• Title/Summary/Keyword: the brain power

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IDENTIFICATION OF GENES EXPRESSED IN LOW-DOSE-RATE γ-IRRADIATED MOUSE WHOLE BRAIN

  • Bong, Jin Jong;Kang, Yu Mi;Choi, Seung Jin;Kim, Dong-Kwon;Lee, Kyung Mi;Kim, Hee Sun
    • Journal of Radiation Protection and Research
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    • v.38 no.4
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    • pp.166-171
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    • 2013
  • While high-dose ionizing radiation results in long term cellular cytotoxicity, chronic low-dose (<0.2 Gy) of X- or ${\gamma}$-ray irradiation can be beneficial to living organisms by inducing radiation hormesis, stimulating immune function, and adaptive responses. During chronic low-dose-rate radiation (LDR) exposure, whole body of mice is exposed to radiation, however, it remains unclear if LDR causes changes in gene expression of the whole brain. Therefore, we aim to investigate expressed genes (EGs) and signaling pathways specifically regulated by LDR-irradiation ($^{137}Cs$, a cumulative dose of 1.7 Gy for total 100 days) in the whole brain. Using microarray analysis of whole brain RNA extracts harvested from ICR and AKR/J mice after LDR-irradiation, we discovered that two mice strains displayed distinct gene regulation patterns upon LDR-irradiation. In ICR mice, genes involved in ion transport, transition metal ion transport, and developmental cell growth were turned on while, in AKR/J mice, genes involved in sensory perception, cognition, olfactory transduction, G-protein coupled receptor pathways, inflammatory response, proteolysis, and base excision repair were found to be affected by LDR. We validated LDR-sensitive EGs by qPCR and confirmed specific upregulation of S100a7a, Olfr624, and Gm4868 genes in AKR/J mice whole brain. Therefore, our data provide the first report of genetic changes regulated by LDR in the mouse whole brain, which may affect several aspects of brain function.

Power spectrum density analysis for the influence of complete denture on the brain function of edentulous patients - pilot study

  • Perumal, Praveen;Chander, Gopi Naveen;Anitha, Kuttae Viswanathan;Reddy, Jetti Ramesh;Muthukumar, Balasubramanium
    • The Journal of Advanced Prosthodontics
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    • v.8 no.3
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    • pp.187-193
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    • 2016
  • PURPOSE. This pilot study was to find the influence of complete denture on the brain activity and cognitive function of edentulous patients measured through Electroencephalogram (EEG) signals. MATERIALS AND METHODS. The study recruited 20 patients aged from 50 to 60 years requiring complete dentures with inclusion and exclusion criteria. The brain function and cognitive function were analyzed with a mental state questionnaire and a 15-minute analysis of power spectral density of EEG alpha waves. The analysis included edentulous phase and post denture insertion adaptive phase, each done before and after chewing. The results obtained were statistically evaluated. RESULTS. Power Spectral Density (PSD) values increased from edentulous phase to post denture insertion adaption phase. The data were grouped as edentulous phase before chewing (EEG p1-0.0064), edentulous phase after chewing (EEG p2-0.0073), post denture insertion adaptive phase before chewing (EEG p3-0.0077), and post denture insertion adaptive phase after chewing (EEG p4-0.0096). The acquired values were statistically analyzed using paired t-test, which showed statistically significant results (P<.05). CONCLUSION. This pilot study showed functional improvement in brain function of edentulous patients with complete dentures rehabilitation.

An EEG-based Brain Mapping to Determine Mirror Neuron System in Patients with Chronic Stroke during Action Observation

  • Kuk, Eun-Ju;Kim, Jong-man
    • The Journal of Korean Physical Therapy
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    • v.27 no.3
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    • pp.135-139
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    • 2015
  • Purpose: The aim of this study was to compare EEG topographical maps in patients with chronic stroke after action observation physical training. Methods: Ten subjects were recruited from a medical hospital. Participants observed the action of transferring a small block from one box to another for 6 sessions of 1 minute each, and then performed the observed action for 3 minutes, 6 times. An EEG-based brain mapping system with 32 scalp sites was used to determine cortical reorganization in the regions of interest (ROIs) during observation of movement. The EEG-based brain mapping was comparison in within-group before and after training. ROIs included the primary sensorimotor cortex, premotor cortex, superior parietal lobule, inferior parietal lobule, superior temporal lobe, and visual cortex. EEG data were analyzed with an average log ratio in order to control the variability of the absolute mu power. The mu power log ratio was in within-group comparison with paired t-tests. Results: Participants showed activation prior to the intervention in all of the cerebral cortex, whereas the inferior frontal gyrus, superior frontal gyrus, precentral gyrus, and inferior parietal cortex were selectively activated after the training. There were no differences in mu power between each session. Conclusion: These findings suggest that action observation physical training contributes to attaining brain reorganization and improving brain functionality, as part of rehabilitation and intervention programs.

Study on the Relationship of Brain and Heart Based on Oriental Medicine (뇌(腦)와 심(心)의 한의학적 상관성에 대한 연구)

  • Jo Hak-Jun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.6
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    • pp.1496-1503
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    • 2005
  • This study aims to define the relationship between brain and heart through several literatures about oriental medicine and the conclusions are as follows. Heart in oriental medicine is called as Sinmyeongjishim(神明之心) which has a close connection with Mind, Consciousness, Emotion, and Physiological instinct of Drain in modern medicine. According to Oriental medicine, Brain stores Wonsin(元神) as Heart stores mind(神). Heart is where mind rests whereas Brain is where mind reveals. The external evidences that prove the relationship of Heart and Mind are as follows: First, with ears, eyes, mouth, and nose the subject of cognition is recognized as Sinmyeongjishim(神明之心). Second, Bulin(不仁), which means decreased movement power and sensibility of limbs, proves that Sinmyeongjishim(神明之心) is involved with movement power and sensibility of limbs. The physiological evidences that prove the relationship of Heart and Mind are as follows; First, Heart as the operation of Sinmyeongjishim(神明之心) manages language. Second, Heart is related with Tongue. Third, Heart is linked to Ears through the ear hole. Fourth, Heart is a store of Mind. Fifth, the five viscera control emotional and psychological activities. The pathological evidence of the relationship of Heart and Mind is that the symptoms of heart disease which are related to Sinmyeongjishim(神明之心) are also related to the functions of Brain. Though Brain has a close connection with Heart in oriental medicine, it is recognized that there are distinctive symptoms of disease of Brain and Hyeolyookjishim(血肉之心) respectively. The relationship of Heart and Brain has been researched in this study, even though there are not enough written materials about oriental medicine. But the fact that the majority of Heart operation is deeply connected with Brain activities cannot be denied. Therefore the research of Heart should be done as well as Brain in the clinical study of Brain.

EEG Changes after Learning for Hypothesis-Generation in Elementary Pre-service Teachers (가설 생성 학습 후에 나타난 초등 예비교사의 뇌파 변화)

  • Kwon Yong-Ju;Park Ji-Young;Shin Dong-Hoon
    • Journal of Korean Elementary Science Education
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    • v.25 no.2
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    • pp.159-166
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    • 2006
  • Changes in the brain activities following pre-service elementary teachers' learning hypothesis-generation were investigated using the analysis of EEG relative power and EEG coherence. In this study, the experimental group (n=16) were trained using learning methods for hypothesis-generation and the control group(n=16) were trained using learning methods for hypothesis-reception over the course of 8 weeks. EEG was measured before and following the learning process for both groups. Decreased theta ($4{\sim}7.9Hz$)/alpha 1 ($8{\sim}9.9Hz$) power and increased alpha 2 ($10{\sim}l2.9Hz$)/beta ($13{\sim}29.9Hz$)/gamma ($30{\sim}50Hz$) power were showed in the experimental group. Additionally, many changes in brian activities were observed for theta, beta and gamma coherence in the experimental group. In particular, fronto-parietal coherence increased in the experimental group. These differences in brain activities between the two groups suggest that the learning for subjects' hypothesis generation presumably leads to interesting changes in some types of brain activities in pre-service elementary teachers.

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The Effects of Science and Art Integrated Program on Brain Activity of Gifted Students in Science (과학과 미술 통합프로그램이 초등과학영재의 뇌 활성에 미치는 효과)

  • Kwon, Young-Sik;Lee, Kil-Jae
    • Journal of Korean Elementary Science Education
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    • v.32 no.4
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    • pp.567-580
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    • 2013
  • This study is to activate gifted students' brains for creativity ability and also an integrated science and art teaching program. The learning programs integrating science and art, which have 30 periods and 10 topics on art and the knowledge of science, were developed dependant on five steps - observing, having interests and curiosity, experimental designing and performing, internalizing, and expressing in an arts-based manner. This programs were applied to 20 senior gifted students in Y Elementary School in Gyeonggi province, by one group pretest-posttest design. The results from these integrated programs of science and art are as follows: First, in the performance of science tasks, prefrontal lobe(F7, FT7) of left brain increase the relative power of theta wave, whereas in the performance of drawing tasks increase the relative power of beta wave in prefrontal lobe(FP1) of left brain, bilateral frontal(F7, F3, Fz, F4, F8, FT7, FC3, FCz), bilateral temporal(T7, TP7, TP8, P7), parietal lobe of left brain(CP3, CPz, P3, Pz), bilateral occipital(O1, Oz, O2). Second, in the performance of science tasks, the relative power of beta wave activity in the left temporal lobe(T7) of the brains of talented students in science significantly decreased whereas it was greatly activated in another part, the left frontal lobe(F3) of the brain (p<.05). Third, in the performance of drawing tasks, the relative power of theta wave activity in five areas of the brain, namely the left temporal lobe(T7), the left frontal lobe(F3), the right frontal lobe(F4), and the left and right parietal lobes of gifted students in science who took the course of the integrated programs, was considerably increased statistically(p<.05). On top of that, these programs were especially effective in balancing the symmetrical development of both cerebral hemispheres by multiplying theta wave activity in the frontal lobes(F3, F4) and the parietal lobes(CP3, P3, P4), which are particularly related to creative thinking. According to the results of this study of brain-based teaching strategies combining science and art, it is an effective program to develop overall activate gifted students' brains for creativity ability. This is expected to be utilized to activate the brain areas for creativity of gifted students in science.

Discriminative Power Feature Selection Method for Motor Imagery EEG Classification in Brain Computer Interface Systems

  • Yu, XinYang;Park, Seung-Min;Ko, Kwang-Eun;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.1
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    • pp.12-18
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    • 2013
  • Motor imagery classification in electroencephalography (EEG)-based brain-computer interface (BCI) systems is an important research area. To simplify the complexity of the classification, selected power bands and electrode channels have been widely used to extract and select features from raw EEG signals, but there is still a loss in classification accuracy in the state-of- the-art approaches. To solve this problem, we propose a discriminative feature extraction algorithm based on power bands with principle component analysis (PCA). First, the raw EEG signals from the motor cortex area were filtered using a bandpass filter with ${\mu}$ and ${\beta}$ bands. This research considered the power bands within a 0.4 second epoch to select the optimal feature space region. Next, the total feature dimensions were reduced by PCA and transformed into a final feature vector set. The selected features were classified by applying a support vector machine (SVM). The proposed method was compared with a state-of-art power band feature and shown to improve classification accuracy.

Spectral Analysis of Resting EEG in Brain Compartments (휴지기 뇌파의 구역별 주파수 분석)

  • Lee, Migyung
    • Sleep Medicine and Psychophysiology
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    • v.27 no.2
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    • pp.67-76
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    • 2020
  • Objectives: Brain maturation involves brain lateralization and asymmetry to achieve efficient information processing and cognitive controls. This study elucidates normal brain maturation change during the gap between ages 6-9 and age 14-17 using resting EEG. Methods: An EEG dataset was acquired from open source MIPDB (Multimodal Resource for Studying Information Processing in the Developing Brain). Ages 6-9 (n = 24) and ages 14-17 (n = 26) were selected for analysis, and subjects with psychiatric illness or EEG with severe noise were excluded. Finally, ages 6-9 (n = 14) and ages 14-17 (n = 11) were subjected to EEG analysis using EEGlab. A 120-sec length of resting EEG when eyes were closed was secured for analysis. Brain topography was compartmentalized into nine regions, best fitted with brain anatomical structure. Results: Absolute power of the delta band and theta band in ages 6-9 was greater than that of ages 14-17 in the whole brain, and, also is relative power of delta band in frontal compartment, which is same line with previous studies. The relative power of the beta band of ages 14-17 was greater than that of ages 6-9 in the whole brain. In asymmetry evaluation, relative power of the theta band in ages 14-17 showed greater power in the left than right frontal compartment; the opposite finding was noted in the parietal compartment. For the alpha band, a strong relative power distribution in the left parietal compartment was observed in ages 14-17. Absolute and relative power of the alpha band is distributed with hemispheric left lateralization in ages 14-17. Conclusion: During the gap period between ages 6-9 and ages 14-17, brain work becomes more complicated and sophisticated, and alpha band and beta band plays important roles in brain maturation in typically developing children.

Factors Affecting Attitudes toward Brain Death Organ Donation among Nurses and Doctors in an Operating Room (수술실 의료진의 뇌사자 장기기증 태도 관련 요인)

  • Cho, Eunjeong;Shin, Gisoo
    • Journal of East-West Nursing Research
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    • v.28 no.1
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    • pp.49-56
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    • 2022
  • Purpose: This study was conducted to identify the factors affecting the attitudes toward brain death organ donation among nurses and doctors in an operating room. Methods: A descriptive research was used. The participants included 90 nurses and 30 doctors who had experience of operating organ transplantation for brain death organ donation. Data were collected from March 12 to May 23, 2020 in the one tertiary general hospital. The outcome measures were perception and attitude of death and attitude towards brain death organ donation. Results: Attitudes toward brain death organ donation was influenced by type of occupation, intention of organ donation and attitude toward death. In addition, the explanatory power of the total variance was 52.1%. Conclusions: Based on the results, it is necessary to prepare an intervention to improve awareness of the brain death and the brain death organ donation.

Human Emotion Recognition using Power Spectrum of EEG Signals : Application of Bayesian Networks and Relative Power Values (EEG 신호의 Power Spectrum을 이용한 사람의 감정인식 방법 : Bayesian Networks와 상대 Power values 응용)

  • Yeom, Hong-Gi;Han, Cheol-Hun;Kim, Ho-Duck;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.251-256
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    • 2008
  • Many researchers are studying about human Brain-Computer Interface(BCI) that it based on electroencephalogram(EEG) signals of multichannel. The researches of EEG signals are used for detection of a seizure or a epilepsy and as a lie detector. The researches about an interface between Brain and Computer have been studied robots control and game of using human brain as engineering recently. Especially, a field of brain studies used EEG signals is put emphasis on EEG artifacts elimination for correct signals. In this paper, we measure EEG signals as human emotions and divide it into five frequence parts. They are calculated related the percentage of selecting range to total range. the calculating values are compared standard values by Bayesian Network. lastly, we show the human face avatar as human Emotion.