• Title/Summary/Keyword: 뇌파 비대칭

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EEG Asymmetry Changes in Elderly Women in Stimulus of Odors (향 자극 시 연령에 따른 뇌파의 비대칭성 변화에 관한 연구)

  • 민병찬;진승현;강인형;남경돈;김수용;김철중
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.144-148
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    • 2001
  • 본 연구에서는 쾌한 향과 불쾌한 향에 대한 좌우 반구의 차이를 보여 주는 비대칭 지수를 사용하여, 두 반구 사이의 변화를 살펴보았다. 중년층과 장년층 여성을 대상으로, 100%의 Basil oil, Lavender oil, Lemon oil, Jasmin oil, Ylangylang oil(KIMEX co. Ltd), Sketol의 총 6가지 종류의 천연향을 제시한 후, 주관적 평가를 통해 쾌한 향과 불쾌한 향을 구분한 후, 이 두 향에 대한 뇌파의 비대칭도를 비교 분석하였다. 그 결과, 중년층의 경우, 주관적 평가에서 쾌한 향으로 나타난 lemon향을 제시했을 때, 불쾌한 향을 제시한 경우에 비해 세타파와 알파파에서 우반구 부분이 우세한 경향을 보여 주었고, 장년층에 비해 중년층은 마찬가지로 세타파와 알파파에서 쾌한 향 자극 시 우반구가 우세함을 보여 주었다.

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Comparison of QEEG between EEG asymmetry and Coherehnce with elderly people according to smart_phone game Addiction Tendency (노인의 스마트 폰 게임 중독 경향에 따른 뇌파 비대칭(asymmetry)와 연결성(Coherehnce)의 정량화뇌파(QEEG) 비교 분석)

  • Weon, Hee Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.644-652
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    • 2017
  • The purpose of this study was to analyze the EEG according to the elderly's tendency to be addicted to smartphone games. We compared the effects of smartphone addiction on mental health such as brain waves, sleep problems and depression through comparative analysis of asymmetry and connectivity in quantitative EEG results. The study participants were two elderly people who were addicted to smartphone game and one elderly person who did not use smartphone (Ed- to confirm: only 3 participants?!). The participant's addiction tendency of smartphone was measured by using the smartphone addiction scale and EEG (QEEG) was used for EEG analysis. The results are as follows. First, the brain waves of elderly people and smartphone non-user elderly who showed symptoms of immersion and smartphone game showed a difference in asymmetry in both opening and closing anisles. Second, there were significant differences in the openness and the anxiety of the elderly who were immersed in the mobile phone and the elderly who did not use the smartphone. Through this, it is also meaningful to explore the relationship between senile cognitive impairment and smartphone use by exploring the effect of smartphone game use on brain cognitive function through comparison of EEG analysis.

Quantitative EEG Analysis on Emotional characteristics of Children experiencing Domestic Violence (가정폭력을 경험한 피해자녀의 감정 특성에 관한 정량화 뇌파연구)

  • Byun, Youn-Eon;Weon, Hee-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.11
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    • pp.166-175
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    • 2017
  • This study examined children from two families exposed to domestic violence and had psychological counseling in July 2017 at KOVA, a support organization for crime victims. The subjects were exposed to family violence in excess of 10 years and was protected by the shelter with their mothers who had filed complaints with the local police. Victims of domestic violence often face difficulty in avoiding the source of aggression, and thus experience repetitive attacks. This research was conducted at the Buddhism Brain Research Facility, Seoul University, to identify and quantify the emotional characteristics of the affected children in which it is difficult to escape from their living conditions. Data was collected by BrainMaster, a 19-channel examination kit, and analyzed by NeuroGuide. As a result of analyzing the emotional characteristics of the affected children through Quantitative EEG and brain topographical map, we found an increase of slow wave and problems with abnormality of Alpha, High Beta in the left and right Frontal area asymmetry.

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.

The Availability of Amplitude, Asymmetry and Mean Frequency of Alpha Intrinsic Rhythm in Old Age as Brain Health Indicators (노년기 알파 고유리듬 진폭, 비대칭 및 평균 주파수의 뇌건강 지표로써 활용 가능성 연구)

  • Shim, Jun-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.124-132
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    • 2020
  • This study examines the clinical availability of alpha amplitude, asymmetry and mean frequency in old age as EEG indexes reflecting brain health condition. The EEGs of prefrontal lobes in eye closure state were measured for 4 minutes with 72 male and female elderly people aged 73. Subjects were divided into higher and lower groups based on average values of alpha amplitude, asymmetry and mean frequency. The results of correlations and t-test among EEG indexes were as follows. First, the higher Alpha altitude was, the higher physical and mental stress resistance and left-to-right brain communication were, and the lower mean Alpha mean frequency location was. The higher Alpha asymmetry was, the lower left-to-right communication level was. Second, as Alpha power of right brain was higher than that of left brain, Alpha amplitude and mental stress resistance and left-to-right brain communication level were higher. Third, as Alpha mean frequency location was higher, Alpha amplitude and mental anti-stress level were lowered and arousal level was enhanced. These high correlations and complementary meaning among quantitative EEG indicators demonstrated the possibility of biomarkers reflecting brain health state in old age.

Study on the Relationship Between EEG of Brain Laterality and Personality Traits (좌·우뇌 비대칭 뇌파와 성격특성요인의 관계에 대한 연구)

  • Hur, Mi-ra;Lee, A-Ra
    • Science of Emotion and Sensibility
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    • v.19 no.1
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    • pp.83-94
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    • 2016
  • The purpose of this study is to find out the relationships of brain laterality, active EEG over all brain regions and personality traits by measuring EEG signals on the basis of the counseling psychology personality theories. For this study, the EEG of ninety-six college students as measured by an eight channel EEG device and analyzed through the computer and the data of their Big Five Personality Test were analyzed by statistical analysis. The result was that when theta's laterality at the prefrontal lobe is bigger, neuroticism is higher in the personality factors. On each of the brain regions, theta's activity on the left of the prefrontal lobe makes higher neuroticism but lower conscientiousness, and beta's activity on the left of the frontal lobe makes lower extroversion and openness to experience. These results showed that there are statistically meaningful relationships between the brain region activated specific EEG and individual personality or psychological traits. This study branched out into theta band while most previous studies measured in alpha and beta band. Also from these results it suggested the counseling strategy with the brain and follow-up studies.

Quantitative Electroencephalographic Findings in Obsessive-Compulsive Disorder (강박 장애의 정량화 뇌파 소견)

  • Youn, Tak;Kwon, Jun Soo;Cho, Maeng-Je;Kim, Yong Sik;Rhi, Bou-Yong
    • Korean Journal of Biological Psychiatry
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    • v.3 no.2
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    • pp.216-221
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    • 1996
  • The quantitative EEGs of obsessive-compulsive disorder patients were analyzed using spectral analysis and compared to age and sex-matched controls. The subjects were 19 patients(men=15, women=4) suffering from obsessive-compulsive disorder(DSM-III-R). Absolute power, relative power and interhemispheric asymmetry of EEG were used to compare obsessive-compulsive disorder patients with controls. In order to fit the EEG data to a normal distribution, a log transformation of power values of every bandwidth in each deviation was calculated prior statistical analysis. The Wilcoxon rank test was performed to compare obsessive-compulsive group to the control group. In obsessive-compulsive disorder, abnormalities of quantitative EEGs are prominent in fronto-central. These results ore compatible with other brain imaging studies of obsessive-compulsive disorder and suggested that fronto-central area plays an important role in the pathophysiology of obsessive-compulsive disorder.

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Analysis of the Continuous Monitored Electroencephalogram Patterns in Intensive Care Unit (집중치료실에서 지속적 뇌파검사의 뇌파 패턴 분석)

  • Kim, Cheon-Sik
    • Korean Journal of Clinical Laboratory Science
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    • v.49 no.3
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    • pp.294-299
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    • 2017
  • The aim of this study was to detect the status of epilepticus and seizure based on the initial patterns observed in the first 30 minutes of continuous electroencephalogram (cEEG) monitoring. An cEEG was recorded digitally using electrodes applied according to the International 10~20 System. The EEG data were reviewed from January 2014 to December 2015. The baselines of the EEG patterns were characterized by lateralized periodic discharges, generalized periodic discharges, burst suppression, focal epileptiform, asymmetric background, generalized slowing, and generalized periodic discharges with a triphagic wave. The etiology was classified into five categories. The subjects of this study were 128 patients (age: $56.9{\pm}17.5years$, male:female, 74:54). The mean cEEG monitoring duration was $5.5{\pm}5.1$ (min:max, 1:33) days. The EEG pattern categories included lateralized periodic discharges (N=7), generalized periodic discharges (N=10), burst suppression (N=6), focal epileptiform (N=19), asymmetric background (N=24), generalized slowing (N=51), and generalized periodic discharges with a triphagic wave (N=11). The etiological classifications of the patients with status epilepticus were remote symptomatic (N=4), remote symptomatic with acute precipitant (N=9), acute symptomatic (N=6), progressive encephalopathy (N=2), and febrile seizure (N=1). cEEG monitoring was found to be useful for the diagnosis of non-convulsive epileptic seizures or status epilepticus. The seizure was confirmed by the EEG pattern.

Development of Health Management Solution based on EEG and ECG analysis (뇌파/맥파 신호 분석에 의한 건강관리 콘텐츠 개발)

  • Seo, Deck-Won;Shin, Dong-Il;Shin, Dong-Kyoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.853-855
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    • 2018
  • 현재 맥파(ECG; Electrocardiogram) 및 뇌파(EEG: electroencephalography)의 파형 분석기술은 다양하게 적용되고 있으니 이들을 종합적으로 활용한 개인용 건강서비스 개발은 아직 미비 한 상태이다. 본 논문에서는 측정대상자의 정신적 혹은 육체적 피로도를 나타내는 8가지의 지표로서 집중도, 전두엽 비대칭 정도, 좌우뇌 활성도 대칭 값, 알파파 및 베타파 훈련도 (이상은 뇌파 분석 결과), 스트레스 레벨, 심박 수, 자율신경균형도 (이상은 맥파 분석 결과)]를 개인에게 알려주는 생체정보기반 개인건강 관리 소프트웨어 시스템의 설계 및 개발 결과에 대하여 서술한다.

Emotion Changes during Virtual Bowling Game: An EEG Study on Hemispheric Asymmetry (가상현실볼링 수행에 따른 정서변화: 대뇌반구 비대칭 연구)

  • Shin, Kyeong-Sik;Kim, Jin-Gu;Ryu, Kwang-Min
    • Science of Emotion and Sensibility
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    • v.20 no.1
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    • pp.49-56
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    • 2017
  • The purpose of this study was to investigate the effects of virtual reality bowling on emotional changes using EEG (Electroencephalogram). Sixteen bowling players who have at least three years of experiences in bowling participated in this study. Their aged ranged from 26 to 35 years old with a mean age of 29.6 years. The frontal lobes (Fp2-Fp1, F4-F3, F8-F7) of each player were measured while subjects were performing five games of bowling. And after performing every frame, their emotion was measured immediately with Visual Analogue Scale. The data were analyzed by one-way analysis of variance to test differences in the alpha value of each region of the frontal lobes. The dependent variable is the alpha power of the cerebral asymmetry. The results showed that players who scored a strike showed higher VAS values than those who missed the spares or cleared the spares; those who cleared spares showed higher VAS values than those who missed spares In addition, with respect to frontal R-L asymmetry score, the alpha-wave of the left frontal lobe was activated when scoring a strike and clearing spares and the alpha-wave of the right frontal lobe was activated when missing spares. In conclusion, the results of this study demonstrated that success or achievement in competition gives rise to positive emotions and vice versa. This study neurophysiologically proved that performance outcomes during a competition directly influence players' emotion and brain waves.