka, A. M., & Buck, L. T. (2021) · Metabolites · doi:10.3390/metabo11080561 · Cited by 5
Auer, F., & Schoppik, D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.904765 · Cited by 6
Call, C. L., Neely, S. A., Early, J. J., James, O. G., Zoupi, L., Williams, A., Chandran, S., Lyons, D. A., & Bergles, D. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.16.480718 · Cited by 5
Cortical modulation of resting state BOLD signals in white matter
Ding, Z., Xu, L., Gao, Y., Zhao, Y., Tan, Y., Anderson, A. W., Li, M., & Gore, J. C. (2025) · Scientific Reports · doi:10.1038/s41598-025-14352-x · Cited by 5
Ruthig, P., Planitz, D. E. V. D., Morozova, M., Reimann, K., Jäger, C., Reinert, T., Mohammadi, S., Weiskopf, N., Kirilina, E. P., & Morawski, M. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002906 · Cited by 5
Mitochondria and brain aging: From cell-specific dysfunction to intercellular cooperation
Grimm, A., Lang, U. E., & Eckert, A. (2026) · Neuron · doi:10.1016/j.neuron.2026.04.048 · Cited by 4
Datta, G., Miller, N., & Chen, X. (2023) · Cells · doi:10.3390/cells12050813 · Cited by 4
Oligodendroglial physiology and function
Verkhratsky, A., & Butt, A. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821565-4.00017-1 · Cited by 3
Inferior and Middle Longitudinal Fasciculus and Fornix Support Allocentric Representation
Evensmoen, H. R., Rimol, L. M., & Haberg, A. K. (2025) · Hippocampus · doi:10.1002/hipo.70031 · Cited by 3
Neves, K. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00047-6 · Cited by 4
A novel remitting leukodystrophy associated with a variant in FBP2
Gizak, A., Diegmann, S., Dreha‐Kulaczewski, S. F., Wiśniewski, J., Duda, P., Ohlenbusch, A., Huppke, B., Henneke, M., Höhne, W. E., Altmüller, J., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab036 · Cited by 4
The Role of Glutamate Dysregulation in the Etiology of ADHD
Glaser, P. E. A., Batten, S. R., & Gerhardt, G. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-87480-3_16 · Cited by 4
Looking to the Future: Projected Requirements for Wireline Communications Technology
Tamura, H. (2015) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2015.2477017 · Cited by 4
Bast, A., & Oberlaender, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.11.472235 · Cited by 4
Longitudinal Characterisation of Healthy Ageing in Rats using Multimodal Magnetic Resonance ImagingPreprint
MacNicol, E. (2021) · Thesis Commons (OSF Preprints) · doi:10.31237/osf.io/3vpyg · Cited by 3
Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRIPreprint
Autio, J. A., Kimura, I., Ose, T., Matsumoto, Y., Ohno, M., Urushibata, Y., Ikeda, T., Glasser, M. F., Essen, D. C. V., & Hayashi, T. (2024) · eLife · doi:10.7554/elife.99940 · Cited by 6
Kimura, I., Hayashi, T., & Autio, J. A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.77 · Cited by 3
Méndez, D., Devgun, K., Carlson, L. H., Mickelson, D. J., Monko, T. R., Reeves, L., Lanier, L. M., Georgieff, M., & Bastian, T. W. (2026) · Journal of Nutrition · doi:10.1016/j.tjnut.2026.101630 · Cited by 4
Hu, P., Wang, P., Zhao, R., Yang, H., & Biswal, B. B. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1248610 · Cited by 3
Husby, T., Johannessen, K., Berntsen, E. M., Johansen, H., Giskeødegård, G. F., Karlberg, A. M., Fagerli, U., & Eikenes, L. (2024) · EJNMMI Reports · doi:10.1186/s41824-024-00189-6 · Cited by 3
Hornoiu, I. L., Lee, A. M., Tan, H., Nakovics, H., Bach, P., Mann, K. F., Kiefer, F., Sommer, W. H., & Vollstädt‐Klein, S. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.12.008 · Cited by 4
Consciousness, Exascale Computational Power, Probabilistic Outcomes, and Energetic Efficiency
Stoll, E. A. (2023) · Cognitive Science · doi:10.1111/cogs.13272 · Cited by 3
Metabolomics Profile of the Secretome of Space-Flown Oligodendrocytes
Vergnes, L., Foucaud, B., Cepeda, C., & Monteros, A. E. D. L. (2023) · Cells · doi:10.3390/cells12182249 · Cited by 3
Gakare, S. G., Bhatt, J. M., Narasimhan, K. K. S., & Dravid, S. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294583 · Cited by 4
Variations in perfusion detectable in advance of microstructure in white matter aging
Robinson, T. D., Sun, Y. L., Chang, P. T. H., Gauthier, C. J., & Chen, J. J. (2025) · GeroScience · doi:10.1007/s11357-025-01787-3 · Cited by 4
Shen, Y., Wang, X., Guo, S.-Y., Qiu, M.-S., Hou, G.-L., & Tan, Z. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134600 · Cited by 3
Turner, R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00015-4 · Cited by 3
Mitelman, S. A., Buchsbaum, M. S., Christian, B. T., Merrill, B., Adineh, M., DeCastro, A., Buchsbaum, B. R., & Lehrer, D. S. (2020) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2020.111060 · Cited by 3
Izagirre‐Urizar, L., Mora-Huerta, L., Soler-Sáez, I., Morales‐Gallel, R., Ulloa-Navas, M. J., Chara, J. C., Calovi, S., Deboux, C., Merino‐Cacho, L., Netzahualcoyotzi, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.10.632306 · Cited by 3
White‐Matter Structural Connectivity and Alzheimer's Disease: A Mendelian Randomization Study
Liu, S., & Geng, D. (2025) · Brain and Behavior · doi:10.1002/brb3.70286 · Cited by 2
Yam, C., Sampson, D. M., Elias, A. M., Wingrove, J. O., Kanber, B., Christensen, R., Sood, P., Nistri, R., He, A. H., Toorop, A. A., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag007 · Cited by 2
Physical Exercise Counteracts Impaired Cognition by Improving Mitochondrial Function
Maciel, P., Lamas, C. B., Araújo, A. C., Chagas, E. F. B., Guiguer, É. L., Curi, R., Pithon‐Curi, T. C., Almeida, M. C. D. S., Sloam, K. C. P., Sloan, L. A., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104337 · Cited by 3
Maier, L. E., Minhas, J. S., Hoedemaekers, C., & Ainslie, P. N. (2026) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x261447779 · Cited by 2
Dyckow, J., Rabitsch, A. M., Geywitz, C., Mayer, C., Lerma-Martin, C., Ludwig, N., Smith, M. D., Potschka, H., Calabresi, P. A., Nave, K., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-10530-3 · Cited by 2
Our hungry brain: Which role do glial cells play for the energy supply?
Deitmer, J. W., Theparambil, S. M., Ruminot, I., & Becker, H. M. (2017) · e-Neuroforum · doi:10.1515/nf-2016-a102 · Cited by 2
Tan, S.-W., Cai, G., Li, Q., Guo, Y., Pan, Y., Zhang, L.-J., Ge, Q., Shu, H., Zeng, X., & Shao, Y. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.879253 · Cited by 2
Theriault, J. E. (2023) · American Psychological Association eBooks · doi:10.1037/0000342-009 · Cited by 4
Hemida, M. B. M., Rosendahl, S., Jokinen, T. S., Moore, R., Vuori, K. A. M., Anturaniemi, J., & Hielm-Björkman, A. K. (2023) · Frontiers in Veterinary Science · doi:10.3389/fvets.2023.1227437 · Cited by 3
Endolysosome dysfunction in HAND
Hasler, W. A., Rezagholizadeh, N., & Chen, X. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99744-7.00034-1 · Cited by 2
Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRI
Autio, J. A., Kimura, I., Ose, T., Matsumoto, Y., Ohno, M., Urushibata, Y., Ikeda, T., Glasser, M. F., Essen, D. C. V., & Hayashi, T. (2025) · eLife · doi:10.1101/2024.05.16.594068 · Cited by 2
Back, A. M., Connor, B. J., & McCaughey‐Chapman, A. (2024) · Journal of Neuroscience Research · doi:10.1002/jnr.70010 · Cited by 3
Evolution of Oligodendroglia and Myelin
Verkhratsky, A., Yi, C., Niu, J., & Butt, A. M. (2025) · Advances in neurobiology · doi:10.1007/978-3-031-87919-7_2 · Cited by 3
Tuncer, M., Pehli̇vanoğlu, B., Surucu, H. S., & İşbir, T. (2021) · Biochemistry (Moscow) · doi:10.1134/s0006297921050035 · Cited by 2
Glycemia in Spontaneous Intracerebral Hemorrhage: Clinical Implications
Alvis-Miranda, H. R., Alcalá‐Cerra, G., & Moscote‐Salazar, L. R. (2014) · Romanian Neurosurgery · doi:10.2478/romneu-2014-0043 · Cited by 3
Austerschmidt, L. J., Schottler, N., Miller, A., & Baker, M. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-00084-1 · Cited by 2
Jaroß, W. (2015) · Integrative Molecular Medicine · doi:10.15761/imm.1000168 · Cited by 2
Kada, H., Teramae, J.-N., & Tokuda, I. T. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00104 · Cited by 2
Thomason, E. J., Suárez‐Pozos, E., Afshari, F. S., Rosenberg, P. A., Dupree, J. L., & Fuss, B. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.905299 · Cited by 2
Live-cell metabolic analysis of oligodendroglia isolated from postnatal mouse brain and spinal cord
Khandker, L., & Wood, T. L. (2022) · STAR Protocols · doi:10.1016/j.xpro.2022.101655 · Cited by 2
Fundamental Constraints on the Evolution of Neurons
Faisal, A. A., & Neishabouri, A. (2016) · Wiley eBooks · doi:10.1002/9781118316757.ch7 · Cited by 2
Cortical and white matter myelination proceed in concert during early infancyPreprint
Zika, S., Chang, K., Orhon, A., Kruper, J., Tyagi, C., Yan, X., Tung, S. S., Kalanit Grill-spector, A., Rokem, A., & Grotheer, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.07.663449 · Cited by 2
Louie, A. Y., Drnevich, J. M., Johnson, J. L., Woodard, M., Kukekova, A. V., Johnson, R. W., & Steelman, A. J. (2024) · iScience · doi:10.1016/j.isci.2024.110464 · Cited by 2
Gallego‐Ortega, A., Galindo‐Romero, C., Vidal‐Villegas, B., Bernal-Garro, J. M., de la Villa, P., Avilés‐Trigueros, M., & Vidal‐Sanz, M. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.117944 · Cited by 1
Gene Therapy of Adrenomyeloneuropathy: Challenges, Target Cells, and Prospectives
Bougneres, P. F., Stunff, C. L., & Badin, R. A. (2025) · Biomedicines · doi:10.3390/biomedicines13081892 · Cited by 1
Mitochondria delay action potential propagation
Castelfranco, A. M., & Alcamí, P. (2025) · Communications Biology · doi:10.1038/s42003-025-08583-x · Cited by 3
Chang, W. H., Lu, T., Bui, V., Chang, H. H., Weng, J., Lin, S., Wei, S., Tseng, H., & Chen, P. S. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.106109 · Cited by 1
Metadata
- Authors
- Harris, J. J., & Attwell, D.
- Affiliations
- University College London (GB)
- Corresponding author
- Attwell, David
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-01-04
- Volume
- 32
- Issue
- 1
- Pages
- 356-371
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3272449
- OpenAlex
- W1973747802
- Cited by
- 505
- References
- 104
- Citations by year
- 2026: 40 · 2025: 40 · 2024: 41 · 2023: 50 · 2022: 42 · 2021: 55 · 2020: 31 · 2019: 32 · 2018: 33 · 2017: 36 · 2016: 34 · 2015: 19 · 2014: 18 · 2013: 26 · 2012: 8
- FWCI
- 9.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (075232)
- Fondation Leducq
- Medical Research Council
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- myelination, optic nerve, corpus callosum, action potential propagation, mitochondrial energy production, glucose transporters, nodal membrane
- MeSH terms
- Action Potentials, Animals, Cell Membrane, Central Nervous System, Energy Metabolism, Glucose, Mitochondria, Models, Neurological, Myelin Sheath, Nerve Fibers, Myelinated, Neural Conduction, Oligodendroglia, Optic Nerve, Synapses, Glucose Transport Proteins, Facilitative, Rats
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
