The relation between statistical power and inference in fMRI

• Published in: PloS one Vol. 12; no. 11; p. e0184923
• Main Authors: Cremers, Henk R., Wager, Tor D., Yarkoni, Tal
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.11.2017; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Brain; Brain - diagnostic imaging; Brain mapping; Brain research; Cognition & reasoning; Computer simulation; Connectome - statistics & numerical data; Consortia; Correlation; Dependent variables; Empirical analysis; Experiments; Extreme values; Functional magnetic resonance imaging; Group dynamics; Humans; Hypotheses; Magnetic resonance imaging; Magnetic Resonance Imaging - statistics & numerical data; Medical imaging; Medicine and Health Sciences; Meta-analysis; Methods; Neuroimaging; Neuroimaging - statistics & numerical data; Neurosciences; Physical Sciences; Research and Analysis Methods; Social Sciences; Statistical inference; Statistical methods; Statistical power; Statistics; Studies; Theory of Mind; Trends; United States

Statistically underpowered studies can result in experimental failure even when all other experimental considerations have been addressed impeccably. In fMRI the combination of a large number of dependent variables, a relatively small number of observations (subjects), and a need to correct for mult...