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Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping
High-field functional magnetic resonance imaging generates in vivo retinotopic maps, but quantifying them remains challenging. Here, we present a pipeline based on conformal geometry and Teichmüller theory for the quantitative characterization of human retinotopic maps. We describe steps for cortica...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323127/ https://www.ncbi.nlm.nih.gov/pubmed/37083318 http://dx.doi.org/10.1016/j.xpro.2023.102246 |
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author | Ta, Duyan Jalili Mallak, Negar Lu, Zhong-Lin Wang, Yalin |
author_facet | Ta, Duyan Jalili Mallak, Negar Lu, Zhong-Lin Wang, Yalin |
author_sort | Ta, Duyan |
collection | PubMed |
description | High-field functional magnetic resonance imaging generates in vivo retinotopic maps, but quantifying them remains challenging. Here, we present a pipeline based on conformal geometry and Teichmüller theory for the quantitative characterization of human retinotopic maps. We describe steps for cortical surface parameterization and surface-spline-based smoothing. We then detail Beltrami coefficient-based mapping, which provides a quantitative and re-constructible description of the retinotopic maps. This framework has been successfully used to analyze the Human Connectome Project’s V1 retinotopic maps. For complete details on the use and execution of this protocol, please refer to Ta et al. (2022).(1) |
format | Online Article Text |
id | pubmed-10323127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103231272023-07-07 Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping Ta, Duyan Jalili Mallak, Negar Lu, Zhong-Lin Wang, Yalin STAR Protoc Protocol High-field functional magnetic resonance imaging generates in vivo retinotopic maps, but quantifying them remains challenging. Here, we present a pipeline based on conformal geometry and Teichmüller theory for the quantitative characterization of human retinotopic maps. We describe steps for cortical surface parameterization and surface-spline-based smoothing. We then detail Beltrami coefficient-based mapping, which provides a quantitative and re-constructible description of the retinotopic maps. This framework has been successfully used to analyze the Human Connectome Project’s V1 retinotopic maps. For complete details on the use and execution of this protocol, please refer to Ta et al. (2022).(1) Elsevier 2023-04-21 /pmc/articles/PMC10323127/ /pubmed/37083318 http://dx.doi.org/10.1016/j.xpro.2023.102246 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Ta, Duyan Jalili Mallak, Negar Lu, Zhong-Lin Wang, Yalin Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title | Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title_full | Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title_fullStr | Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title_full_unstemmed | Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title_short | Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
title_sort | protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323127/ https://www.ncbi.nlm.nih.gov/pubmed/37083318 http://dx.doi.org/10.1016/j.xpro.2023.102246 |
work_keys_str_mv | AT taduyan protocolforquantitativecharacterizationofhumanretinotopicmapsusingquasiconformalmapping AT jalilimallaknegar protocolforquantitativecharacterizationofhumanretinotopicmapsusingquasiconformalmapping AT luzhonglin protocolforquantitativecharacterizationofhumanretinotopicmapsusingquasiconformalmapping AT wangyalin protocolforquantitativecharacterizationofhumanretinotopicmapsusingquasiconformalmapping |