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A neuroimaging dataset of deductive reasoning in school-aged children

Here we describe “Brain development of deductive reasoning” a pediatric neuroimaging dataset freely available on OpenNeuro.org. This dataset includes neuroimaging and standardized assessment data from 56 participants aged 8.47–15 years. Functional Magnetic Resonance Imaging (fMRI) data were collecte...

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Autores principales: Lytle, Marisa N., Prado, Jérôme, Booth, James R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585047/
https://www.ncbi.nlm.nih.gov/pubmed/33134440
http://dx.doi.org/10.1016/j.dib.2020.106405
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author Lytle, Marisa N.
Prado, Jérôme
Booth, James R.
author_facet Lytle, Marisa N.
Prado, Jérôme
Booth, James R.
author_sort Lytle, Marisa N.
collection PubMed
description Here we describe “Brain development of deductive reasoning” a pediatric neuroimaging dataset freely available on OpenNeuro.org. This dataset includes neuroimaging and standardized assessment data from 56 participants aged 8.47–15 years. Functional Magnetic Resonance Imaging (fMRI) data were collected while participants completed both set-inclusion and linear-order deductive reasoning tasks. A subset of participants (n=45) returned two years later for follow-up standardized assessment testing allowing for future research to investigate individual change in cognitive and academic skill. Previous research on this dataset has not examined the relation of skill and demographic measures to the neural basis of reasoning. Moreover, these studies have not examined the relation of the neural basis of reasoning to that of arithmetic or differences between children and adults in the neural basis of reasoning. Therefore, there are many opportunities to extend the research in the published reports on this data.
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spelling pubmed-75850472020-10-30 A neuroimaging dataset of deductive reasoning in school-aged children Lytle, Marisa N. Prado, Jérôme Booth, James R. Data Brief Data Article Here we describe “Brain development of deductive reasoning” a pediatric neuroimaging dataset freely available on OpenNeuro.org. This dataset includes neuroimaging and standardized assessment data from 56 participants aged 8.47–15 years. Functional Magnetic Resonance Imaging (fMRI) data were collected while participants completed both set-inclusion and linear-order deductive reasoning tasks. A subset of participants (n=45) returned two years later for follow-up standardized assessment testing allowing for future research to investigate individual change in cognitive and academic skill. Previous research on this dataset has not examined the relation of skill and demographic measures to the neural basis of reasoning. Moreover, these studies have not examined the relation of the neural basis of reasoning to that of arithmetic or differences between children and adults in the neural basis of reasoning. Therefore, there are many opportunities to extend the research in the published reports on this data. Elsevier 2020-10-14 /pmc/articles/PMC7585047/ /pubmed/33134440 http://dx.doi.org/10.1016/j.dib.2020.106405 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Lytle, Marisa N.
Prado, Jérôme
Booth, James R.
A neuroimaging dataset of deductive reasoning in school-aged children
title A neuroimaging dataset of deductive reasoning in school-aged children
title_full A neuroimaging dataset of deductive reasoning in school-aged children
title_fullStr A neuroimaging dataset of deductive reasoning in school-aged children
title_full_unstemmed A neuroimaging dataset of deductive reasoning in school-aged children
title_short A neuroimaging dataset of deductive reasoning in school-aged children
title_sort neuroimaging dataset of deductive reasoning in school-aged children
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585047/
https://www.ncbi.nlm.nih.gov/pubmed/33134440
http://dx.doi.org/10.1016/j.dib.2020.106405
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