A decisional space for fMRI pattern separation using the principal component analysis—a comparative study of language networks in pediatric epilepsy

Atypical functional magnetic resonance imaging (fMRI) language patterns may be identified by visual inspection or by region of interest (ROI)‐based laterality indices (LI) but are constrained by a priori assumptions. We compared a data‐driven novel application of principal component analysis (PCA) t...

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Detalhes bibliográficos
Main Authors: You, Xiaozhen, Adjouadi, Malek, Wang, Jin, Guillen, Magno R., Bernal, Byron, Sullivan, Joseph, Donner, Elizabeth, Bjornson, Bruce, Berl, Madison, Gaillard, William D.
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2012
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3398237/
https://ncbi.nlm.nih.gov/pubmed/22461299
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22069
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