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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...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3364275/ https://ncbi.nlm.nih.gov/pubmed/22666397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0037828 |
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