Numerical modelling of plasticity induced by transcranial magnetic stimulation

被引:0
作者
M. T. Wilson
D. P. Goodwin
P. W. Brownjohn
J. Shemmell
J. N. J. Reynolds
机构
[1] University of Waikato,School of Engineering, Faculty of Science and Engineering
[2] University of Otago,School of Physical Education
[3] University of Otago School of Medical Sciences,Department of Anatomy
来源
Journal of Computational Neuroscience | 2014年 / 36卷
关键词
Transcranial magnetic stimulation; Plasticity; Modelling; Theta burst stimulation; Neural field theory;
D O I
暂无
中图分类号
学科分类号
摘要
We use neural field theory and spike-timing dependent plasticity to make a simple but biophysically reasonable model of long-term plasticity changes in the cortex due to transcranial magnetic stimulation (TMS). We show how common TMS protocols can be captured and studied within existing neural field theory. Specifically, we look at repetitive TMS protocols such as theta burst stimulation and paired-pulse protocols. Continuous repetitive protocols result mostly in depression, but intermittent repetitive protocols in potentiation. A paired pulse protocol results in depression at short ( < ∼ 10 ms) and long ( > ∼ 100 ms) interstimulus intervals, but potentiation for mid-range intervals. The model is sensitive to the choice of neural populations that are driven by the TMS pulses, and to the parameters that describe plasticity, which may aid interpretation of the high variability in existing experimental results. Driving excitatory populations results in greater plasticity changes than driving inhibitory populations. Modelling also shows the merit in optimizing a TMS protocol based on an individual’s electroencephalogram. Moreover, the model can be used to make predictions about protocols that may lead to improvements in repetitive TMS outcomes.
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页码:499 / 514
页数:15
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