• 제목/요약/키워드: EEG current source imaging

검색결과 7건 처리시간 0.017초

EEG Current Source Imaging using VEP Data Recorded inside a 3.0T MRI Magnet

  • Han Jae Y.;Choi Young H.;Im Chang H.;Kim Tae-S.;Lee Soo Y.
    • 대한의용생체공학회:의공학회지
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    • 제26권2호
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    • pp.95-99
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    • 2005
  • We have performed EEG current source imaging on the cortical surface using visual evoked potentials (VEPs) recorded inside a 3.0 T MRI magnet. In order to remove ballistocardiogram (BCG) artifacts in the VEPs, an improved BCG template subtraction technique is devised. Using the cortically constrained current source imaging technique and pattern-reversal visual stimulations, we have obtained current source maps from 10 subjects. To validate the EEG current source imaging inside the magnet, we have compared the current source maps to the ones obtained outside the magnet. The experimental results demonstrate that there is a strong correspondence between the current source maps, proving that current source imaging is feasible with the evoked potentials recorded inside a 3.0 T MRI magnet.

Patch-based Cortical Source Modeling for EEG/MEG Distributed Source Imaging: A Simulation Study

  • Im Chang-Hwan
    • 대한의용생체공학회:의공학회지
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    • 제27권2호
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    • pp.64-72
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    • 2006
  • The present study introduces a new cortical patch-based source model for EEG/MEG cortical source imaging to consider anatomical constraints more precisely. Conventional source models for EEG/MEG cortical source imaging have used coarse cortical surface mesh or sampled small number of vertices from fine surface mesh, and thus they failed to utilize full anatomical information which nowadays we can get with sub-millimeter modeling accuracy. Conventional ones placed a single dipolar source on each cortical patch and estimated its intensity by means of various inverse algorithms; whereas the suggested cortical patch-based model integrates whole cortical area to construct lead field matrix and estimates current density that is assumed to be constant in each cortical patch. We applied the proposed and conventional models to realistic EEG data and compared the results quantitatively. The quantitative comparisons showed that the proposed model can provide more precise spatial descriptions of neuronal source distribution.

MRI와 동시에 측정한 뇌전도 신호로 전류원 국지화를 할 때 경사자계 유발 잡음의 영향 분석 (Effects of Gradient Switching Noise on ECD Source Localization with the EEG Data Simultaneously Recorded with MRI)

  • 이항로;한재용;조민형;임창환;정현교;이수열
    • Investigative Magnetic Resonance Imaging
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    • 제7권2호
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    • pp.108-115
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    • 2003
  • 목적 : MRI를 촬영하면서 동시에 측정한 뇌전도 신호에 가장 크게 영향을 미치는 것은 경사자계 유발 잡음이다. MRI와 동시에 측정한 뇌전도 신호에서 전류원 국지화를 수행할 때, 경사자계 유발 잡음이 미치는 영향을 분석하고자 한다. 대상 및 방법 : 사람의 머리와 유사하게 만든 뇌전도 팬텀과 MR compatible 뇌전도 측정시스템, 그리고 3.0 Tesla MRI 시스템을 실험에 사용하였다. 3.0 Tesla MRI 시스템 안에 전류원이 설치되어 있는 뇌전도 팬텀을 놓고, EPI 촬영을 하는 동안 뇌전도 신호를 측정하였다. 경사자계의 세기와 전류원의 위치를 조절하면서 뇌전도 신호 측정을 하였고, 측정된 뇌전도 신호에 대하여 전류원 국지화를 수행할 때 나타나는 국지화 오차를 평가하였다. 결과 : 경사자계 유발잡음에 의한 국지화 오차는 경사자계의 세기와 전류원의 위치에 따라 변화하는 것을 관찰하였다. 또한 경사자계 유발잡음이 Gaussian 잡음보다 전류원 국지화에 미치는 영향이 큰 것을 관찰하였으며, 경사자계 유발 잡음의 전력이 뇌전도 신호 전력의 $10\%$ 이하일 때는 전류원 국지화에 미치는 영향이 미미함을 관찰하였다. 결론 : 경사자계 유발 잡음 전력을 뇌전도 신호 전력의 $10\%$ 이하로 줄인다면 MRI를 하면서 동시에 측정한 뇌전도 신호로도 전류원 국지화를 할 수 있음을 알 수 있었다.

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LEFT INFERIOR FRONTAL GYRUS RELATED TO REPETITION PRIMING: LORETA IMAGING WITH 128-CHANNEL EEG AND INDIVIDUAL MRI

  • Kim, Young-Youn;Kim, Eun-Nam;Roh, Ah-Young;Goong, Yoon-Nam;Kim, Myung-Sun;Kwon, Jun-Soo
    • 한국인지과학회:학술대회논문집
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    • 한국인지과학회 2005년도 춘계학술대회
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    • pp.151-153
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    • 2005
  • We investigated the brain substrate of repetition priming on the implicit memory taskusing low-resolution electromagnetic tomography (LORETA) with high-density 128 channel EEG and individual MRI as a realistic head model. Thirteen right-handed, healthy subjects performed a word/nonword discrimination task, in which the words and nonwords were presented visually,and some of the words appeared twice with a lag of one or five items. All of the subjects exhibited repetition priming with respect to the behavioral data, in which a faster reaction time was observed to the repeated word (old word) than to the first presentation of the word (new word). The old words elicited more positive-going potentials than the new words, beginning at 200 ms and lasting until 500 ms post-stimulus. We conducted source reconstruction using LORETA at a latency of 400 ms with the peak mean global field potentials and used statistical parametric mapping for the statistical analysis. We found that the source elicited by the old words exhibited a statistically significant current density reduction in the left inferior frontal gyrus. This is the first study to investigate the generators of repetition priming using voxel-by-voxel statistical mapping of the current density with individual MRI and high-density EEG.

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정신분열병의 결핍증후군과 비결핍증후군에서 QEEG와 sLORETA를 이용한 비교연구 (Comparing Quantitative EEG and Low Resolution Electromagnetic Tomography Imaging between Deficit Syndrome and Non-Deficit Syndrome of Schizophrenia)

  • 이상은;임선진;이미경;이재원;한규희;이종일;심민영;윤해주;신병학
    • 수면정신생리
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    • 제17권2호
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    • pp.91-99
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    • 2010
  • 목 적: 본 연구는 정신분열병의 결핍증후군과 비결핍증후군이 다른 생물학적 동등성을 가진 독립된 질환일 수 있다는 가설 아래 quantitative EEG와 standardized LORETA (sLORETA)를 이용한 전기생리학적인 방법을 통하여 생물학적 병인을 파악하고자 시도되었다. 방 법: 정신분열병 환자를 대상으로 42명의 뇌파를 비교 분석하였으며 그 중 결핍증후군 환자군은 남자 10명과 여자 11명이었고 비결핍증후군 환자군은 남자 12명, 여자 9명이었다. 주파수 대역은 delta(1.5~4 Hz), theta(4~8 Hz), alpha(8~12 Hz), low beta(12~15 Hz), high beta(15~30 Hz)의 5가지로 분할하였고 EEG LAB을 이용한 파워스펙트럼 분석 및 standardized sLORETA software package를 이용하여 신호원을 국소화 하였다. 결 과: 파워 스펙트럼 분석에서 결핍증후군 집단은 비결핍증후군과 비교하였을 때 전두엽, 두정엽 및 측두엽 영역에서 delta파와 theta파의 유의한 활성도 증가를 보였으며 뇌파 스펙트럼은 간편 정신상태 평정 척도 중 철퇴/지연과 적대/의심 항목의 임상적인 특징과 유의한 상관관계를 보였다. sLORETA분석 결과에서는 배측 전대상피질에서 결핍증후군에서 유의하게 delta파의 활성도가 증가되었다. 결 론: 결핍증후군은 비결핍증후군과는 연관된 뇌 영역이 다를 수 있으며 특히 전두엽 영역의 신경회로 이상이 일차적 음성증상에 영향을 줄 것으로 생각된다.

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강박장애에서 LORETA 영상을 이용한 P300 국소원의 통계적 분석 (The P300 Source Localization in the Patients with Obsessive-Compulsive Disorder using the LORETA Imaging and SPM)

  • 박성근;최정석;유소영;이보름;강승석;노규식;하태현;권준수
    • 생물정신의학
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    • 제10권2호
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    • pp.168-176
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    • 2003
  • Objectives:We investigated the characteristics of P300 generators in obsessive-compulsive disorder(OCD) patients by using voxel-based statistical parametric mapping of current density images. Methods:P300 generators, produced by a rare target tone of 1500Hz under a frequent non-target tone of 1,000Hz, were measured in 15 right-handed OCD patients and 15 controls. Low Resolution Electromagnetic Tomography(LORETA), using a realistic head model of the boundary element method based on individual MRI, was applied to the 128-channel EEG. Statistical parametric mapping(SPM) was applied for the statistical analysis. Results:We found that both groups had the mean current density of P300 in the parietal, temporal and prefrontal lobe. There was a trend for decreased current density in the prefrontal area in OCD patients. The statistical comparison showed current density increase in the supraparietal area, a statistically significant longer P300 latency and a trend for reduced P300 amplitude in OCD patients. Conclusion:It suggests that P300 source of both groups exists in multiple brain regions at the same time. And both groups had no statistically significant differences in the current density of P300 except for increased current density in the supraparietal area in OCD patients. But, considering the statistically significant longer P300 latency, a trend for reduced P300 amplitude and relative mean current density reduction in the prefrontal area in OCD patients, this study suggests that the frontal lobe may have a reduced normal inhibitory process in OCD patients.

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Challenges in neuro-machine interaction based active robotic rehabilitation of stroke patients

  • Song, Aiguo;Yang, Renhuan;Xu, Baoguo;Pan, Lizheng;Li, Huijun
    • Advances in robotics research
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    • 제1권2호
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    • pp.155-169
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    • 2014
  • Study results in the last decades show that amount and quality of physical exercises, then the active participation, and now the cognitive involvement of patient in rehabilitation training are known of crux to enhance recovery outcome of motor dysfunction patients after stroke. Rehabilitation robots mainly have been developing along this direction to satisfy requirements of recovery therapy, or focusing on one or more of the above three points. Therefore, neuro-machine interaction based active rehabilitation robot has been proposed for assisting paralyzed limb performing designed tasks, which utilizes motor related EEG, UCSDI (Ultrasound Current Source Density Imaging), EMG for rehabilitation robot control and feeds back the multi-sensory interaction information such as visual, auditory, force, haptic sensation to the patient simultaneously. This neuro-controlled and perceptual rehabilitation robot will bring great benefits to post-stroke patients. In order to develop such kind of robot, some key technologies such as noninvasive precise detection of neural signal and realistic sensation feedback need to be solved. There are still some grand challenges in solving the fundamental questions to develop and optimize such kind of neuro-machine interaction based active rehabilitation robot.