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LEICA: Laplacian Eigenmaps for group ICA Decomposition of fMRI data
Independent component analysis (ICA) is a data-driven method that has been increasingly used for analyzing functional Magnetic Resonance Imaging (fMRI) data. However, generalizing ICA to multi-subject studies is non-trivial due to the high-dimensionality of the data, the complexity of the underlying...
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| Yayımlandı: | Neuroimage |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6293470/ https://ncbi.nlm.nih.gov/pubmed/29246846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2017.12.018 |
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