Haggie Lysea, Besier Thor, McMorland Angus
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Department of Exercise Sciences, University of Auckland, Auckland, New Zealand.
Netw Neurosci. 2024 Apr 1;8(1):96-118. doi: 10.1162/netn_a_00341. eCollection 2024.
Transcranial magnetic stimulation (TMS) is a popular method used to investigate brain function. Stimulation over the motor cortex evokes muscle contractions known as motor evoked potentials (MEPs) and also high-frequency volleys of electrical activity measured in the cervical spinal cord. The physiological mechanisms of these experimentally derived responses remain unclear, but it is thought that the connections between circuits of excitatory and inhibitory neurons play a vital role. Using a spiking neural network model of the motor cortex, we explained the generation of waves of activity, so called 'I-waves', following cortical stimulation. The model reproduces a number of experimentally known responses including direction of TMS, increased inhibition, and changes in strength. Using populations of thousands of neurons in a model of cortical circuitry we showed that the cortex generated transient oscillatory responses without any tuning, and that neuron parameters such as refractory period and delays influenced the pattern and timing of those oscillations. By comparing our network with simpler, previously proposed circuits, we explored the contributions of specific connections and found that recurrent inhibitory connections are vital in producing later waves that significantly impact the production of motor evoked potentials in downstream muscles (Thickbroom, 2011). This model builds on previous work to increase our understanding of how complex circuitry of the cortex is involved in the generation of I-waves.
经颅磁刺激(TMS)是一种用于研究脑功能的常用方法。对运动皮层进行刺激会诱发称为运动诱发电位(MEP)的肌肉收缩,同时还会在颈脊髓中测量到高频电活动群。这些实验得出的反应的生理机制尚不清楚,但人们认为兴奋性和抑制性神经元回路之间的连接起着至关重要的作用。我们使用运动皮层的脉冲神经网络模型,解释了皮层刺激后所谓的“I波”活动波的产生。该模型再现了许多实验已知的反应,包括TMS的方向、抑制增加和强度变化。在皮层回路模型中使用数千个神经元群体,我们表明皮层产生了无任何调谐的瞬态振荡反应,并且诸如不应期和延迟等神经元参数影响了这些振荡的模式和时间。通过将我们的网络与先前提出的更简单的电路进行比较,我们探索了特定连接的贡献,发现递归抑制连接对于产生后期波至关重要,这些后期波会显著影响下游肌肉中运动诱发电位的产生(Thickbroom,2011)。该模型建立在先前工作的基础上,以增进我们对皮层复杂电路如何参与I波产生的理解。