• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.990-1010
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• 2009

To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.4 no.3 s.8
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• pp.33-43
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• 2005

Traffic condition monitoring system serves as the foundation for all intelligent transportation system operation. Loop detectors and Video Image Processing are the most widely common technology approach to condition monitoring in korea Highways. Lane Usage is defined as the proportion of total link volume served by each lane. In this research, the lane Usage(LU) of two lane link for one day. Interval is 56% : 44%. The LU of three lane link is 39% : 37% : 24%. The LU of four lane link is 25% : 29% : 26% : 21%. These analysis reveal that each lane distributions of link are not same. This research investigates the general concept of lane usage by using collected loop detector data and the investigated that lane distribution is different by traffic lane and lane usage is consistent by time of day.

• Korean Journal of Psychosomatic Medicine
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• v.25 no.2
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• pp.153-165
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• 2017

Objectives : Recent neuroimaging studies focus on dysfunctions in connectivity between cognitive circuits and emotional circuits: anterior cingulate cortex that connects dorsolateral orbitofrontal cortex and prefrontal cortex to limbic system. Previous studies on pediatric depression using DTI have reported decreased neural connectivity in several brain regions, including the amygdala, anterior cingulate cortex, superior longitudinal fasciculus. We compared the neural connectivity of psychotropic drug naïve adolescent patients with a first onset of major depressive episode with healthy controls using DTI. Methods : Adolescent psychotropic drug naïve patients(n=26, 10 men, 16 women; age range, 13-18 years) who visited the Korea University Guro Hospital and were diagnosed with first onset major depressive disorder were registered. Healthy controls(n=27, 5 males, 22 females; age range, 12-17 years) were recruited. Psychiatric interviews, complete psychometrics including IQ and HAM-D, MRI including diffusion weighted image acquisition were conducted prior to antidepressant administration to the patients. Fractional anisotropy(FA), radial, mean, and axial diffusivity were estimated using DTI. FMRIB Software Library-Tract Based Spatial Statistics was used for statistical analysis. Results : We did not observe any significant difference in whole brain analysis. However, ROI analysis on right superior longitudinal fasciculus resulted in 3 clusters with significant decrease of FA in patients group. Conclusions : The patients with adolescent major depressive disorder showed statistically significant FA decrease in the DTI-based structure compared with healthy control. Therefore we suppose DTI can be used as a bio-marker in psychotropic drug-naïve adolescent patients with first onset major depressive disorder.

• The Journal of Korean Medicine
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• v.31 no.1
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• pp.81-92
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• 2010

Objectives: The objective of this study was to assess bra in activation and difference by LI11 or ST36 acupuncture stimulation using functional MRI (fMRI). Methods: A total of 10 healthy right-handed volunteers were studied. LI11 acupuncture and ST36 acupuncture stimulations were applied in order on the left. The block design paradigm of RARARA was used for the task, with R representing rest and A representing stimulation, and each period lasted 30 seconds. fMRI data were analyzed using SPM2. Results: The left LI11 acupuncture stimulation activated both sides of the inferior parietal lobule, the left side of the extra-nuclear, culmen and inferior semi-lunar lobules. On the right side, the nodule and midbrain regions were activated by the left LI11 acupuncture stimulation. The left ST36 acupuncture stimulation activated the right side of the superior frontal gyrus, middle frontal gyrus, superior parietal lobule, inferior semi-lunar lobule and pyramis. On the left side, the sub-gyral, middle temporal gyrus, fusiform gyrus, supramarginal gyrus, extra-nuclear, cingulate gyrus and fastigium regions were activated by the left ST36 acupuncture stimulation. Besides, both sides of the paracentral lobule, inferior parietal lobule, culmen, cerebellar tonsil and midbrain regions were activated. Conclusions: In conclusion, brain signal activation patterns according to acupoints were observed to differ, and ST36 acupuncture stimulation activated more regions than LI11. It is supposed that LI11 and ST36 acupuncture stimulations have an influence on motor function and sensory aphasia, and these stimulations thus represent potential for ocular motor dysfunction, discriminative touch or position sense disorder. Moreover, ST36 acupuncture stimulation activated the cingulate gyrus of the limbic system, so it seems to have an influence over autonomic functions.

• 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.