BibTex format
@article{Metzler-Baddeley:2017:10.1162/jocn_a_01127,
author = {Metzler-Baddeley, C and Foley, S and de, Santis S and Charron, C and Hampshire, A and Caeyenberghs, K and Jones, DK},
doi = {10.1162/jocn_a_01127},
journal = {Journal of Cognitive Neuroscience},
pages = {1509--1520},
title = {Dynamics of white matter plasticity underlying working memory training: multimodal evidence from diffusion MRI and relaxometry},
url = {http://dx.doi.org/10.1162/jocn_a_01127},
volume = {29},
year = {2017}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Adaptive working memory (WM) training may lead to cognitive benefits that are associated with white matter plasticity in parietofrontal networks, but the underlying mechanisms remain poorly understood. We investigated white matter microstructural changes after adaptive WM training relative to a nonadaptive comparison group. Microstructural changes were studied in the superior longitudinal fasciculus, the main parietofrontal connection, and the cingulum bundle as a comparison pathway. MRI-based metrics were the myelin water fraction and longitudinal relaxation rate R1 from multicomponent relaxometry (captured with the mcDESPOT approach) as proxy metrics of myelin, the restricted volume fraction from the composite hindered and restricted model of diffusion as an estimate of axon morphology, and fractional anisotropy and radial diffusivity from diffusion tensor imaging. PCA was used for dimensionality reduction. Adaptive training was associated with benefits in a “WM capacity” component and increases in a microstructural component (increases in R1, restricted volume fraction, fractional anisotropy, and reduced radial diffusivity) that predominantly loaded on changes in the right dorsolateral superior longitudinal fasciculus and the left parahippocampal cingulum. In contrast, nonadaptive comparison activities were associated with the opposite pattern of reductions in WM capacity and microstructure. No group differences were observed for the myelin water fraction metric suggesting that R1 was a more sensitive “myelin” index. These results demonstrate task complexity and location-specific white matter microstructural changes that are consistent with tissue alterations underlying myelination in response to training.
AU - Metzler-Baddeley,C
AU - Foley,S
AU - de,Santis S
AU - Charron,C
AU - Hampshire,A
AU - Caeyenberghs,K
AU - Jones,DK
DO - 10.1162/jocn_a_01127
EP - 1520
PY - 2017///
SN - 0898-929X
SP - 1509
TI - Dynamics of white matter plasticity underlying working memory training: multimodal evidence from diffusion MRI and relaxometry
T2 - Journal of Cognitive Neuroscience
UR - http://dx.doi.org/10.1162/jocn_a_01127
UR - http://hdl.handle.net/10044/1/49278
VL - 29
ER -
