Test–retest reliability of brain morphology estimates
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, gyrificat...
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| Format: | Article |
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Springer
2017
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| Online Access: | https://eprints.nottingham.ac.uk/46570/ |
| _version_ | 1848797357545619456 |
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| author | Madan, Christopher R. Kensinger, Elizabeth A. |
| author_facet | Madan, Christopher R. Kensinger, Elizabeth A. |
| author_sort | Madan, Christopher R. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T20:02:36Z |
| format | Article |
| id | nottingham-46570 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:02:36Z |
| publishDate | 2017 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-465702020-05-04T18:53:21Z https://eprints.nottingham.ac.uk/46570/ Test–retest reliability of brain morphology estimates Madan, Christopher R. Kensinger, Elizabeth A. 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. Springer 2017-06-30 Article PeerReviewed Madan, Christopher R. and Kensinger, Elizabeth A. (2017) Test–retest reliability of brain morphology estimates. Brain Informatics, 4 (2). pp. 107-121. ISSN 2198-4026 Cortical structure Subcortical reliability Fractal dimensionality Cortical thickness Gyrification Structural complexity https://link.springer.com/article/10.1007/s40708-016-0060-4 doi:10.1007/s40708-016-0060-4 doi:10.1007/s40708-016-0060-4 |
| spellingShingle | Cortical structure Subcortical reliability Fractal dimensionality Cortical thickness Gyrification Structural complexity Madan, Christopher R. Kensinger, Elizabeth A. Test–retest reliability of brain morphology estimates |
| title | Test–retest reliability of brain morphology estimates |
| title_full | Test–retest reliability of brain morphology estimates |
| title_fullStr | Test–retest reliability of brain morphology estimates |
| title_full_unstemmed | Test–retest reliability of brain morphology estimates |
| title_short | Test–retest reliability of brain morphology estimates |
| title_sort | test–retest reliability of brain morphology estimates |
| topic | Cortical structure Subcortical reliability Fractal dimensionality Cortical thickness Gyrification Structural complexity |
| url | https://eprints.nottingham.ac.uk/46570/ https://eprints.nottingham.ac.uk/46570/ https://eprints.nottingham.ac.uk/46570/ |