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 401–500 of 505
Nimpal, M., Winter, P., Schnell, S., & zu Eulenburg, P. (2025) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x251400470 · Cited by 1
Zhou, J.-H., Lin, C.-H., Ning, B., Liang, X.-S., Huang, X., Wang, S., Wu, Q., & Fu, W.-B. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.121048 · Cited by 1
Huang, H., Zhao, Z., Duan, X., Zhang, Y., Wang, M., Qin, J., Lin, S., Jiang, L., & Chen, H. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae50bd · Cited by 1
The role of TDP-43 fragments in regular cellular functions and homeostatic failure
Dahlhaus, R., & Braun, R. J. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107349 · Cited by 1
Suarez-Baquero, D. E., Boido, D., Assali, A., Renier, N., Esipova, T. V., Ciobanu, L., & Charpak, S. (2026) · Nature Communications · doi:10.1038/s41467-026-71656-w · Cited by 1
Frogs Uncouple Neural Activity From Oxygen Consumption After Hibernation
Yaseen, H., & Santin, J. M. (2026) · Acta Physiologica · doi:10.1111/apha.70247 · Cited by 2
Franken, L. G. W., van Lieshout, B., Eugenio, J., Verbeek, R. J., Voermans, M. M. C., den Berg, E. V., Bet, P. M., Mathôt, R. A. A., van der Laan, D., Abbink, T. E. M., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-47959-9 · Cited by 1
Mao, X., Rygalski, E., & Yan, Z. (2026) · Sports Medicine and Health Science · doi:10.1016/j.smhs.2026.07.001 · Cited by 1
Looking to the brain to improve energy efficiency of AI
Peters, M. A. K., Yoo, S. B. M., Klincewicz, M., Toyoizumi, T., Richards, B. A., Webb, T. W., & Lau, H. C. (2026) · Current Biology · doi:10.1016/j.cub.2026.06.020 · Cited by 1
Degenerative Brain Diseases and White Matter Injury
Bartzokis, G., & Lu, P. H. (2013) · Springer eBooks · doi:10.1007/978-1-4614-9123-1_14 · Cited by 1
d’Esterre, C. D. (2013) · Scholarship@Western (Western University) · Cited by 1
The Altered Cerebral Homeostasis with Aging in Diabetes Mellitus and Cognitive Decline
Nikhra, V. (2018) · Gerontology & Geriatrics Studies · doi:10.31031/ggs.2018.03.000556 · Cited by 1
Spinal Cord Involvement in Adult Mitochondrial Diseases: A Cohort Study
Primiano, G., Mariotti, P., Turrini, I., Sancricca, C., Sabino, A., Torraco, A., Carrozzo, R., & Servidei, S. (2021) · Life · doi:10.3390/life12010005 · Cited by 1
Chan, J. W., Sultan, W., Karanjia, R., & Sadun, A. A. (2021) · Mitochondrion · doi:10.1016/j.mito.2021.12.003 · Cited by 1
Monoamine Neurotransmitters and Drug Addiction
Zimny, E. (2023) · Science Insights · doi:10.15354/si.23.re216 · Cited by 1
Gorina, Y. V., Kharitonova, E. V., Хилажева, Е. Д., Асатовна, С. А., Morgun, A. V., Komleva, Y. K., Lopatina, O. L., & Salmina, A. B. (2023) · Cell and Tissue Biology · doi:10.1134/s1990519x23020062 · Cited by 1
Brandt, M. J. V., Nijboer, C. H. A., van Elburg, R. M., Benders, M. J. N. L., & de Theije, C. G. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90052-2.00032-9 · Cited by 1
Oh, S.-E., Shin, H. J., Park, C.-K., & Park, H.-Y. L. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12134221 · Cited by 1
Functional Network of Neurocognitive Development in Correlations of BOLD Signals
Saurabh, S., & Gupta, P. K. (2023) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2570/1/012027 · Cited by 1
Soca, R., Gedeon, T., & Attarian, H. P. (2024) · Medical Hypotheses · doi:10.1016/j.mehy.2024.111336 · Cited by 2
Das, S. K., Hanna, G. B., Sun, H., & Biswal, B. B. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1571682 · Cited by 1
Metabolic Injury of Oligodendrocytes and Myelin
Stys, P. K. (2012) · Oxford University Press eBooks · doi:10.1093/med/9780199794591.003.0052 · Cited by 1
Entropy estimation within in vitro neural-astrocyte networks as a measure of development instability
Teneggi, J., Chen, X., Balu, A., Barrett, C., Grisolia, G., Lucia, U., & Dzakpasu, R. (2021) · Physical review. E · doi:10.1103/physreve.103.042412 · Cited by 1
Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission
Miner, D. C., Wörgötter, F., Tetzlaff, C., & Fauth, M. J. (2021) · Biology · doi:10.3390/biology10070577 · Cited by 1
Okimoto, N., Ishida, M., Abé, H., Ikemura, M., Fujimoto, K., Kanemaru, N., Ushiku, T., Abe, O., & Gonoi, W. (2021) · Radiology Case Reports · doi:10.1016/j.radcr.2021.04.065 · Cited by 1
Yang, S., Niou, Z., Enriquez, A., LaMar, J., Huang, J.-Y., Ling, K., Jafar‐Nejad, P., Gilley, J., Coleman, M. P., Tennessen, J. M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.06.479307 · Cited by 2
Identification of synchronous BOLD signal patterns in white matter of primate spinal cordPreprint
Sengupta, A., Mishra, A., Wang, F., Chen, L., & Gore, J. C. (2023) · Research Square · doi:10.21203/rs.3.rs-2389151/v1 · Cited by 1
Mitochondria induce anisotropy and delays in action potential conductionPreprint
Castelfranco, A. M., & Alcamí, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.28.534468 · Cited by 1
NMNAT2 supports vesicular glycolysis via NAD homeostasis to fuel fast axonal transportPreprint
Yang, S., Niou, Z., Enriquez, A., LaMar, J., Huang, J.-Y., Ling, K., Jafar‐Nejad, P., Gilley, J., Coleman, M. P., Tennessen, J. M., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2859584/v1 · Cited by 1
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. (2025) · eLife · doi:10.7554/elife.99940.3 · Cited by 1
Efficiency in neural information processing
Knuutila, A. (2012) · Työväentutkimus Vuosikirja
The Interplay Between White Matter, Mitochondria, and Neuroprotection
Stetler, R. A., Leak, R. K., Jing, Z., Hu, X., Gao, Y., Cao, G., & Chen, J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-9123-1_22
Filley, C. M. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781139548878.005
Role of Mitochondria in TNF-alpha Neurotoxicity in Stroke
Doll, D. N. (2015) · doi:10.33915/etd.5502
Unser hungriges Gehirn: Welche Rolle spielen Gliazellen bei der Energieversorgung?
Deitmer, J. W., Theparambil, S. M., Ruminot, I., & Becker, H. M. (2017) · e-Neuroforum · doi:10.1515/nf-2016-1102
Cable Energy Function of Cortical Axons: Equivalent FormulasPreprint
Jiao, Z., & Yu, Y. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/341701
Li, W., Qu, Y., Mu, D., & Tang, J. (2018) · PubMed Central · doi:10.7499/j.issn.1008-8830.2018.10.017
Metabolism of oligodendrocytes and its involvement in axo‐glia interaction
Trevisiol, A. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7324
Díaz, E., & Guerrero-Espino, L. M. (2020) · Revista Ciencia y Tecnología · doi:10.17268/rev.cyt.2020.03.02
Louie, A. Y., Kim, J., Soto‐Díaz, K., Dibaeinia, P., Koito, H., Sinha, S., Nowak, R. A., Das, A., & Steelman, A. J. (2021) · Research Square · doi:10.21203/rs.3.rs-310861/v1
Тунсер, М., Пехливаноглу, Б., Суруджу, С. Х., & İşbir, T. (2021) · Biochemistry (Moscow) · doi:10.31857/s0320972521050079
Myelin lipids are energy reserves in the nervous system
Asadollahi, E. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8099
Physiology of PNS axons relies on glycolytic metabolism in myelinating Schwann cellsPreprint
Deck, M., van Hameren, G., Campbell, G. R., Bernard‐Marissal, N., Devaux, J. J., Berthelot, J., Lattard, A., Médard, J., Gautier, B., Quintana, P., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.23.049056 · Cited by 1
Luo, J. X. X. (2021) · eScholarship@McGill (McGill) · doi:10.82308/21669
Endow, S. A. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734871596.793563841
Tabet, N., & Raczek, G. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108593946.008
Introduction to Functional Magnetic Resonance Imaging: Understanding the Measured Signal
Rotshtein, P., & Raghavan, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00168-7
Austerschmidt, L. J., Schottler, N., Miller, A., & Baker, M. D. (2021) · Research Square · doi:10.21203/rs.3.rs-689561/v1
Peters, A. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736011572.793561768
Theriault, J. E. (2022) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/42juc
Along-tract quantification of resting-state BOLD hemodynamic response functions in white matterPreprint
Schilling, K. G., Li, M., Rheault, F., Ding, Z., Anderson, A. W., Kang, H., Landman, B. A., & Gore, J. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.09.495555
Verkhratsky, A., & Butt, A. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821565-4.00003-1
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. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.26.559571
Spinal Cord Vasculature: General Anatomy and Physiology
Pavel, J., Kellerova, E., & Fedorová, J. (2023) · Springer eBooks · doi:10.1007/978-3-031-39558-1_6
Gorina, Y. V., Kharitonova, E. V., Хилажева, Е. Д., Асатовна, С. А., Morgun, A. V., Komleva, Y. K., Lopatina, O. L., & Salmina, A. B. (2023) · Tsitologiya · doi:10.31857/s0041377123010042
Pagel, J. F. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99738-6.00004-6
The Morphology of Normal, Aging, and Glaucomatous Optic Nerves
Jakobs, T. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13820-1.00123-7
Ren, J., Xiaoxia, L., Zhang, R., Wang, Y., Chen, X., Fu, L., Li, Q., & Zhang, C. (2024) · Research Square · doi:10.21203/rs.3.rs-4722455/v1
Montgomery, R. M. (2024) · Preprints.org · doi:10.20944/preprints202408.0317.v1
Human short association fibers are thinner and less myelinated than long fibersPreprint
Ruthig, P., Planitz, D. E. V. D., Morozova, M., Reimann, K., Jäger, C., Reinert, T., Mohammadi, S., Weiskopf, N., Kirilina, E. P., & Morawski, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.21.619354
Dubey, P., Datta, R., Eckenhoff, R. G., & Bedell, V. M. (2026) · PLoS ONE · doi:10.1371/journal.pone.0316959
Astrocyte Ca 2+ activity regulates node of Ranvier length in the white matterPreprint
Lezmy, J., Quintela‐López, T., Woermann, N., Mao, S., Thompson, C., & Attwell, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.17.633566
Self-citationMyelination selectively modulates BOLD signal in white matterPreprint
Gao, Y., Xu, L., Schilling, K. G., Choi, S., Chen, R., Li, Y., Li, M., Zu, Z., Ding, Z., Anderson, A. W., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6597153/v1
Morphology of Oligodendroglial Cells
Butt, A. M., Willis, A., Stevens, R., Hunter, I., & Nishiyama, A. (2025) · Advances in neurobiology · doi:10.1007/978-3-031-87919-7_5
Ji, Y., Rao, J., & Wu, X. (2025) · Neuroreport · doi:10.1097/wnr.0000000000002207
Farnum, I. N., Kunkel, T. J., Coombs, A. M., Emery, B., & Chavali, M. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1881-25.2026
Metabolic quantum limit to the information capacity of magnetoencephalography
Gkoudinakis, E., Li, S., & Kominis, I. K. (2026) · Physical Review Research · doi:10.1103/kqxb-y7p9
Early brain changes in Lyme disease are associated with clinical outcomes
Marvel, C. L., Rebman, A. W., Alm, K. H., Touradji, P., Bakker, A., Nadkarni, P. A., Bhattacharya, D., Morgan, O. P., Mistri, A., Sandino, C. C., et al. (2025) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2025.101153
Piller, M., Doan, R. A., Call, C. L., Smith, S. M., & Monk, K. R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.12.694003
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611526
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611523
Kim, K.-S., Jeon, M. T., Kim, E. S., Lee, C. H., & Kim, D.-G. (2022) · Figshare · doi:10.6084/m9.figshare.21019150
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611514
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611505
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611511
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611520
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611517
Louie, A. Y., Kim, J., Drnevich, J., Dibaeinia, P., Koito, H., Sinha, S., McKim, D. B., Soto‐Díaz, K., Nowak, R. A., Das, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26611508
ATP-sensitive potassium channels in neurons: Roles in and beyond metabolic control
Leão, R. M., Migliaccio, M. M., de Siqueira, D. F., & Barbosa, P. S. Z. (2026) · Current topics in membranes · doi:10.1016/bs.ctm.2026.01.001
From cellular cognition to psychopathology: a three-level framework of biological decision-making
Guerrero, G. L. N. (2026) · Medical Hypotheses · doi:10.1016/j.mehy.2026.111914
Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter
Ayyıldız, N., Mueller, K., Hardikar, S., Beyer, F., Enzenbach, C., Baber, R., Wirkner, K., Zachariae, S., Girbardt, J., Hassett, J. D., et al. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1174
Wellman, S. M., Guzman, K., Suematsu, N., Thai, T. T. D., Tung, T.-H., Padilla, C. G., Sridhar, S., Chen, K., Cambi, F., & Kozai, T. D. Y. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae4d8b · Cited by 1
Zhang, W., Raghavan, S., Tian, J., Przybelski, S. A., Wiste, H. J., Fought, A. J., Senjem, M. L., Schwarz, C. G., Reid, R. I., Machulda, M. M., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70707-6 · Cited by 1
Hoffman, J., Heo, J., Clary, B. L., Zheng, T., Rui, K., Gonsalves, N., Karumbaiah, L., Mortensen, L. J., & Call, J. A. (2026) · Journal of Neurophysiology · doi:10.1152/jn.00026.2026
van Hameren, G. (2018) · theses.fr (ABES) · doi:10.70675/71c15a42zb6d9z4edazb7c1zd3f51e09c949
Brain anoxia : a multiscale and multi structure study
Carrion‐Falgarona, S. (2024) · theses.fr (ABES) · doi:10.70675/0b2670f6z5366z4a56za002z7619042a847c
Optical development to image brain activity at extreme depth
Suarez-Baquero, D. E. (2024) · theses.fr (ABES) · doi:10.70675/b2f8ef6ezf2b3z43edzb579z3f1b4da5b767
Pharmacogenomic identification of small molecules promoting oligodendrogenesis and myelin repair
Huré, J.-B. (2022) · theses.fr (ABES) · doi:10.70675/17691e80z7bacz455fzba89z49fef7be0512
Separable cellular correlates of visual acuity and lifespan in mammalian primary visual cortexPreprint
Miller, D. J., & Kaas, J. H. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.08.716558
Yu, Z., Chen, H., Zhang, Z., Xiong, Y., Zha, J., Deng, L., & Zhang, X. (2026) · International Journal of Neuroscience · doi:10.1080/00207454.2026.2658643
Guo, X., Li, H., Huang, Y., Zhao, L., Wang, Z., Zhu, X., Zeng, P., Huang, Y., Gao, H., Cen, X., et al. (2026) · Toxicology · doi:10.1016/j.tox.2026.154482
Hypoxia‐induced vulnerability of the somatosensory nervous system
Corbett, J., & Hulse, R. P. (2026) · The Journal of Physiology · doi:10.1113/jp290625
Oligodendrocytes as an emerging therapeutic targets in neurological disorders
Pallem, K. L. S., Md, F., Khushboo, & Gupta, U. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33623-2.00015-5
Cortical and white matter myelination proceed in concert during early infancy
Zika, S., Chang, K., Orhon, A., Kruper, J., Tyagi, C., Yan, X., Tung, S. S., Kalanit Grill-spector, A., Rokem, A., & Grotheer, M. (2026) · Nature Communications · doi:10.1038/s41467-026-73366-9 · Cited by 2
Izagirre‐Urizar, L., Mora-Huerta, L., Soler-Sáez, I., Morales‐Gallel, R., Masson, M. L. P., Ulloa-Navas, M. J., Chara, J. C., Calovi, S., Deboux, C., Merino‐Cacho, L., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74488-w · Cited by 4
Kotler, O., Khrapunsky, Y., Melamed, I., Peles, E., Ross, W. N., & Fleidervish, I. A. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2536534123
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