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,...
| Principais autores: | , , , , , , , , , , , |
|---|---|
| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Elsevier
2016
|