Activity-dependent energy budget for neocortical signaling: effect of short-term synaptic plasticity on the energy expended by spiking and synaptic activity
Abstract
The available estimate of the energy expended for signaling in rat neocortex is refined to examine the separate contribution of spiking and synaptic activity as a function of average neuronal firing rate. By taking into account a phenomenological model of short‐term synaptic plasticity, we show that the transition from low to high cortical activity is accompanied by a substantial increase in relative energy consumed by action potentials vs. synaptic potentials. This consideration might be important for a deeper understanding of how information is represented in the cortex and which metabolic pathways are upregulated to sustain cortical activity. © 2012 Wiley Periodicals, Inc.
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The local input-output balance between neuronal synaptic/spiking (or subthreshold/suprathreshold) activity is a primary determinant in the upregulation of aerobic glycolysis.
“Based on experimental evidence and metabolic modeling, we have previously proposed that the local input–output balance between neuronal synaptic/spiking (or subthreshold/suprathreshold) activity is a primary determinant in the upregulation of aerobic glycolysis (DiNuzzo and Giove, 2012; DiNuzzo et al., 2011; DiNuzzo and Nedergaard, 2017).”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as DiNuzzo and Giove, 2012
Distinct signaling mechanisms underlying spiking and synaptic activity (e.g., pre- and postsynaptic ionic currents) are frequency dependent and can explain the abovementioned outcome.
“Using compartmentalized metabolic modeling, we have recently obtained evidence that the abovementioned outcome can be explained by distinct signaling mechanisms underlying spiking and synaptic activity (e.g., pre- and postsynaptic ionic currents) that are indeed frequency dependent (DiNuzzo and Giove, 2012; DiNuzzo et al., 2014).”
From Perception is associated with the brain’s metabolic response to sensory stimulation (2022) · cites this paper as DiNuzzo and Giove, 2012
Cites
Differential signaling via the same axon of neocortical pyramidal neurons
Markram, H., Wang, Y., & Tsodyks, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.9.5323 · Cited by 1,102 · see citing works
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Mangia, S., Giove, F., Tkáč, I., Logothetis, N. K., Henry, P.-G., Olman, C. A., Maraviglia, B., Di Salle, F., & Uğurbil, K. (2009) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2008.134 · Cited by 161 · see citing works
Self-citationHardingham, N. R., Read, J. C. A., Trevelyan, A. J., Nelson, J. C., Jack, J. J. B., & Bannister, N. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3244-09.2010 · Cited by 57 · see citing works
Why does the brain (not) have glycogen?
DiNuzzo, M., Maraviglia, B., & Giove, F. (2011) · BioEssays · doi:10.1002/bies.201000151 · Cited by 53 · see citing works
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Cerebral Metabolic Changes During Sleep
Aalling, N. N., Nedergaard, M., & DiNuzzo, M. (2018) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-018-0868-9 · Cited by 101 · see citing works
Metabolic pathways and activity-dependent modulation of glutamate concentration in the human brain
Mangia, S., Giove, F., & DiNuzzo, M. (2012) · Neurochemical Research · doi:10.1007/s11064-012-0848-4 · Cited by 90 · see citing works
Self-citationPerception is associated with the brain’s metabolic response to sensory stimulation
DiNuzzo, M., Mangia, S., Moraschi, M., Mascali, D., Hagberg, G. E., & Giove, F. (2022) · eLife · doi:10.7554/elife.71016 · Cited by 25 · see citing works
“, pre- and postsynaptic ionic currents) that are indeed 333 frequency-dependent (DiNuzzo and Giove 2012; DiNuzzo et al. 2014).”
BackgroundInfluentialSelf-citation
- Authors
- DiNuzzo, M., & Giove, F.
- Affiliations
- Centro Ricerche Enrico Fermi (IT)
- Fondazione Santa Lucia (IT)
- Corresponding author
- DiNuzzo, Mauro
- Venue
- Journal of Neuroscience Research
- Publisher
- Wiley
- Published
- 2012-06-27
- Volume
- 90
- Issue
- 11
- Pages
- 2094-2102
- ISSN
- 0360-4012 (ISSN-L)
- 1097-4547
- OpenAlex
- W2021021445
- Cited by
- 16
- References
- 5
- Citations by year
- 2026: 2 · 2025: 2 · 2022: 2 · 2021: 1 · 2019: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2014: 1 · 2013: 3 · 2012: 1
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neuroscience Research (publishedVersion)
- PubMed (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- neocortex, energy expenditure, synaptic plasticity, short-term plasticity, neuronal firing rate, action potential, synaptic potentials, cortical activity, brain energy metabolism, phenomenological model, information representation
- MeSH terms
- Action Potentials, Animals, Energy Metabolism, Models, Neurological, Neuronal Plasticity, Neurons, Signal Transduction, Neocortex, Rats, Synaptic Potentials
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