The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Learning Modifies Subsequent Induction of Long-Term Potentiation-Like and Long-Term Depression-Like Plasticity in Human Motor Cortex
Open accessAbstract
Learning may alter rapidly the output organization of adult motor cortex. It is a long-held hypothesis that modification of synaptic strength along cortical horizontal connections through long-term potentiation (LTP) and long-term depression (LTD) forms one important mechanism for learning-induced cortical plasticity. Strong evidence in favor of this hypothesis was provided for rat primary motor cortex (M1) by showing that motor learning reduced subsequent LTP but increased LTD. Whether a similar relationship exists in humans is unknown. Here, we induced LTP-like and LTD-like plasticity in the intact human M1 by an established paired associative stimulation (PAS) protocol. PAS consisted of 200 pairs of electrical stimulation of the right median nerve, followed by focal transcranial magnetic stimulation of the hand area of the left M1 at an interval equaling the individual N20 latency of the median nerve somatosensory-evoked cortical potential (PAS N20 ) or N20-5 msec (PAS N20-5 ). PAS N20 induced reproducibly a LTP-like long-lasting (>30 min) increase in motor-evoked potentials from the left M1 to a thumb abductor muscle of the right hand, whereas PAS N20-5 induced a LTD-like decrease. Repeated fastest possible thumb abduction movements resulted in learning, defined by an increase in maximum peak acceleration of the practiced movements, and prevented subsequent PAS N20 -induced LTP-like plasticity but enhanced subsequent PAS N20-5 -induced LTD-like plasticity. The same number of repeated slow thumb abduction movements did not result in learning and had no effects on PAS-induced plasticity. Findings support the view that learning in human M1 occurs through LTP-like mechanisms.
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Citations
Cites
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896
Rapid plasticity of human cortical movement representation induced by practice
Classen, J., Liepert, J., Wise, S. P., Hallett, M., & Cohen, L. G. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.2.1117 · Cited by 1,156
Early consolidation in human primary motor cortex
Muellbacher, W., Ziemann, U., Wissel, J., Dang, N., Kofler, M., Facchini, S., Boroojerdi, B., Poewe, W., & Hallett, M. (2002) · Nature · doi:10.1038/nature712 · Cited by 803 · cited 12×
“LTD group, 40.9 29.1%) is consistent with previous MP experiments ( Muellbacher et al., 2001, 2002 ).”
BackgroundMethodResultInfluentialSelf-citationMotor learning elicited by voluntary drive
Lotze, M. (2003) · Brain · doi:10.1093/brain/awg079 · Cited by 691
Functional anatomy of human procedural learning determined with regional cerebral blood flow and PET
Grafton, S., Mazziotta, J., Presty, S., Friston, K., Frackowiak, R., & Phelps, M. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-07-02542.1992 · Cited by 607 · cited 2×
“…supplementary motor, dorsolateral prefrontal or parietal cortex, the cerebellum, and various subcortical sites such as the basal ganglia and thalamus may be involved in motor learning (Grafton et al., 1992; Honda et al., 1998; Toni et al., 1998), the present experiments were confined to M1.”
BackgroundDynamic cortical involvement in implicit and explicit motor sequence learning. A PET study
Honda, M. (1998) · Brain · doi:10.1093/brain/121.11.2159 · Cited by 370
Mechanisms influencing stimulus-response properties of the human corticospinal system
Boroojerdi, B., Battaglia, F., Muellbacher, W., & Cohen, L. G. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00523-5 · Cited by 256
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Neuroplasticity Subserving Motor Skill Learning
Dayan, E., & Cohen, L. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.008 · Cited by 1,408
Brain–computer interfaces in neurological rehabilitation
Daly, J. J., & Wolpaw, J. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70223-0 · Cited by 1,149
Inter-individual Variability in Response to Non-invasive Brain Stimulation Paradigms
López-Alonso, V., Cheeran, B., Río-Rodríguez, D., & Fernández-del-Olmo, M. (2014) · Brain Stimulation · doi:10.1016/j.brs.2014.02.004 · Cited by 810
Ridding, M. C., & Ziemann, U. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.190314 · Cited by 787
Self-citationEvidence for a cytokine model of cognitive function
McAfoose, J., & Baune, B. T. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.10.005 · Cited by 760
Metadata
- Authors
- Ziemann, U., Iliać, T. V., Pauli, C., Meintzschel, F., & Ruge, D.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2004-02-18
- Volume
- 24
- Issue
- 7
- Pages
- 1666-1672
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1991711453
- Cited by
- 588
- References
- 8
- FWCI
- 16.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ziemann, U., Iliać, T. V., Pauli, C., Meintzschel, F., & Ruge, D. (2004). Learning Modifies Subsequent Induction of Long-Term Potentiation-Like and Long-Term Depression-Like Plasticity in Human Motor Cortex. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.5016-03.2004
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