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Hand classification of fMRI ICA noise components
We present a practical “how-to” guide to help determine whether single-subject fMRI independent components (ICs) characterise structured noise or not. Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check...
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| Udgivet i: | Neuroimage |
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| Main Authors: | , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Academic Press
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5489418/ https://ncbi.nlm.nih.gov/pubmed/27989777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.12.036 |
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