Cognitive training enhances intrinsic brain connectivity in childhood
Open accessAbstract
In human participants, the intensive practice of particular cognitive activities can induce sustained improvements in cognitive performance, which in some cases transfer to benefits on untrained activities. Despite the growing body of research examining the behavioral effects of cognitive training in children, no studies have explored directly the neural basis of these training effects in a systematic, controlled fashion. Therefore, the impact of training on brain neurophysiology in childhood, and the mechanisms by which benefits may be achieved, are unknown. Here, we apply new methods to examine dynamic neurophysiological connectivity in the context of a randomized trial of adaptive working memory training undertaken in children. After training, connectivity between frontoparietal networks and both lateral occipital complex and inferior temporal cortex was altered. Furthermore, improvements in working memory after training were associated with increased strength of neural connectivity at rest, with the magnitude of these specific neurophysiological changes being mirrored by individual gains in untrained working memory performance.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Enhancements in cognitive performance following training are mirrored by changes in neural activity and connectivity of the brain networks serving working memory.
“Enhancements in cognitive performance following training are mirrored by changes in the neural activity and connectivity of the brain networks serving WM (Astle et al., 2015; Barnes et al., 2016; Caeyenberghs et al., 2016; Constantinidis & Klingberg, 2016; Dahlin, Neely, Larsson, Backman, & Nyberg, 2008; Kundu, Sutterer, Emrich, & Postle, 2013; Olesen, Westerberg, & Klingberg, 2004; Takeuchi & Kaw”
From Working memory training involves learning new skills (2019) · cites this paper as Astle et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388 · see citing works
Van Veen, B. D., Van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.623056 · Cited by 2,561 · see citing works
Computerized training of working memory in children with ADHD – a randomized, controlled trial
Klingberg, T., Fernell, E., Olesen, P. J., Johnson, M., Gustafsson, P., Dahlström, K., Gillberg, C. G., Forssberg, H., & Westerberg, H. (2005) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200502000-00010 · Cited by 1,949 · cited 2× · see citing works
“Cognitive training has therefore been considered of potential therapeutic benefit for the remediation of cognitive deficits associated with neurodevelopmental disorders (Klingberg et al., 2005), acquired brain damage (Westerberg et al.”
BackgroundThe multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour
Duncan, J. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.004 · Cited by 1,846 · see citing works
Video game training enhances cognitive control in older adults
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., Kong, E., Larraburo, Y., Rolle, C., Johnston, E., et al. (2013) · Nature · doi:10.1038/nature12486 · Cited by 1,666 · see citing works
Distinct patterns of brain activity in young carriers of the <i>APOE</i> -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613 · see citing works
Top-down modulation: bridging selective attention and working memory
Gazzaley, A., & Nobre, A. C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.014 · Cited by 1,404 · see citing works
High-frequency, long-range coupling between prefrontal and visual cortex during attention
Gregoriou, G. G., Gotts, S. J., Zhou, H., & Desimone, R. (2009) · Science · doi:10.1126/science.1171402 · Cited by 1,194 · see citing works
Adaptive training leads to sustained enhancement of poor working memory in children
Holmes, J., Gathercole, S. E., & Dunning, D. L. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00848.x · Cited by 961 · see citing works
Gathercole, S. E., Pickering, S. J., Knight, C. J., & Stegmann, Z. (2003) · Applied Cognitive Psychology · doi:10.1002/acp.934 · Cited by 955 · see citing works
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938 · see citing works
Self-citationSource connectivity analysis with MEG and EEG
Schoffelen, J., & Groß, J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20745 · Cited by 854 · see citing works
Temporally-independent functional modes of spontaneous brain activity
Smith, S. M., Miller, K. L., Moeller, S., Xu, J., Auerbach, E. J., Woolrich, M. W., Beckmann, C. F., Jenkinson, M., Andersson, J., Glasser, M. F., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121329109 · Cited by 702 · see citing works
Self-citationComputerized working memory training after stroke–A pilot study
Westerberg, H., Jacobaeus, H., Hirvikoski, T., Clevberger, P., Östensson, M.-L., Bartfai, A., & Klingberg, T. (2007) · Brain Injury · doi:10.1080/02699050601148726 · Cited by 439 · see citing works
The role of alpha oscillations in temporal attention
Hanslmayr, S., Groß, J., Klimesch, W., & Shapiro, K. L. (2011) · Brain Research Reviews · doi:10.1016/j.brainresrev.2011.04.002 · Cited by 404 · see citing works
van Ede, F., de Lange, F. P., Jensen, O. B., & Maris, E. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5630-10.2011 · Cited by 337 · see citing works
Rueda, M. R., Checa, P., & Cómbita, L. M. (2012) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.09.004 · Cited by 331 · see citing works
Evaluating the validity of the Automated Working Memory Assessment
Alloway, T. P., Gathercole, S. E., Kirkwood, H., & Elliott, J. (2008) · Educational Psychology · doi:10.1080/01443410802243828 · Cited by 242 · see citing works
Dunning, D. L., Holmes, J., & Gathercole, S. E. (2013) · Developmental Science · doi:10.1111/desc.12068 · Cited by 228 · see citing works
Shape-specific preparatory activity mediates attention to targets in human visual cortex
Stokes, M. G., Thompson, R., Nobre, A. C., & Duncan, J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905306106 · Cited by 191 · see citing works
MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization
Woolrich, M. W., Hunt, L. T., Groves, A. R., & Barnes, G. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.041 · Cited by 154 · see citing works
Self-citationInferring Task-related Networks Using Independent Component Analysis in Magnetoencephalography
Luckhoo, H., Hale, J. R., Stokes, M. G., Nobre, A. C., Morris, P. G., Brookes, M. J., & Woolrich, M. W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.046 · Cited by 113 · see citing works
Self-citationBias in a common EEG and MEG statistical analysis and how to avoid it
Kilner, J. M. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.03.024 · Cited by 96 · see citing works
Evidence that neurovascular coupling underlying the BOLD effect increases with age during childhood
Schmithorst, V. J., Vannest, J. J., Lee, G., Hernández-García, L., Plante, E., Rajagopal, A., & Holland, S. K. (2014) · Human Brain Mapping · doi:10.1002/hbm.22608 · Cited by 48 · see citing works
Practice effects in the developing brain: A pilot study
Jolles, D., van Buchem, M. A., Rombouts, S. A. R. B., & Crone, E. A. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.09.001 · Cited by 45 · see citing works
Top-down visual activity underlying VSTM and preparatory attention
Stokes, M. G. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.004 · Cited by 34 · see citing works
Barnes, J. J., Woolrich, M. W., Baker, K., Colclough, G. L., & Astle, D. E. (2016) · Developmental Science · doi:10.1111/desc.12297 · Cited by 32 · see citing works
Self-citationMulti-session statistics on beamformed MEG data
Luckhoo, H., Brookes, M. J., & Woolrich, M. W. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.026 · Cited by 28 · see citing works
Self-citationThe Neural Dynamics of Fronto-Parietal Networks in Childhood Revealed using Magnetoencephalography
Astle, D., Luckhoo, H., Woolrich, M., Kuo, B.-C., Nobre, A., & Scerif, G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu271 · Cited by 27 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Do “brain-training” programs work?
Simons, D. J., Boot, W. R., Charness, N., Gathercole, S. E., Chabris, C. F., Hambrick, D. Z., & Stine-Morrow, E. A. L. (2016) · Psychological Science in the Public Interest · doi:10.1177/1529100616661983 · Cited by 1,183 · see citing works
The neuroscience of working memory capacity and training
Constantinidis, C., & Klingberg, T. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.43 · Cited by 533 · see citing works
Working memory training involves learning new skills
Gathercole, S. E., Dunning, D. L., Holmes, J., & Norris, D. (2019) · Journal of Memory and Language · doi:10.1016/j.jml.2018.10.003 · Cited by 225 · see citing works
“While there have been some important recent advances in understanding the impact of training on both the structure and functioning of neural networks (Astle et al., 2015; Barnes, Woolrich, Baker, Colclough, & Astle, 2016; Caeyenberghs, Metzler-Baddeley, Foley, & Jones, 2016; Salmi, Nyberg, & Laine, 2018), the field la…”
BackgroundExecutive function deficits in congenital heart disease: why is intervention important?
Calderon, J., & Bellinger, D. C. (2015) · Cardiology in the Young · doi:10.1017/s1047951115001134 · Cited by 122 · see citing works
Dynamics of the human structural connectome underlying working memory training
Caeyenberghs, K., Metzler-Baddeley, C., Foley, S., & Jones, D. K. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1973-15.2016 · Cited by 91 · see citing works
Working memory training mostly engages general-purpose large-scale networks for learning
Salmi, J., Nyberg, L., & Laine, M. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.03.019 · Cited by 70 · see citing works
Can short-term memory be trained?
Norris, D. G., Hall, J., & Gathercole, S. E. (2019) · Memory & Cognition · doi:10.3758/s13421-019-00901-z · Cited by 31 · see citing works
Hong, J., Su, Y., Wang, J., Xu, X., Qu, W., Fan, H., Tan, Y., Wang, Z., Zhao, Y., & Tan, S. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103584 · Cited by 18 · see citing works
- Authors
- Astle, D. E., Barnes, J. J., Baker, K., Colclough, G. L., & Woolrich, M. W.
- Affiliations
- MRC Cognition and Brain Sciences Unit (GB)
- University of Cambridge (GB)
- University of Oxford (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-04-22
- Volume
- 35
- Issue
- 16
- Pages
- 6277-6283
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4405549
- OpenAlex
- W1974586186
- Cited by
- 123
- References
- 29
- Citations by year
- 2025: 6 · 2024: 8 · 2023: 4 · 2022: 10 · 2021: 11 · 2020: 13 · 2019: 21 · 2018: 14 · 2017: 12 · 2016: 18 · 2015: 6
- FWCI
- 25.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research (ACF-2007-18-019, CL-2010-14-002)
- British Academy
- Academy of Medical Sciences (AMS-SGCL5-Baker)
- University of Oxford
- Medical Research Council (MR/K005464/1)
- Engineering and Physical Sciences Research Council (1243649)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- cognitive training, working memory, children, intrinsic brain connectivity, resting-state functional connectivity, frontoparietal network, lateral occipital complex, inferior temporal cortex, neuroplasticity, transfer of training, neurophysiological changes
- MeSH terms
- Brain Mapping, Cerebral Cortex, Child, Female, Humans, Learning, Male, Memory, Short-Term, Neural Pathways, Rest, Magnetoencephalography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review