Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training
Open accessAbstract
Working memory training (WMT) induces changes in cognitive function and various neurological systems. Here, we investigated changes in recently developed resting state functional magnetic resonance imaging measures of global information processing [degree of the cortical hub, which may have a central role in information integration in the brain, degree centrality (DC)], the magnitude of intrinsic brain activity [fractional amplitude of low frequency fluctuation (fALFF)], and local connectivity (regional homogeneity) in young adults, who either underwent WMT or received no intervention for 4 weeks. Compared with no intervention, WMT increased DC in the anatomical cluster, including anterior cingulate cortex (ACC), to the medial prefrontal cortex (mPFC). Furthermore, WMT increased fALFF in the anatomical cluster including the right dorsolateral prefrontal cortex (DLPFC), frontopolar area and mPFC. WMT increased regional homogeneity in the anatomical cluster that spread from the precuneus to posterior cingulate cortex and posterior parietal cortex. These results suggest WMT-induced plasticity in spontaneous brain activity and global and local information processing in areas of the major networks of the brain during rest.
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?
The authors of that study found increased activity in the right dorsolateral prefrontal cortex, frontopolar area, and medial prefrontal cortex.
“The authors found increased activity in the right dorsolateral prefrontal cortex, frontopolar area, and medial prefrontal cortex.”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [27]
Only one study has investigated effects of WM training on the magnitude of intrinsic neural activity at rest.
“Moreover, to the best of our knowledge, only one study has investigated effects of WM training on the magnitude of intrinsic neural activity at rest [27].”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [27]
We did not detect any changes in ALFF or glucose metabolism after WM training.
“Different from the present study, in which we did not detect any changes in ALFF or glucose metabolism after WM training, Takeuchi et al. reported increased brain activity in the dorsal prefrontal cortex following WM training [27].”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [27]
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
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
Working memory: Looking back and looking forward
Baddeley, A. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1201 · Cited by 5,200 · see citing works
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173 · see citing works
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560 · see citing works
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475 · see citing works
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780 · see citing works
Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.07.002 · Cited by 2,660 · 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 · see citing works
Is working memory training effective? A meta-analytic review
Melby-Lervåg, M., & Hulme, C. (2013) · Developmental Psychology · doi:10.1037/a0028228 · Cited by 1,782 · see citing works
Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900234106 · Cited by 1,769 · see citing works
Training and plasticity of working memory
Klingberg, T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.002 · Cited by 1,585 · see citing works
Capacity limit of visual short-term memory in human posterior parietal cortex
Todd, J. J., & Marois, R. (2004) · Nature · doi:10.1038/nature02466 · Cited by 1,477 · see citing works
The Enigmatic temporal pole: a review of findings on social and emotional processing
Olson, I. R., Plotzker, A., & Ezzyat, Y. (2007) · Brain · doi:10.1093/brain/awm052 · Cited by 1,370 · see citing works
Increased prefrontal and parietal activity after training of working memory
Olesen, P. J., Westerberg, H., & Klingberg, T. (2004) · Nature Neuroscience · doi:10.1038/nn1165 · Cited by 1,317 · see citing works
Training of Working Memory in Children With ADHD
Klingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.24.6.781.8395 · Cited by 1,225 · see citing works
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148 · see citing works
Working memory dysfunction in schizophrenia
(1994) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.6.4.348 · Cited by 1,068 · see citing works
Brain connectivity related to working memory performance
Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., & Constable, R. T. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3408-06.2006 · Cited by 853 · see citing works
Kalina Christoff, A., & Gabrieli, J. D. E. (2000) · Psychobiology · doi:10.3758/bf03331976 · Cited by 684 · see citing works
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613 · see citing works
Energetic cost of brain functional connectivity
Tomasi, D. G., Wang, G., & Volkow, N. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303346110 · Cited by 569 · see citing works
Changes in cortical dopamine D1 receptor binding associated with cognitive training
McNab, F., Varrone, A., Farde, L., Jucaite, A., Bystritsky, P., Forssberg, H., & Klingberg, T. (2009) · Science · doi:10.1126/science.1166102 · Cited by 545 · see citing works
Integration of diverse information in working memory within the frontal lobe
Prabhakaran, V., Narayanan, K., Zhao, Z., & Gabrieli, J. D. E. (2000) · Nature Neuroscience · doi:10.1038/71156 · Cited by 539 · see citing works
Hölzel, B. K., Ott, U., Hempel, H., Hackl, A., Wolf, K., Stark, R., & Vaitl, D. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.04.074 · Cited by 535 · see citing works
Training of Working Memory Impacts Structural Connectivity
Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., Yamanouchi, T., Suzuki, S., & Kawashima, R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4611-09.2010 · Cited by 531 · see citing works
Self-citationHan, Y., Wang, J., Zhao, Z., Min, B., Lu, J., Li, K., Yong He, A., & Jia, J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.059 · Cited by 442 · see citing works
Regional homogeneity changes in patients with Parkinson's disease
Wu, T., Long, X., Zang, Y., Wang, L. Y., Hallett, M., Li, K., & Chan, P. (2008) · Human Brain Mapping · doi:10.1002/hbm.20622 · Cited by 396 · see citing works
Pattern of impaired working memory during major depression
Rose, E. J., & Ebmeier, K. P. (2006) · Journal of Affective Disorders · doi:10.1016/j.jad.2005.11.003 · Cited by 315 · see citing works
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis
Casanova, R., Ryali, S., Baer, A., Laurienti, P. J., Burdette, J. H., Hayasaka, S., Flowers, L., Wood, F., & Maldjian, J. A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.011 · Cited by 302 · see citing works
Liang, X., Zou, Q., He, Y., & Yang, Y. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu316 · Cited by 261 · see citing works
Wang, Z., Yan, C., Zhao, C., Qi, Z., Zhou, W., Lu, J., Yong He, A., & Li, K. (2010) · Human Brain Mapping · doi:10.1002/hbm.21140 · Cited by 260 · see citing works
Liu, Y., Wang, K., Yu, C., Yong He, A., Zhou, Y., Liang, M., Wang, L. Y., & Jiang, T. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.027 · Cited by 249 · see citing works
Liu, H., Liu, Z., Liang, M., Hao, Y., Tan, L., Kuang, F., Yi, Y., Xu, L., & Jiang, T. (2005) · Neuroreport · doi:10.1097/01.wnr.0000195666.22714.35 · Cited by 239 · see citing works
Intrinsic resting‐state activity predicts working memory brain activation and behavioral performance
Zou, Q., Ross, T. J., Gu, H., Geng, X., Zuo, X., Hong, L. E., Gao, J., Stein, E. A., Zang, Y., & Yang, Y. (2012) · Human Brain Mapping · doi:10.1002/hbm.22136 · Cited by 212 · see citing works
Yao, Z., Wang, L., Lu, Q., Liu, H., & Teng, G. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.10.013 · Cited by 205 · see citing works
The effects of working memory training on functional brain network efficiency
Langer, N., von Bastian, C. C., Wirz, H., Oberauer, K., & Jäncke, L. (2013) · Cortex · doi:10.1016/j.cortex.2013.01.008 · Cited by 175 · see citing works
Distortion product otoacoustic emissions during the first year in term infants: A longitudinal study
Zang, Z., & Jiang, Z. D. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.10.001 · Cited by 162 · see citing works
Effects of working memory training on functional connectivity and cerebral blood flow during rest
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2013) · Cortex · doi:10.1016/j.cortex.2012.09.007 · Cited by 162 · see citing works
Self-citationAnatomical and Functional Brain Abnormalities in Drug-Naive First-Episode Schizophrenia
Ren, W., Lui, S., Deng, W., Li, F. Y., Li, M., Huang, X., Wang, Y., Li, T., Sweeney, J. A., & Gong, Q. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12091148 · Cited by 154 · see citing works
Jiang, L., Xu, T., He, Y., Hou, X., Wang, J., Cao, X., Wei, G., Yang, Z., Yong He, A., & Zuo, X. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0795-8 · Cited by 124 · see citing works
Association between resting-state functional connectivity and empathizing/systemizing
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Hashizume, H., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.031 · Cited by 95 · see citing works
Self-citationDisrupted resting-state functional connectivity in minimally treated chronic schizophrenia
Wang, X., Xia, M., Lai, Y., Dai, Z., Cao, Q., Zhang, C., Han, X., Yang, L., Yuan, Y., Zhang, Y., et al. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.03.033 · Cited by 93 · see citing works
Effects of Working Memory Training on Cognitive Functions and Neural Systems
Takeuchi, H., Taki, Y., & Kawashima, R. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.6.427 · Cited by 87 · see citing works
Self-citationZhao, L., Liu, J., Dong, X., Peng, Y., Yuan, K., Wu, F., Sun, J., Gong, Q., Qin, W., & Liang, F. (2013) · The Journal of Headache and Pain · doi:10.1186/1129-2377-14-85 · Cited by 80 · see citing works
Cao, J., Chen, J.-M., Kuang, L., Ai, M., Fang, W.-D., Gan, Y., Wang, W., Chen, X.-R., Xu, X.-M., Wang, H.-G., et al. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.10.011 · Cited by 64 · see citing works
Effects of multitasking‐training on gray matter structure and resting state neural mechanisms
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2013) · Human Brain Mapping · doi:10.1002/hbm.22427 · Cited by 60 · see citing works
Self-citationIntrinsic Brain Hub Connectivity Underlies Individual Differences in Spatial Working Memory
Liu, J., Xia, M., Dai, Z., Wang, X., Liao, X., Bi, Y., & Yong He, A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw317 · Cited by 58 · see citing works
Spontaneous neuronal activity predicts intersubject variations in executive control of attention
Xu, J., Rees, G. E., Yin, X., Song, C., Han, Y., Ge, H., Pang, Z., Xu, W., Tang, Y., Friston, K. J., et al. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.020 · Cited by 50 · see citing works
Intrinsic brain indices of verbal working memory capacity in children and adolescents
Yang, Z., Jutagir, D. R., Koyama, M. S., Craddock, R. C., Yan, C., Shehzad, Z. E., Castellanos, F. X., Martino, A. D., & Milham, M. P. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.007 · Cited by 47 · see citing works
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., Nouchi, R., Fukushima, A., & Kawashima, R. (2011) · Human Brain Mapping · doi:10.1002/hbm.21492 · Cited by 47 · see citing works
Self-citationCooper, J. C., Dunne, S., Furey, T., & O'Doherty, J. P. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2558-12.2012 · Cited by 45 · see citing works
Working memory training impacts the mean diffusivity in the dopaminergic system
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0845-2 · Cited by 35 · see citing works
Self-citationResting state signatures of domain and demand-specific working memory performance
van Dam, W. O., Decker, S. L., Durbin, J. S., Vendemia, J. M. C., & Desai, R. H. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.017 · Cited by 34 · see citing works
Lai, C., & Wu, Y. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.04.021 · Cited by 33 · see citing works
Zhang, G., Li, Y., Shen, J., Yang, Y., & Zhao, X. (2014) · Human Brain Mapping · doi:10.1002/hbm.22731 · Cited by 32 · see citing works
Zhang, X., Zhang, X.-D., Cheng, Y., et al. (2015) · Brain Research · doi:10.1016/j.brainres.2015.04.046 · Cited by 18 · see citing works
Interaction Effects of BDNF and COMT Genes on Resting-State Brain Activity and Working Memory
Chen, W., Chen, C., Xia, M., Wu, K. L., Chen, C., He, Q., Xue, G., Wang, W., Yong He, A., & Dong, Q. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00540 · Cited by 16 · see citing works
Li, Y.-C., Chen, C., & Chen, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018954 · Cited by 9 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [51]Chao-Gan, Y. & Yu-Feng, Z. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Frontiers in systems neuroscience4, article 13: 11–17 (2010). PMC2889691 20577591
Cited by
Sorted by citations
Adaptive working memory training does not produce transfer effects in cognition and neuroimaging
Ripp, I., Emch, M., Wu, Q., Lizarraga, A., Udale, R., von Bastian, C. C., Koch, K., & Yakushev, I. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02272-7 · Cited by 31 · see citing works
“Moreover, to the best of our knowledge, only one study has investigated effects of WM training on the magnitude of intrinsic neural activity at rest [27].”
BackgroundFang, P., Gao, Y., Li, Y., Li, C., Zhang, T., Wu, L., Zhu, Y., & Xie, Y. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120785 · Cited by 18 · see citing works
“…activity changes associated with cognitive training (Li et al., 2019). for example, in a study of young adults who received four weeks of WMT (Takeuchi et al., 2017), fractional ALFF (fALFF) increased in the right dorsolateral prefrontal cortex, frontopolar region, and medial prefrontal…”
Background
- Authors
- Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Makoto Miyauchi, C., Sassa, Y., & Kawashima, R.
- Affiliations
- Tohoku University (JP)
- Corresponding author
- Takeuchi, Hikaru
- ORCID
- Venue
- Scientific Reports
- Published
- 2017-05-03
- Volume
- 7
- Issue
- 1
- Pages
- 1470-1470
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5431219
- OpenAlex
- W2609765126
- Cited by
- 36
- References
- 63
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 7 · 2018: 1
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Japan Society for the Promotion of Science (23700306, 25700012, CREST)
- Core Research for Evolutional Science and Technology (KAKENHI 23700306, 25700012, 23700306)
- Research Institute of Science and Technology for Society (KAKENHI 23700306, 25700012)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- working memory training, neuroplasticity, resting-state brain activity, fractional amplitude of low-frequency fluctuations, cortical hubs, degree centrality, regional homogeneity, anterior cingulate cortex, medial prefrontal cortex, dorsolateral prefrontal cortex, posterior cingulate cortex, precuneus, posterior parietal cortex, brain networks
- MeSH terms
- Brain Mapping, Female, Gyrus Cinguli, Humans, Learning, Magnetic Resonance Imaging, Male, Memory, Short-Term, Neural Pathways, Neuronal Plasticity, Parietal Lobe, Rest, Prefrontal Cortex, Young Adult, Healthy Volunteers
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