The goal of this work is to establish the validity of inferences in fMRI modeling through diagnosis of linear model assumptions, and to characterize fMRI signal and artifacts through exploratory data analysis. While model diagnosis and exploration is an integral part of any statistical modeling endeavor, these aspects have been mostly neglected in functional neuroimaging. We present methods that make diagnosis and exploration of fMRI data feasible. Exploiting the spatiotemporal structure of the data, we use spatial and temporal summaries that characterize model fit and residuals. Our methods involve both statistical and graphical tools. Our statistical tools are diagnostic summary statistics with tractable null distributions, which we have validated in the context of a typical autocorrelated fMRI model. Our dynamic graphical tools allow the exploration of multiple spatial and temporal summaries, with the ability to quickly jump to spatiotemporal detail. We apply our method to a fMRI dataset, demonstrating their ability to localize subtle artifacts and to discover systematic experimental variation not captured by the model.

American Journal of Agricultural EconomicsVolume 51, Issue 5 p. 1455-1463 Role of Transportation in Agricultural Marketing and Development Transportation and Regional Development in Agriculture T. E. Nichols Jr., T. E. Nichols Jr. extension associate professor of economics North Carolina State UniversitySearch for more papers by this author T. E. Nichols Jr., T. E. Nichols Jr. extension associate professor of economics North Carolina State UniversitySearch for more papers by this author First published: 01 December 1969 https://doi.org/10.2307/1238030Citations: 2AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Citing Literature Volume51, Issue5December 1969Pages 1455-1463 RelatedInformation