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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Long-term potentiation (LTP) of synaptic transmission is the most widely studied model for learning and memory. However its mechanisms
are not clearly elucidated and are a subject for intense investigation. Previous attempts to decipher cellular mechanisms and network properties involved a current-source density analysis (CSDA) of the LTP from small animal hippocampus measured with a limited number of microelectrodes (typically <3), only revealing limited nature of spatiotemporal dynamics. Recent advancement in multi-electrode array (MEA) technology allows continuous and simultaneous recordings of LTP with more than 60 electrodes. However CSDA via the standard Laplacian transform is still limited due to its relatively high sensitivity toward noise, inability of resolving overlapped current sources and sinks, and its requirement for tissue conductivity values. In this study, we propose a new methodology for improved CSDA. Independent component analysis and its joint use (i.e., Joint-ICA) are applied to extract spatiotemporal components of LTP. The results show that ICA and Joint-ICA are capable of extracting independent spatiotemporal components of LTP generators. The ICs of LTP indicate the reversing roles of current sources and sinks which are associated with LTP.
목차
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참고문헌 (10)
참고문헌 신청
I. Vida / 1995. / A curent-source density analysis of the long-term potentiation in the hipocampus 671 : 1 ~ 11
J. J. Christopher / 2005. / Independent component analysis for biomedical signals 26 (1) : 15 ~ 39
J. Jeong / 2004. / Aplication of Independent Component Analysis with Mixture Density Model to Localize the Brain Alpha Activity in fMRI and EG 14 : 170 ~ 180
J. Le / 2006 / Spatiotemporal analysis of hipocampal long term potentiation using independent component analysis : 3405 ~ 3408
J. S. Taube / 1988. / Mechanisms of Long-Term Potentiation Journal of Neu- roscience 8 : 1645 ~ 1656
J. J. Christopher / 2005. / Independent component analysis for biomedical signals 26 (1) : 15 ~ 39
J. Jeong / 2004. / Aplication of Independent Component Analysis with Mixture Density Model to Localize the Brain Alpha Activity in fMRI and EG 14 : 170 ~ 180
J. Le / 2006 / Spatiotemporal analysis of hipocampal long term potentiation using independent component analysis : 3405 ~ 3408
J. S. Taube / 1988. / Mechanisms of Long-Term Potentiation Journal of Neu- roscience 8 : 1645 ~ 1656
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