The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Neuronal Firing Rate Homeostasis Is Inhibited by Sleep and Promoted by Wake
Open accessAbstract
SUMMARY Homeostatic mechanisms stabilize neural circuit function by keeping firing rates within a set-point range, but whether this process is gated by brain state is unknown. Here, we monitored firing rate homeostasis in individual visual cortical neurons in freely behaving rats as they cycled between sleep and wake states. When neuronal firing rates were perturbed by visual deprivation, they gradually returned to a precise, cell-autonomous set-point during periods of active wake, with lengthening of the wake period enhancing firing rate rebound. Unexpectedly, this resetting of neuronal firing was suppressed during sleep. This raises the possibility that memory consolidation or other sleep-dependent processes are vulnerable to interference from homeostatic plasticity mechanisms.
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Cites
Sleep Drives Metabolite Clearance from the Adult Brain
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411
Tononi, G., & Cirelli, C. (2014) · Neuron · doi:10.1016/j.neuron.2013.12.025 · Cited by 2,356
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263 · cited 2×
“…is abundant theoretical and experimental evidence that network stability is achieved through homeostatic plasticity mechanisms that adjust synaptic and neuronal properties to stabilize some measure of average activity (Turrigiano et al., 1998; Abbott and Nelson, 2000; Turrigiano and Nelson, 2004).”
Activity-dependent scaling of quantal amplitude in neocortical neurons
Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
Self-citationSynaptic scaling mediated by glial TNF-α
Stellwagen, D., & Malenka, R. C. (2006) · Nature · doi:10.1038/nature04671 · Cited by 1,715
Coordinated memory replay in the visual cortex and hippocampus during sleep
Ji, D., & Wilson, M. A. (2007) · Nature Neuroscience · doi:10.1038/nn1825 · Cited by 1,669
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., & Grenier, F. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.5.1969 · Cited by 1,296
Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function
Turrigiano, G. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005736 · Cited by 1,139 · cited 2×
“, 2010); however, the relationship between changes in mEPSC frequency and synaptic strength is unclear, and neocortical synaptic scaling is generally reported to affect mEPSC amplitude (and thus postsynaptic strength) rather than mEPSC frequency (Turrigiano, 2012).”
Self-citationHighly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081
Vyazovskiy, V. V., Cirelli, C., Pfister-Genskow, M., Faraguna, U., & Tononi, G. (2008) · Nature Neuroscience · doi:10.1038/nn2035 · Cited by 837 · cited 1×
“Some studies (Vyazovskiy et al., 2008, 2009), but not others (Grosmark et al., 2012), have observed an increase in firing across waking epochs.”
Extensive and divergent effects of sleep and wakefulness on brain gene expression
Cirelli, C., Gutierrez, C. M., & Tononi, G. (2004) · Neuron · doi:10.1016/s0896-6273(03)00814-6 · Cited by 627
Critical periods for experience-dependent synaptic scaling in visual cortex
Desai, N. S., Cudmore, R. H., Nelson, S. B., & Turrigiano, G. G. (2002) · Nature Neuroscience · doi:10.1038/nn878 · Cited by 582
Self-citationSleep Enhances Plasticity in the Developing Visual Cortex
Frank, M. G., Issa, N. P., & Stryker, M. P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00279-3 · Cited by 523
Small modulation of ongoing cortical dynamics by sensory input during natural vision.
Fiser, J., Chiu, C., & Weliky, M. (2004) · Nature · doi:10.1038/nature02907 · Cited by 423
New neurons in the adult brain: the role of sleep and consequences of sleep loss
Meerlo, P., Mistlberger, R. E., Jacobs, B. L., Craig Heller, H., & McGinty, D. (2009) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2008.07.004 · Cited by 318
Multiple Modes of Network Homeostasis in Visual Cortical Layer 2/3
Maffei, A., & Turrigiano, G. G. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5298-07.2008 · Cited by 282
Self-citationMechanisms of sleep-dependent consolidation of cortical plasticity
Aton, S. J., Seibt, J., Dumoulin, M., Jha, S. K., Steinmetz, N., Coleman, T., Naidoo, N., & Frank, M. G. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.007 · Cited by 244
Synaptic scaling requires the GluR2 subunit of the AMPA receptor
Gainey, M. A., Hurvitz-Wolff, J. R., Lambo, M. E., & Turrigiano, G. G. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3753-08.2009 · Cited by 234
Self-citationNelson, S. B., & Turrigiano, G. G. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.020 · Cited by 233
Self-citationCortical state determines global variability and correlations in visual cortex
Schölvinck, M. L., Saleem, A. B., Benucci, A., Harris, K. D., & Carandini, M. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4994-13.2015 · Cited by 198
Insufficient Sleep Reversibly Alters Bidirectional Synaptic Plasticity and NMDA Receptor Function
Kopp, C., Longordo, F., Nicholson, J. R., & Lüthi, A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2702-06.2006 · Cited by 192
Stimulus feature selectivity in excitatory and inhibitory neurons in primary visual cortex
Cardin, J. A., Palmer, L. A., & Contreras, D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1692-07.2007 · Cited by 185
The interplay between Hebbian and homeostatic synaptic plasticity
Vitureira, N., & Goda, Y. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201306030 · Cited by 152
Sleep promotes cortical response potentiation following visual experience
Aton, S. J., Suresh, A., Broussard, C., & Frank, M. G. (2014) · SLEEP · doi:10.5665/sleep.3830 · Cited by 122
Aton, S. J., Broussard, C., Dumoulin, M., Seibt, J., Watson, A., Coleman, T., & Frank, M. G. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208093110 · Cited by 113
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Homer1a drives homeostatic scaling-down of excitatory synapses during sleep
Diering, G. H., Nirujogi, R. S., Roth, R. H., Worley, P. F., Pandey, A., & Huganir, R. L. (2017) · Science · doi:10.1126/science.aai8355 · Cited by 516
Critical period regulation across multiple timescales
Reh, R. K., Dias, B. G., Nelson, C. A., Kaufer, D., Werker, J. F., Kolb, B., Levine, J. D., & Hensch, T. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820836117 · Cited by 492
Different Neuronal Activity Patterns Induce Different Gene Expression Programs
Tyssowski, K. M., DeStefino, N. R., Cho, J.-H., Dunn, C. J., Poston, R. G., Carty, C. E., Jones, R. D., Chang, S. M., Romeo, P., Wurzelmann, M. K., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.04.001 · Cited by 390
Oscillating circuitries in the sleeping brain
Adamantidis, A. R., Gutierrez Herrera, C., & Gent, T. C. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0223-4 · Cited by 281
Exploring phylogeny to find the function of sleep
Anafi, R. C., Kayser, M. S., & Raizen, D. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0098-9 · Cited by 259
Metadata
- Authors
- Hengen, K. B., Torrado Pacheco, A., McGregor, J. N., Van Hooser, S. D., & Turrigiano, G. G.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 165
- Issue
- 1
- Pages
- 180-191
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2301435817
- Cited by
- 306
- References
- 25
- FWCI
- 23.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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