The DOI matches its Crossref record; 54 of the 56 references it cites were found in a registry or an index.
Training of Working Memory Impacts Structural Connectivity
Open accessAbstract
Working memory is the limited capacity storage system involved in the maintenance and manipulation of information over short periods of time. Individual capacity of working memory is associated with the integrity of white matter in the frontoparietal regions. It is unknown to what extent the integrity of white matter underlying the working memory system is plastic. Using voxel-based analysis (VBA) of fractional anisotropy (FA) measures of fiber tracts, we investigated the effect of working memory training on structural connectivity in an interventional study. The amount of working memory training correlated with increased FA in the white matter regions adjacent to the intraparietal sulcus and the anterior part of the body of the corpus callosum after training. These results showed training-induced plasticity in regions that are thought to be critical in working memory. As changes in myelination lead to FA changes in diffusion tensor imaging, a possible mechanism for the observed FA change is increased myelination after training. Observed structural changes may underlie previously reported improvement of working memory capacity, improvement of other cognitive functions, and altered functional activity following working memory training.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Results indicated training-associated changes in frontal and parietal white matter tracts [30, 33] or the corpus callosum [31].”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [33]
In the citing paper
“Similarly, only a few studies have investigated changes in structural connectivity, that is, neural tracts, following WM training [30–33].”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [33]
Citations
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
Working memory: Looking back and looking forward
Baddeley, A. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1201 · Cited by 5,200
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Improving fluid intelligence with training on working memory
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801268105 · Cited by 2,187
Neuroimaging studies of working memory:
Wager, T. D., & Smith, E. E. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.4.255 · Cited by 1,889
Topography Of Cognition: Parallel Distributed Networks In Primate Association Cortex
Goldman‐Rakic, P. S. (1988) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.11.030188.001033 · Cited by 1,658
Looking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543
Research works printed but not linked: 3
- Collignon A Maes F Delaere D Vandermeulen D Suetens P Marchal G (1995) in The proceedings of information processing in medical imaging, Automated multi-modality image registration based on information theory, eds Bizais Y Barillot C DiPaola R (Kluwer Academic, Dordrecht, The Netherlands).
- Hsu, 2007, Spatial normalization of fMRI results using study-based EPI and T1-weighted brain templates, Proc Intl Soc Magn Reson Med, 15, 1860
- Koester J (1985) in Principles of neural science, Functional consequences of passive membrane properties of the neuron, eds Kandell ER Schwartz JH (Elsevier, Amsterdam), pp 66–74.
Cited by
Sorted by citations
Items 101–200 of 531
Bickel, W. K., Quisenberry, A. J., Moody, L., & Wilson, A. G. (2015) · Clinical Psychological Science · doi:10.1177/2167702614541260 · Cited by 84
Tung, Y.-H., Lin, H.-Y., Chen, C.-L., Shang, C.-Y., Yang, L.-Y., Hsu, Y.-C., Tseng, W.-Y. I., & Gau, S. S.-F. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20070999 · Cited by 79
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
Mohades, S. G., Schuerbeek, P. V., Rosseel, Y., de Craen, P. V., Luypaert, R., & Baeken, C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117968 · Cited by 93
Memory binding and white matter integrity in familial Alzheimer’s disease
Parra, M. A., Saarimäki, H., Bastin, M. E., Londoño, A. C., Pettit, L., Lopera, F., Della Sala, S., & Abrahams, S. (2015) · Brain · doi:10.1093/brain/awv048 · Cited by 79
White matter structures associated with empathizing and systemizing in young adults
Takeuchi, H., Taki, Y., Thyreau, B., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., Nouchi, R., Fukushima, A., & Kawashima, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.004 · Cited by 79
Self-citationTakeuchi, H., Taki, Y., Hashizume, H., Asano, K., Asano, M., Sassa, Y., Yokota, S., Kotozaki, Y., Nouchi, R., & Kawashima, R. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.193 · Cited by 88
Self-citationTakeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.08.022 · Cited by 80
Self-citationBurzynska, A. Z., Nagel, I. E., Preuschhof, C., Li, S., Lindenberger, U., Bäckman, L., & Heekeren, H. R. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq293 · Cited by 77
Metzler-Baddeley, C., Foley, S., de Santis, S., Charron, C., Hampshire, A., Caeyenberghs, K., & Jones, D. K. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01127 · Cited by 78
Pedullà, L., Brichetto, G., Tacchino, A., Vassallo, C., Zaratin, P., Battaglia, M. A., Bonzano, L., & Bove, M. (2016) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-016-0193-y · Cited by 77
Cognitive Deficits in Geriatric Depression
Morimoto, S. S., & Alexopoulos, G. S. (2013) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2013.08.002 · Cited by 85
Chavan, C. F., Mouthon, M., Draganski, B., van der Zwaag, W., & Spierer, L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22789 · Cited by 86
The Benefits of Executive Control Training and the Implications for Language Processing
Hussey, E. K., & Novick, J. M. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00158 · Cited by 78
Recovery from chemotherapy-induced white matter changes in young breast cancer survivors?
Billiet, T., Emsell, L., Vandenbulcke, M., Peeters, R., Christiaens, D., Leemans, A., Van Hecke, W., Smeets, A., Amant, F., Sunaert, S., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9665-8 · Cited by 81
Jaekel, J., Baumann, N., & Dieter Wolke, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065219 · Cited by 80
An active role for neurons in glioma progression: making sense of Scherer’s structures
Gillespie, S. M., & Monje, M. (2018) · Neuro-Oncology · doi:10.1093/neuonc/noy083 · Cited by 74
Antonenko, D., Fromm, A. E., Thams, F., Grittner, U., Meinzer, M., & Flöel, A. (2023) · Nature Communications · doi:10.1038/s41467-023-38910-x · Cited by 74
Neural Plastic Effects of Cognitive Training on Aging Brain
Leung, N. T. Y., Tam, H. M. K., Chu, L., Kwok, T. C. Y., Chan, F. H. W., LAM, L. C. W., Woo, J., & Lee, T. M. C. (2015) · Neural Plasticity · doi:10.1155/2015/535618 · Cited by 78
Using Noninvasive Brain Stimulation to Accelerate Learning and Enhance Human Performance
Parasuraman, R., & McKinley, R. A. (2014) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814538815 · Cited by 78
Tacchino, A., Pedullà, L., Bonzano, L., Vassallo, C., Battaglia, M. A., Mancardi, G., Bove, M., & Brichetto, G. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4269 · Cited by 77
Cognitive enhancement: a comparative review of computerized and athletic training programs
Moreau, D., & Conway, A. R. A. (2013) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2012.758763 · Cited by 78
Costa, M.-A., Girard, M. F., Dalmay, F., & Malauzat, D. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01548.x · Cited by 73
Esslinger, C., Schüler, N., Sauer, C., Gass, D., Mier, D., Braun, U., Ochs, E., Schulze, T. G., Rietschel, M., Kirsch, P., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22165 · Cited by 70
Transfer after Dual n -Back Training Depends on Striatal Activation Change
Salminen, T., Kühn, S., Frensch, P. A., & Schubert, T. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2305-15.2016 · Cited by 70
Chung, W. W., & Hudziak, J. J. (2017) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.12.017 · Cited by 77
Foster, A. Y., Bujalka, H., & Emery, B. (2019) · Glia · doi:10.1002/glia.23629 · Cited by 65
Neuroimaging of cortical development and brain connectivity in human newborns and animal models
Lodygensky, G. A., Vasung, L., Sizonenko, S. V., & Hüppi, P. S. (2010) · Journal of Anatomy · doi:10.1111/j.1469-7580.2010.01280.x · Cited by 71
Yamada, S., Takahashi, S., Ukai, S., Tsuji, T., Iwatani, J., Tsuda, K., Kita, A., Sakamoto, Y., Yamamoto, M., Terada, M., et al. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.022 · Cited by 68
Effects of processing speed training on cognitive functions and neural systems
Takeuchi, H., & Kawashima, R. (2012) · Reviews in the Neurosciences · doi:10.1515/revneuro-2012-0035 · Cited by 67
Self-citationDiffusion Imaging of White Matter in Schizophrenia: Progress and Future Directions
Karlsgodt, K. H. (2015) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.12.001 · Cited by 71
The effect of bilingualism on brain development from early childhood to young adulthood
Pliatsikas, C., Meteyard, L., Veríssimo, J., DeLuca, V., Shattuck, K. F., & Ullman, M. T. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02115-5 · Cited by 74
Nouchi, R., & Kawashima, R. (2014) · Advances in Neuroscience · doi:10.1155/2014/235479 · Cited by 74
Self-citationTraining Cognition in ADHD: Current Findings, Borrowed Concepts, and Future Directions
Rutledge, K. J., van den Bos, W., McClure, S. M., & Schweitzer, J. B. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0134-9 · Cited by 75
Engel, A., Hijmans, B. S., Cerliani, L., Bangert, M., Nanetti, L., Keller, P. E., & Keysers, C. (2013) · Human Brain Mapping · doi:10.1002/hbm.22343 · Cited by 68
Bangirana, P., Allebeck, P., Boivin, M. J., John, C. C., Page, C., Ehnvall, A., & Musisi, S. (2011) · BMC Neurology · doi:10.1186/1471-2377-11-96 · Cited by 67
Oligodendroglia are emerging players in several forms of learning and memory
Munyeshyaka, M., & Fields, R. D. (2022) · Communications Biology · doi:10.1038/s42003-022-04116-y · Cited by 67
Neuroanatomical Phenotype of Klinefelter Syndrome in Childhood: A Voxel-Based Morphometry Study
Bryant, D. M., Hoeft, F., Lai, S., Lackey, J., Roeltgen, D. P., ROSS, J. L., & Reiss, A. L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5899-10.2011 · Cited by 66
Baker, J. M., Bruno, J. L., Gundran, A., Hosseini, S. M. H., & Reiss, A. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201486 · Cited by 67
Long-term brain effects of N-back training: an fMRI study
Miró‐Padilla, A., Bueichekú, E., Ventura‐Campos, N., Flores-Compañ, M.-J., Parcet, M. A., & Ávila, C. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9925-x · Cited by 67
Schneider, S. E., Gruart, A., Grade, S., Zhang, Y., Kröger, S., Kirchhoff, F., Gregor Eichele, C., García, J. M. D., & Dimou, L. (2016) · Glia · doi:10.1002/glia.23055 · Cited by 66
Taki, Y., Thyreau, B., Hashizume, H., Sassa, Y., Takeuchi, H., Wu, K., Kotozaki, Y., Nouchi, R., Asano, M., Asano, K., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.22027 · Cited by 65
Self-citationEschenroeder, A. C., Vestal-Laborde, A. A., Sanchez, E. S., Robinson, S. E., & Sato‐Bigbee, C. (2011) · Glia · doi:10.1002/glia.21253 · Cited by 59
Katagiri, N., Pantelis, C., Nemoto, T., Zalesky, A., Hori, M., Shimoji, K., Saito, J., Ito, S., Dwyer, D., Fukunaga, I., et al. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.01.002 · Cited by 60
Structural correlates of impaired working memory in hippocampal sclerosis
Winston, G. P., Stretton, J., Sidhu, M. K., Symms, M. R., Thompson, P. J., & Duncan, J. S. (2013) · Epilepsia · doi:10.1111/epi.12193 · Cited by 59
Differences in brain morphology and working memory capacity across childhood
Bathelt, J., Gathercole, S. E., Johnson, A., & Astle, D. E. (2017) · Developmental Science · doi:10.1111/desc.12579 · Cited by 60
Brain structure, working memory and response inhibition in childhood leukemia survivors
van der Plas, E., Schachar, R. J., Hitzler, J., Crosbie, J., Guger, S. L., Spiegler, B. J., Ito, S., & Nieman, B. J. (2017) · Brain and Behavior · doi:10.1002/brb3.621 · Cited by 59
“The asterisks mark significant differences between groups (a) (b) previously (Dahlin, Neely, Larsson, Bäckman, & Nyberg, 2008; KubatSilman, Dagenbach, & Absher, 2002; Schaefer et al., 2006; Takeuchi et al., 2010; Zou, Hong, Wang, Gao, & Yang, 2011).”
White matter microstructural development and cognitive ability in the first 2 years of life
Girault, J. B., Cornea, E. A., Goldman, B. D., Knickmeyer, R. C., Styner, M. A., & Gilmore, J. H. (2018) · Human Brain Mapping · doi:10.1002/hbm.24439 · Cited by 65
White Matter Plasticity Keeps the Brain in Tune: Axons Conduct While Glia Wrap
Chorghay, Z., Káradóttir, R. T., & Ruthazer, E. S. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00428 · Cited by 66
Peña, I. D., Pan, M. C., Thai, C. G., & Alisso, T. (2020) · Brain Sciences · doi:10.3390/brainsci10050292 · Cited by 76
Drijkoningen, D., Caeyenberghs, K., Leunissen, I., Linden, C. V., Leemans, A., Sunaert, S. G., Duysens, J., & Swinnen, S. P. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.12.006 · Cited by 59
Interventions for Cognitive Deficits in Breast Cancer Survivors Treated With Chemotherapy
Vance, D. E., Sandson, J., Bail, J. R., Triebel, K. L., Niccolai, L. M., Gerstenecker, A. T., & Meneses, K. (2016) · Cancer Nursing · doi:10.1097/ncc.0000000000000349 · Cited by 58
Caeyenberghs, K., Clemente, A., Imms, P. E., Egan, G. F., Hocking, D. R., Leemans, A., Metzler‐Baddeley, C., Jones, D. K., & Wilson, P. H. (2018) · Neurorehabilitation and neural repair · doi:10.1177/1545968317753076 · Cited by 58
Oligodendrocyte dynamics dictate cognitive performance outcomes of working memory training in mice
Shimizu, T., Nayar, S. G., Swire, M., Jiang, Y., Grist, M., Kaller, M. S., Sampaio‐Baptista, C., Bannerman, D. M., Johansen‐Berg, H., Ogasawara, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42293-4 · Cited by 59
Jann, K., Federspiel, A., Giezendanner, S., Andreotti, J., Kottlow, M., Dierks, T., & Koenig, T. W. (2012) · Brain Connectivity · doi:10.1089/brain.2011.0063 · Cited by 59
Lu, H., Song, Y., Xu, M., Wang, X., Li, X., & Liu, J. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.04.051 · Cited by 62
Colzato, L. S., van den Wildenberg, W. P. M., & Hommel, B. (2013) · Psychological Research · doi:10.1007/s00426-013-0514-8 · Cited by 57
Ekman, M., Fiebach, C. J., Melzer, C., Tittgemeyer, M., & Derrfuß, J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1376-14.2016 · Cited by 62
Li, X., Xiao, Y.-H., Zhao, Q., Leung, A. W. S., Cheung, E. F. C., & Chan, R. C. K. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.029 · Cited by 55
Mechanisms of white matter change induced by meditation training
Posner, M. I., Tang, Y., & LYNCH, G. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01220 · Cited by 56
Mind over matter – what do we know about neuroplasticity in adults?
Valkanova, V., Rodriguez, R. E., & Ebmeier, K. P. (2014) · International Psychogeriatrics · doi:10.1017/s1041610213002482 · Cited by 60
White matter microstructure correlates of inhibition and task-switching in adolescents
Seghete, K. L. M., Herting, M. M., & Nagel, B. J. (2013) · Brain Research · doi:10.1016/j.brainres.2013.06.003 · Cited by 57
Metabolic injury to axons and myelin
Tsutsui, S., & Stys, P. K. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2012.04.016 · Cited by 54
Differential brain shrinkage over 6 months shows limited association with cognitive practice
Raz, N., Schmiedek, F., Rodrigue, K. M., Kennedy, K. M., Lindenberger, U., & Lövdén, M. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.04.002 · Cited by 56
Yamashita, M., Kawato, M., & Imamizu, H. (2015) · Scientific Reports · doi:10.1038/srep07622 · Cited by 53
Methylation polymorphism influences practice effects in children during attention tasks
Voelker, P., Sheese, B. E., Rothbart, M. K., & Posner, M. I. (2016) · Cognitive Neuroscience · doi:10.1080/17588928.2016.1170006 · Cited by 55
Sumiyoshi, A., Taki, Y., Nonaka, H., Takeuchi, H., & Kawashima, R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.075 · Cited by 55
Self-citationLead exposure is associated with functional and microstructural changes in the healthy human brain
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02435-0 · Cited by 57
Self-citationReduced Functional Connectivity during Working Memory in Turner Syndrome
Bray, S., Dunkin, B., Hong, D. S., & Reiss, A. L. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr017 · Cited by 54
Miotto, E. C., Savage, C. R., Evans, J. J., Wilson, B. A., Martin, M. D. G. M., Balardin, J. B., Barros, F. G., Garrido, G. J., Teixeira, M. J., & Amaro, E. (2012) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2012.05.024 · Cited by 50
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 50
Self-citationA neural trait approach to exploring individual differences in social preferences
Nash, K. A., Gianotti, L. R. R., & Knoch, D. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00458 · Cited by 46
Altered Structural Brain Networks in Tuberous Sclerosis Complex
Im, K., Ahtam, B., Haehn, D., Peters, J. M., Warfield, S. K., Şahin, M., & Grant, P. E. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv026 · Cited by 47
The future of functionally-related structural change assessment
Johansen-Berg, H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.073 · Cited by 45
Kennedy, K. M., & Raz, N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00068-3 · Cited by 48
Jensen, S. K., & Yong, V. W. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.04.003 · Cited by 47
Pascoe, L., Roberts, G., Doyle, L. W., Lee, K. J., Thompson, D. K., Seal, M. L., Josev, E. K., Nosarti, C., Gathercole, S. E., & Anderson, P. J. (2013) · BMC Pediatrics · doi:10.1186/1471-2431-13-144 · Cited by 49
Tau in Oligodendrocytes Takes Neurons in Sickness and in Health
LoPresti, P. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19082408 · Cited by 44
Takeuchi, H., Taki, Y., Sekiguchi, A., Hashizume, H., Nouchi, R., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22739 · Cited by 44
Self-citationIidaka, T., Miyakoshi, M., Harada, T., & Nakai, T. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.01.029 · Cited by 41
Mental Exercises for Cognitive Function: Clinical Evidence
Kawashima, R. (2013) · Journal of Preventive Medicine and Public Health · doi:10.3961/jpmph.2013.46.s.s22 · Cited by 41
Self-citationPappa, K., Biswas, V., Flegal, K. E., Evans, J. J., & Baylan, S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.027 · Cited by 46
Working memory training improves emotional states of healthy individuals
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00200 · Cited by 49
Self-citationBaker, J. M., Bruno, J. L., Gundran, A., Hosseini, S. M. H., & Reiss, A. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203233 · Cited by 43
Liu, Z., Glizer, D., Tannock, R., & Woltering, S. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.10.032 · Cited by 44
Increased integrity of white matter pathways after dual n-back training
Salminen, T., Mårtensson, J., Schubert, T., & Kühn, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.028 · Cited by 43
Individual Differences in White Matter Microstructure in the Healthy Brain
Scholz, J., Tomassini, V., & Johansen‐Berg, H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00014-7 · Cited by 45
Barnes, J. J., Nobre, A. C., Woolrich, M. W., Baker, K., & Astle, D. E. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0101-16.2016 · Cited by 42
Papoutsi, M., Weiskopf, N., Langbehn, D. R., Reilmann, R., Rees, G. E., & Tabrizi, S. J. (2017) · Human Brain Mapping · doi:10.1002/hbm.23921 · Cited by 41
Weber, E. M. G., Hahn, T., Hilger, K., & Fiebach, C. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.006 · Cited by 44
Koch, K., Wagner, G., Schachtzabel, C., Schultz, C. C., Güllmar, D., Reichenbach, J. R., Sauer, H., Zimmer, C., & Schlösser, R. G. M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22284 · Cited by 42
Mechanism of Integrative Body-Mind Training
Tang, Y. (2011) · Neuroscience Bulletin · doi:10.1007/s12264-011-1141-2 · Cited by 44
White Matter Microstructural Changes Following Quadrato Motor Training: A Longitudinal Study
Piervincenzi, C., Ben‐Soussan, T. D., Mauro, F., Mallio, C. A., Errante, Y., Quattrocchi, C. C., & Carducci, F. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00590 · Cited by 40
Liddle, P. F. (2019) · The Canadian Journal of Psychiatry · doi:10.1177/0706743719870515 · Cited by 42
Myelin Plasticity and Repair: Neuro-Glial Choir Sets the Tuning
Ronzano, R., Thétiot, M., Lubetzki, C., & Desmazières, A. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00042 · Cited by 42
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Makoto Miyauchi, C., Sassa, Y., & Kawashima, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-01460-6 · Cited by 36
Self-citationNozawa, T., Taki, Y., Kanno, A., Akimoto, Y., Ihara, M., Yokoyama, R., Kotozaki, Y., Nouchi, R., Sekiguchi, A., Takeuchi, H., et al. (2015) · Behavioural Neurology · doi:10.1155/2015/525901 · Cited by 43
Self-citationAbnormalities of middle longitudinal fascicle and disorganization in patients with schizophrenia
Asami, T., Saito, Y., Whitford, T. J., Makris, N., Niznikiewicz, M. A., McCarley, R. W., Shenton, M. E., & Kubicki, M. R. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2012.11.030 · Cited by 40
Changes in Callosal Motor Fiber Integrity after Subcortical Stroke of the Pyramidal Tract
Radlinska, B. A., Blunk, Y., Leppert, I. R., Minuk, J., Pike, G. B., & Thiel, A. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.37 · Cited by 38
Does working memory improvement benefit from sleep in older adults?
Sattari, N. S., Whitehurst, L. N., Ahmadi, M., & Mednick, S. C. (2019) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2019.01.001 · Cited by 40
Metadata
- Authors
- Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., Yamanouchi, T., Suzuki, S., & Kawashima, R.
- Affiliations
- Tohoku University (JP)
- Tohoku Medical Megabank Organization (JP)
- Institute of Development, Aging and Cancer, Tohoku University (JP)
- Japan Society for the Promotion of Science (JP)
- Sendai University (JP)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-03-03
- Volume
- 30
- Issue
- 9
- Pages
- 3297-3303
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6634113
- OpenAlex
- W2052758289
- Cited by
- 531
- References
- 56
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 16 · 2023: 26 · 2022: 22 · 2021: 31 · 2020: 34 · 2019: 24 · 2018: 29 · 2017: 36 · 2016: 48 · 2015: 44 · 2014: 49 · 2013: 51 · 2012: 46
- FWCI
- 60.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- working memory training, structural connectivity, white matter integrity, fractional anisotropy, neuroplasticity, intraparietal sulcus, corpus callosum, myelination, diffusion tensor imaging, voxel-based analysis
- MeSH terms
- Adolescent, Brain Mapping, Cerebral Cortex, Corpus Callosum, Female, Humans, Image Processing, Computer-Assisted, Learning, Male, Memory, Short-Term, Nerve Fibers, Myelinated, Neural Pathways, Neuronal Plasticity, Neuropsychological Tests, Parietal Lobe, Teaching, Anisotropy, Diffusion Magnetic Resonance Imaging, Young Adult
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
