• Title/Summary/Keyword: 뇌영상 MEG 데이터

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Statistical analysis issues for neuroimaging MEG data (뇌영상 MEG 데이터에 대한 통계적 분석 문제)

  • Kim, Jaehee
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.161-175
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    • 2022
  • Oscillatory magnetic fields produced in the brain due to neuronal activity can be measured by the sensor. Magnetoencephalography (MEG) is a non-invasive technique to record such neuronal activity due to excellent temporal and fair amount of spatial resolution, which gives information about the brain's functional activity. Potential utilization of high spatial resolution in MEG is likely to provide information related to in-depth brain functioning and underlying factors responsible for changes in neuronal waves in some diseases under resting state or task state. This review is a comprehensive report to introduce statistical models from MEG data including graphical network modelling. It is also meaningful to note that statisticians should play an important role in the brain science field.

Review of complex network analysis for MEG (MEG 복잡계 네트워크 분석에 대한 통계적 고찰)

  • Sunhan Shin;Jaehee Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.5
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    • pp.361-380
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    • 2023
  • Magnetoencephalography (MEG) is a technique to record oscillatory magnetic fields coming from ongoing neuronal activity. Functional brain activities performing cognitive or physiological tasks are performed on structural connections between neurons or brain regions. MEG data can be characterized as highly correlated, spatio-temporal, multidimensional, multilayered dynamic networks. Due to its complex structure, many studies on MEG network have not yet been conducted. In this study, we will explain the concept, necessity, and possible approaches of MEG network analysis. We reviewed the characteristics of MEG data. Network measures and potential network models in MEG and clinical studies are also reviewed.

Comparisons of functional brain mappings in sensory and affective aspects following taste stimulation (미각자극에 따른 감각 및 감성적 미각정보 처리과정의 기능적 매핑 비교)

  • Lee, Kyung Hee
    • Science of Emotion and Sensibility
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    • v.15 no.4
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    • pp.585-592
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    • 2012
  • Food is crucial for the nutrition and survival of humans. Taste system is one of the fundamental senses. Taste cells detect and respond to five basic taste modalities (sweet, bitter, salty, sour, and umami). However, the cortical processing of taste sensation is much less understood. Recently, there were many efforts to observe the brain activation in response to taste stimulation using functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and optical imaging. These different techniques do not provide directly comparable data each other, but the complementary investigations with those techniques allowed the description and understanding of the sequence of events with the dynamics of the spatiotemporal pattern of activation in the brain in response to taste stimulation. The purpose of this study is the understanding of the brain activities to taste stimuli in sensory and affective aspects and the reviewing of the recent research of the gustotopic map by functional brain mapping.

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