• Title/Summary/Keyword: electroencephalograms (EEGs)

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Effects of Action Observation Training and Mirror Therapy on the Electroencephalograms of Stroke Patients

  • Lee, Ho Jung;Lee, Jong Su;Kim, Young Mi
    • The Journal of Korean Physical Therapy
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    • v.33 no.2
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    • pp.106-113
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    • 2021
  • Purpose: This study examined the effectiveness of action observation training (AOT) and mirror therapy in improving the electroencephalograms (EEG) of stroke patients. Methods: Patients were allocated randomly to three groups: an action observation training with activity (AOTA) group (n=12), a mirror therapy with activity (MTA) group (n=11), and an AOT-only group (n=12). All groups received conventional physiotherapy in five 60-minute sessions over six weeks. The AOTA, MTA, and AOT groups practiced AOTA, MTA, and AOT, respectively, in three 30-minute sessions over six weeks. The differences between the pre- and post-treatment EEGs were assessed using a paired t-test. Comparisons between the groups were performed using one-way ANOVA. Results: The participants in the AOTA and MTA groups showed significant improvement in the EEG. AOTA improved the alpha waves of the prefrontal, temporal, and parietal lobes significantly (p<0.05). MTA improved the alpha waves of the temporal lobe significantly (p<0.05). AOT did not result in significant improvement Conclusion: AOTA and MTA improve stroke patients' EEGs. Mirror neuron activation combined with conventional stroke physiotherapy promotes motor recovery and functioning. The effect is enhanced when the actions are executed after observation. Further research into mirror neuron activation will be needed to develop methods to improve the EEGs of stroke patients.

Increased Gamma-band Neural Synchrony by Pleasant and Unpleasant Visual Stimuli (긍정, 부정 감정 유발 시각자극에 의한 감마-대역 신경동기화 증가)

  • Yeo, Donghoon;Choi, Jeong Woo;Kim, Kyung Hwan
    • Journal of Biomedical Engineering Research
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    • v.39 no.2
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    • pp.94-102
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    • 2018
  • It is known that gamma-band activity (GBA) and phase synchrony (GBPS) are induced by emotional visual stimuli. However, the characteristics of GBA and GBPS according to different emotional states have not been identified. The purpose of this study is to investigate the changes in gamma-band neuronal synchronization induced by positive and negative emotional visual stimuli using electroencephalograms (EEGs). Thirteen healthy male subjects have participated in the experiment. The induced spectral power in gamma-band was the highest for negative stimuli, and the lowest for neutral stimuli in 300-2,000 ms after the stimulus onset. The inter-regional phase synchronization in gamma-band was increased in 500-2,000 ms, mainly between the bilateral frontal regions and the parieto-occipital regions. Larger number of significant connections were found by negative stimuli compared to positive ones. Judging from temporal and spatial characteristics of the gamma-band activity and phase synchrony increases, the results may imply that affective visual stimuli cause stronger memory encoding than non-emotional stimuli, and this effect is more significant for negative emotional stimuli than positive ones.

A Framework for Electroencephalogram Process at Real-Time using Brainwave

  • Sung, Yun-Sick;Cho, Kyung-Eun;Um, Ky-Hyun
    • Journal of Korea Multimedia Society
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    • v.14 no.9
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    • pp.1202-1209
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    • 2011
  • Neuro feedback training using ElectroEncephalo Grams (EEGs) is commonly utilized in the treatment of Alzheimer's disease, and Attention Deficit Hyperactivity Disorder (ADHD). Recently, BCI (Brain-computer Interface) contents have developed, not for the purpose of treatment, but for concentration improvement or brain relaxation training. However, as each user has different wave forms, it is hard to develop contents controlled by such different wave. Therefore, an EEG process that allows the ability to transform the variety of wave forms into one standard signal and use it without taking a user's characteristic of EEG into account, is required. In this paper, a framework that can reduce users' characteristics by normalizing and converting measured EEGs is proposed for contents. This framework also contains the process that controls different brainwave measuring devices. In experiment a handling process applying the proposed framework to the developed BCI contents is introduced.

Discrimination of a Pleasant and an Unpleasant State by Linear Complexity of EEG (뇌전위의 Linear Complexity 분석에 의한 쾌, 불쾌상태의 구분)

  • 최정미;배병훈;황민철;김수용
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1998.04a
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    • pp.70-74
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    • 1998
  • Liner complexity(LC), which could quantify the modal structure, were calculated from electroencephalograms(EEGs) in four states such as a pleasant and relaxed, a pleasant and aroused, an unpleasant and relaxed, and an unpleasant and aroused state. Each state was evoke by visual stimuli of relaxed or aroused state, LC could discriminate statistically state(t-test; p<0.01). LCs in pleasant states were larger than those in unpleasant ones.

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Frontal Gamma-band Hypersynchronization in Response to Negative Emotion Elicited by Films (영상에 의해 유발된 부정적 감정 상태에 따른 전두엽 감마대역 신경동기화)

  • Kim, Hyun;Choi, Jongdoo;Choi, Jeong Woo;Yeo, Donghoon;Seo, Pukyeong;Her, Seongjin;Kim, Kyung Hwan
    • Journal of Biomedical Engineering Research
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    • v.39 no.3
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    • pp.124-133
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    • 2018
  • We tried to investigate the changes in cortical activities according to emotional valence states during watching video clips. We examined the neural basis of two emotional states (positive and negative) using spectral power analysis and brain functional connectivity analysis of cortical current density time-series reconstructed from high-density electroencephalograms (EEGs). Fifteen healthy participants viewed a series of thirty-two 2 min emotional video clips. Sixty-four channel EEGs were recorded. Distributed cortical sources were reconstructed using weighted minimum norm estimation. The temporal and spatial characteristics of spectral source powers showing significant differences between positive and negative emotion were examined. Also, correlations between gamma-band activities and affective valence ratings were determined. We observed the changes of cortical current density time-series according to emotional states modulated by video clip. Gamma-band activities showed significant difference between emotional states for thirty seconds at the middle and the latter half of the video clip, mainly in prefrontal area. It was also significantly anti-correlated with the self-ratings of emotional valence. In addition, the gamma-band activities in frontal and temporal areas were strongly phase-synchronized, more strongly for negative emotional states. Cortical activities in frontal and temporal areas showed high spectral power and inter-regional phase synchronization in gamma-band during negative emotional states. It is inferred that the higher amygdala activation induced by negative stimuli resulted in strong emotional effects and caused strong local and global synchronization of neural activities in gamma-band in frontal and temporal areas.

Dual deep neural network-based classifiers to detect experimental seizures

  • Jang, Hyun-Jong;Cho, Kyung-Ok
    • The Korean Journal of Physiology and Pharmacology
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    • v.23 no.2
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    • pp.131-139
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    • 2019
  • Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.

Effects of Cranial Electrotherapy Stimulation on Electrocephalogram

  • Lee, Jeongwoo;Lee, Hyejein;Park, Woongsik
    • Journal of International Academy of Physical Therapy Research
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    • v.10 no.1
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    • pp.1687-1694
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    • 2019
  • Background: Although cranial electrotherapy stimulation (CES) is reported to have positive effects on mental functions such as depression and sleep improvement, detailed studies regarding awakening, attention and concentration among brain waves reflecting brain activity are lacking. Objective: To examine the effects of cranial electrotherapy stimulation (CES) on various electroencephalograms (EEGs) reflecting brain activities. Design: Randomized controlled clinical trial (single blind) Methods: This study selected 30 healthy adult women in their 20s who volunteered for this experiment. A total of 30 subjects were randomly assigned to three groups (Sham group, 0.5 Hz CES group, and 100 Hz CES group). EEGs were measured before and after the single CES, and the results were compared and analyzed. Results: The relative theta, alpha, and gamma waves indicated no significant differences in the interaction effects between time and group. The relative fast alpha wave only showed significant differences in the interaction effects between time and group in P4. The relative slow beta wave only indicated statistically significant differences in the interaction effects between time and group in T3 and T4. The relative mid and fast beta waves showed statistically significant differences in the interaction effects between time and group in all areas. Conclusions: These results suggest that a CES of 0.5 Hz awakens consciousness and has a positive influence on brain activity, while a CES of 100 Hz has a positive influence on thinking activity accompanying mental load during concentrating on one subject.

Brain wave results in children with attention deficit hyperactivity disorder and treatment result with central nervous system stimulants (주의력결핍 과잉행동장애 환아에서 시행한 뇌파 결과 및 중추신경자극제 치료에 따른 결과)

  • Lim, Young Su;Sim, Ji Yun;Son, Jung-Woo;Kim, Won Seop
    • Clinical and Experimental Pediatrics
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    • v.51 no.12
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    • pp.1324-1328
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    • 2008
  • Purpose : Attention deficit hyperactivity disorder (ADHD) is a syndrome characterized by inattention, impulsive disruptive behavior, impaired concentration, and motor restlessness. This study examined the relationships among electroencephalographic (EEG) findings, stimulant use, and seizure occurrence in children with ADHD. Methods : We retrospectively studied 308 children with ADHD who visited the neuropsychiatric clinic of our hospital from January 2001 to December 2005. We retrospectively analyzed age distribution, etiology, abnormal EEG findings, and use of CNS stimulants. Among these children, brain waves was recorded in 84 patients. Results : Eighty-four children (72 males, 85.7%, 9.3 years mean age; 12 females, 14.3%, 8.0 years mean age) with ADHD had electroencephalograms (EEGs) performed at our institute. Nineteen patients (22.6%) demonstrated epileptiform abnormalities, and 65 (77.4%) demonstrated normal EEGs. Stimulant therapy was applied to 59 of 84 patients (70.2%). Seizures occurred in 1 of 65 patients with a normal EEG (incidence, 1.5%) and 3 of 19 treated patients with epileptiform EEGs (incidence, 15.7%). Conclusion : These data suggest that patients with normal EEGs have minor risk for seizure. In contrast, patients with epileptiform EEGs have higher risk for seizure than patients with normal EEGs.

An Empirical Correlation Study Between Sasang Constitutions and Job Characteristic (사상체질과 작업특성간의 실증적 상관관계 연구)

  • Yoon, Sang-won;Kal, Won-mo
    • Journal of Sasang Constitutional Medicine
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    • v.12 no.1
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    • pp.37-47
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    • 2000
  • We detect lots of problems on the manufacturing spot because of working results done without considering the aptitude and inherited temper(constitution, blood type, male and female) of the worker, and they lead to results not only the occupational disease and the cause of industrial accidents but also quality deterioration and productivity reduction in point of view of manufacturing management. For the purpose of solving these problems, this study is perfomed by grasping the correlation sasang constitutions and job characteristic of small & medium enterprises. We classify sasang constitutions to four types : so-yang-in type, tae-yang-in type, tae-em-in type, so-em-in type by the utilization of QSCC II and the doctor aid of oriental medicine, and also survey differences of classified sasang constitutions with previous studies. This study tries to identify significant features between major jobs resulting from sasang constitution types in a specific small & medium enterprise producing agricultural machinery(a tractor, a combine, etc). The results of this case study indicate that sasang constitution types influences job types. Under the working conditions that virtual reality scene photographed by video camera are running, also the effects of brain function of each worker using Electroencephalograms(EEGs) are investigated. Electroencephalograms(EEGs) provide much information about the brain function, such as relaxation, concentration, various thoughts and so on. Previous studies reported the appearance of ${\theta}$ waves and an increase in the ${\alpha}$ waves during psychologically satisfaction conditions. An statistical analysis of experiments conducted shows the various changes of brain waves(${\alpha},{\beta},{\theta},{\delta}$ waves). By means of these study results, we can identify that sasang constitutions should be applied to contribute much to quality advancement and productivity improvement through a comparative study on the job characteristic.

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Short term outcomes of topiramate monotherapy as a first-line treatment in newly diagnosed West syndrome

  • Lee, Gyu-Min;Lee, Kyung-Suk;Lee, Eun-Hye;Chung, Sa-Jun
    • Clinical and Experimental Pediatrics
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    • v.54 no.9
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    • pp.380-384
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    • 2011
  • Purpose: To investigate the efficacy of topiramate monotherapy in West syndrome prospectively. Methods: The study population included 28 patients (15 male and 13 female children aged 2 to 18 months) diagnosed with West syndrome. After a 2-week baseline period for documentation of the frequency of spasms, topiramate was initiated at 2 mg/kg/day. The dose was increased by 2 mg/kg every week to a maximum of 12 mg/kg/day. Clinical assessment was based on the parents' report and a neurological examination every 2 weeks for the first 2 months of treatment. The baseline electroencephalograms (EEGs) were compared with the post-treatment EEGs at 2 weeks and 1 month. Results: West syndrome was considered to be cryptogenic in 7 of the 28 patients and symptomatic in 21 patients. After treatment, 11 patients (39%) became spasm-free, 6 (21%) had more than 50% spasms-reduction, 3 (11%) showed less than 50% reduction, and 8 (29%) did not respond. The effective daily dose for achieving more than 50% reduction in spasm frequency, including becoming spasm-free, was found to be $5.8{\pm}1.1$ mg/kg/day. Nine patients (32%) showed complete disappearance of spasms and hypsarrhythmia, and 11 (39%) showed improved EEG results. Despite adverse events (4 instances of irritability, 3 of drowsiness, and 1 of decreased feeding), no patients discontinued the medication. Conclusion: Topiramate monotherapy seems to be effective and well tolerated as a first line therapy for West syndrome and is not associated with serious adverse effects.