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Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection
Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594288/ https://www.ncbi.nlm.nih.gov/pubmed/33882349 http://dx.doi.org/10.1016/j.neuroimage.2021.118082 |
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author | Autio, Joonas A. Zhu, Qi Li, Xiaolian Glasser, Matthew F. Schwiedrzik, Caspar M. Fair, Damien A. Zimmermann, Jan Yacoub, Essa Menon, Ravi S. Van Essen, David C. Hayashi, Takuya Russ, Brian Vanduffel, Wim |
author_facet | Autio, Joonas A. Zhu, Qi Li, Xiaolian Glasser, Matthew F. Schwiedrzik, Caspar M. Fair, Damien A. Zimmermann, Jan Yacoub, Essa Menon, Ravi S. Van Essen, David C. Hayashi, Takuya Russ, Brian Vanduffel, Wim |
author_sort | Autio, Joonas A. |
collection | PubMed |
description | Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined acquisition and analysis protocols would accelerate and improve these efforts. However, consensus on minimal standards for data acquisition protocols and analysis pipelines for NHP imaging remains to be established, particularly for multi-center studies. Here, we draw parallels between NHP and human neuroimaging and provide minimal guidelines for harmonizing and standardizing data acquisition. We advocate robust translation of widely used open-access toolkits that are well established for analyzing human data. We also encourage the use of validated, automated pre-processing tools for analyzing NHP data sets. These guidelines aim to refine methodological and analytical strategies for small and large-scale NHP neuroimaging data. This will improve reproducibility of results, and accelerate the convergence between NHP and human neuroimaging strategies which will ultimately benefit fundamental and translational brain science. |
format | Online Article Text |
id | pubmed-8594288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-85942882021-11-16 Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection Autio, Joonas A. Zhu, Qi Li, Xiaolian Glasser, Matthew F. Schwiedrzik, Caspar M. Fair, Damien A. Zimmermann, Jan Yacoub, Essa Menon, Ravi S. Van Essen, David C. Hayashi, Takuya Russ, Brian Vanduffel, Wim Neuroimage Article Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined acquisition and analysis protocols would accelerate and improve these efforts. However, consensus on minimal standards for data acquisition protocols and analysis pipelines for NHP imaging remains to be established, particularly for multi-center studies. Here, we draw parallels between NHP and human neuroimaging and provide minimal guidelines for harmonizing and standardizing data acquisition. We advocate robust translation of widely used open-access toolkits that are well established for analyzing human data. We also encourage the use of validated, automated pre-processing tools for analyzing NHP data sets. These guidelines aim to refine methodological and analytical strategies for small and large-scale NHP neuroimaging data. This will improve reproducibility of results, and accelerate the convergence between NHP and human neuroimaging strategies which will ultimately benefit fundamental and translational brain science. 2021-04-18 2021-08-01 /pmc/articles/PMC8594288/ /pubmed/33882349 http://dx.doi.org/10.1016/j.neuroimage.2021.118082 Text en 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/ (https://creativecommons.org/licenses/by/4.0/) ) |
spellingShingle | Article Autio, Joonas A. Zhu, Qi Li, Xiaolian Glasser, Matthew F. Schwiedrzik, Caspar M. Fair, Damien A. Zimmermann, Jan Yacoub, Essa Menon, Ravi S. Van Essen, David C. Hayashi, Takuya Russ, Brian Vanduffel, Wim Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title | Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title_full | Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title_fullStr | Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title_full_unstemmed | Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title_short | Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection |
title_sort | minimal specifications for non-human primate mri: challenges in standardizing and harmonizing data collection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594288/ https://www.ncbi.nlm.nih.gov/pubmed/33882349 http://dx.doi.org/10.1016/j.neuroimage.2021.118082 |
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