Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification

High-order correlation has recently been proposed to model brain functional connectivity network (FCN) for identifying neurological disorders, such as mild cognitive impairment (MCI) and autism spectrum disorder (ASD). In practice, the high-order FCN (HoFCN) can be derived from multiple low-order FC...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Yueying, Zhang, Limei, Teng, Shenghua, Qiao, Lishan, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305547/
https://www.ncbi.nlm.nih.gov/pubmed/30618582
http://dx.doi.org/10.3389/fnins.2018.00959

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305547/
https://www.ncbi.nlm.nih.gov/pubmed/30618582
http://dx.doi.org/10.3389/fnins.2018.00959

Ejemplares similares