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A Network Model of Inhibitory Effect Induced by Transcranial Magnetic Stimulation

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Document pages: 7 pages

Abstract: We studied inhibitory effects of transcranial magnetic stimulation (TMS) on neural population. TMS can affect the electromagnetic activities inside our brain with high temporal resolution and without any invasions. Due to these advantages, TMS is widely used as a powerful tool not only in cognitive neuroscience field but also as a clinical treatment. However, the neural mechanisms underlying the effect, especially in theoretical aspect, are quite unclear. In this study, we employed a simple neural population model and computationally analyzed their responses to a TMS-like brief pulsed perturbation. Aplying the perturbation, the averaged network activity transiently increased, and then decreased for relatively long lasting period followed by loss of a localized activity pattern. When afferent input has a strong transient component and weak sustained component, there exists a critical latency period in which the perturbation completely suppresses the network activity. These results suggest that inhibitory effects typically observed in TMS studies can be yielded by dynamical interaction in neural population.

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