• Title/Summary/Keyword: Electroencephalogram& #40;EEG& #41;

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The Auditory and Visual Information Impacts on the Traffic Noise Perception by the using Electroencephalogram (뇌파 측정에 의한 친환경 시.청각 정보의 교통소음 인지도 영향 평가)

  • Park, Sa-Keun;Jang, Gil-Soo;Kook, Chan;Song, Min-Jeong;Shin, Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.41-47
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    • 2006
  • In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram Green rural region image and CBD image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused a-wave ratio increase about 10% and environmental music increased $\alpha$-wave ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.

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The Analysis of Gamma Oscillation and Phase-Synchronization for Memory Retrieval Tasks

  • Kim, Sung-Phil;Choe, Seong-Hyeon;Kim, Hyun-Taek;Lee, Seung-Hwan
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2010.05a
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    • pp.37-41
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    • 2010
  • The previous investigations of electroencephalogram (EEG) activity in the memory retrieval tasks demonstrated that event-related potentials (ERP) during recollection showed different durations and the peak levels from those without recollection. However, it has been unknown that recollection in memory retrieval also modulates high-frequency brain rhythms as well as establishes large-scale synchronization across different cortical areas. In this study, we examined the spectral components of the EEG signals, especially the gamma bands (20-80Hz), measured during the memory retrieval tasks. Specifically, we focused on two major spectral components: first, we evaluated the temporal patterns of the power spectral density before and after the onset of the memory retrieval task; second, we estimated phase synchrony between all possible pairs of EEG channels to evaluate large-scale synchronization. Fourteen healthy subjects performed the memory retrieval task in the virtual reality environment where they selected whether or not t he present item was seen in the previous training period. When the subjects viewed the unseen items, the middle gamma power (40-60Hz) appeared to increase 200-500ms after stimulus onset while the low gamma power (20Hz) was suppressed all the way through the post-stimulus period 150ms after onset. The degree of phase synchronization in this low gamma level, however, increased when the subjects fetched the item from memory. This suggests that phase synchrony analysis might reveal different aspects of the memory retrieval process than the gamma power, providing additional information to the inference on the brain dynamics during memory retrieval.

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