The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Synaptic Control of Motoneuronal Excitability
Open accessAbstract
Movement, the fundamental component of behavior and the principal extrinsic action of the brain, is produced when skeletal muscles contract and relax in response to patterns of action potentials generated by motoneurons. The processes that determine the firing behavior of motoneurons are therefore important in understanding the transformation of neural activity to motor behavior. Here, we review recent studies on the control of motoneuronal excitability, focusing on synaptic and cellular properties. We first present a background description of motoneurons: their development, anatomical organization, and membrane properties, both passive and active. We then describe the general anatomical organization of synaptic input to motoneurons, followed by a description of the major transmitter systems that affect motoneuronal excitability, including ligands, receptor distribution, pre- and postsynaptic actions, signal transduction, and functional role. Glutamate is the main excitatory, and GABA and glycine are the main inhibitory transmitters acting through ionotropic receptors. These amino acids signal the principal motor commands from peripheral, spinal, and supraspinal structures. Amines, such as serotonin and norepinephrine, and neuropeptides, as well as the glutamate and GABA acting at metabotropic receptors, modulate motoneuronal excitability through pre- and postsynaptic actions. Acting principally via second messenger systems, their actions converge on common effectors, e.g., leak K+current, cationic inward current, hyperpolarization-activated inward current, Ca 2+channels, or presynaptic release processes. Together, these numerous inputs mediate and modify incoming motor commands, ultimately generating the coordinated firing patterns that underlie muscle contractions during motor behavior.
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Cites
The Integrative Action of the Nervous System.
Sherrington, C. (1907) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-190734120-00021 · Cited by 4,136
The Glutamate Receptor Ion Channels
Dingledine, R., Borges, K., Bowie, D., & Traynelis, S. F. (1999) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01394-2 · Cited by 3,554
Monyer, H., Burnashev, N., Laurie, D. J., Sakmann, B., & Seeburg, P. H. (1994) · Neuron · doi:10.1016/0896-6273(94)90210-0 · Cited by 3,535
Steinbusch, H. W. M. (1981) · Neuroscience · doi:10.1016/0306-4522(81)90146-9 · Cited by 2,415
Macdonald, R. L., & Olsen, R. W. (1994) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.17.030194.003033 · Cited by 1,975
Swanson, L. W., & Kuypers, H. G. J. M. (1980) · Journal of Comparative Neurology · doi:10.1002/cne.901940306 · Cited by 1,413
Changing subunit composition of heteromeric NMDA receptors during development of rat cortex
Sheng, M., Cummings, J., Roldan, L. A., Jan, Y. N., & Jan, L. Y. (1994) · Nature · doi:10.1038/368144a0 · Cited by 1,377
Shigemoto, R., Kinoshita, A., Wada, E., Nomura, S., Ohishi, H., Takada, M., Flor, P. J., Neki, A., Abe, T., Nakanishi, S., et al. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-19-07503.1997 · Cited by 1,116
A family of metabotropic glutamate receptors
Tanabe, Y., Masu, M., Ishii, T., Shigemoto, R., & Nakanishi, S. (1992) · Neuron · doi:10.1016/0896-6273(92)90118-w · Cited by 940
Baude, A., Nusser, Z., Roberts, J. D. B., Mulvihill, E., Jeffrey Mcllhinney, R. A., & Somogyi, P. (1993) · Neuron · doi:10.1016/0896-6273(93)90086-7 · Cited by 927
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Doyle, J. P., Dougherty, J. D., Heiman, M., Schmidt, E. F., Stevens, T. R., Ma, G., Bupp, S., Shrestha, P., Shah, R. D., Doughty, M. L., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.029 · Cited by 912
Skeletal muscle performance and ageing
Tieland, M., Trouwborst, I., & Clark, B. C. (2018) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12238 · Cited by 904
Del Negro, C. A., Funk, G. D., & Feldman, J. L. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0003-6 · Cited by 663
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Mitchell, S. J., & Silver, R. A. (2003) · Neuron · doi:10.1016/s0896-6273(03)00200-9 · Cited by 602
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Talley, E. M., Solórzano, G., Lei, Q., Kim, D., & Bayliss, D. A. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-19-07491.2001 · Cited by 573
Self-citationHeckman, C. J., & Enoka, R. M. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c100087 · Cited by 414
Clark, B. C., & Manini, T. M. (2012) · Nutrition · doi:10.1016/j.nut.2011.12.002 · Cited by 414
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Hanson, M. G., & Landmesser, L. T. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-02-00587.2003 · Cited by 276
Apostolova, I., Irintchev, A., & Schachner, M. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1526-06.2006 · Cited by 166
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Activation imbalances in lumbar spine muscles in the presence of chronic low back pain
Oddsson, L. I. E., & De Luca, C. J. (2003) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01183.2001 · Cited by 147
Oya, T., Riek, S., & Cresswell, A. G. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.175695 · Cited by 136
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Modeling motor neuron disease: the matter of time
Arbab, M., Baars, S., & Geijsen, N. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.07.008 · Cited by 33
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The RNA exosome maintains cellular RNA homeostasis by controlling transcript abundance in the brain
Higginson, L. A., Wang, X., He, K., Torstrick, M., Kim, M., Wijeratne, H. R. S., Runnebohm, A. M., Benayoun, B. A., MacLean, A., Chanfreau, G. F., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2025.116729 · Cited by 7
Metadata
- Authors
- Rekling, J. C., Funk, G. D., Bayliss, D. A., Dong, X.-W., & Feldman, J. L.
- Venue
- Physiological Reviews
- Publisher
- American Physiological Society
- Published
- 2000-01-04
- Volume
- 80
- Issue
- 2
- Pages
- 767-852
- ISSN
- 0031-9333 (ISSN-L)
- 1522-1210
- OpenAlex
- W2110655603
- Cited by
- 607
- References
- 24
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- green
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