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Park, Kyungjoon,Song, Sukwoon,Hong, Ingie,Song, Beomjong,Kim, Jeongyeon,Park, Sungmo,Lee, Junuk,Song, Sangho,An, Bobae,Kim, Jihye,Lee, C. Justin,Shin, Ki Soon,Choi, Sukwoo,Lee, Sukwon Frontiers Media S.A. 2014 Frontiers in Behavioral Neuroscience Vol.8 No.-
<P>There is conflicting evidence regarding whether calcium-permeable receptors are removed during group I mGluR-mediated synaptic depression. In support of this hypothesis, AMPAR rectification, a correlative index of the synaptic expression of GluA2-lacking calcium–permeable AMPARs (CP-AMPARs), is known to decrease after the induction of several types of group I mGluR-mediated long-term depression (LTD), suggesting that a significant proportion of synaptic CP-AMPARs is removed during synaptic depression. We have previously demonstrated that fear conditioning-induced synaptic potentiation in the lateral amygdala is reversed by group 1 mGluR-mediated depotentiation. Here, we examined whether CP-AMPARs are removed by mGluR1-mediated depotentiation of fear conditioning-induced synaptic potentiation. The synaptic expression of CP-AMPARs was negligible before, increased significantly 12 h after, and returned to baseline 48 h after fear conditioning, as evidenced by the changes in the sensitivity of lateral amygdala synaptic responses to NASPM. Importantly, the sensitivity to NASPM was not altered after induction of depotentiation. Our findings, together with previous results, suggest that the removal of CP-AMPARs is not required for the depotentiation of fear conditioning-induced synaptic potentiation at lateral amygdala synapses.</P>
GluA1 phosphorylation at serine 831 in the lateral amygdala is required for fear renewal
Lee, Sukwon,Song, Beomjong,Kim, Jeongyeon,Park, Kyungjoon,Hong, Ingie,An, Bobae,Song, Sangho,Lee, Jiwon,Park, Sungmo,Kim, Jihye,Park, Dongeun,Lee, C Justin,Kim, Kyungjin,Shin, Ki Soon,Tsien, Richard W Nature Publishing Group, a division of Macmillan P 2013 NATURE NEUROSCIENCE Vol.16 No.10
Fear renewal, a widely pursued model of post-traumatic stress disorder and phobias, refers to the context-specific relapse of conditioned fear after extinction. However, its molecular mechanisms are largely unknown. We found that renewal-inducing stimuli, generally believed to be insufficient to induce synaptic plasticity, enhanced excitatory synaptic strength, activity of synaptic GluA2-lacking AMPA receptors and Ser831 phosphorylation of synaptic surface GluA1 in the lateral nucleus of the amygdala (LAn) of fear-extinguished rats. Consistently, the induction threshold for LAn synaptic potentiation was considerably lowered after extinction, and renewal occluded this low-threshold potentiation. The low-threshold potentiation (a potential cellular substrate for renewal), but not long-term potentiation, was attenuated by dialysis into LAn neurons of a GluA1-derived peptide that competes with Ser831-phosphorylated GluA1. Microinjections of the same peptide into the LAn attenuated fear renewal, but not fear learning. Our findings suggest that GluA1 phosphorylation constitutes a promising target for clinical treatment of aberrant fear-related disorders.
박수권(Sukwon Park),손기헌(Gihun Son) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
A numerical study is presented for computing of encapsulated ultrasound contrast agent which has lots of medical applications such as ultrasound imaging, drug delivery and embolotherapy. To solve nonlinear effect of encapsulation, we modified shell-bucking model for demonstrating effect of viscoelastic shell. Governing equation is expressed by modified Rayleigh-Plesset (RP) equation and phenomena of phase change is governed by energy equation. To solve RP and energy equation, we use Runge-Kutta method. And we divide two process (phase change and bubble oscillation), decrease computational cost. For validating our results, we compare experiments and simulations of other paper. We demonstrate effect of shell on bubble radius. The effects of initial bubble size and shell parameters on contrast agent motion are quantified.
센서 네트워크에서 질의 최적화를 위한 다중 질의 합성 메커니즘
박노열(Noyeol Park),박수권(Sukwon Park),김창화(Changhwa Kim),김상경(Sangkyung Kim) 한국정보과학회 2007 한국정보과학회 학술발표논문집 Vol.34 No.2D
센서 네트워크는 제한된 에너지를 가지는 작은 노드들로 구성이 된다. 제한된 자원을 가지는 센서 네트워크에서 저 전력에 대한 연구는 핵심 분야로써, 다양한 연구가 진행 중이다. 센서 네트워크에서 에너지 효율을 높이는 방법들이 많이 연구 되고 있다. 센서 네트워크에서 가장 큰 에너지 손실을 가져오는 부분은 통신 부분이며, 질의 기반 센서 네트워크 에서는 질의를 배포하게 될 때 에너지 소비의 주요 요소들이 발생하게 된다. 따라서, 본 논문은 베이스스테이션으로 다중 질의를 요청할 때 질의 합성을 통해 전달되는 질의 수를 최소화하여 질의의 배포에 따른 에너지 소비 요소를 줄이는데 그 목적이 있다. 질의는 조건절에서 특정 속성에 대해서 판별하는데, 본 논문에서 제안 하는 방법은 속성에 따라 질의를 합성하여 원본 질의의 개수보다 적게 하는 것이다. 제안 알고리즘을 통해 합성된 질의가 센서 노드에게 전해지는 과정에서 데이터의 송수신 횟수 및 overhead를 줄일 수 있으며, 또한 센서 노드는 합성된 질의로 센싱 횟수를 줄일 수 있어 에너지 효율을 높일 수 있다. 본 논문에서 제안한 방법과 일반적인 방법을 비교하기 위해 에너지 소모 절감 예를 살펴봤다.