Cargando…
Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease
Growing evidence links impairment of brain functions in Alzheimer's disease (AD) with disruptions of brain functional connectivity. However, whether the AD brain shows similar changes from a dynamic or cross-frequency view remains poorly explored. This paper provides an effective framework to i...
Autores principales: | Cai, Lihui, Wei, Xile, Liu, Jing, Zhu, Lin, Wang, Jiang, Deng, Bin, Yu, Haitao, Wang, Ruofan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040198/ https://www.ncbi.nlm.nih.gov/pubmed/32132892 http://dx.doi.org/10.3389/fnins.2020.00051 |
Ejemplares similares
-
Identification of Alzheimer's EEG With a WVG Network-Based Fuzzy Learning Approach
por: Yu, Haitao, et al.
Publicado: (2020) -
Aberrant Brain Network Integration and Segregation in Diabetic Peripheral Neuropathy Revealed by Structural Connectomics
por: Yang, Fangxue, et al.
Publicado: (2020) -
Dynamics of Segregation and Integration in Directional Brain Networks: Illustration in Soldiers With PTSD and Neurotrauma
por: Rangaprakash, D., et al.
Publicado: (2019) -
A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network
por: Wang, Ruofan, et al.
Publicado: (2023) -
Multiplex Networks for Early Diagnosis of Alzheimer's Disease
por: Amoroso, Nicola, et al.
Publicado: (2018)