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...

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Detalles Bibliográficos
Autores principales: Ridgway, Gerard R., Litvak, Vladimir, Flandin, Guillaume, Friston, Karl J., Penny, Will D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2012
Materias:
Technical Note
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

Internet

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

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