Resting-State Multi-Spectrum Functional Connectivity Networks for Identification of MCI Patients

In this paper, a high-dimensional pattern classification framework, based on functional associations between brain regions during resting-state, is proposed to accurately identify MCI individuals from subjects who experience normal aging. The proposed technique employs multi-spectrum networks to cha...

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Detalles Bibliográficos
Autores principales: Wee, Chong-Yaw, Yap, Pew-Thian, Denny, Kevin, Browndyke, Jeffrey N., Potter, Guy G., Welsh-Bohmer, Kathleen A., Wang, Lihong, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364275/
https://www.ncbi.nlm.nih.gov/pubmed/22666397
http://dx.doi.org/10.1371/journal.pone.0037828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3364275/
https://www.ncbi.nlm.nih.gov/pubmed/22666397
http://dx.doi.org/10.1371/journal.pone.0037828

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