• Title/Summary/Keyword: q-EEG

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Increased Frontal Gamma and Posterior Delta Powers as Potential Neurophysiological Correlates Differentiating Posttraumatic Stress Disorder from Anxiety Disorders

  • Moon, Sun-Young;Choi, Yoo Bin;Jung, Hee Kyung;Lee, Yoonji Irene;Choi, Soo-Hee
    • Psychiatry investigation
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    • v.15 no.11
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    • pp.1087-1093
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    • 2018
  • Objective Posttraumatic stress disorder (PTSD) is distinct from anxiety disorders in its etiology and clinical symptomatology, and was reclassified into trauma- and stressor-related disorders in DSM-5. This study aimed to find neurophysiological correlates differentiating PTSD from anxiety disorders using resting-state quantitative electroencephalography (qEEG). Methods Thirty-six patients with either PTSD or acute stress disorder and 79 patients with anxiety disorder were included in the analysis. qEEG data of absolute and relative powers and patients' medication status on the day of qEEG examination were obtained. Electrodes were grouped into frontal, central, and posterior regions to analyze for regional differences. General linear models were utilized to test for group differences in absolute and relative powers while controlling for medications. Results PTSD patients differed from those with anxiety disorders in overall absolute powers [F(5,327)=2.601, p=0.025]. Specifically, overall absolute delta powers [F(1,331)=4.363, p=0.037], and overall relative gamma powers [F(1,331)=3.965, p=0.047] were increased in PTSD group compared to anxiety disorder group. Post hoc analysis regarding brain regions showed that the increase in absolute delta powers were localized to the posterior region [F(1,107)=4.001, p=0.048]. Additionally, frontal absolute gamma powers [F(1,107)=4.138, p=0.044] were increased in PTSD group compared to anxiety disorder group. Conclusion Our study suggests increased overall absolute delta powers and relative gamma powers as potential markers that could differentiate PTSD from anxiety disorders. Moreover, increased frontal absolute gamma and posterior delta powers might pose as novel markers of PTSD, which may reflect its distinct symptomatology.

Development of EEG Signals Measurement and Analysis Method based on Timbre (음색 기반 뇌파측정 및 분석기법 개발)

  • Park, Seung-Min;Lee, Young-Hwan;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.388-393
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    • 2010
  • Cultural Content Technology(CT, Culture Technology) for the development of cultural industry and the commercialization of technology, cultural contents, media, mount, pass the value chain process and increase the added value of cultural products that are good for all forms of intangible technology. In the field of Culture Technology, Music by analyzing the characteristics of the development of a variety of applications has been studied. Associated with EEG measures and the results of their research in response to musical stimuli are used to detect and study is getting attention. In this paper, the musical stimuli in EEG signals by amplifying the corresponding reaction to the averaging method, ERP (Event-Related Potentials) experiments based on the process of extracting sound methods for removing noise from the ICA algorithm to extract the tone and noise removal according to the results are applied to analyze the characteristics of EEG.

Implementation of Brain-machine Interface System using Cloud IoT (클라우드 IoT를 이용한 뇌-기계 인터페이스 시스템 구현)

  • Hoon-Hee Kim
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.25-31
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    • 2023
  • The brain-machine interface(BMI) is a next-generation interface that controls the device by decoding brain waves(also called Electroencephalogram, EEG), EEG is a electrical signal of nerve cell generated when the BMI user thinks of a command. The brain-machine interface can be applied to various smart devices, but complex computational process is required to decode the brain wave signal. Therefore, it is difficult to implement a brain-machine interface in an embedded system implemented in the form of an edge device. In this study, we proposed a new type of brain-machine interface system using IoT technology that only measures EEG at the edge device and stores and analyzes EEG data in the cloud computing. This system successfully performed quantitative EEG analysis for the brain-machine interface, and the whole data transmission time also showed a capable level of real-time processing.

EFFECT OF METHYLPHENIDATE ON FUNCTIONAL CEREBRAL LOCALIZATION DURING ATTENTIONAL TASKS IN BOYS WITH ATTENTION-DEFICIT/HYPERACTIVITY DISORDER (주의력결핍 과잉운동장애 남아에서 중추신경자극제가 주의력과제 수행 중의 대뇌 기능적 국소화에 미치는 효과)

  • Shin, Dong-Won;Yook, Ki-Hwan;Jon, Duk-In;Kim, Kyung-Hee;Min, Sung-Kil;Song, Dong-Ho
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.9 no.2
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    • pp.218-226
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    • 1998
  • This study aims at investigating the effects of psychostimulant on functional cerebral localization during the attentional tasks in ADHD. Inclusional subjects were 13 boy between 6-12 years old who met the DSM-IV criteria for ADHD. In each patient, there was a drugfree period(without methyphenidate) and a drug-loaded period(with oral methylphenidate administration), and within each period there was a resting state and a stimulated state with TOVA. Comparisons were made by measuring the amplitudes of four bands(${\alpha}$, ${\beta}$, ${\delta}$, ${\theta}$) of quantitative EEG to see if there were any differences between the drug-free period(resting and stimulated) and the drug-loaded period(resting and stimulated). In the resting state, there was no difference between the drug-free and drug-loaded periods. In the stimulated state with TOVA, the presence of methylphenidate induced significant changes in the theta to beta ratio(${\theta}/{\beta}$) in the right frontal, right parieto-occipital, and left temporal-parietal areas in contrast to the drugf-ree period. These data suggest that methylphenidate shows electrophysiological influences on cerebral topographical activities during the attentional tasks in ADHD.

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A Characteristic EEG Pattern of Angelman Syndrome

  • Yoon, Joong-Soo;Song, Woon-Heung;Choi, Hwa-Sik
    • Korean Journal of Clinical Laboratory Science
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    • v.42 no.2
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    • pp.97-102
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    • 2010
  • The two new female cases of Angelman syndrome (AS) were described, which diagnosed on the basis of clinical features (dysmorphic facial features, severe mental retardation with absent speech, peculiar jerky movements, ataxic gait and paroxysms of inappropriate laughter) and neurophysiological findings. Failure to detect the deletion of the long arm of chromosome 15 or the absence of epileptic seizure were not considered sufficient to exclude a diagnosis of AS. Feeding problems, developmental delay and early signs of ataxia, especially tremor on handling objects and unstable posture when seated, proved effective as the clinical markers for early diagnosis of AS. Most of the authors agreed about the existence of three main EEG patterns in AS which may appear in isolation or in various combinations in the same patient. The most frequently observed pattern in children has prolonged runs of high amplitude rhythmic 2-3 Hz activity predominantly over the frontal region with superimposed interictal epileptiform discharges. High amplitude rhythmic 4-6 Hz activity, prominent in the occipital regions, with spikes, which can be facilitated by eye closure, is often seen in children under the age of 12 years. The EEG findings are characteristic of AS when seen in the appropriate clinical context and can be helpful to identify AS patients at an early age when genetic counselling may be particularly important.

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Development and effectiveness of Interface System for Inducing and Monitoring Brain-Wave Activity (뇌파 유도 및 모니터링 인터페이스 시스템 개발 및 효과성)

  • 이강희;민윤기;이방형;민병찬
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.91-96
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    • 2000
  • 본 연구는 이러한 뇌파 바이오피드백 원리를 적용하여 뇌파를 유도하고 유도된 상태에 대한 피드백을 제공함으로써 사용자 스스로 자신의 뇌파 상태를 조절하도록 하는 장치로 개발된 Q0jump 시스템의 효과성을 밝히고자 하였다. 연구 방법에 있어서 뇌파 측정 장비와 Q-jump를 동시에 측정함으로써 Q-jump 시스템의 타당성을 검증하였으며, 또한 뇌파유도 프로그램을 사용하여 그 효과성을 입증하려 했다. 그 결과 Q-jump 시스템과 뇌파 측정장비에서 얻어진 결과가 유의한 상관을 가짐을 보았다. 상대적 출현량에 있어서 뇌파 유도프로그램을 사용했을 때, 전두엽 부분에서 slow alpha 는 유의한 증가를, fast beta는 유의한 감소를 나타냈다. 후속 연구에 있어서는 통제집단을 이용한 보다 면밀한 검증 연구가 필요하다.

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Evaluation of Cranial Sacral Therapy (CST) Based Pillow on Sleep Induction Using the Electroencephalogram (EEG) (뇌파를 이용한 두개천골요법 기반 베개의 수면유도 효과 검증)

  • Kwon, Hyeok Chan;Phyo, Jung Bin;Park, Yong Gil;Lee, Hyun Ju;Tae, Ki Sik
    • Journal of Biomedical Engineering Research
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    • v.39 no.1
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    • pp.55-61
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    • 2018
  • The purpose of this study was to investigate the effect of a pillow simulated with cranial sacral therapy (CST) on sleep induction using electroencephalography (EEG). This study included 12 voluntary participants divided into experimental group (CST group) and control group (Non-CST group) to observe EEG changes. The position of the electrode for EEG measurement consists of 8 channels electrodes (Fp1, Fp2, F3, F4, T3, T4, P3 and P4). In this study, we measured the fall asleep time, change of brain activity and sleep wave ratio using EEG wave (${\delta}$, ${\theta}$, ${\alpha}$, ${\beta}$ and ${\gamma}$). As a result, the mean fall asleep time of the experimental group was shorter than that of the control group significantly (p < 0.001). Also in comparison with the control group, both the delta (d) and theta (q) wave corresponding to the slow waves showed a larger increase and the alpha (a) wave showed a larger decrease significantly. The slow waves of experimental group showed a higher rate of significant increase than the control group (p < 0.001). Therefore this study showed that pillow based on CST had an effective in improving sleep induction and quality.

새로운 Quinolone 항균제(Q-35)의 제 1 상 임상 연구

  • 임동석;이경훈;장인진;신상구;이명묵;김의종;김진규;권준수
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1994.04a
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    • pp.189-189
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    • 1994
  • Q-35의 일회 및 반복투여 연구결과, 자타학 증상은 단지반복투여 피험자에서 중등도의 두통(1예)과 설사(3예)가 관찰되었으나 이들 설사증례는 장내 세균총 검사상 복감염에 의한 것이 아니었다. Q-35 투여 후 Q-EEG 및 평행기능의 장애 등은 관찰되지 않았으며 임상화학 검사상 반복투여 3예에서 SGOT, SGPT의 경미한 상승을 보였으나 이러한 변화는 정상 범위내에서의 변화이었다. Q-35의 반복투여에 따라 투약 3일에서 8일에 걸처 장내세균총은 일부 호기성 및 혐기성 세균총의 감소를 보였으나 투약종료 10일 후에는 투약전 상태로 회복되었다. Q-35는 투여량의 약 70 % 가 24시간 뇨중으로 배설되었으며 일회 및 반복투여의 결과 용량의존적인 동태양상은 관찰할 수 없었다. 50 mg에서 400 mg까지 일회 투여시 5.6-7.1 시간의 혈장반감기를 보였으며, 반복투여 시험에서는 평균 5.6 $\pm$ 0.7 시간의 반감기를 보였다. Q-35는 타액내로 신속히 이행되었으며 타액내 AUC는 혈장 AUC의 약 75 %에 해당하였고, 식사에 의해 약간의 흡수속도지연(Cmax 0.4 시간지연)과 공복시에 비해 82 %의 상대적 생체이용율을 보였다.

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Development and Validation of a Machine Learning-based Differential Diagnosis Model for Patients with Mild Cognitive Impairment using Resting-State Quantitative EEG (안정 상태에서의 정량 뇌파를 이용한 기계학습 기반의 경도인지장애 환자의 감별 진단 모델 개발 및 검증)

  • Moon, Kiwook;Lim, Seungeui;Kim, Jinuk;Ha, Sang-Won;Lee, Kiwon
    • Journal of Biomedical Engineering Research
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    • v.43 no.4
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    • pp.185-192
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    • 2022
  • Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

Multifractal Classification of the Disturbed Areas of the Sidi Chennane Phosphate Deposit, Morocco

  • Ayad, Abderrahim;Bakkali, Saad
    • Economic and Environmental Geology
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    • v.55 no.3
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    • pp.231-239
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    • 2022
  • The irregular shape of the disturbances is a fundamental issue for mining engineers at the Sidi Chennane phosphate deposit in Morocco. A precise classification of disturbed areas is therefore necessary to understand their part in the overall volume of phosphate. In this paper, we investigate the theoretical and practical aspects of studying and measuring multifractal spectrums as a defining and representative parameter for distinguishing between the phosphate deposit of a low rate of disturbances and the deposit of a high rate. An empirical multifractal approach was used by analyzing the disturbed areas through the geoelectric images of an area located in the Sidi Chennane phosphate deposit. The Generalized fractal dimension, D(q), the Singularities of strength, α(q), the local dimension, f(α) and their conjugate parameter the mass exponent, τ(q) as well as f(α)-α spectrum were the common multifractal parameters used. The results reported show wide variations of the analyzed images, indicating that the multifractal analysis is an indicator for evaluate and characterize the disturbed areas within the phosphates deposits through the studied geoelectric images. This could be the starting point for future work aimed at improving phosphate exploration planning.