Faculty Collaboration Database

An evaluation of thresholding techniques in fMRI analysis. Neuroimage 2004 May;22(1):95-108 PMID: 15110000

Pubmed ID

15110000

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

Authors

Brent R. Logan PhD Director, Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Daniel B. Rowe PhD Adjunct Professor in the Biophysics department at Medical College of Wisconsin

Scopus

2-s2.0-1942425117   89 Citations

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