Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study
Abstract The Adolescent Brain Cognitive Development (ABCD) Study® has collected data from over 10,000 children across 21 sites, providing insights into adolescent brain development. However, site-specific scanner variability has made it challenging to use diffusion MRI (dMRI) data from this study. T...
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03058-w |
| _version_ | 1827328711058259968 |
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| author | Suheyla Cetin-Karayumak Fan Zhang Ryan Zurrin Tashrif Billah Leo Zekelman Nikos Makris Steve Pieper Lauren J. O’Donnell Yogesh Rathi |
| author_facet | Suheyla Cetin-Karayumak Fan Zhang Ryan Zurrin Tashrif Billah Leo Zekelman Nikos Makris Steve Pieper Lauren J. O’Donnell Yogesh Rathi |
| author_sort | Suheyla Cetin-Karayumak |
| collection | DOAJ |
| description | Abstract The Adolescent Brain Cognitive Development (ABCD) Study® has collected data from over 10,000 children across 21 sites, providing insights into adolescent brain development. However, site-specific scanner variability has made it challenging to use diffusion MRI (dMRI) data from this study. To address this, a dataset of harmonized and processed ABCD dMRI data (from release 3) has been created, comprising quality-controlled imaging data from 9,345 subjects, focusing exclusively on the baseline session, i.e., the first time point of the study. This resource required substantial computational time (approx. 50,000 CPU hours) for harmonization, whole-brain tractography, and white matter parcellation. The dataset includes harmonized dMRI data, 800 white matter clusters, 73 anatomically labeled white matter tracts in full and low resolution, and 804 different dMRI-derived measures per subject (72.3 TB total size). Accessible via the NIMH Data Archive, it offers a large-scale dMRI dataset for studying structural connectivity in child and adolescent neurodevelopment. Additionally, several post-harmonization experiments were conducted to demonstrate the success of the harmonization process on the ABCD dataset. |
| first_indexed | 2024-03-07T15:21:15Z |
| format | Article |
| id | doaj.art-bdb79f535d9e49988ae0e0d10eea9b3b |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-07T15:21:15Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-bdb79f535d9e49988ae0e0d10eea9b3b2024-03-05T17:39:17ZengNature PortfolioScientific Data2052-44632024-02-0111112210.1038/s41597-024-03058-wHarmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development StudySuheyla Cetin-Karayumak0Fan Zhang1Ryan Zurrin2Tashrif Billah3Leo Zekelman4Nikos Makris5Steve Pieper6Lauren J. O’Donnell7Yogesh Rathi8Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Radiology, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Psychiatry, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Psychiatry, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Psychiatry, Brigham and Women’s Hospital, Harvard Medical SchoolIsomics, Inc.Department of Radiology, Brigham and Women’s Hospital, Harvard Medical SchoolDepartment of Psychiatry, Brigham and Women’s Hospital, Harvard Medical SchoolAbstract The Adolescent Brain Cognitive Development (ABCD) Study® has collected data from over 10,000 children across 21 sites, providing insights into adolescent brain development. However, site-specific scanner variability has made it challenging to use diffusion MRI (dMRI) data from this study. To address this, a dataset of harmonized and processed ABCD dMRI data (from release 3) has been created, comprising quality-controlled imaging data from 9,345 subjects, focusing exclusively on the baseline session, i.e., the first time point of the study. This resource required substantial computational time (approx. 50,000 CPU hours) for harmonization, whole-brain tractography, and white matter parcellation. The dataset includes harmonized dMRI data, 800 white matter clusters, 73 anatomically labeled white matter tracts in full and low resolution, and 804 different dMRI-derived measures per subject (72.3 TB total size). Accessible via the NIMH Data Archive, it offers a large-scale dMRI dataset for studying structural connectivity in child and adolescent neurodevelopment. Additionally, several post-harmonization experiments were conducted to demonstrate the success of the harmonization process on the ABCD dataset.https://doi.org/10.1038/s41597-024-03058-w |
| spellingShingle | Suheyla Cetin-Karayumak Fan Zhang Ryan Zurrin Tashrif Billah Leo Zekelman Nikos Makris Steve Pieper Lauren J. O’Donnell Yogesh Rathi Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study Scientific Data |
| title | Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study |
| title_full | Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study |
| title_fullStr | Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study |
| title_full_unstemmed | Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study |
| title_short | Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study |
| title_sort | harmonized diffusion mri data and white matter measures from the adolescent brain cognitive development study |
| url | https://doi.org/10.1038/s41597-024-03058-w |
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