Cargando…
Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
Function brain network (FBN) analysis has shown great potential in identifying brain diseases, such as Alzheimer's disease (AD) and its prodromal stage, namely mild cognitive impairment (MCI). It is essential to identify discriminative and interpretable features from function brain networks, so...
Autores principales: | Zhang, Yangyang, Jiang, Xiao, Qiao, Lishan, Liu, Mingxia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374334/ https://www.ncbi.nlm.nih.gov/pubmed/34421530 http://dx.doi.org/10.3389/fnins.2021.720909 |
Ejemplares similares
-
Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification
por: Zhou, Yueying, et al.
Publicado: (2018) -
Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
por: Jiang, Xiao, et al.
Publicado: (2022) -
Fusing Multiview Functional Brain Networks by Joint Embedding for Brain Disease Identification
por: Wang, Chengcheng, et al.
Publicado: (2023) -
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI
por: Chu, Ying, et al.
Publicado: (2022) -
Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification
por: Li, Weikai, et al.
Publicado: (2017)