Dynamics of the human structural connectome underlying working memory training
Journal article
Caeyenberghs, Karen, Metzler-Baddeley, Claudia, Foley, Sonya and Jones, Derek K.. (2016). Dynamics of the human structural connectome underlying working memory training. The Journal of Neuroscience. 36(14), pp. 4056-4066. https://doi.org/10.1523/JNEUROSCI.1973-15.2016
Authors | Caeyenberghs, Karen, Metzler-Baddeley, Claudia, Foley, Sonya and Jones, Derek K. |
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Abstract | Brain region-specific changes have been demonstrated with a variety of cognitive training interventions. The effect of cognitive training on brain subnetworks in humans, however, remains largely unknown, with studies limited to functional networks. Here, we used a well-established working memory training program and state-of-the art neuroimaging methods in 40 healthy adults ( 21 females, mean age 26.5 years ). Near and far-transfer training effects were assessed using computerized working memory and executive function tasks. Adaptive working memory training led to improvement on ( non )trained working memory tasks and generalization to tasks of reasoning and inhibition. Graph theoretical analysis of the structural ( white matter ) network connectivity ( “connectome” ) revealed increased global integration within a frontoparietal attention network following adaptive working memory training compared with the nonadaptive group. Furthermore, the impact on the outcome of graph theoretical analyses of different white matter metrics to infer “connection strength” was evaluated. Increased efficiency of the frontoparietal network was best captured when using connection strengths derived from MR metrics that are thought to be more sensitive to differences in myelination ( putatively indexed by the [quantitative] longitudinal relaxation rate, R1 ) than previously used diffusion MRI metrics ( fractional anisotropy or fiber-tracking recovered streamlines ). Our findings emphasize the critical role of specific microstructural markers in providing important hints toward the mechanisms underpinning training-induced plasticity that may drive working memory improvement in clinical populations. |
Keywords | cognitive control; connectome; diffusion MRI; graph analysis; memory training; structural MRI |
Year | 2016 |
Journal | The Journal of Neuroscience |
Journal citation | 36 (14), pp. 4056-4066 |
Publisher | Society for Neuroscience |
ISSN | 0270-6474 |
Digital Object Identifier (DOI) | https://doi.org/10.1523/JNEUROSCI.1973-15.2016 |
PubMed ID | 27053212 |
Scopus EID | 2-s2.0-84964066499 |
PubMed Central ID | PMC4821915 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 4056-4066 |
Funder | Wellcome Trust |
Research Foundation Flanders (FWO) | |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 06 Apr 2016 |
Publication process dates | |
Accepted | 04 Feb 2016 |
Additional information | Copyright © 2016 Caeyenberghs, Metzler-Baddeley et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License Creative CommonsAttribution 4.0 International (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
https://acuresearchbank.acu.edu.au/item/89w7x/dynamics-of-the-human-structural-connectome-underlying-working-memory-training
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Publisher's version
OA_Caeyenberghs_2016_Dynamics_of_the_human_structural_connectome.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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