• Title/Summary/Keyword: 뇌자도

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Measurements of Auditory Evoked Neuromagnetic Fields using Superconducting Quantum Interference Devices (SQUID를 이용한 뇌 청각유발 자장의 측정)

  • 이용호;권혁찬;김진목;박용기
    • Journal of Biomedical Engineering Research
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    • v.18 no.4
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    • pp.421-428
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    • 1997
  • Magnetic field sensors made from superconducting quantum interference device (SQUID) are the most sensitive low-frequency sensors available, enabling measurements of extremely weak magnetic fields from the brain. Neuromagnetic measurements allow superior spatial resolution, compared with the present electric measurements, and superior temporal resolution, compared with the fMRl and PET, providing useful informations for the functional diagnoses of the brain. We developed a 4-channel SQUID system for neuromagnetic applications. The main features of the system are its simple readout electronics and compact pickup coil structure. A magnetically shielded room has been constructed for the reduction of environmental magnetic noises. The developed SQUID system has noise level lower than the magnetic noise from the brain. Magnetic field signals of the spontaneous r-rhythm activity and auditory evoked magnetic fields have been measured.

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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.

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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Enhancement of calculation time and accuracy in MEG inverse problem using simplex method (Simplex method를 이용한 역문제의 계산시간과 정확도 향상)

  • Kim, Byeong-Jun;An, Kwang-Ok;Lee, Cha-Ny;Koh, Yu-Ri;Jung, Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2179-2180
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    • 2006
  • 뇌자도 신호원 추정에서, 심플렉스 알고리즘은 비교적 간단하고 도함수가 필요하지 않기 때문에 널리 사용된다. 그러나, 심플렉스 알고리즘은 초기 값에 매우 민감하다. 그래서, 본 논문에서는 효과적으로 초기 값을 선택하는 방법을 제안하였다. 해석영역을 여러 구획으로 나눈 후 각 구획의 중심점에서 목적 함수를 계산하여 가장 좋은 간을 갖는 점을 초기 값으로 정하였다. 선택된 초기 값으로 신호원을 추정하였으며 구획의 수가 증가함에 따른 정확도 향상과 계산 시간을 평가하였다.

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Adaptive Noise Subtraction in Auditory Evoked Field (적응 필터를 이용한 청각 자극에 의한 뇌자도 신호에서 노이즈 제거)

  • 이동훈;안창범
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.10
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    • pp.606-610
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    • 2003
  • Noise subtraction using reference channel data has been used to improve signal-to-noise ratio in magnetoencephalography. In this paper, an adaptive noise subtraction model is proposed and parameters for the model are optimized. A criterion to determine an optimal update period for the filter coefficients is proposed based on the ratio of peak amplitude of evoked field (N100m) divided by the output standard deviation. Experiments are carried out using a 40 channel MEG system. From the experiments, the proposed noise subtraction method shows superior performances over existing non-adaptive methods. Two-dimensional topographic map is shown for a diagnosis with a cubic spline interpolation.

Artificial neural network for classifying with epilepsy MEG data (뇌전증 환자의 MEG 데이터에 대한 분류를 위한 인공신경망 적용 연구)

  • Yujin Han;Junsik Kim;Jaehee Kim
    • The Korean Journal of Applied Statistics
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    • v.37 no.2
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    • pp.139-155
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    • 2024
  • This study performed a multi-classification task to classify mesial temporal lobe epilepsy with left hippocampal sclerosis patients (left mTLE), mesial temporal lobe epilepsy with right hippocampal sclerosis (right mTLE), and healthy controls (HC) using magnetoencephalography (MEG) data. We applied various artificial neural networks and compared the results. As a result of modeling with convolutional neural networks (CNN), recurrent neural networks (RNN), and graph neural networks (GNN), the average k-fold accuracy was excellent in the order of CNN-based model, GNN-based model, and RNN-based model. The wall time was excellent in the order of RNN-based model, GNN-based model, and CNN-based model. The graph neural network, which shows good figures in accuracy, performance, and time, and has excellent scalability of network data, is the most suitable model for brain research in the future.

A Helmet-type MEG System with $1^{st}$ order SQUID Gradiometer Located in Vacuum (진공조에 위치한 1차 SQUID 미분계를 이용한 헬멧형 뇌자도 장치의 제작)

  • Yu, K.K.;Kim, K.;Lee, Y.H.;Kim, J.M.
    • Progress in Superconductivity
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    • v.11 no.1
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    • pp.78-82
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    • 2009
  • We have fabricated a helmet type magnetoencephalogrphy(MEG) with a $1^{st}$ order gradiometer in vacuum to improve the signal-to-noise ratio(SNR) and the boil-off rate of liquid helium(LHe). The axial type first-order gradiometer was fabricated with a double relaxation oscillation SQUID(DROS) sensor which was directly connected with a pickup coil. The neck space of LHe dewar was made to be smaller than that of a conventional dewar, but the LHe boil-off ratio appeared to increase. To reduce the temperature of low Tc SQUID sensor and pickup coil to 9 K, a metal shield made of, such as copper, brass or aluminum, have been usually used for thermal transmission. But the metal shield exhibited high thermal noise and eddy current fluctuation. We quantified the thermal noise and the eddy current fluctuation of metal. In this experiment, we used the bobbin which was made of an alumina to wind Nb superconductive wire for pickup coil and the average noise of coil-in-vacuum type MEG system was $3.5fT/Hz^{1/2}$. Finally, we measured the auditory evoked signal to prove the reliability of coil-in-vacuum type MEG system.

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Characteristics of Superconductive Pb shield for a Whole Head MEG System (헬멧형 뇌자도 장치로의 활용을 위한 Pb 초전도 차폐의 특성)

  • Yu, K.K.;Kim, K.;Lee, Y.H.;Kwon, H.
    • Progress in Superconductivity
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    • v.11 no.1
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    • pp.30-35
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    • 2009
  • We have investigated the characteristics of a superconductive Pb shield for hemispherical shape and plate to improving signal-to-noise ratio(SNR) of biomagnetism. We measured the shielding factor for the position of helmet shape Pb and for changing the distance from Pb surface. To make a uniform magnetic field, a $1.5m{\times}1.5m$ set of the helmholtz coils activated at several frequencies. The shielding factor of hemispherical shape Pb was from 20 to 57 dB and of Pb plate was about $6{\sim}26dB$ as a function of distance from the lead surface. The shielding factor was rapidly reduced as increasing the distance from Pb surface. The white noise of superconductive quantum interference device(SQUID) with a superconductive shield was about $12fT/Hz^{1/2}$ at 1 Hz, $7fT/Hz^{1/2}$ at 100 Hz. The white noise was more increased about two times than conventional SQUID system without Pb shielding. An auditory signal was measured by first order gradiometer and magnetometer with Pb superconductive shield and compared the SNR. The SQUID system with Pb shield had better performance at low frequency noise level.

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Construction and Operation of a 40-channel SQUID System for Neuromagnetic Measurements (40-채널 SQUID 시스템의 제작 및 뇌자도 측정)

  • Lee, Yong-Ho;Kim, Jin-Mok;Kwon, Hyuk-Chan;Lee, Sang-Kil;Lim, Cheong-Moo;Park, Yong-Ki;Park, Jong-Chul
    • 한국초전도학회:학술대회논문집
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    • v.9
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    • pp.27-32
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    • 1999
  • We developed a 40-channel superconducting quantum interference device (SQUID) system for neuromagnetic measurements. The main features of the system are use of double relaxation oscillation SQUID (DROS), and planar gradiometer for measuring tangential field components. The DROSS with high flux-to-voltage transfers enabled direct readout of the SQUID output by room-temperature electronics and simple flux-locked loop circuits could be used for SQUID operation. The pickup coil is an integrated first-order planar gradiometer with a baseline of 40 mm. The average noise of the 40 channels is around 1.2 fT/cm/${\sqrt{Hz}}$ at 100 Hz, corresponding to the field noise of 5 fT/${\sqrt{Hz}}$ at 100 Hz, operated inside a magnetically shielded room. The 40-Channel system was applied to measure auditory-evoked neuromagnetic fields.

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