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The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource
The NIMH Healthy Research Volunteer Dataset is a collection of phenotypic data characterizing healthy research volunteers using clinical assessments such as assays of blood and urine, mental health assessments, diagnostic and dimensional measures of mental health, cognitive and neuropsychological fu...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403972/ https://www.ncbi.nlm.nih.gov/pubmed/36008415 http://dx.doi.org/10.1038/s41597-022-01623-9 |
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author | Nugent, Allison C. Thomas, Adam G. Mahoney, Margaret Gibbons, Alison Smith, Jarrod T. Charles, Antoinette J. Shaw, Jacob S. Stout, Jeffrey D. Namyst, Anna M. Basavaraj, Arshitha Earl, Eric Riddle, Travis Snow, Joseph Japee, Shruti Pavletic, Adriana J. Sinclair, Stephen Roopchansingh, Vinai Bandettini, Peter A. Chung, Joyce |
author_facet | Nugent, Allison C. Thomas, Adam G. Mahoney, Margaret Gibbons, Alison Smith, Jarrod T. Charles, Antoinette J. Shaw, Jacob S. Stout, Jeffrey D. Namyst, Anna M. Basavaraj, Arshitha Earl, Eric Riddle, Travis Snow, Joseph Japee, Shruti Pavletic, Adriana J. Sinclair, Stephen Roopchansingh, Vinai Bandettini, Peter A. Chung, Joyce |
author_sort | Nugent, Allison C. |
collection | PubMed |
description | The NIMH Healthy Research Volunteer Dataset is a collection of phenotypic data characterizing healthy research volunteers using clinical assessments such as assays of blood and urine, mental health assessments, diagnostic and dimensional measures of mental health, cognitive and neuropsychological functioning, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG). In addition, blood samples of healthy volunteers are banked for future analyses. All data collected in this protocol are broadly shared in the OpenNeuro repository, in the Brain Imaging Data Structure (BIDS) format. In addition, task paradigms and basic pre-processing scripts are shared on GitHub. There are currently few open access MEG datasets, and multimodal neuroimaging datasets are even more rare. Due to its depth of characterization of a healthy population in terms of brain health, this dataset may contribute to a wide array of secondary investigations of non-clinical and clinical research questions. |
format | Online Article Text |
id | pubmed-9403972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94039722022-08-25 The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource Nugent, Allison C. Thomas, Adam G. Mahoney, Margaret Gibbons, Alison Smith, Jarrod T. Charles, Antoinette J. Shaw, Jacob S. Stout, Jeffrey D. Namyst, Anna M. Basavaraj, Arshitha Earl, Eric Riddle, Travis Snow, Joseph Japee, Shruti Pavletic, Adriana J. Sinclair, Stephen Roopchansingh, Vinai Bandettini, Peter A. Chung, Joyce Sci Data Data Descriptor The NIMH Healthy Research Volunteer Dataset is a collection of phenotypic data characterizing healthy research volunteers using clinical assessments such as assays of blood and urine, mental health assessments, diagnostic and dimensional measures of mental health, cognitive and neuropsychological functioning, structural and functional magnetic resonance imaging (MRI), along with diffusion tensor imaging (DTI), and a comprehensive magnetoencephalography battery (MEG). In addition, blood samples of healthy volunteers are banked for future analyses. All data collected in this protocol are broadly shared in the OpenNeuro repository, in the Brain Imaging Data Structure (BIDS) format. In addition, task paradigms and basic pre-processing scripts are shared on GitHub. There are currently few open access MEG datasets, and multimodal neuroimaging datasets are even more rare. Due to its depth of characterization of a healthy population in terms of brain health, this dataset may contribute to a wide array of secondary investigations of non-clinical and clinical research questions. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9403972/ /pubmed/36008415 http://dx.doi.org/10.1038/s41597-022-01623-9 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 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 Nugent, Allison C. Thomas, Adam G. Mahoney, Margaret Gibbons, Alison Smith, Jarrod T. Charles, Antoinette J. Shaw, Jacob S. Stout, Jeffrey D. Namyst, Anna M. Basavaraj, Arshitha Earl, Eric Riddle, Travis Snow, Joseph Japee, Shruti Pavletic, Adriana J. Sinclair, Stephen Roopchansingh, Vinai Bandettini, Peter A. Chung, Joyce The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title | The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title_full | The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title_fullStr | The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title_full_unstemmed | The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title_short | The NIMH intramural healthy volunteer dataset: A comprehensive MEG, MRI, and behavioral resource |
title_sort | nimh intramural healthy volunteer dataset: a comprehensive meg, mri, and behavioral resource |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403972/ https://www.ncbi.nlm.nih.gov/pubmed/36008415 http://dx.doi.org/10.1038/s41597-022-01623-9 |
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