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The problem of low variance voxels in statistical parametric mapping; a new hat avoids a ‘haircut’
Statistical parametric mapping (SPM) locates significant clusters based on a ratio of signal to noise (a ‘contrast’ of the parameters divided by its standard error) meaning that very low noise regions, for example outside the brain, can attain artefactually high statistical values. Similarly, the co...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361668/ https://www.ncbi.nlm.nih.gov/pubmed/22037420 http://dx.doi.org/10.1016/j.neuroimage.2011.10.027 |