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Improving the sensitivity of cluster‐based statistics for functional magnetic resonance imaging data
Because of the high dimensionality of neuroimaging data, identifying a statistical test that is both valid and maximally sensitive is an important challenge. Here, we present a combination of two approaches for functional magnetic resonance imaging (fMRI) data analysis that together result in substa...
| 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/PMC8127161/ https://www.ncbi.nlm.nih.gov/pubmed/33724597 http://dx.doi.org/10.1002/hbm.25399 |