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Published on: February 4, 2016
Human θ burst stimulation enhances subsequent motor learning and increases performance variability.
James T H Teo1, Orlando B C Swayne, Binith Cheeran
1Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London WC1N 3BG, UK.
Cerebral Cortex (New York, N.Y. : 1991)
|December 4, 2010
Summary
Intermittent theta burst stimulation (iTBS) enhances motor learning by increasing performance variability. However, nicotine blocks this learning enhancement, potentially by altering cortical signal-to-noise ratio.
Area of Science:
- Neuroscience
- Motor Control
- Neuroplasticity
Background:
- Intermittent theta burst stimulation (iTBS) transiently increases motor cortex excitability, potentially via long-term potentiation (LTP).
- Nicotine is known to enhance iTBS-induced cortical excitability.
- Motor task acquisition involves increased cortical excitability and presumed intracortical LTP.
Purpose of the Study:
- To investigate the effects of iTBS and nicotine on subsequent motor learning.
- To explore mechanisms beyond synaptic strengthening that might influence motor learning.
- To determine if iTBS influences motor output variability and if nicotine modulates this effect.
Main Methods:
- A double-blinded, placebo-controlled trial involving ten healthy subjects.
- Administration of iTBS and nicotine (or placebo).
- Assessment of motor learning rates, performance variability, and transcranial magnetic stimulation (TMS)-evoked motor output.
Main Results:
- iTBS alone significantly increased the rate of motor learning.
- Nicotine administration blocked the learning-enhancing effect of iTBS.
- iTBS increased motor performance variability, which correlated with learning outcomes; nicotine negated this variability increase.
Conclusions:
- iTBS facilitates motor learning not only through synaptic plasticity but also by increasing motor output variability.
- Nicotine counteracts the beneficial effects of iTBS on motor learning, possibly by modulating the signal-to-noise ratio in the cerebral cortex.
- These findings highlight complex interactions between neuromodulation, synaptic plasticity, and motor output variability in motor learning.
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