Robust estimation of sulcal morphology

Madan, Christopher R.

Abstract

While it is well established that cortical morphology differs in relation to a variety of inter-individual factors, it is often characterized using estimates of volume, thickness, surface area, or gyrification. Here we developed a computational approach for estimating sulcal width and depth that relies on cortical surface reconstructions output by FreeSurfer. While other approaches for estimating sulcal morphology exist, studies often require the use of multiple brain morphology programs that have been shown to differ in their approaches to localize sulcal landmarks, yielding morphological estimates based on inconsistent boundaries. To demonstrate the approach, sulcal morphology was estimated in three large sample of adults across the lifespan, in relation to aging. A fourth sample is additionally used to estimate test-retest reliability of the approach.

This toolbox is now made freely available as supplemental to this paper: https://cmadan.github.io/calcSulc/.

Citation

Madan, C. R. (2019). Robust estimation of sulcal morphology. Brain Informatics, 6, Article 5. https://doi.org/10.1186/s40708-019-0098-1

• Journal Article Type: Article
• Acceptance Date: May 27, 2019
• Online Publication Date: Jun 11, 2019
• Publication Date: Dec 1, 2019
• Deposit Date: May 28, 2019
• Publicly Available Date: May 29, 2019
• Journal: Brain Informatics
• Print ISSN: 2198-4018
• Electronic ISSN: 2198-4026
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 6
• Article Number: 5
• DOI: https://doi.org/10.1186/s40708-019-0098-1
• Keywords: Sulcal width; Sulcal depth; age; Cortical structure; Atrophy; Gyrification; Cerebral sulci
• Public URL: https://nottingham-repository.worktribe.com/output/2098312
• Publisher URL: https://link.springer.com/article/10.1186%2Fs40708-019-0098-1
• Additional Information: Received: 20 March 2019; Accepted: 29 May 2019; First Online: 11 June 2019; : The author declares that they have no competing interests.