Abstract

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]).

Highlights

  • 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]

  • Cortical thickness and acquired subcortical volumes derived with FreeSurfer

  • Longitudinal randomized controlled intervention study comparing the effects of features adaptive working memory training relative to non-adaptive control activities (n 1⁄4 20 healthy adults per group) on cognition and Magnetic Resonance Imaging (MRI) derived cortical thickness indices in cognitive control networks

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Summary

Data Article

Longitudinal data on cortical thickness before and after working memory training Claudia Metzler-Baddeley a,n, Karen Caeyenberghs b, Sonya Foley a, Derek K. 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]. C. Metzler-Baddeley et al / Data in Brief 7 (2016) 1143–1147 brain analysis with FreeSurfer Qdec (https://surfer.nmr.mgh.har vard.edu/fswiki/Qdec [5]).

Longitudinal randomized controlled intervention study factors
Value of the data
Average active time per training session
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