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<p>Transcranial magneto-acoustical stimulation (TMAS) is a&#xa0;promising non-invasive brain stimulation technique that could be potentially applied in treating neurodegenerative diseases such as Parkinson’s disease. However, how TMAS modulates desynchronization of neural networks is not yet clear. In this paper, we studied the effect of TMAS on a&#xa0;small world Hindmarsh-Rose neuron network and find how TMAS to control the network synchronization and desynchronization behaviors. The results showed that increasing the network model’s coupling strength or link-adding probability could drive the network into a&#xa0;synchronized state. When we applied TMAS to 10% of the network neurons, the network could be successfully desynchronized. Setting a&#xa0;modulation wave duty cycle of 40% ~ 70% and period of ~150 ms could yield the optimal desynchronization effect. We also found that increasing the ultrasound intensity can enhance the desynchronization of the network while fixing other stimulus parameters. The study provides useful insight on the TMAS-neural network interactions, which may contribute to TMAS application in treating neurodegenerative diseases.</p>

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Desynchronization of neural networks induced by transcranial magneto-acoustical stimulation: a modeling study

  • 期刊论文

  • 发表日期：

    2024年3月1日

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  • Zhenfang Ma,
  • Yuhui Yang,
  • Jianyang Xu,
  • Yi Ru,
  • Yu Yin

摘要

Transcranial magneto-acoustical stimulation (TMAS) is a promising non-invasive brain stimulation technique that could be potentially applied in treating neurodegenerative diseases such as Parkinson’s disease. However, how TMAS modulates desynchronization of neural networks is not yet clear. In this paper, we studied the effect of TMAS on a small world Hindmarsh-Rose neuron network and find how TMAS to control the network synchronization and desynchronization behaviors. The results showed that increasing the network model’s coupling strength or link-adding probability could drive the network into a synchronized state. When we applied TMAS to 10% of the network neurons, the network could be successfully desynchronized. Setting a modulation wave duty cycle of 40% ~ 70% and period of ~150 ms could yield the optimal desynchronization effect. We also found that increasing the ultrasound intensity can enhance the desynchronization of the network while fixing other stimulus parameters. The study provides useful insight on the TMAS-neural network interactions, which may contribute to TMAS application in treating neurodegenerative diseases.