Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kichang Kwak"'
Autor:
Chae Jung Park, Yu Hyun Park, Kichang Kwak, Soohwan Choi, Hee Jin Kim, Duk L. Na, Sang Won Seo, Min Young Chun
Publikováno v:
Frontiers in Aging Neuroscience, Vol 16 (2024)
BackgroundDetermining brain atrophy is crucial for the diagnosis of neurodegenerative diseases. Despite detailed brain atrophy assessments using three-dimensional (3D) T1-weighted magnetic resonance imaging, their practical utility is limited by cost
Externí odkaz:
https://doaj.org/article/1b9ab131a2854e19a4ae5e9945179b87
Autor:
Muhammad Usman Sadiq, Kichang Kwak, Eran Dayan, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-14 (2022)
Abstract Background The progression rates of Alzheimer’s disease (AD) are variable and dynamic, yet the mechanisms that contribute to heterogeneity in progression rates remain ill-understood. Particularly, the role of synergies in pathological proc
Externí odkaz:
https://doaj.org/article/c244ceca732b4ca08c42e8cbae13df2b
Publikováno v:
Human Brain Mapping. 43:5509-5519
Progressive brain atrophy is a key neuropathological hallmark of Alzheimer's disease (AD) dementia. However, atrophy patterns along the progression of AD dementia are diffuse and variable and are often missed by univariate methods. Consequently, iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32d8d78df8826ae48ab540d3ecaaf2ef
https://doi.org/10.1002/hbm.26026
https://doi.org/10.1002/hbm.26026
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
In this paper, we introduce a novel automatic method for Corpus Callosum (CC) in midsagittal plane segmentation. The robust segmentation of CC in midsagittal plane is key role for quantitative study of structural features of CC associated with variou
Externí odkaz:
https://doaj.org/article/01d7ceddb8f5455a9520131dc0489b20
Autor:
Jong Min Lee, Dong-Won Yang, Kichang Kwak, Yong S. Shim, Dong-Woo Ryu, Jung Hee Cho, Young Chul Youn, Yun Jeong Hong
Publikováno v:
Brain imaging and behavior. 16(5)
A quantitative analysis of brain volume can assist in diagnosis of Alzheimer’s disease (AD) ususally accompannied by brain atrophy. With an automated analysis program Quick Brain Volumetry (QBraVo) developed for volumetric measurements, we measured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6504d2ddb4b3f77f2f5981cd8f33b339
https://pubmed.ncbi.nlm.nih.gov/35697957
https://pubmed.ncbi.nlm.nih.gov/35697957
Publikováno v:
PLoS ONE, Vol 10, Iss 6, p e0129250 (2015)
Structural MR image (MRI) and 18F-Fluorodeoxyglucose-positron emission tomography (FDG-PET) have been widely employed in diagnosis of both Alzheimer's disease (AD) and mild cognitive impairment (MCI) pathology, which has led to the development of met
Externí odkaz:
https://doaj.org/article/55b4f10795214c9a88e1a8727867715a
Autor:
Marc Niethammer, Eran Dayan, Kelly S. Giovanello, Alzheimer’s Disease Neuroimaging Initiative, Martin Styner, Kichang Kwak
Publikováno v:
Cereb Cortex
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer’s disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4fe676f158d9e475dacd64b0b26e4bf
https://pubmed.ncbi.nlm.nih.gov/34322704
https://pubmed.ncbi.nlm.nih.gov/34322704
Publikováno v:
Trends Mol Med
Trajectories of cognitive decline vary considerably among individuals with mild cognitive impairment (MCI). To address this heterogeneity, subtyping approaches have been developed, with the objective of identifying more homogeneous subgroups. To date
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80c535ee00e290efd426a894ad850996
https://pubmed.ncbi.nlm.nih.gov/34996710
https://pubmed.ncbi.nlm.nih.gov/34996710
Mild cognitive impairment (MCI) is considered as the transitional phase between normal cognitive aging and Alzheimer’s disease (AD). Nevertheless, trajectories of cognitive decline vary considerably among individuals with MCI. To address this heter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7447a4d4407d66732b1385566078c2
https://doi.org/10.1101/2020.11.28.20238964
https://doi.org/10.1101/2020.11.28.20238964
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer’s disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0a3c885c1496df6b2a947042d5bc231
https://doi.org/10.1101/2020.05.06.081034
https://doi.org/10.1101/2020.05.06.081034