Dynamics of White Matter Plasticity Underlying Working Memory Training: Multimodal Evidence from Diffusion MRI and Relaxometry
Open accessAbstract
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.
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Experience can alter white matter microstructure.
“Indeed, the growing realisation that experience can alter white matter microstructure (Metzler-Baddeley et al., 2017; (McKenzie et al., 2014) Zatorre et al., 2012) highlights the problems of separating cause from effect.”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Metzler-Baddeley et al., 2017
Two months of working memory training can cause dMRI changes in healthy young adults, including within the left parahippocampal cingulum.
“It has, for example, been shown that two months of working memory training can cause dMRI changes in healthy young adults, including within the left parahippocampal cingulum (Caeyenberghs et al., 2016; Metzler-Baddeley et al., 2017).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Metzler-Baddeley et al., 2017
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Cites
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
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“These changes were only observed for FA and RD and are likely the result of differences in fiber complexity and orientation (Jones, Knösche, & Turner, 2013).”
Self-citationComputerized training of working memory in children with ADHD – a randomized, controlled trial
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“Recently, we compared the effects of 2 months of adaptive WM training (Cogmed, 2012; Klingberg et al., 2005) with a nonadaptive comparison activity that trained the same tasks but on three item spans only.”
BackgroundIs working memory training effective? A meta-analytic review
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High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
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MethodMotor skill learning requires active central myelination
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Putting brain training to the test
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Self-citationAbout “axial” and “radial” diffusivities
Wheeler‐Kingshott, C. A. M., & Cercignani, M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21965 · Cited by 885 · see citing works
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“There is an ongoing debate in the training literature regarding the far transfer effects of WM training (Au et al., 2015; Corbett et al., 2015; Melby-Lervag & Hulme, 2016; Owen et al., 2010), which goes beyond the scope of the current article.”
BackgroundTraining of Working Memory Impacts Structural Connectivity
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The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
“Indeed, the growing realisation that experience can alter white matter microstructure (Metzler-Baddeley et al., 2017; (McKenzie et al., 2014) Zatorre et al., 2012) highlights the problems of separating cause from effect.”
BackgroundResultSelf-citationGkintoni, E., Antonopoulou, H., Sortwell, A., & Halkiopoulos, C. (2025) · Brain Sciences · doi:10.3390/brainsci15020203 · Cited by 309 · see citing works
- Authors
- Metzler-Baddeley, C., Foley, S., de Santis, S., Charron, C., Hampshire, A., Caeyenberghs, K., & Jones, D. K.
- Affiliations
- Cardiff University, Brain Research Imaging Centre (CUBRIC)
- Cardiff University (GB)
- University Miguel Hernandez, Alicante, Spain
- Imperial College London (GB)
- Australian Catholic University (AU)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2017-09-01
- Volume
- 29
- Issue
- 9
- Pages
- 1509-1520
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC5881889
- OpenAlex
- W2598782798
- Cited by
- 78
- References
- 12
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 7 · 2023: 6 · 2022: 11 · 2021: 9 · 2020: 12 · 2019: 12 · 2018: 3 · 2017: 3
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Research Bank (Australian Catholic University) (submittedVersion, cc-by)
- Deakin Research Online (Deakin University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Spiral (Imperial College London) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (096646, 096646/Z/11/Z)
- Cardiff University
- School of Psychology, Cardiff University
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- working memory training, white matter plasticity, superior longitudinal fasciculus, cingulum, myelin, longitudinal relaxation rate, fractional anisotropy, radial diffusivity, myelination, diffusion MRI, relaxometry, task complexity
- MeSH terms
- Adult, Brain, Cognition, Female, Humans, Image Processing, Computer-Assisted, Learning, Male, Memory, Short-Term, Neuropsychological Tests, Verbal Learning, Anisotropy, Diffusion Magnetic Resonance Imaging, Young Adult, White Matter
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