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    National Tsing Hua University Institutional Repository > 生命科學院  > 系統神經科學研究所 > 博碩士論文 >  以神經網路模型模擬經顱性磁刺激在腦部運動皮層引起的神經可塑性

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/77250

    Title: 以神經網路模型模擬經顱性磁刺激在腦部運動皮層引起的神經可塑性
    Authors: 顏煜洋
    Lo, Chung-Chun
    Yen, Yu-yang
    教師: 羅中泉
    Date: 2012
    Keywords: 經顱性磁刺激
    Transcranial magnetic stimulation
    neural network
    synaptic plasticity
    calcium-dependent plasticity
    computational model
    Abstract: 經顱性磁刺激(transcranial magnetic stimulus, TMS)近年在有關腦部神經的醫療及研究上相當的受重視,因為它不必藉由手術或穿刺來對腦部神經元進行刺激,是種非侵入性的方式。TMS在舒緩神經性疾病造成的運動障礙症方面十分的有潛力,但目前只知道TMS藉由改變腦部神經突觸可塑性來達成這個效果;至於TMS如何引起突觸可塑性的改變,詳細的機制仍未清楚。
    Transcranial magnetic stimulus (TMS) is a non-invasive remedy which had reported the ability in easing the motor disorders caused by neural diseases by inducing modifications in synaptic plasticity. TMS stimulate neurons by a massive but transient magnetic pulse, which creating an electromagnetic induction current within the focus. As a surgery-free method, it has been popular in brain research of medicine and research field. However, the detailed mechanism of TMS-induced plasticity change is still a mystery.
    In this study, we built a spiking neural network model of primary motor cortex to simulate the cortical activity and synaptic plasticity responding to TMS stimulations. At the same time, we develop a new hypothesis with single neuron circuit to describe the mechanism of plasticity change induced by TMS. The results are archived in the thesis written by Mr. Li-Rui Chen. (Title: A model of synaptic plasticity at multiple temporal scales for the neuronal plasticity induced by repetitive transcranial magnetic stimulations.)
    The cortical network model we built could emulate the full-featured activity aroused by TMS in the motor cortex. In model prediction, it also exhibits a reasonable response and activity. The results in this thesis support that our network model have good potential in the studying of TMS-induced responses, although it needs more parameter tuning. After that, we could apply it further to the study of the response of TMS in different neural diseases model, which is also the ultimate goal we expect to achieve from this first small step.
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/77250
    Appears in Collections:[系統神經科學研究所] 博碩士論文

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