Cargando…
A Deep Spatiotemporal Attention Network for Mild Cognitive Impairment Identification
Mild cognitive impairment (MCI) is a nervous system disease, and its clinical status can be used as an early warning of Alzheimer's disease (AD). Subtle and slow changes in brain structure between patients with MCI and normal controls (NCs) deprive them of effective diagnostic methods. Therefor...
Autores principales: | Feng, Quan, Huang, Yongjie, Long, Yun, Gao, Le, Gao, Xin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339621/ https://www.ncbi.nlm.nih.gov/pubmed/35923552 http://dx.doi.org/10.3389/fnagi.2022.925468 |
Ejemplares similares
-
Accurate module induced brain network construction for mild cognitive impairment identification with functional MRI
por: Du, Yue, et al.
Publicado: (2023) -
Identification and validation of biomarkers based on cellular senescence in mild cognitive impairment
por: Ma, Songmei, et al.
Publicado: (2023) -
Identification of Genetic Networks Reveals Complex Associations and Risk Trajectory Linking Mild Cognitive Impairment to Alzheimer’s Disease
por: Strafella, Claudia, et al.
Publicado: (2022) -
Remnant cholesterol and mild cognitive impairment: A cross-sectional study
por: Zhang, Qiaoyang, et al.
Publicado: (2023) -
A Comparative Study of Structural and Metabolic Brain Networks in Patients With Mild Cognitive Impairment
por: Wei, Cuibai, et al.
Publicado: (2021)