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Test–retest reliability of brain morphology estimates

Madan, Christopher R.; Kensinger, Elizabeth A.

Authors

Elizabeth A. Kensinger



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

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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