1. Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy-based brain imaging
- Author
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Mary Cazzell, Zi Jing Lin, Li Zeng, Lin Li, and Hanli Liu
- Subjects
Computer science ,Intraclass correlation ,Biomedical Engineering ,Context (language use) ,Machine learning ,computer.software_genre ,Sensitivity and Specificity ,Biomaterials ,Oxygen Consumption ,Neuroimaging ,Image Interpretation, Computer-Assisted ,medicine ,Animals ,Humans ,Oximetry ,Reliability (statistics) ,Protocol (science) ,Brain Mapping ,Spectroscopy, Near-Infrared ,medicine.diagnostic_test ,business.industry ,Brain ,Reproducibility of Results ,Equipment Design ,Image Enhancement ,Atomic and Molecular Physics, and Optics ,Diffuse optical imaging ,Electronic, Optical and Magnetic Materials ,Equipment Failure Analysis ,Functional near-infrared spectroscopy ,Artificial intelligence ,business ,Functional magnetic resonance imaging ,computer ,Algorithms - 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 interrater 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 interest 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.
- Published
- 2015