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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2016
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Materias: | |
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 |
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