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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Autores principales: Chong-Yaw Wee, Pew-Thian Yap, Kevin Denny, Jeffrey N Browndyke, Guy G Potter, Kathleen A Welsh-Bohmer, Lihong Wang, Dinggang Shen
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/c71e355816754705ba5aa27848594cac
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