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Journal of Biomedical Optics • Open Access

Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy–based brain imaging
Author(s): Lin Li; Li Zeng; Zi-Jing Lin; Mary Cazzell; Hanli Liu

Paper Abstract

Test-retest reliability of neuroimaging measurements is an important concern in the investigation of cognitive functions in the human brain. To date, intraclass correlation coefficients (ICCs), originally used in inter-rater reliability studies in behavioral sciences, have become commonly used metrics in reliability studies on neuroimaging and functional near-infrared spectroscopy (fNIRS). However, as there are six popular forms of ICC, the adequateness of the comprehensive understanding of ICCs will affect how one may appropriately select, use, and interpret ICCs toward a reliability study. We first offer a brief review and tutorial on the statistical rationale of ICCs, including their underlying analysis of variance models and technical definitions, in the context of assessment on intertest reliability. Second, we provide general guidelines on the selection and interpretation of ICCs. Third, we illustrate the proposed approach by using an actual research study to assess intertest reliability of fNIRS-based, volumetric diffuse optical tomography of brain activities stimulated by a risk decision-making protocol. Last, special issues that may arise in reliability assessment using ICCs are discussed and solutions are suggested.

Paper Details

Date Published: 20 May 2015
PDF: 13 pages
J. Biomed. Opt. 20(5) 050801 doi: 10.1117/1.JBO.20.5.050801
Published in: Journal of Biomedical Optics Volume 20, Issue 5
Show Author Affiliations
Lin Li, The Univ. of Texas at Arlington (United States)
Li Zeng, The Univ. of Texas at Arlington (United States)
Zi-Jing Lin, The Univ. of Texas at Arlington (United States)
National Synchrotron Radiation Research Ctr. (Taiwan)
Mary Cazzell, Cook Children's Medical Ctr. (United States)
Hanli Liu, The Univ. of Texas at Arlington (United States)


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