Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

OBJECTIVE: To assess the predictive ability of regional volume information provided by fully automated brain segmentation software for cerebral amyloid positivity in mild cognitive impairment (MCI). METHODS: This study included 130 subjects with amnestic MCI who participated in the Korean brain agin...

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Detalles Bibliográficos
Autores principales: Kang, Koung Mi, Sohn, Chul-Ho, Byun, Min Soo, Lee, Jun Ho, Yi, Dahyun, Lee, Younghwa, Lee, Jun-Young, Kim, Yu Kyeong, Sohn, Bo Kyung, Yoo, Roh-Eul, Yun, Tae Jin, Choi, Seung Hong, Kim, Ji-hoon, Lee, Dong Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383107/
https://www.ncbi.nlm.nih.gov/pubmed/32801709
http://dx.doi.org/10.2147/NDT.S252293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383107/
https://www.ncbi.nlm.nih.gov/pubmed/32801709
http://dx.doi.org/10.2147/NDT.S252293

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