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An efficient functional magnetic resonance imaging data reduction strategy using neighborhood preserving embedding algorithm
High dimensionality data have become common in neuroimaging fields, especially group‐level functional magnetic resonance imaging (fMRI) datasets. fMRI connectivity analysis is a widely used, powerful technique for studying functional brain networks to probe underlying mechanisms of brain function an...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886658/ https://www.ncbi.nlm.nih.gov/pubmed/34890077 http://dx.doi.org/10.1002/hbm.25742 |