Test–retest reliability of brain morphology estimates

Madan, Christopher R.; Kensinger, Elizabeth A.

Abstract

Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences.

• Journal Article Type: Article
• Publication Date: Jun 30, 2017
• Journal: Brain Informatics
• Print ISSN: 2198-4018
• Electronic ISSN: 2198-4026
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 2
• APA6 Citation: Madan, C. R., & Kensinger, E. A. (2017). Test–retest reliability of brain morphology estimates. Brain Informatics, 4(2), https://doi.org/10.1007/s40708-016-0060-4
• DOI: https://doi.org/10.1007/s40708-016-0060-4
• Keywords: Cortical structure, Subcortical reliability, Fractal dimensionality Cortical thickness, Gyrification, Structural complexity
• Publisher URL: https://link.springer.com/article/10.1007/s40708-016-0060-4
• Copyright Statement: Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0