Cargando…
Functional connectivity network estimation with an inter-similarity prior for mild cognitive impairment classification
Functional connectivity network (FCN) analysis is an effective technique for modeling human brain patterns and diagnosing neurological disorders such as Alzheimer’s disease (AD) and its early stage, Mild Cognitive Impairment. However, accurately estimating biologically meaningful and discriminative...
Autores principales: | Li, Weikai, Xu, Xiaowen, Jiang, Wei, Wang, Peijun, Gao, Xin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521542/ https://www.ncbi.nlm.nih.gov/pubmed/32921634 http://dx.doi.org/10.18632/aging.103719 |
Ejemplares similares
-
Group Similarity Constraint Functional Brain Network Estimation for Mild Cognitive Impairment Classification
por: Gao, Xin, et al.
Publicado: (2020) -
Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification
por: Li, Weikai, et al.
Publicado: (2021) -
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment
por: Zhou, Yueying, et al.
Publicado: (2018) -
Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
por: Wang, Pan, et al.
Publicado: (2015) -
Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View
por: Xu, Xiaowen, et al.
Publicado: (2020)