Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Metzler-Baddeley, Claudia

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Cardiff University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Differences in white matter detected by ex vivo 9.4T MRI are associated with axonal changes in the R6/1 model of Huntington's Disease1citations
  • 2022Mutation-related magnetization-transfer, not axon density, drives white matter differences in premanifest Huntington disease8citations
  • 2020Drumming Motor Sequence Training Induces Apparent Myelin Remodelling in Huntington's Disease16citations
  • 2017Dynamics of white matter plasticity underlying working memory training: Multi-modal evidence from diffusion MRI and relaxometry68citations

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Parker, Greg D.
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Lelos, Mariah
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Dion, Vincent
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Casella, Chiara
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Rosser, Anne E.
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Mills-Smith, Bella
1 / 1 shared
Ruhland, Christopher Von
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Jones, Derek K.
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Syed, Yasir Ahmed
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Murillo, Alvaro
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Kelly, Brendan
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Chamberland, Maxime
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Coulthard, Elizabeth
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Rosser, Anne
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Caeyenberghs, Karen
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De Santis, Silvia
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Foley, Sonya
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Jones, Derek
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Hampshire, Adam
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Charron, Cyril
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Co-Authors (by relevance)

  • Parker, Greg D.
  • Lelos, Mariah
  • Dion, Vincent
  • Casella, Chiara
  • Rosser, Anne E.
  • Mills-Smith, Bella
  • Ruhland, Christopher Von
  • Jones, Derek K.
  • Syed, Yasir Ahmed
  • Murillo, Alvaro
  • Kelly, Brendan
  • Chamberland, Maxime
  • Coulthard, Elizabeth
  • Rickards, Hugh
  • Berry, Samuel C.
  • Laguna, Pedro L.
  • Bourbon-Teles, Jose
  • Bells, Sonya
  • Rosser, Anne
  • Caeyenberghs, Karen
  • De Santis, Silvia
  • Foley, Sonya
  • Jones, Derek
  • Hampshire, Adam
  • Charron, Cyril
OrganizationsLocationPeople

article

Dynamics of white matter plasticity underlying working memory training: Multi-modal evidence from diffusion MRI and relaxometry

  • Metzler-Baddeley, Claudia
  • Caeyenberghs, Karen
  • De Santis, Silvia
  • Foley, Sonya
  • Jones, Derek
  • Hampshire, Adam
  • Charron, Cyril
Abstract

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. MRIbased metrics were the myelin water fraction and longitudinal relaxation rate R1 from multicomponent T2 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 whitemattermicrostructural changes that are consistent with tissue alterations underlying myelination in response to training.

Topics
  • microstructure
  • morphology
  • composite
  • plasticity
  • diffusivity