Faculty Collaboration Database

An evaluation of thresholding techniques in fMRI analysis. Neuroimage 2004 May;22(1):95-108

Date

04/28/2004

Pubmed ID

15110000

DOI

10.1016/j.neuroimage.2003.12.047

Scopus ID

2-s2.0-1942425117 (requires institutional sign-in at Scopus site)   105 Citations

Abstract

This paper reviews and compares individual voxel-wise thresholding methods for identifying active voxels in single-subject fMRI datasets. Different error rates are described which may be used to calibrate activation thresholds. We discuss methods which control each of the error rates at a prespecified level alpha, including simple procedures which ignore spatial correlation among the test statistics as well as more elaborate ones which incorporate this correlation information. The operating characteristics of the methods are shown through a simulation study, indicating that the error rate used has an important impact on the sensitivity of the thresholding method, but that accounting for correlation has little impact. Therefore, the simple procedures described work well for thresholding most single-subject fMRI experiments and are recommended. The methods are illustrated with a real bilateral finger tapping experiment.

Author List

Logan BR, Rowe DB

Author

Brent R. Logan PhD Director, Professor in the Data Science Institute department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Algorithms
Bayes Theorem
Computer Simulation
Fingers
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Movement