The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Modifying motor learning through gating and homeostatic metaplasticity
Abstract
Synaptic plasticity in the motor cortex is involved at least in some forms of motor learning. Recent evidence showed that the extent of practice-dependent plasticity in the motor cortex can be purposefully enhanced by experimental manipulation. One way of improving motor learning is to transiently increase the excitability of the motor cortex during motor learning. This can be achieved by weakening the excitability of intracortical inhibitory circuits concurrently with practice. This principle is being referred to as "gating." Another strategy to boost learning is to decrease the threshold for induction of synaptic plasticity by lowering neuronal activity in the motor cortex before practice. This approach invokes homeostatic metaplasticity. Here we highlight how transcranial brain stimulation can exploit gating and homeostatic metaplasticity to enhance motor learning in healthy subjects and in patients after stroke.
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“yielding larger and long-lasting functional improvements that modify the impaired system (Cramer et al., 2011).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Ziemann and Siebner, 2008
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Cites
Theta Burst Stimulation of the Human Motor Cortex
Huang, Y.-Z., Edwards, M. J., Rounis, E., Bhatia, K. P., & Rothwell, J. C. (2005) · Neuron · doi:10.1016/j.neuron.2004.12.033 · Cited by 4,158
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896
Homeostatic plasticity in the developing nervous system
Turrigiano, G. G., & Nelson, S. B. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1327 · Cited by 2,485
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263
Depression of motor cortex excitability by low-frequency transcranial magnetic stimulation
Chen, R., Classen, J., Gerloff, C., Celnik, P., Wassermann, E. M., Hallett, M., & Cohen, L. G. (1997) · Neurology · doi:10.1212/wnl.48.5.1398 · Cited by 2,128
Molecular cloning and characterization of the rat NMDA receptor
Moriyoshi, K., Masu, M., Ishii, T., Shigemoto, R., Mizuno, N., & Nakanishi, S. (1991) · Nature · doi:10.1038/354031a0 · Cited by 1,771
Responses to rapid-rate transcranial magnetic stimulation of the human motor cortex
Pascual‐Leone, Á., Valls‐Solé, J., Wassermann, E. M., & Hallett, M. (1994) · Brain · doi:10.1093/brain/117.4.847 · Cited by 1,486
Induction of plasticity in the human motor cortex by paired associative stimulation
Stefan, K. (2000) · Brain · doi:10.1093/brain/123.3.572 · Cited by 1,484
Effects of non-invasive cortical stimulation on skilled motor function in chronic stroke
Hummel, F. C. (2005) · Brain · doi:10.1093/brain/awh369 · Cited by 1,141
Nitsche, M. A., Schauenburg, A., Lang, N., Liebetanz, D., Exner, C., Paulus, W., & Tergau, F. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321662994 · Cited by 1,032
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Monte-Silva, K. K., Kuo, M., Hessenthaler, S., Fresnoza, S. M., Liebetanz, D., Paulus, W., & Nitsche, M. A. (2012) · Brain stimulation · doi:10.1016/j.brs.2012.04.011 · Cited by 914
Ten years of theta burst stimulation in humans: Established knowledge, unknowns and prospects
Suppa, A., Huang, Y.-Z., Funke, K., Ridding, M. C., Cheeran, B., Di Lazzaro, V., Ziemann, U., & Rothwell, J. C. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.01.006 · Cited by 609
Self-citationKuo, M.-F., Paulus, W., & Nitsche, M. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.117 · Cited by 415
Rubia, K. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00100 · Cited by 384
“…improve task performance (Kuo and Nitsche, 2012), presumably via boosting training-induced plasticity through the addition of stimulation-induced plasticity (Ziemann and Siebner, 2008), yielding larger and long-lasting functional improvements that modify the impaired system (Cramer et al., 2011).”
BackgroundRandom Noise Stimulation Improves Neuroplasticity in Perceptual Learning
Fertonani, A., Pirulli, C., & Miniussi, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2002-11.2011 · Cited by 341
Metadata
- Authors
- Ziemann, U., & Siebner, H. R.
- Affiliations
- Goethe University Frankfurt (DE)
- Christian-Albrechts-Universität zu Kiel (DE)
- Corresponding author
- Ziemann, Ulf
- Venue
- Brain Stimulation
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 1
- Issue
- 1
- Pages
- 60-66
- ISSN
- 1876-4754 (ISSN-L)
- 1935-861X
- OpenAlex
- W2031034560
- Cited by
- 269
- References
- 73
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 13 · 2023: 12 · 2022: 15 · 2021: 24 · 2020: 19 · 2019: 19 · 2018: 21 · 2017: 12 · 2016: 19 · 2015: 26 · 2014: 16 · 2013: 19 · 2012: 15
- FWCI
- 0.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain stimulation (publishedVersion)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- motor learning, motor cortex, synaptic plasticity, gating, intracortical inhibition, cortical excitability, transcranial brain stimulation, stroke rehabilitation
- MeSH terms
- Stroke Rehabilitation, Homeostasis, Humans, Learning, Motor Activity, Motor Cortex, Neuronal Plasticity, Stroke, Transcranial Magnetic Stimulation
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