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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Format: | Article |
Language: | English |
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SpringerOpen
2019-06-01
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Series: | Brain Informatics |
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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/. |
first_indexed | 2024-12-13T05:42:50Z |
format | Article |
id | doaj.art-187d7591a56844269d14774a32101233 |
institution | Directory Open Access Journal |
issn | 2198-4018 2198-4026 |
language | English |
last_indexed | 2024-12-13T05:42:50Z |
publishDate | 2019-06-01 |
publisher | SpringerOpen |
record_format | Article |
series | Brain Informatics |
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 |