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An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques

Extraction of relevant features from multitask functional MRI (fMRI) data in order to identify potential biomarkers for disease, is an attractive goal. In this paper, we introduce a novel feature-based framework, which is sensitive and accurate in detecting group differences (e.g. controls vs. patie...

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Bibliografske podrobnosti
izdano v:Neuroimage
Main Authors: Sui, Jing, Adali, Tülay, Pearlson, Godfrey D., Calhoun, Vince D.
Format: Artigo
Jezik:Inglês
Izdano: 2009
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4356027/
https://ncbi.nlm.nih.gov/pubmed/19457398
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.01.026
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