Data-driven region-of-interest selection without inflating Type I error rate
(2017)
Journal Article
Brooks, J., Zoumpoulaki, A., & Bowman, H. (2017). Data-driven region-of-interest selection without inflating Type I error rate. Psychophysiology, 54(1), 100 -113. https://doi.org/10.1111/psyp.12682
In ERP and other large multidimensional neuroscience data sets, researchers often select regions of interest (ROIs) for analysis. The method of ROI selection can critically affect the conclusions of a study by causing the researcher to miss effects i... Read More about Data-driven region-of-interest selection without inflating Type I error rate.