• Title/Summary/Keyword: BOLD-based functional MRI

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Combined Analysis Using Functional Connectivity of Default Mode Network Based on Independent Component Analysis of Resting State fMRI and Structural Connectivity Using Diffusion Tensor Imaging Tractography (휴지기 기능적 자기공명영상의 독립성분분석기법 기반 내정상태 네트워크 기능 연결성과 확산텐서영상의 트랙토그래피 기법을 이용한 구조 연결성의 통합적 분석)

  • Choi, Hyejeong;Chang, Yongmin
    • Journal of Korea Multimedia Society
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    • v.24 no.5
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    • pp.684-694
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    • 2021
  • Resting-state Functional Magnetic Resonance Imaging(fMRI) data detects the temporal correlations in Blood Oxygen Level Dependent(BOLD) signal and these temporal correlations are regarded to reflect intrinsic cortical connectivity, which is deactivated during attention demanding, non-self referential tasks, called Default Mode Network(DMN). The relationship between fMRI and anatomical connectivity has not been studied in detail, however, the preceded studies have tried to clarify this relationship using Diffusion Tensor Imaging(DTI) and fMRI. These studies use method that fMRI data assists DTI data or vice versa and it is used as guider to perform DTI tractography on the brain image. In this study, we hypothesized that functional connectivity in resting state would reflect anatomical connectivity of DMN and the combined images include information of fMRI and DTI showed visible connection between brain regions related in DMN. In the previous study, functional connectivity was determined by subjective region of interest method. However, in this study, functional connectivity was determined by objective and advanced method through Independent Component Analysis. There was a stronger connection between Posterior Congulate Cortex(PCC) and PHG(Parahippocampa Gyrus) than Anterior Cingulate Cortex(ACC) and PCC. This technique might be used in several clinical field and will be the basis for future studies related to aging and the brain diseases, which are needed to be translated not only functional connectivity, but structural connectivity.

Cerebrum Lateralization by Area based on the Intensity of BOLD Signal during Cognitive Performance (인지 기능 수행 시 BOLD 신호 크기에 기반 한 영역별 대뇌 편측화)

  • Chung Soon Cheol;Shon Jin Hun;Kim Ik Hyeon;Lee Soo Yeol
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.1
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    • pp.183-192
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    • 2005
  • This study compared cerebral lateralization index based on the area of neural activation with that based on the intensity of neural activation. For this purpose, 8 right-handed male college students (the mean age - 23.5 years) and 10 right-handed male college students (the mean age - 25.1 years) participated respectively in researches on visuospatial and verbal task brain function. Functional brain images were taken from 3T MRI using the single-shot EPI method. The result of measuring cerebral lateralization index based on the area of neural activation suggested that the right hemisphere is dominant in visuospatial tasks and the left one is in verbal tasks. However, the dominance is not sufficient to locate the exact part of the brain for these tasks. When cerebral lateralization index was computed based on the intensity of neural activation, it was derived that the area of cerebral lateralization closely related to visuospatial tasks is the superior parietal lobe, and the area of cerebral lateralization closely related to verbal tasks is the inferior and middle frontal lobes. Thus, cerebral lateralization index by area based on the intensity of neural activation as proposed by this study can determine the dominance of the cerebrum by area, so is helpful for accurate and quantitative determination of cerebral lateralization.

Effects of Head Acupuncture Versus Upper and Lower Limbs Acupuncture on Signal Activation of Blood Oxygen Level Dependent(BOLD) fMRI on the Brain and Somatosensory Cortex (두침과 상하지 침자극이 뇌와 뇌의 체성감각피질에 미치는 영향에 대한 fMRI Study)

  • Park, Jung-Mi;Gwak, Ja-Young;Cho, Seung-Yeon;Park, Seong-Uk;Jung, Woo-Sang;Moon, Sang-Kwan;Ko, Chang-Nam;Cho, Ki-Ho;Kim, Young-Suk;Bae, Hyung-Sup;Jang, Geon-Ho;Bang, Jae-Seung
    • Journal of Acupuncture Research
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    • v.25 no.5
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    • pp.151-165
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    • 2008
  • Objectives : To evaluate the effects of Head Acupuncture versus Upper and Lower Limbs Acupuncture on signal activation of Blood Oxygen Level Dependent(BOLD) fMRI on the Brain and Somatosensory Cortex. Subjects and Methods : 10 healthy normal right-handed female volunteer were recruited. The average age of the 10 subjects was 30 years old. The BOLD functional MRI(fMRI) signal characteristics were determined during tactile stimulation was conducted by rubbing 4 acu-points in the right upper and lower limbs($LI_1$, $LI_{10}$, $LV_3$, $ST_{36}$). After stimulation of Head Acupuncture in Sishencong($HN_1$), $GB_{18}$, $GB_9$, $TH_{20}$ of Left versus Upper and Lower Limbs Acupuncture($LI_1$, $LI_{10}$, $LV_3$, $ST_{36}$ of Right) and took off needles. Then the BOLD fMRI signal characteristics were determined at the same manner. Results : 1. When touched with cotton buds(sensory stimulation), left Parietal Lobe, Post-central Gyrus, primary somatosensory cortex(BA 1, 2, 3), and primary motor cortex(BA 4) were mainly activated. When $ST_{36}$ was stimulated, Frontal Lobe, Parietal Lobe, Cerebellum, and Posterior Lobe as well as Inter-Hemispheric displaying a variety of regions. 2. In signal activation before and after Head Acupuncture reaction, it showed signal activation after removing the acupuncture needle and right Somatosensory Association Cortex, Postcentral Gyrus, and Parietal Lobe were more activated. 3. In reactions of before and after Upper and Lower Limb Acupuncture, it also showed signal activation after removing the acupuncture needle and bilateral Occipital Lobe, Lingual Gyrus, visual association cortex, and Cerebellum were activated. 4. After acupuncture stimulation, In Upper and Lower Limb Acupuncture Group, left frontal Lobe, Precentral Gyrus and Bilateral parietal lobe, Postcentral Gyrus and Primary Somatosensory Cortex(BA 2) were activated. In Head Acupuncture Group, which has most similar activation regions, but especially right Pre-Post central Gyrus, Primary Somatosensory Cortex(BA 3), Primary Motor Cortex, frontal Lobe and Parietal Lobe were activated. Conclusions : When sensory stimulation was done with cotton buds on four acup-points($LI_1$, $LI_{10}4, $LV_3$, $ST_{36}$), while bilaterally activated, contralateral sense was more dominant. It showed consistency with cerebral cortex function. When $ST_{36}$ was stimulated Frontal Lobe, Parietal Lobe, Cerebellum, Posterior Lobe as well as Inter-Hemispheric were stimulated. In Head Acupuncture, it showed more contralateral activation after acupuncture. In Upper and Lower Limb Acupuncture, it showed typically contralateral activation and deactivation of limbic system after acupuncture stimulation. Therefore, there were different fMRI BOLD signal activation reaction before and after Head Acupuncture vs Upper and Lower Limb Acupuncture which might be thought to be caused by acu-points' sensitivity and different sensory receptor to response acupuncture stimulation.

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Brain Activation Pattern and Functional Connectivity Network during Experimental Design on the Biological Phenomena

  • Lee, Il-Sun;Lee, Jun-Ki;Kwon, Yong-Ju
    • Journal of The Korean Association For Science Education
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    • v.29 no.3
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    • pp.348-358
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    • 2009
  • The purpose of this study was to investigate brain activation pattern and functional connectivity network during experimental design on the biological phenomena. Twenty six right-handed healthy science teachers volunteered to be in the present study. To investigate participants' brain activities during the tasks, 3.0T fMRI system with the block experimental-design was used to measure BOLD signals of their brain and SPM2 software package was applied to analyze the acquired initial image data from the fMRI system. According to the analyzed data, superior, middle and inferior frontal gyrus, superior and inferior parietal lobule, fusiform gyrus, lingual gyrus, and bilateral cerebellum were significantly activated during participants' carrying-out experimental design. The network model was consisting of six nodes (ROIs) and its six connections. These results suggested the notion that the activation and connections of these regions mean that experimental design process couldn't succeed just a memory retrieval process. These results enable the scientific experimental design process to be examined from the cognitive neuroscience perspective, and may be used as a basis for developing a teaching-learning program for scientific experimental design such as brain-based science education curriculum.

Brain activation pattern and functional connectivity network during classification on the living organisms

  • Byeon, Jung-Ho;Lee, Jun-Ki;Kwon, Yong-Ju
    • Journal of The Korean Association For Science Education
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    • v.29 no.7
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    • pp.751-758
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    • 2009
  • The purpose of this study was to investigate brain activation pattern and functional connectivity network during classification on the biological phenomena. Twenty six right-handed healthy science teachers volunteered to be in the present study. To investigate participants' brain activities during the tasks, 3.0T fMRI system with the block experimental-design was used to measure BOLD signals of their brain. According to the analyzed data, superior, middle and inferior frontal gyrus, superior and inferior parietal lobule, fusiform gyrus, lingual gyrus, and bilateral cerebellum were significantly activated during participants' carrying-out classification. The network model was consisting of six nodes (ROIs) and its fourteen connections. These results suggested the notion that the activation and connections of these regions mean that classification is consist of two sub-network systems (top-down and bottom-up related) and it functioning reciprocally. These results enable the examination of the scientific classification process from the cognitive neuroscience perspective, and may be used as basic materials for developing a teaching-learning program for scientific classification such as brain-based science education curriculum in the science classrooms.

The Comparison of Susceptibility Changes in 1.5T and3.0T MRIs due to TE Change in Functional MRI (뇌 기능영상에서의 TE값의 변화에 따른 1.5T와 3.0T MRI의 자화율 변화 비교)

  • Kim, Tae;Choe, Bo-Young;Kim, Euy-Neyng;Suh, Tae-Suk;Lee, Heung-Kyu;Shinn, Kyung-Sub
    • Investigative Magnetic Resonance Imaging
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    • v.3 no.2
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    • pp.154-158
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    • 1999
  • Purpose : The purpose of this study was to find the optimum TE value for enhancing $T_2^{*}$ weighting effect and minimizing the SNR degradation and to compare the BOLD effects according to the changes of TE in 1.5T and 3.0T MRI systems. Materials and Methods : Healthy normal volunteers (eight males and two females with 24-38 years old) participated in this study. Each volunteer was asked to perform a simple finger-tapping task (sequential opposition of thumb to each of the other four fingers) with right hand with a mean frequency of about 2Hz. The stimulus was initially off for 3 images and was then alternatively switched on and off for 2 cycles of 6 images. Images were acquired on the 1.5T and 3.0T MRI with the FLASH (fast low angle shot) pulse sequence (TR : 100ms, FA : $20^{\circ}$, FOV : 230mm) that was used with 26, 36, 46, 56, 66, 76ms of TE times in 1.5T and 16, 26, 36, 46, 56, 66ms of TE in 3.0T MRI system. After the completion of scan, MR images were transferred into a PC and processed with a home-made analysis program based on the correlation coefficient method with the threshold value of 0.45. To search for the optimum TE value in fMRI, the difference between the activation and the rest by the susceptibility change for each TE was used in 1.5T and 3.0T respectively. In addition, the functional $T_2^{*}$ map was calculated to quantify susceptibility change. Results : The calculated optimum TE for fMRI was $61.89{\pm}2.68$ at 1.5T and $47.64{\pm}13.34$ at 3.0T. The maximum percentage of signal intensity change due to the susceptibility effect inactivation region was 3.36% at TE 66ms in 1.5T 10.05% at TE 46ms in 3.0T, respectively. The signal intensity change of 3.0T was about 3 times bigger than of 1.5T. The calculated optimum TE value was consistent with TE values which were obtained from the maximum signal change for each TE. Conclusion : In this study, the 3.0T MRI was clearly more sensitive, about three times bigger than the 1.5T in detecting the susceptibility due to the deoxyhemoglobin level change in the functional MR imaging. So the 3.0T fMRI I ore useful than 1.5T.

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Effects of the Variability of Individual Data on the Group Results; an Acupuncture Study Using fMRI (기능적 자기공명영상을 이용한 침 연구에 있어서 개체 별 다양성이 그룹분석에 미치는 영향 연구)

  • Bae, Seong-In;Jahng, Geon-Ho;Ryu, Chang-Woo;Lim, Sabina
    • Progress in Medical Physics
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    • v.20 no.4
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    • pp.277-289
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    • 2009
  • Recently, functional MRI has been used to investigate the neurobiological mechanisms of acupuncture and the specificity of acupoint. The group data tend to be regarded as more important than the individual data in the most of previous studies. This study was designed to investigate the effect of the variability of individual data on the group results. A functional MRI (fMRI) of the whole brain was performed in fifteen healthy subjects during placebo and acupuncture stimulations at the ST36 acupoint. After remaining at rest for 30 seconds, the acupuncture was inserted and twisted at the rate of 2 Hz for 45 seconds and then the acupuncture was removed immediately. This process was repeated three times. Individual and group analyses were performed by voxel-based analyses using SPM2 software. Visual inspections of the activation and deactivation maps from individual sessions have shown the large variability across fifteen subjects. This means that the group data reflected the brain activation responses of only a few subjects. We suggest that the individual data should be presented to demonstrate the effect of acupuncture.

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Sequential Involvement of Distinct Portions of the Medial Prefrontal Cortex in Different Stages of Decision Making Using the Iowa Gambling Task (갬블링 과제를사용한 의사결정 과정에서 중앙 전전두엽의 영역별 활성화에 대한 연구)

  • Lee, Jae-Jun;Bae, Sung-Jin;Kim, Yang-Tae;Chang, Yong-Min
    • Investigative Magnetic Resonance Imaging
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    • v.13 no.2
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    • pp.127-136
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    • 2009
  • Purpose : Functional magnetic resonance imaging (fMRI) was used to assess the temporal response of neural activation in healthy subjects while they performed the Iowa Gambling Test (IGT), which utilizes decisions involving ambiguity and risk. The IGT was divided into five blocks of 20 trials; analysis showed that activity in the medial prefrontal cortex (mPFC) moves gradually from the dorsal to the ventral mPFC over the course of the IGT. These findings suggest that cognitive division of the mPFC, including the dorsal portion of the anterior cingulated cortex (ACC), plays a major role in ambiguous decision making and that the aspect of the IGT corresponding to risky decision making is associated with significant activity within the corticolimbic network strongly implicated in emotion and reinforcement. Our results also suggest that decisions made under ambiguity and decisions made under risk situations can be further divided into sub-phases based on the neural network involved.

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