• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• 제32권3호
• /
• pp.93-98
• /
• 2021

Electroencephalography (EEG) measures neural activation due to various cognitive processes. EEG and event-related potentials (ERPs) are widely used in studies investigating psychopathology and neural substrates of psychiatric diseases in children and adolescents. The present study aimed to review recent ERP studies in child and adolescent psychiatry. ERPs are non-invasive methods for studying synaptic functions in the brain. ERP might be a candidate biomarker in child-adolescent psychiatry, considering its ability to reflect cognitive and behavioral functions in humans. For the EEG study of psychiatric diseases in children and adolescents, several ERP components have been used, such as mismatch negativity, P300, error-related negativity (ERN), and reward positivity (RewP). Regarding executive functions and inhibition in patients with attention-deficit/hyperactivity disorder (ADHD), P300 latency, and ERN were significantly different in patients with ADHD compared to those in the healthy population. ERN showed meaningful changes in patients with anxiety disorders, such as generalized anxiety disorder, separation anxiety disorder, and obsessive-compulsive disorder. Patients with depression showed significantly attenuated RewP compared to the healthy population, which was related to the symptoms of anhedonia.

• 한국직업건강간호학회지
• /
• 제30권3호
• /
• pp.101-109
• /
• 2021

Purpose: This study aimed to measure COVID-19 stress and the quantitative electroencephalography (QEEG) stress quotient and identify the coping styles of face-to-face service industry employees during the COVID-19 pandemic. Methods: This cross-sectional study administered structured questionnaires consisting of sections on general characteristics, COVID-19 stress, and coping style for stress to 21 face-to-face service industry employees between April 1 and April 18, 2021. The physical tension & stress quotient and psychological distraction & stress quotient were measured in the prefrontal lobe with QEEG. Results: Emotional easiness (r=.62, p=.002) and escape-avoidance (r=.55, p=.009) as a passive coping style were associated with COVID-19 stress, and seeking social support as an active coping style was associated with the left physical tension & stress quotient (r=.47, p=.031). Conclusion: These findings provide evidence regarding the objective status of the mental health of face-to-face service industry employees using both a self-reported scale and neuroscientific indicators, including brain quotients.

• ETRI Journal
• /
• 제44권4호
• /
• pp.672-685
• /
• 2022

This article proposes a subject-independent application of brain-computer interfacing (BCI). A 32-channel Electroencephalography (EEG) device is used to measure imagined speech (SI) of four words (sos, stop, medicine, washroom) and one phrase (come-here) across 13 subjects. A deep long short-term memory (LSTM) network has been adopted to recognize the above signals in seven EEG frequency bands individually in nine major regions of the brain. The results show a maximum accuracy of 73.56% and a network prediction time (NPT) of 0.14 s which are superior to other state-of-the-art techniques in the literature. Our analysis reveals that the alpha band can recognize SI better than other EEG frequencies. To reinforce our findings, the above work has been compared by models based on the gated recurrent unit (GRU), convolutional neural network (CNN), and six conventional classifiers. The results show that the LSTM model has 46.86% more average accuracy in the alpha band and 74.54% less average NPT than CNN. The maximum accuracy of GRU was 8.34% less than the LSTM network. Deep networks performed better than traditional classifiers.

• 수면정신생리
• /
• 제3권2호
• /
• pp.1-17
• /
• 1996

To demonstrate the clinical usefulness of electroencephalography (EEG) and factors increasing the usefulness of EEG, the authors evaluated each relationship between EEG related factors and clinical variables, and neuroimaging studies (CT and MRI)-related factors, and factors which are related with routine neurological examination for 207 patients who had been evaluated with both of EEG and neuroimaging study(CT or/and MRI). The results were as follows: 1) Abnormality of EEG findings had significant relationships with chief complaints, diagnosis, medication use, seizure attack, pathological reflex, and level of consciousness. However there were no significant correlations between abnormality of EEG findings and neuroimaging studies (CT and MRI)- related factors. 2) Laterality of EEG findings had significant relationships with abnormality, laterality, and focality of CT findings, and also with abnormality of MRI findings. But there were no significant correlations between laterality of EEG findings and clinical variables, and neurological examination-related factors. 3) Anterior-posterior distribution of EEG findings was significantly related with medication use. 4) Focality of EEG findings had significant relationships with sex, sensory dysfunction sign, and cerebellar dysfunction sign. But there were no significant correlations between focality of EEG findings and neuroimaging studies(CT and MRI) related factors. 5) Abnormal EEG pattern had significant correlations with various factors, such as age, chief complaints, duration from onset of symptom to taking MRI, seizure attack, abnormality and nature of lesion in CT findings, cortical atrophy in MRI findings, motor dysfunction sign, sensory dysfunction sign, and pathological reflex. 6) With abnormality on sleep activation, age, age of onset, seizure attack, ventricular enlargement in CT findings, and abnormality of MRI findings were significantly correlated. 7) With abnormality on hyperventilation activation, duration of illness and laterality of MRI findings were significantly correlated. Above results may suggest that abnormality of EEG findings is more closely related with functional change of the brain than structural changes of the brain and laterality of EEG findings is vice versa. And also that medication use has an influence on anterior versus posterior distribution of EEG findings and focality of EEG findings is not related with structural changes of the brain. Activation with sleep may be effective to show age differences and provocation of seizure activity and hyperventilation may be effective to detect the abnormal EEG findings by cerebrovascular insufficiency.

• Journal of Chest Surgery
• /
• 제34권6호
• /
• pp.465-471
• /
• 2001

배경: 저체온은 뇌 대사를 억제하여 뇌를 보호한다고 알려져 있으며, 대동맥 질환 수술 시 완전 순환 정지전에 충분히 시행되고 있다. 일반적으로 임상에서 직장 또는 비인두 온도를 지표로 순환정지를 시행하고 있으나, 순환정지 시 적절한 저체온의 온도 범위나 순환정지 온도를 결정하는 객관적인 지표에 대해서는 아직 명확한 결론이 없다. 본 연구는 수술 중 뇌파검사를 이용해 완전 순환 정지 시 안전한 직장 및 비인두 온도의 적정 수준을 확인하고, 적절한 저체온의 지표로서 뇌파검사의 역할을 알아보고자 하였다. 대상 및 방법: 1999년 3월부터 2000년 8월 31일까지 대동맥 질환으로 대동맥 인조혈관 치환수술 동안 뇌파검사를 병행하면서 완전 순환 정지를 했던 27명의 환자를 대상으로 하였다. 직장 온도와 비인두 온도를 마취유도부터 계속 감시하였으며, 뇌파검사는 10개의 채널로 마취유도부터 뇌 전위 고요상태(electrocerebral silence) 가지 관찰하였다 결과: 뇌 전위 고요 상태에 도달했을 때의 직장 온도와 비인두 온도는 일정한 범위에 있지 않고 다양한 값(직장 11$^{\circ}C$~$25^{\circ}C$; 비인두 7.7$^{\circ}C$ ~23$^{\circ}C$)을 보였으며, 두 온도 사이에 서로 관련이 없었다(p=0.171). 체외순환을 시작하여 뇌 전위 고요상태에 이르기까지 냉각 시간은 25~127분으로 다양하였으며, 환자의 체표면적과 연관이 있었다(p=0.027). 결과: 뇌 전위 고요상태는 다양한 체온에서 발생했으며, 임상에서 일반적으로 적용되는 직장 및 비인두 온도는 뇌 전위 고요상태를 지적할 수 없었다. 그러므로 심혈관계 수술 시 체온에 근거한 저체온 완전 순환 정지는 뇌의 보호를 확신할 수 없으며, 수술 중 뇌파검사의 관찰은 안전한 순환정지를 위한 적절한 저체온의 수준을 확보하기 위해 필요하며 합리적인 방법이었다.

• Neonatal Medicine
• /
• 제16권1호
• /
• pp.1-9
• /
• 2009

Seizures are the most common clinical manifestation of a neurologic insult during the neonatal period. Neonatal seizures continue to present a diagnostic and therapeutic challenge to pediatricians because the recognition and classification of neonatal seizures remains problematic, particularly when clinicians rely only on clinical criteria. Neonatal seizures can permanently disrupt neuronal development, induce synaptic reorganization, alter plasticity, and "prime" the brain to increased damage from seizures later in life. Since neonatal seizures, particularly status epilepticus, predict an increased risk for later epilepsy and other neurologic sequelae, accurate diagnoses are needed for aggressive antiepileptic drug use. The present review summarizes the pathophysiology, etiology, and diagnosis of neonatal seizures.

• 한국정밀공학회지
• /
• 제21권4호
• /
• pp.19-23
• /
• 2004

생체에서 발생되는 생체신호는 신호의 발생원에 따라서, 신호의 물리적 특성에 따라서, 또는 이를 측정하는 센서의 특성에 따라서 분류할 수 있으며, 그 중에서도 임상적 진료를 위한 의료의 범위를 포함하여 다른 분야에도 광범위하게 활용될 수 있는 생체 신호는 전기적인 형태로 측정되는 생체 전기 신호라고 할 수 있다. 여기에서는 생체에서 측정되는 전기적인 신호가 어떻게 활용되고 또 활용될 수 있는지 그 응용 범위에 대하여 살펴보고자 한다.(중략)

• 한국임상수의학회:학술대회논문집
• /
• 한국임상수의학회 2006년도 춘계학술대회
• /
• pp.133-133
• /
• 2006

• Annals of Clinical Neurophysiology
• /
• 제25권2호
• /
• pp.103-105
• /
• 2023

Transient epileptic amnesia and transient global amnesia both exhibit temporary memory loss. The lack of clues of epileptic events and the absence of epileptiform abnormalities in electroencephalography, a clear brain lesion, and interictal cognitive decline can make diagnoses challenging. Here we present a middle-aged female who experienced long-term recurrent transient epileptic amnesia with subtle epileptic features over a period of 3 years.

• 대한의용생체공학회:의공학회지
• /
• 제33권1호
• /
• pp.15-24
• /
• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.