Robust estimation of sulcal morphology

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...

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Main Author: Christopher R. Madan
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Brain Informatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40708-019-0098-1
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author Christopher R. Madan
author_facet Christopher R. Madan
author_sort Christopher R. Madan
collection DOAJ
description 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/.
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spelling doaj.art-187d7591a56844269d14774a321012332022-12-21T23:57:44ZengSpringerOpenBrain Informatics2198-40182198-40262019-06-016111110.1186/s40708-019-0098-1Robust estimation of sulcal morphologyChristopher R. Madan0School of Psychology, University of NottinghamAbstract 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/.http://link.springer.com/article/10.1186/s40708-019-0098-1Sulcal widthSulcal depthAgeCortical structureAtrophyGyrification
spellingShingle Christopher R. Madan
Robust estimation of sulcal morphology
Brain Informatics
Sulcal width
Sulcal depth
Age
Cortical structure
Atrophy
Gyrification
title Robust estimation of sulcal morphology
title_full Robust estimation of sulcal morphology
title_fullStr Robust estimation of sulcal morphology
title_full_unstemmed Robust estimation of sulcal morphology
title_short Robust estimation of sulcal morphology
title_sort robust estimation of sulcal morphology
topic Sulcal width
Sulcal depth
Age
Cortical structure
Atrophy
Gyrification
url http://link.springer.com/article/10.1186/s40708-019-0098-1
work_keys_str_mv AT christopherrmadan robustestimationofsulcalmorphology