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Longitudinal data on cortical thickness before and after working memory training
The data and supplementary information provided in this article relate to our research article “Task complexity and location specific changes of cortical thickness in executive and salience networks after working memory training” (Metzler-Baddeley et al., 2016) [1]. We provide cortical thickness and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833123/ https://www.ncbi.nlm.nih.gov/pubmed/27115029 http://dx.doi.org/10.1016/j.dib.2016.03.090 |
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author | Metzler-Baddeley, Claudia Caeyenberghs, Karen Foley, Sonya Jones, Derek K. |
author_facet | Metzler-Baddeley, Claudia Caeyenberghs, Karen Foley, Sonya Jones, Derek K. |
author_sort | Metzler-Baddeley, Claudia |
collection | PubMed |
description | The data and supplementary information provided in this article relate to our research article “Task complexity and location specific changes of cortical thickness in executive and salience networks after working memory training” (Metzler-Baddeley et al., 2016) [1]. We provide cortical thickness and subcortical volume data derived from parieto-frontal cortical regions and the basal ganglia with the FreeSurfer longitudinal analyses stream (http://surfer.nmr.mgh.harvard.edu [2]) before and after Cogmed working memory training (Cogmed and Cogmed Working Memory Training, 2012) [3]. This article also provides supplementary information to the research article, i.e., within-group comparisons between baseline and outcome cortical thickness and subcortical volume measures, between-group tests of performance changes in cognitive benchmark tests (www.cambridgebrainsciences.com [4]), correlation analyses between performance changes in benchmark tests and training-related structural changes, correlation analyses between the time spent training and structural changes, a scatterplot of the relationship between cortical thickness measures derived from the occipital lobe as control region and the chronological order of the MRI sessions to assess potential scanner drift effects and a post-hoc vertex-wise whole brain analysis with FreeSurfer Qdec (https://surfer.nmr.mgh.harvard.edu/fswiki/Qdec [5]). |
format | Online Article Text |
id | pubmed-4833123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48331232016-04-25 Longitudinal data on cortical thickness before and after working memory training Metzler-Baddeley, Claudia Caeyenberghs, Karen Foley, Sonya Jones, Derek K. Data Brief Data Article The data and supplementary information provided in this article relate to our research article “Task complexity and location specific changes of cortical thickness in executive and salience networks after working memory training” (Metzler-Baddeley et al., 2016) [1]. We provide cortical thickness and subcortical volume data derived from parieto-frontal cortical regions and the basal ganglia with the FreeSurfer longitudinal analyses stream (http://surfer.nmr.mgh.harvard.edu [2]) before and after Cogmed working memory training (Cogmed and Cogmed Working Memory Training, 2012) [3]. This article also provides supplementary information to the research article, i.e., within-group comparisons between baseline and outcome cortical thickness and subcortical volume measures, between-group tests of performance changes in cognitive benchmark tests (www.cambridgebrainsciences.com [4]), correlation analyses between performance changes in benchmark tests and training-related structural changes, correlation analyses between the time spent training and structural changes, a scatterplot of the relationship between cortical thickness measures derived from the occipital lobe as control region and the chronological order of the MRI sessions to assess potential scanner drift effects and a post-hoc vertex-wise whole brain analysis with FreeSurfer Qdec (https://surfer.nmr.mgh.harvard.edu/fswiki/Qdec [5]). Elsevier 2016-04-02 /pmc/articles/PMC4833123/ /pubmed/27115029 http://dx.doi.org/10.1016/j.dib.2016.03.090 Text en © 2016 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Metzler-Baddeley, Claudia Caeyenberghs, Karen Foley, Sonya Jones, Derek K. Longitudinal data on cortical thickness before and after working memory training |
title | Longitudinal data on cortical thickness before and after working memory training |
title_full | Longitudinal data on cortical thickness before and after working memory training |
title_fullStr | Longitudinal data on cortical thickness before and after working memory training |
title_full_unstemmed | Longitudinal data on cortical thickness before and after working memory training |
title_short | Longitudinal data on cortical thickness before and after working memory training |
title_sort | longitudinal data on cortical thickness before and after working memory training |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833123/ https://www.ncbi.nlm.nih.gov/pubmed/27115029 http://dx.doi.org/10.1016/j.dib.2016.03.090 |
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