Accessibility navigation


Dynamic causal modeling applied to fMRI data shows high reliability

Schuyler, B., Ollinger, J. M., Oakes, T. R., Johnstone, T. and Davidson, R. J. (2010) Dynamic causal modeling applied to fMRI data shows high reliability. NeuroImage, 49 (1). pp. 603-611. ISSN 1053-8119

Full text not archived in this repository.

To link to this article DOI: 10.1016/j.neuroimage.2009.07.015

Abstract/Summary

Sensitivity, specificity, and reproducibility are vital to interpret neuroscientific results from functional magnetic resonance imaging (fMRI) experiments. Here we examine the scan–rescan reliability of the percent signal change (PSC) and parameters estimated using Dynamic Causal Modeling (DCM) in scans taken in the same scan session, less than 5 min apart. We find fair to good reliability of PSC in regions that are involved with the task, and fair to excellent reliability with DCM. Also, the DCM analysis uncovers group differences that were not present in the analysis of PSC, which implies that DCM may be more sensitive to the nuances of signal changes in fMRI data.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Psychopathology and Affective Neuroscience
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
ID Code:7598
Uncontrolled Keywords:Dynamic Causal Modeling; FMRI; Test–retest; Reproducibility; Reliability
Publisher:Elsevier

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation