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A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old
This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-yea...
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/PMC8748964/ https://www.ncbi.nlm.nih.gov/pubmed/35013348 http://dx.doi.org/10.1038/s41597-021-01106-3 |
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author | Wang, Jin Lytle, Marisa N. Weiss, Yael Yamasaki, Brianna L. Booth, James R. |
author_facet | Wang, Jin Lytle, Marisa N. Weiss, Yael Yamasaki, Brianna L. Booth, James R. |
author_sort | Wang, Jin |
collection | PubMed |
description | This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5–10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations. |
format | Online Article Text |
id | pubmed-8748964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87489642022-01-20 A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old Wang, Jin Lytle, Marisa N. Weiss, Yael Yamasaki, Brianna L. Booth, James R. Sci Data Data Descriptor This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5–10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748964/ /pubmed/35013348 http://dx.doi.org/10.1038/s41597-021-01106-3 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/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Wang, Jin Lytle, Marisa N. Weiss, Yael Yamasaki, Brianna L. Booth, James R. A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title | A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title_full | A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title_fullStr | A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title_full_unstemmed | A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title_short | A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
title_sort | longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748964/ https://www.ncbi.nlm.nih.gov/pubmed/35013348 http://dx.doi.org/10.1038/s41597-021-01106-3 |
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