• Title, Summary, Keyword: Brain mapping

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Real-Time Visualization Techniques for Sensor Array Patterns Using PCA and Sammon Mapping Analysis (PCA와 Sammon Mapping 분석을 통한 센서 어레이 패턴들의 실시간 가시화 방법)

  • Byun, Hyung-Gi;Choi, Jang-Sik
    • Journal of Sensor Science and Technology
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    • v.23 no.2
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    • pp.99-104
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    • 2014
  • Sensor arrays based on chemical sensors produce multidimensional patterns of data that may be used discriminate between different chemicals. For the human observer, visualization of multidimensional data is difficult, since the eye and brain process visual information in two or three dimensions. To devise a simple means of data inspection from the response of sensor arrays, PCA (Principal Component Analysis) or Sammon's nonlinear mapping technique can be applied. The PCA, which is a well-known statistical method and widely used in data analysis, has disadvantages including data distortion and the axes for plotting the dimensionally reduced data have no physical meaning in terms of how different one cluster is from another. In this paper, we have investigated two techniques and proposed a combination technique of PCA and nonlinear Sammom mapping for visualization of multidimensional patterns to two dimensions using data sets from odor sensing system. We conclude the combination technique has shown more advantages comparing with the PCA and Sammon nonlinear technique individually.

Cognitive Mapping 을 이용한 Information Filtering System

  • Kim Jin-Hwa;Lee Seung-Hun;Byeon Hyeon-Su
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • pp.203-213
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    • 2006
  • 대량의 정보를 취급하는 현대사회에서는 획득하는 정보를 모두 처리할 수 없어 이용자의 요구에 맞는 정보를 얻기 위해 정보 필터링 시스템을 사용한다. 그러나 정보 필터링 시스템이 이용자의 의도와 다르게 정보를 분류하거나 이용자의 다양한 요구를 반영하지 못할 때는 정보 필터링을 사용하지 않은 경우 보다 못할 수 있다. 본 연구에서는 정보 필터링의 정확도를 향상시키기 위해 인간의 뇌에서의 정보처리 과정을 시뮬레이션하는 인지적 매핑의 정보 필터링 시스템을 제안하고자 한다. 본 연구에서 제안하는 시스템은 특정 단어 또는 패턴만을 이용하여 필터링하는 기존 시스템과는 달리 단어의 존재, 단어와 단어의 연결이 창출하는 의미와 단어의 가중치를 종합하여 정보를 필터링하는 점에서 의의가 있다.

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Development of a Group-specific Average Brain Atlas: A Comparison Study between Korean and Occidental Groups

  • Kim Hyun-Pil;Lee Jong-Min;Lee Dong Soo;Koo Bang-Bon;Kim Jae-Jin;Kim In Young;Kwon Jun Soo;Yoo Tae Woo;Chang Kee-Hyun;Kim Sun I.
    • Journal of Biomedical Engineering Research
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    • v.26 no.1
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    • pp.9-16
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    • 2005
  • One of the most important roles of a brain atlas is providing a spatial reference system in which multiple images can be interpreted in a consistent way. The brain atlase based on Western populations such as the International Consortium for Brain Mapping's 452 T-1 Weighted Average Atlas was widely used; however, they may not be the optimal choice for use with brain images from other ethnic groups, because structural differences between occidental and oriental brains have been reported. Therefore, in this study, we created an average brain atlas from 100 healthy Koreans (100 cases (M/F=53/47), 39.0±17.0 years). The purpose of this study was to make a Korean average-brain atlas and to measure its differences from a widely accepted average brain atlas built on an occidental population. The average brain atlas for Koreans was developed using widely accepted tools and procedures. The comparison between the Korean and occidental averages was performed using tissue probability maps and a registration tool, and it was shown that the global pattern of differences between the two average brains found in this work agreed with previously reported differences: Korean brains are wider and shorter in size, and smaller in volume, yet no hemispheric volume asymmetry was found.

Understanding Neurogastroenterology From Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders

  • Kano, Michiko;Dupont, Patrick;Aziz, Qasim;Fukudo, Shin
    • Journal of Neurogastroenterology and Motility
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    • v.24 no.4
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    • pp.512-527
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    • 2018
  • This review provides a comprehensive overview of brain imaging studies of the brain-gut interaction in functional gastrointestinal disorders (FGIDs). Functional neuroimaging studies during gut stimulation have shown enhanced brain responses in regions related to sensory processing of the homeostatic condition of the gut (homeostatic afferent) and responses to salience stimuli (salience network), as well as increased and decreased brain activity in the emotional response areas and reduced activation in areas associated with the top-down modulation of visceral afferent signals. Altered central regulation of the endocrine and autonomic nervous responses, the key mediators of the brain-gut axis, has been demonstrated. Studies using resting-state functional magnetic resonance imaging reported abnormal local and global connectivity in the areas related to pain processing and the default mode network (a physiological baseline of brain activity at rest associated with self-awareness and memory) in FGIDs. Structural imaging with brain morphometry and diffusion imaging demonstrated altered gray- and white-matter structures in areas that also showed changes in functional imaging studies, although this requires replication. Molecular imaging by magnetic resonance spectroscopy and positron emission tomography in FGIDs remains relatively sparse. Progress using analytical methods such as machine learning algorithms may shift neuroimaging studies from brain mapping to predicting clinical outcomes. Because several factors contribute to the pathophysiology of FGIDs and because its population is quite heterogeneous, a new model is needed in future studies to assess the importance of the factors and brain functions that are responsible for an optimal homeostatic state.