• The Magazine of the IEIE
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• v.42 no.2
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• pp.40-44
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• 2015

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.507-518
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• 2021

Magnetic resonance imaging (MRI) is a key technology that has been seeing increasing use in studying the structural and functional innerworkings of the brain. Analyzing the variability of brain connectome through tractography analysis has been used to increase our understanding of disease pathology in humans. However, there lacks standardization of analysis methods for small animals such as mice, and lacks scientific consensus in regard to accurate preprocessing strategies and atlas-based neuroinformatics for images. In addition, it is difficult to acquire high resolution images for mice due to how significantly smaller a mouse brain is compared to that of humans. In this study, we present an Allen Mouse Brain Atlas-based image data analysis pipeline for structural connectivity analysis involving structural region segmentation using mouse brain structural images and diffusion tensor images. Each analysis method enabled the analysis of mouse brain image data using reliable software that has already been verified with human and mouse image data. In addition, the pipeline presented in this study is optimized for users to efficiently process data by organizing functions necessary for mouse tractography among complex analysis processes and various functions.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.225-234
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• 2010

To investigate the role of positive emotion in education, we have reviewed the previous studies on positive emotion, learning and motivation. In the present study, we examined the definition of positive emotion, and influences of positive emotion on cognition, creativity, social relationship, psychological resource such as life satisfaction, and interactive relationship among positive emotion, motivation and learning. To investigate the role of positive emotion on motivation and learning more scientifically, we examined the recent results of neuroscience. In other words, we have reviewed diverse research on positive emotion, learning and motivation based on brain-based learning. We also examined the research of autonomy-supportive environment as the specific example of improving positive emotion. As one of the most effective methods for emotional education, we discussed brain-based learning, the new research field. As the future prospects, we discussed the implications, possibilities and limitations of brain-based learning.

• 한국정보교육학회:학술대회논문집
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• 2007.01a
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• pp.245-254
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• 2007

본연구는 문제중심해결 과정에서 나타나는 뇌파를 활용한 뉴로피드백 훈련방법으로 자신의 의지에 의해 적절한 뇌파를 구성하여 문제기반 인지능력을 향상시키게 된다. 다양한 영재학습 유형 및 영재아를 뇌파분석에 따른 영역화를 통하여 객관적인 문제기반접근을 통한 표준화된 학습모형을 설계한 것이다. 뇌파는 뇌의 활동상태에 따라 다르게 나타나며, 자신의 뇌에 다양한 훈련으로 피드백을 받게 되면 특정파에 대한 조절능력을 갖게 된다. 본 연구에서는 뇌파조절을 통한 영재학습모형을 개발하여 영재학습능력 향상을 위한 영재프로그램의 설계모형을 개발하였다.

• Journal of the Korean Society of Radiology
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• v.7 no.6
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• pp.433-439
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• 2013

In this study, human head-mimicking phantom was developed for brain disease treatment study using focused ultrasound. Acoustic parameters of skin, skull and brain were investigated through literature investigation and adequate substitutes according to each tissue were suggested. In the case of skin phantom, construction ratio of glycerol-based TMM phantom was controlled to mimic real skin. The suitability of skull substitutes was evaluated through measurement of acoustic parameters. In the case of brain phantom, transparent egg white phantom was used to observe thermal properties of focused ultrasound. Combined human-head-mimicking phantom using each substitutes was fabricated for development of brain disease treatment protocol. Denaturation of brain phantom according to ultrasonic condition was observed for validation.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.13-14
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• 2023

뇌의 전기적 신경활동을 측정하는 뇌전도(EEG)는 저렴하게 취득할 수 있고 높은 시간 해상도를 갖는 반면 공간적 정보를 제공하지는 않는다. 기능적 자기공명영상(fMRI)은 혈류변화를 감지하여 뇌활동을 측정하는 방식으로서 높은 공간 분해능을 갖지만 고가의 비용과 설비를 요구한다. 최근 저렴하게 취득할 수 있는 EEG 데이터로부터 딥러닝을 사용하여 fMRI 합성영상을 생성하는 기술이 제안되었지만, 저주파수 대역에서 EEG와 fMRI 간의 뇌과학적 상관관계를 반영하지는 않는다. 본 연구에서는 휴식상태에서 취득된 EEG 데이터를 스펙트로그램으로 변환한 후 저주파수 특성을 사용하여 fMRI 합성영상을 생성하는 U-net 기반의 크로스 모달리티 변환 모델의 실현가능성을 평가하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1152-1153
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• 2008

효율적인 학습 방법들을 도입한 교육용 시스템에 대한 연구가 활성화되어 있는 가운데, 사람의 뇌의 장기기억 메커니즘을 이용하여 교육용 시스템과 다양한 방향에서 적용하고 그 유효성을 밝히는 연구들이 많이 진행되고 있다. 학생들에게 학습에 용이한 교육 시스템을 적용함에 있어 시간과 장소에 상관없이 접근이 용이하도록 인터넷과 연계된 시스템의 유용성은 이미 입증된 바 있다. 본 연구에서는 웹기반 교육 시스템에서 장기기억이 용이하도록 학습 내용의 구성과 에빙하우스 망각 곡선에 기반한 효율적인 반복학습 시스템을 설계한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.924-926
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• 2015

In this paper, we use the interface, which many countries concentrates research of Brain - Computer Interface with the device and MyndPlay based on the IoT intelligent Arduino. Finally we will make the Brain - Computer Connection environment, the purpose of Brain - Computer Interface. Recognizes the EEG of a person who wearing the equipment, analyze, classify, and we did a research to design an intelligent thing to suit user's condition. In addition, we use the XBee, and Bluetooth to communicate to other devices, such as smart phone. In conclusion, this paper check users current status via brain waves, and it allows to control the power and other objects by using the EEG(Electroencephalography).

• Journal of Korean Home Economics Education Association
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• v.33 no.2
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• pp.153-172
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• 2021

The purpose of this study is to develop the Empathy Education Program by employing the brain-based education principle in home economics education. For this purpose, the study used the "ADDE" (Analysis, Design, Development, and Evaluation) method to develope a Empathy Education Program for middle-school students. Analysis from previous literature derived that four principles of brain-based empathy education in home economics education: 1) understanding through imitation; 2) inference through imagination; 3) interaction through experience, and 4) internalization through practice. Based on these brain-based four principles and three components of empathy, a total of 15 lessons were designed and developed for the educational program for middle-school students, "FEEL" (For Empathy Education & Learning). The contents of this program were selected from the analysis of the 2015-revised technology and home economics education curriculum and textbooks. Results from expert evaluation of the validity and feasibility of the program showed that this program is highly valid with an average validity score of 4.88 and 0.98 for the validity index ("CVI"). This study is meaningful in that it can be effectively employed in the middle school free-year policy system. Also, this study contributes to shedding light on the possibility of combining empathy education with home economics education by presenting newly presented elements of empathy and brain-based education principles in home economics education.

• The Journal of the Korea institute of electronic communication sciences
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• v.3 no.4
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• pp.233-239
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• 2008

This study is study regarding system implementation that a ruler maximizing an autoimmunity effect supported it as I stimulate I am visual hearing so that treatment ability is possible. As I am known in a lot of conspiracy mental problems by being disproportionate for a direct reason to be connected to an action, the brain whom emotional, govern spirits through fragrance to stimulate sense of smell so that, specially, an ARoMa treatment is effective. I will inquire into changes and an influence around alpha of the rear wave object before watching this system.