Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing

Functional magnetic resonance imaging (fMRI) research is routinely criticized for being statistically underpowered due to characteristically small sample sizes and much larger sample sizes are being increasingly recommended. Additionally, various sources of artifact inherent in fMRI data can have de...

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Detalles Bibliográficos
Autores principales: Lombardo, Michael V., Auyeung, Bonnie, Holt, Rosemary J., Waldman, Jack, Ruigrok, Amber N.V., Mooney, Natasha, Bullmore, Edward T., Baron-Cohen, Simon, Kundu, Prantik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102698/
https://www.ncbi.nlm.nih.gov/pubmed/27417345
http://dx.doi.org/10.1016/j.neuroimage.2016.07.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102698/
https://www.ncbi.nlm.nih.gov/pubmed/27417345
http://dx.doi.org/10.1016/j.neuroimage.2016.07.022

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