2.Utility of Intracranial EEG in Presurgical Evaluation.
Journal of Korean Epilepsy Society 1999;3(2):144-149
No abstract available.
Electroencephalography*
3.Clinical Observation on Pediatric In-Patients Subjected for EEG.
Seung Kie CHEONG ; Hyung Ro MOON
Journal of the Korean Pediatric Society 1983;26(9):891-898
No abstract available.
Electroencephalography*
4.The hypofrontalism of schizophrenics on the topographic mapping of EEG.
Sung Hoon LEE ; Hyun Sook KANG ; Eun Sun HAN ; Ho Young LEE
Journal of Korean Neuropsychiatric Association 1991;30(6):982-989
No abstract available.
Electroencephalography*
5.EEG is sensitive in early diagnosis of anti NMDAR encephalitis and useful in monitoring disease progress
Suhailah Abdullah ; Kheng Seang Lim ; Won Fen Wong ; Hui Jan Tan ; Chong Tin Tan
Neurology Asia 2015;20(2):167-175
Background& Objective: Investigation modalities, such as MRI and CSF examination, are neither
sensitive nor specific in the early phase of anti-NMDAR encephalitis. Nuclear imaging may be
useful to monitor the response to treatment but limited by the availability.We aimed to determine
the role of EEG as a tool for early diagnosis as well as a tool to assess disease progression and
response to treatment. Methods: A total of 99 EEGsdone in 16 patients diagnosed with anti-NMDAR
encephalitis throughout the course of illness, were reviewed retrospectively. The EEG changes were
correlated with the clinical presentations and response to treatment. Sixteen EEGs of patients with
schizophrenia and mood disorder, and 10 EEGs of patients with infective encephalitis were included
as control. Results: EEGs performed during the psychiatric and cognitive dysfunctionphase in patient
with anti-NMDAR encephalitis, showed diffuse background slowing in the delta-theta range in all the
patients. Serial EEGs showed that the dominant background frequency improved with improvement in
cognitive status. Nine patients had complete recovery with normalisation of the EEG abnormalities.
Eight patients had their typical clinical seizure recorded during EEG monitoring, but only 2 (25.0%)
with EEG correlation. Ten patients had status epilepticus (62.5%), 5 had EEG recorded during their
status epilepticus, of which only one with EEG correlation (20.0%). Eleven patients had asymmetric
background (68.8%), but only 1 has correlation with focal changes in the MRI brain (9.1%). Even
though the EEGs of patients with infective encephalitis also showed background slowing, their CSF
analysis was supportive of an infective cause. EEGs of patients with established psychiatric disorder
were within normal limits.
Conclusion: EEG abnormality has a good correlation with the degree of psychiatric and cognitive
dysfunction in patient with anti-NMDAR encephalitis, and is useful in early diagnosis, monitoring the
progress and the response to treatment. However, it has poor correlation with clinical seizures.
Electroencephalography
6.Electroencephalographic Abnormality And Clinical Response In Patients With First - Episode Schizophrenia Treated With Clozapine
Amresh Shrivastava ; Avinash de Sousa ; Megan Johnston ; Nilesh Shah ; Larry Stitt
ASEAN Journal of Psychiatry 2014;15(1):30-38
Objective: Clozapine is seen as a gold standard for treatment refractory schizophrenia; however, it is not recommended for the treatment of first-episode psychosis mainly due to concerns of severe side effects. An indicator for response holds tremendous clinical value to select patients who can benefit from clozapine,
safely. EEG abnormality has been reported to be one such parameter, yet the definite conclusion of the nature of EEG changes and its predictive value remains undetermined. The present study was undertaken to examine electroencephalographic (EEG) abnormalities and clinical response subsequent to clozapine therapy in schizophrenia. Methods: A total of 80 first-episode patients were recruited for a 12 week study, from a tertiary care centre in Mumbai, India. First episode was defined as an illness of less than 2 years duration and first hospitalization since illness. EEG abnormalities, psychopathology, and positive and negative symptoms were examined at baseline
and again after 12 weeks of clozapine treatment. Results: There were some types of EEG abnormalities found in pretreatment state in at least two-thirds of
patients. The number of patients showing EEG abnormality at the end of the 12 weeks of treatment increased significantly, which included theta (θ) frequency,
slow waves, and sharp waves. Symptomatically, significant improvement was seen in both positive as well as negative symptoms scores. However, there was no significant correlation between EEG changes and clinical outcome. Conclusion: There was significant abnormality in the number of patients exhibiting EEG abnormalities. Baseline pretreatment EEG abnormalities were present in a
considerable number of patients, and these EEG abnormalities did not significantly correlate with clinical improvement, except suggesting a trend towards such correlation.
Electroencephalography
7.The Clinical Use of Electroencephalography in Psychiatry
Journal of Korean Neuropsychiatric Association 2019;58(2):75-75
No abstract available.
Electroencephalography
8.Review on identity feature extraction methods based on electroencephalogram signals.
Wenxiao ZHONG ; Xingwei AN ; Yang DI ; Lixin ZHANG ; Dong MING
Journal of Biomedical Engineering 2021;38(6):1203-1210
Biometrics plays an important role in information society. As a new type of biometrics, electroencephalogram (EEG) signals have special advantages in terms of versatility, durability, and safety. At present, the researches on individual identification approaches based on EEG signals draw lots of attention. Identity feature extraction is an important step to achieve good identification performance. How to combine the characteristics of EEG data to better extract the difference information in EEG signals is a research hotspots in the field of identity identification based on EEG in recent years. This article reviewed the commonly used identity feature extraction methods based on EEG signals, including single-channel features, inter-channel features, deep learning methods and spatial filter-based feature extraction methods, etc. and explained the basic principles application methods and related achievements of various feature extraction methods. Finally, we summarized the current problems and forecast the development trend.
Electroencephalography
9.EEG in Epilepsies of Infancy and Childhood.
Journal of Korean Epilepsy Society 1999;3(2):138-143
No abstract available.
Electroencephalography*
;
Epilepsy*
10.Paterns and Localization of Ictal Scalp EEG in Partial Epilesies.
Dae Won SEO ; Seung Bong HONG ; Seung Chul HONG
Journal of Korean Epilepsy Society 1999;3(2):105-117
No abstract available.
Electroencephalography*
;
Scalp*