Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ukeob Park"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Developing reliable biomarkers is important for screening Alzheimer’s disease (AD) and monitoring its progression. Although EEG is non-invasive direct measurement of brain neural activity and has potentials for various neurologic disorders
Externí odkaz:
https://doaj.org/article/5942928ac74f470ebf573b9945920c49
Autor:
Minwoo Lee, Yuseong Hong, Sungsik An, Ukeob Park, Jaekang Shin, Jeongjae Lee, Mi Sun Oh, Byung-Chul Lee, Kyung-Ho Yu, Jae-Sung Lim, Seung Wan Kang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
ObjectivesMore than half of patients with acute ischemic stroke develop post-stroke cognitive impairment (PSCI), a significant barrier to future neurological recovery. Thus, predicting cognitive trajectories post-AIS is crucial. Our primary objective
Externí odkaz:
https://doaj.org/article/4e20795074c34501b140ce4407880f2e
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Quantitative electroencephalography (QEEG) analysis is commonly adopted for the investigation of various neurological disorders, revealing electroencephalogram (EEG) features associated with specific dysfunctions. Conventionally, topographies are wid
Externí odkaz:
https://doaj.org/article/e3503650a1fc47f09e31c49feec5e8f8
Autor:
Hee Kyung Park, Seong Hye Choi, SeonMyeong Kim, Ukeob Park, Seung Wan Kang, Jee Hyang Jeong, So Young Moon, Chang Hyung Hong, Hong-Sun Song, Buong-O Chun, Sun Min Lee, Muncheong Choi, Kyung Won Park, Byeong C. Kim, Soo Hyun Cho, Hae Ri Na, Yoo Kyoung Park
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Quantitative electroencephalography (QEEG) has proven useful in predicting the response to various treatments, but, until now, no study has investigated changes in functional connectivity using QEEG following a lifestyle intervention program. We aime
Externí odkaz:
https://doaj.org/article/9d7c81fad8714466b943600b41bbba56
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Depression is a prevalent mental disorder in modern society, causing many people to suffer or even commit suicide. Psychiatrists and psychologists typically diagnose depression using representative tests, such as the Beck’s Depression Inventory (BD
Externí odkaz:
https://doaj.org/article/3ed0f56d30504d4fbac07f1de7ed6513
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
We describe the utility of a standardized index (Z-score) in quantitative EEG (QEEG) capable of when referenced to a resting-state, sex- and age-differentiated QEEG normative database (ISB-NormDB). Our ISB-NormDB comprises data for 1,289 subjects (55
Externí odkaz:
https://doaj.org/article/8cb66cf396044a6bb6c496171297e5f5
Autor:
Yuseong Hong, Taegyun Jeong, Ukeob Park, Daekeun Kim, Young Chul Youn, Hee-Jin Kim, Seonghye Choi, Jee Hyang Jeong, Soo Jin Yoon, Kyung Won Park, Eun-Joo Kim, Bora Yoon, Jae-Won Jang, Hee Jin Kim, Jin Yong Hong, Jun-Young Lee, Seung Wan Kang
Introduction: Alzheimer's disease dementia (ADD) has now become a crucial concern for modern society as a result of increased life expectancy. However, it is often difficult for a majority of the population to afford expensive medical imaging tests f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1011d32e7f19e193df3aec2355c3782a
https://doi.org/10.21203/rs.3.rs-2801213/v1
https://doi.org/10.21203/rs.3.rs-2801213/v1
Publikováno v:
Alzheimer's & Dementia. 18
Publikováno v:
Alzheimer's & Dementia. 18
Region-specific Brain Age Prediction Models for Children and Adolescents Derived by Machine Learning
EEG biomarkers can reveal significant and actionable differences in brain development between normal children and those with developmental disorders. Frontal slow frequency EEG is one common differentiator between normal and abnormal brain function.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ec61982104605b35cc5e418ede7783
https://doi.org/10.21203/rs.3.rs-839010/v1
https://doi.org/10.21203/rs.3.rs-839010/v1