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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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| Pubblicato in: | Neuroimage |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2009
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| Soggetti: | |
| Accesso online: | 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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