• Investigative Magnetic Resonance Imaging
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• v.1 no.1
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• pp.66-74
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• 1997

fMRI, functional MRI introduced receently appears based on the gradient echo technique which is sensitive to the field inhomogeneity developed due to the local susceptibility changes of blood oxygenation and deoxygenation. There has been many variants of the basic gradient echo sequence which is sensitive to the local inhomogeniety, among others such as GRASS or SSFP to EPISTAR are the most commonly used gradient echo techniques. Common to all these gradient echo techniques is that the signal due to the susceptibility effects is generally decreased with increasing inhomogeneity due to the $T2^{*}$ effect or conventionally konwn as blood oxygenation level dependent(BOLD) effect. It is, also found that the BOLD sensitivity is also dependent on the imaging modes, namely whether the imaging is in axial, or coronal or sagittal mode as well as the directions of the vessels against the main magnetic field. We have, therefore, launched a systematic study of imaging mode dependent signal change or BOLD sensitivity as well as the signal changes due tothe tilting angle of the imaging planes. Study has been made for both TRFGE sequence and CGE sequence to compare the distinctions of the each mode since each technique has different sensitivity againsst susceptibility effect. Method of computation and both the computer simulations and their corresponding experimental results are presented.

• Journal of Biomedical Engineering Research
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• v.28 no.3
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• pp.338-343
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• 2007

BOLD T2*-weighted MR images reflects cortical blood flow and oxygenation alterations. fMRI study relies on the detection of localized changes in BOLD signal intensity. Since fMRI measures the very small modulations in BOLD signal intensity that occur during changes in brain activity, it is also very sensitive to small signal intensity variations caused by physiologic noise during the scan. Due to the complexity of movement of various organs associated with heart beat, it is important to reduce cardiac related noise rather than other physiological noise which could be required with relatively simple method. Therefore, a number of methods have been developed for the estimation and reduction of cardiac noise in fMRI study. But, each method has limitation. In this study, we proposed a new estimation method for brain activities influenced by blood pulsation effect using regression analysis with blood pulsation signal and the correspond slice of fMRI. We could find out that the right anterior cingulate cortex and right olfactory cortex and left olfactory cortex were largely influenced by blood pulsation effect for new method. These observed areas are mostly on the structure of anterior cerebral artery in the brain. That is convinced with that our method would be valid and our new method is easier to apply in practice and reduce computational burden than the retrospective method.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.571-574
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• 1997

fMRI, functional MRI introduced recently appears based on the gradient echo technique which is sensitive to the field inhomogeneity developed due to the local susceptibility changes of blood oxygenation and deoxygenation. Common to all the gradient echo techniques is that the signal due to the susceptibility effects is generally decreased with increasing inhomogeneity due to the $T2^*$ effect or conventionally known as blood oxygenation level dependent (BOLD) effect. It is, also found that the BOLD sensitivity is also dependent on the imaging modes, namely whether the imaging is in axial, or coronal or sagittal mode as well as the directions of the vessels against the main magnetic field. We have, therefore, launched a systematic study of imaging mode dependent signal change or BOLD sensitivity as well as the signal changes due to the tilting angle of the imaging planes. Study has been made or both TRFGE sequence and CGE sequence to compare the distinctions of the each mode since each technique has different sensitivity against susceptibility effect. Method of computation and both the computer simulations and their corresponding experimental results are presented.

• Investigative Magnetic Resonance Imaging
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• v.18 no.4
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• pp.341-351
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• 2014

Purpose : In this study, the medication effects of Milnacipran and Pregabalin, as well known as fibromyalgia treatment medicine, in fibromyalgia syndrome patients were compared through the change of BOLD signal in pain related functional MRI. Materials and Methods: Twenty fibromyalgia syndrome patients were enrolled in this study and they were separated into two groups according to the treatment medicine: 10 Milnacipran (MLN) treatment group and 7 Pregabalin (PGB) treatment group. For accurate diagnosis, all patients underwent several clinical tests. Pre-treated and post-treated fMRI image with block-designed pressure-pain stimulation for each group were obtained to conduct the statistical analysis of paired t-test and two sample t-test. All statistical significant level was less than 0.05. Results: In clinical tests, the clinical scores of the two groups were not significantly different at pre-treatment stage. But, PGB treatment group had lower Widespread Pain Index (WPI) and Brief Fatigue Inventory (BFI) score than those of MLN treatment group at post-treatment stage. In functional image analysis, BOLD signal of PGB treatment group was higher BOLD signal at several regions including anterior cingulate and insula than MLN treatment group at post-treatment stage. Also, paired t-test values of the BOLD signal in MLN group decreased in several regions including insula and thalamus as known as 'pain network'. In contrast, size and number of regions in which the BOLD signal decreased in PGB treatment group were smaller than those of MLN treatment group. Conclusion: This study showed that MLN group and PGB group have different medication effects. It is not surprising that MLN and PGB have not the same therapeutic effects since these two drugs have different medicinal mechanisms such as antidepressants and anti-seizure medication, respectively, and different detailed target of fibromyalgia syndrome treatment. Therefore, it is difficult to say which medicine will work better in this study.

• 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.

• Journal of Biomedical Engineering Research
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• v.28 no.4
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• pp.477-483
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• 2007

We have measured EOG and fMRI simultaneously to investigate whether eye movement (blinking mechanism) might influence functional magnetic resonance imaging (fMRI) signal response in the primary visual cortex. $T2^*-weighted$ Echo-Planar Imaging (EPI) with concurrent electrooculogram (EOG) was acquired in four subjects while they viewed a fixation point and a checkerboard with a flickering rate of 8Hz. With the help of EOG information we divided the experimental blocks into two different conditions: fixation and moving eye. We have compared the fMRI data of these two conditions. Our results have shown that there is no difference between these two conditions. This might suggest that eye blinking does not affect BOLD signal changes in the primary visual cortex. This means further that eye blinking can be ignored in data processing.

• Investigative Magnetic Resonance Imaging
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• v.14 no.2
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• pp.115-120
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• 2010

Purpose : To separate and evaluate the low frequency spontaneous fluctuation BOLD signals from the functional magnetic resonance imaging data using sensorimotor active task. Materials and Methods : Twenty female archery players and twenty three control subjects were included in this study. Finger-tapping task consisted of three cycles of right finger tapping, with a subsequent 30 second rest. Blood oxygenation level-dependent (BOLD) data were collected using $T2^*$-weighted echo planar imaging at a 3.0 T scanner. A 3-D FSPGR T1-weighted images were used for structural reference. Image processing and statistical analyses were performed using SPM5 for active finger-tapping task and GIFT program was used for statistical analyses of low frequency spontaneous fluctuation BOLD signal. Results : Both groups showed the activation in the left primary motor cortex and supplemental motor area and in the right cerebellum for right finger-tapping task. ICA analysis using GIFT revealed independent components corresponding to contralateral and ipsilateral sensorimotor network and cognitive-related neural network. Conclusion : The current study demonstrated that the low frequency spontaneous fluctuation BOLD signals can be separated from the fMRI data using finger tapping paradigm. Also, it was found that these independent components correspond to spontaneous and coherent neural activity in the primary sensorimotor network and in the motor-cognitive network.

• Korean Journal of Acupuncture
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• v.31 no.1
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• pp.20-32
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• 2014

Objectives : There has been some controversy about the modulatory effects on brain function during acupuncture on each side of the same acupoint. This study was designed to investigate and compare the blood oxygen level-dependent(BOLD) responses of acupuncture on each side of ST36. Methods : Fourteen healthy subjects were recruited for imaging and received acupuncture or placebo stimulations either on the left or on the right acupoint of ST36 in each scan. For the voxel-wise statistical analysis, one sample T-test and the within-subject analysis of variance(ANOVA) test were performed using SPM8 software. Results : This study showed that acupuncture on each side of ST36 showed different BOLD signal patterns. Higher BOLD responses after acupuncture stimulations at the left ST36 compared to the right were observed mainly in the parahippocampal gyrus(BA 28), dorsolateral prefrontal cortex(DLPFC, BA 44), thalamus, culmen and claustrum. We investigated the different neural responses between rest and activation periods of placebo and acupuncture stimulations on each side of ST36. Acupuncture at the right ST36 elicited activation mainly in the insula, supplementary motor area(SMA) and anterior cingulate cortex(ACC), while acupuncture at the left ST36 elicited activation mainly in the insula, primary somatosensory cortex(SI, BA 2) and DLPFC(BA 44). Conclusions : To our knowledge, this is the first reported functional MRI study directly comparing when needling at the right and at the left side of ST36. This study's preliminary results proved to be evidence of acupuncture's different effects when performed on opposite sides of an acupoint.

• The Journal of Korean Physical Therapy
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• v.22 no.2
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• pp.7-13
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• 2010

Purpose: This study was designed to determine the correlation between faster response time and functional activities of brain regions during cognitive time management. Methods: Twelve healthy subjects participated in this experiment. Subjects performed the serial reaction time task (SRTT), which was designed by the Superlab program, during fMRI scanning. When the 'asterisk' appeared in the 4 partition spaces on the monitor, the subject had to press the correct response button as soon as possible. Results: fMRI results showed activation of the left primary sensorimotor cortex, both premotor areas, the supplementary motor area, posterior parietal cortex and cerebellum. There were significant correlations, from moderate to strong, between faster reaction time and BOLD signal intensity in activated areas. Conclusion: These results suggest that motor skill learning to be needed cognitive time management is associated with greater activation of large scale sensorimotor networks.

• The Journal of Korean Physical Therapy
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• v.31 no.3
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• pp.157-160
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• 2019

Purpose: We compared the activation pattern of the mirror neurons (MN) between two types of hand movement according to action observation using functional MRI. Methods: Twelve right-handed healthy subjects (5 male and 7 female, mean age $21.92{\pm}2.02years$) participated in the experiment. During fMRI scanning, subjects underwent two different stimuli on the screen: 1) video clips showing repeated grasping and releasing of the ball via simple hand movement (SHM), and (2) video clips showing an actor performing a Purdue Pegboard test via complex hand movement (CHM). paired t-test in statistical parametric mapping (SPM) was used to compare the activation differences between the two types of hand movement. Results: CHM as compared with the SHM produced a higher blood oxygen level dependent (BOLD) signal response in the right superior frontal gyrus, left inferior and superior parietal lobules, and lingual gyrus. However, no greater BOLD signal response was found by SHM compared with CHM (FWE corrected, p<0.05). Conclusion: Our findings provided that the activation patterns for observation of SHM and CHM are different. CHM also elicited boarder or stronger activations in the brain, including inferior parietal lobule called the MN region.