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A protocol for ultra-high field laminar fMRI in the human brain
Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure ac...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039727/ https://www.ncbi.nlm.nih.gov/pubmed/33851140 http://dx.doi.org/10.1016/j.xpro.2021.100415 |
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author | Jia, Ke Zamboni, Elisa Rua, Catarina Goncalves, Nuno Reis Kemper, Valentin Ng, Adrian Ka Tsun Rodgers, Christopher T. Williams, Guy Goebel, Rainer Kourtzi, Zoe |
author_facet | Jia, Ke Zamboni, Elisa Rua, Catarina Goncalves, Nuno Reis Kemper, Valentin Ng, Adrian Ka Tsun Rodgers, Christopher T. Williams, Guy Goebel, Rainer Kourtzi, Zoe |
author_sort | Jia, Ke |
collection | PubMed |
description | Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculature-related confounders to improve the spatial accuracy of the fMRI signal. For complete details on the use and execution of this protocol, please refer to Jia et al. (2020) and Zamboni et al. (2020). |
format | Online Article Text |
id | pubmed-8039727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80397272021-04-12 A protocol for ultra-high field laminar fMRI in the human brain Jia, Ke Zamboni, Elisa Rua, Catarina Goncalves, Nuno Reis Kemper, Valentin Ng, Adrian Ka Tsun Rodgers, Christopher T. Williams, Guy Goebel, Rainer Kourtzi, Zoe STAR Protoc Protocol Ultra-high field (UHF) neuroimaging affords the sub-millimeter resolution that allows researchers to interrogate brain computations at a finer scale than that afforded by standard fMRI techniques. Here, we present a step-by-step protocol for using UHF imaging (Siemens Terra 7T scanner) to measure activity in the human brain. We outline how to preprocess the data using a pipeline that combines tools from SPM, FreeSurfer, ITK-SNAP, and BrainVoyager and correct for vasculature-related confounders to improve the spatial accuracy of the fMRI signal. For complete details on the use and execution of this protocol, please refer to Jia et al. (2020) and Zamboni et al. (2020). Elsevier 2021-03-26 /pmc/articles/PMC8039727/ /pubmed/33851140 http://dx.doi.org/10.1016/j.xpro.2021.100415 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Jia, Ke Zamboni, Elisa Rua, Catarina Goncalves, Nuno Reis Kemper, Valentin Ng, Adrian Ka Tsun Rodgers, Christopher T. Williams, Guy Goebel, Rainer Kourtzi, Zoe A protocol for ultra-high field laminar fMRI in the human brain |
title | A protocol for ultra-high field laminar fMRI in the human brain |
title_full | A protocol for ultra-high field laminar fMRI in the human brain |
title_fullStr | A protocol for ultra-high field laminar fMRI in the human brain |
title_full_unstemmed | A protocol for ultra-high field laminar fMRI in the human brain |
title_short | A protocol for ultra-high field laminar fMRI in the human brain |
title_sort | protocol for ultra-high field laminar fmri in the human brain |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039727/ https://www.ncbi.nlm.nih.gov/pubmed/33851140 http://dx.doi.org/10.1016/j.xpro.2021.100415 |
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