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A longitudinal multi-scanner multimodal human neuroimaging dataset

Human neuroimaging has led to an overwhelming amount of research into brain function in healthy and clinical populations. However, a better appreciation of the limitations of small sample studies has led to an increased number of multi-site, multi-scanner protocols to understand human brain function...

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Autores principales: Hawco, Colin, Dickie, Erin W., Herman, Gabrielle, Turner, Jessica A., Argyelan, Miklos, Malhotra, Anil K., Buchanan, Robert W., Voineskos, Aristotle N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198098/
https://www.ncbi.nlm.nih.gov/pubmed/35701471
http://dx.doi.org/10.1038/s41597-022-01386-3
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author Hawco, Colin
Dickie, Erin W.
Herman, Gabrielle
Turner, Jessica A.
Argyelan, Miklos
Malhotra, Anil K.
Buchanan, Robert W.
Voineskos, Aristotle N.
author_facet Hawco, Colin
Dickie, Erin W.
Herman, Gabrielle
Turner, Jessica A.
Argyelan, Miklos
Malhotra, Anil K.
Buchanan, Robert W.
Voineskos, Aristotle N.
author_sort Hawco, Colin
collection PubMed
description Human neuroimaging has led to an overwhelming amount of research into brain function in healthy and clinical populations. However, a better appreciation of the limitations of small sample studies has led to an increased number of multi-site, multi-scanner protocols to understand human brain function. As part of a multi-site project examining social cognition in schizophrenia, a group of “travelling human phantoms” had structural T1, diffusion, and resting-state functional MRIs obtained annually at each of three sites. Scan protocols were carefully harmonized across sites prior to the study. Due to scanner upgrades at each site (all sites acquired PRISMA MRIs during the study) and one participant being replaced, the end result was 30 MRI scans across 4 people, 6 MRIs, and 4 years. This dataset includes multiple neuroimaging modalities and repeated scans across six MRIs. It can be used to evaluate differences across scanners, consistency of pipeline outputs, or test multi-scanner harmonization approaches.
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spelling pubmed-91980982022-06-16 A longitudinal multi-scanner multimodal human neuroimaging dataset Hawco, Colin Dickie, Erin W. Herman, Gabrielle Turner, Jessica A. Argyelan, Miklos Malhotra, Anil K. Buchanan, Robert W. Voineskos, Aristotle N. Sci Data Data Descriptor Human neuroimaging has led to an overwhelming amount of research into brain function in healthy and clinical populations. However, a better appreciation of the limitations of small sample studies has led to an increased number of multi-site, multi-scanner protocols to understand human brain function. As part of a multi-site project examining social cognition in schizophrenia, a group of “travelling human phantoms” had structural T1, diffusion, and resting-state functional MRIs obtained annually at each of three sites. Scan protocols were carefully harmonized across sites prior to the study. Due to scanner upgrades at each site (all sites acquired PRISMA MRIs during the study) and one participant being replaced, the end result was 30 MRI scans across 4 people, 6 MRIs, and 4 years. This dataset includes multiple neuroimaging modalities and repeated scans across six MRIs. It can be used to evaluate differences across scanners, consistency of pipeline outputs, or test multi-scanner harmonization approaches. Nature Publishing Group UK 2022-06-14 /pmc/articles/PMC9198098/ /pubmed/35701471 http://dx.doi.org/10.1038/s41597-022-01386-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Hawco, Colin
Dickie, Erin W.
Herman, Gabrielle
Turner, Jessica A.
Argyelan, Miklos
Malhotra, Anil K.
Buchanan, Robert W.
Voineskos, Aristotle N.
A longitudinal multi-scanner multimodal human neuroimaging dataset
title A longitudinal multi-scanner multimodal human neuroimaging dataset
title_full A longitudinal multi-scanner multimodal human neuroimaging dataset
title_fullStr A longitudinal multi-scanner multimodal human neuroimaging dataset
title_full_unstemmed A longitudinal multi-scanner multimodal human neuroimaging dataset
title_short A longitudinal multi-scanner multimodal human neuroimaging dataset
title_sort longitudinal multi-scanner multimodal human neuroimaging dataset
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198098/
https://www.ncbi.nlm.nih.gov/pubmed/35701471
http://dx.doi.org/10.1038/s41597-022-01386-3
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