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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
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| Materias: | |
| 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 |