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,...
| Hauptverfasser: | , , , , , , , , , , , |
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| Format: | Journal article |
| Sprache: | English |
| Veröffentlicht: |
Elsevier
2016
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