Abstract
The prospect of enhancing cognition through behavioural training interventions, for example, the repetitive practice of cognitive tasks or metacognitive strategy instruction, has seen a surge in popularity over the past 20 years. Although overwhelming evidence demonstrates that such training interventions increase performance in the trained tasks, controversy remains over whether these benefits transfer to other tasks and abilities beyond the trained context. In this Review, we provide an overview of the effectiveness of cognitive training to induce transfer to untrained tasks, with a particular focus on the theoretical mechanisms that have been proposed to underlie training and transfer effects. We highlight that there is relatively little evidence that training enhances cognitive capacity, that is, the overall cognitive resources available to an individual. By contrast, substantial evidence supports training-induced improvements in cognitive efficiency, that is, optimized performance within existing cognitive capacity limits. We conclude that shifting research towards identifying the cognitive mechanisms underlying gains in cognitive efficiency offers a fruitful avenue for developing effective cognitive training interventions. However, to advance our understanding of human cognition and cognitive plasticity we must strive to develop and refine theories that generate testable hypotheses.
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References
Lövdén, M., Bäckman, L., Lindenberger, U., Schaefer, S. & Schmiedek, F. A theoretical framework for the study of adult cognitive plasticity. Psychol. Bull. 136, 659–676 (2010).
Kühn, S. & Lindenberger, U. in Handbook of the Psychology of Aging 8th edn (eds Schaie, K. W. & Willis, S. L.) 105–123 (Academic, 2016).
Lindenberger, U. & Lövdén, M. Brain plasticity in human lifespan development: the exploration–selection–refinement model. Annu. Rev. Dev. Psychol. 1, 197–222 (2019).
Baltes, P. B. & Baltes, M. M. in Successful Aging: Perspectives from the Behavioral Sciences (eds Baltes, P. B. & Baltes, M. M.) 1–34 (Cambridge Univ. Press, 1990).
Martinussen, R., Hayden, J., Hogg-Johnson, S. & Tannock, R. A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. J. Am. Acad. Child. Adolesc. Psychiatry 44, 377–384 (2005).
Demetriou, E. A. et al. Autism spectrum disorders: a meta-analysis of executive function. Mol. Psychiatry 23, 1198–1204 (2018).
Arvanitakis, Z., Shah, R. C. & Bennett, D. A. Diagnosis and management of dementia: review. JAMA 322, 1589–1599 (2019).
Lugtmeijer, S., Lammers, N. A., de Haan, E. H. F., de Leeuw, F.-E. & Kessels, R. P. C. Post-stroke working memory dysfunction: a meta-analysis and systematic review. Neuropsychol. Rev. 31, 202–219 (2021).
Hommel, B. Pseudo-mechanistic explanations in psychology and cognitive neuroscience. Top. Cogn. Sci. 12, 1294–1305 (2020).
Simons, D. J. et al. Do “brain-training” programs work? Psychol. Sci. Public. Interest. 17, 103–186 (2016).
Sala, G. et al. Near and far transfer in cognitive training: a second-order meta-analysis. Collabra: Psychol. 5, 18 (2019).
Sala, G. & Gobet, F. Cognitive training does not enhance general cognition. Trends Cogn. Sci. 23, 9–20 (2019).
Borella, E., Carretti, B., Riboldi, F. & De Beni, R. Working memory training in older adults: evidence of transfer and maintenance effects. Psychol. Aging 25, 767–778 (2010).
Schmiedek, F., Lövdén, M. & Lindenberger, U. Hundred days of cognitive training enhance broad cognitive abilities in adulthood: findings from the COGITO study. Front. Aging Neurosci. 2, 27 (2010).
Barnett, S. M. & Ceci, S. J. When and where do we apply what we learn? A taxonomy for far transfer. Psychol. Bull. 128, 612–637 (2002).
Noack, H., Lövdén, M., Schmiedek, F. & Lindenberger, U. Cognitive plasticity in adulthood and old age: gauging the generality of cognitive intervention effects. Restor. Neurol. Neurosci. 27, 435–453 (2009).
Foroughi, C. K., Monfort, S. S., Paczynski, M., McKnight, P. E. & Greenwood, P. M. Placebo effects in cognitive training. Proc. Natl Acad. Sci. USA 113, 7470 (2016).
Boot, W. R., Simons, D. J., Stothart, C. & Stutts, C. The pervasive problem with placebos in psychology: why active control groups are not sufficient to rule out placebo effects. Perspect. Psychol. Sci. 8, 445–454 (2013).
von Bastian, C. C. & Oberauer, K. Effects and mechanisms of working memory training: a review. Psychol. Res. 78, 803–820 (2014).
Green, C. S. et al. Improving methodological standards in behavioral interventions for cognitive enhancement. J. Cogn. Enhanc. 3, 2–29 (2019).
Green, C. S., Strobach, T. & Schubert, T. On methodological standards in training and transfer experiments. Psychol. Res. 78, 756–772 (2014).
Dahlin, E., Neely, A. S., Larsson, A., Bäckman, L. & Nyberg, L. Transfer of learning after updating training mediated by the striatum. Science 320, 1510–1512 (2008).
Anguera, J. A. et al. Video game training enhances cognitive control in older adults. Nature 501, 97–101 (2013).
Rebok, G. W. et al. Ten-year effects of the Advanced Cognitive Training for Independent and Vital Elderly cognitive training trial on cognition and everyday functioning in older adults. J. Am. Geriatr. Soc. 62, 16–24 (2014).
Motter, J. N., Grinberg, A., Lieberman, D. H., Iqnaibi, W. B. & Sneed, J. R. Computerized cognitive training in young adults with depressive symptoms: effects on mood, cognition, and everyday functioning. J. Affect. Disord. 245, 28–37 (2019).
Shipstead, Z., Redick, T. S. & Engle, R. W. Is working memory training effective? Psychol. Bull. 138, 628–654 (2012).
Hicks, K. & Engle, R. W. in Cognitive and Working Memory Training: Perspectives from Psychology, Neuroscience, and Human Development (eds Bunting, M. F., Novick, J. M., Dougherty, M. R., & Engle, R. W.) 3–13 (Oxford Univ. Press, 2019).
Miyake, A. et al. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn. Psychol. 41, 49–100 (2000).
von Bastian, C. C., Guye, S. & De Simoni, C. in Cognitive and Working Memory Training: Perspectives from Psychology, Neuroscience, and Human Development (eds Bunting, M. F., Novick, J. M., Dougherty, M. R., & Engle, R. W.) 58–78 (Oxford Univ. Press, 2020).
Lampit, A., Hallock, H. & Valenzuela, M. Computerized cognitive training in cognitively healthy older adults: a systematic review and meta-analysis of effect modifiers. PLoS Med. 11, e1001756 (2014).
Melby-Lervåg, M., Redick, T. S. & Hulme, C. Working memory training does not improve performance on measures of intelligence or other measures of “far transfer”: evidence from a meta-analytic review. Perspect. Psychol. Sci. 11, 512–534 (2016).
Hartgerink, C. H. J., Wicherts, J. M. & van Assen, M. A. L. M. Too good to be false: nonsignificant results revisited. Collabra: Psychol. 3, 9 (2017).
Button, K. S. et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat. Rev. Neurosci. 14, 365–376 (2013).
Ioannidis, J. P. A. Why most published research findings are false. PLoS Med. 2, e124 (2005).
Halsey, L. G., Curran-Everett, D., Vowler, S. L. & Drummond, G. B. The fickle P value generates irreproducible results. Nat. Methods 12, 179–185 (2015).
Valentine, J. C. in The Handbook of Research Synthesis and Meta-Analysis (eds Cooper, H., Hedges, L. V., & Valentine, J. C.) (Russell Sage Foundation, 2009).
Gathercole, S. E., Dunning, D. L., Holmes, J. & Norris, D. Working memory training involves learning new skills. J. Mem. Lang. 105, 19–42 (2019).
Guye, S., De Simoni, C. & von Bastian, C. C. Do individual differences predict change in cognitive training performance? A latent growth curve modeling approach. J. Cogn. Enhanc. 1, 374–393 (2017).
Wiemers, E. A., Redick, T. S. & Morrison, A. B. The influence of individual differences in cognitive ability on working memory training gains. J. Cogn. Enhanc. 3, 174–185 (2019).
Bürki, C. N., Ludwig, C., Chicherio, C. & de Ribaupierre, A. Individual differences in cognitive plasticity: an investigation of training curves in younger and older adults. Psychol. Res. 78, 821–835 (2014).
Karbach, J., Könen, T. & Spengler, M. Who benefits the most? Individual differences in the transfer of executive control training across the lifespan. J. Cogn. Enhanc. 1, 394–405 (2017).
Hering, A., Meuleman, B., Bürki, C., Borella, E. & Kliegel, M. Improving older adults’ working memory: the influence of age and crystallized intelligence on training outcomes. J. Cogn. Enhanc. 1, 358–373 (2017).
Blacker, K. J., Negoita, S., Ewen, J. B. & Courtney, S. M. N-back versus complex span working memory training. J. Cogn. Enhanc. 1, 434–454 (2017).
von Bastian, C. C. & Eschen, A. Does working memory training have to be adaptive? Psychol. Res. 80, 181–194 (2016).
Park, D. C. & Bischof, G. N. The aging mind: neuroplasticity in response to cognitive training. Dialogues Clin. Neurosci. 15, 109–119 (2013).
ten Brinke, L. F., Davis, J. C., Barha, C. K. & Liu-Ambrose, T. Effects of computerized cognitive training on neuroimaging outcomes in older adults: a systematic review. BMC Geriatr. 17, 139 (2017).
Brehmer, Y. et al. Neural correlates of training-related working-memory gains in old age. Neuroimage 58, 1110–1120 (2011).
Thorndike, E. L. & Woodworth, R. S. The influence of improvement in one mental function upon the efficiency of other functions. Psychol. Rev. 8, 247–261 (1901).
Taatgen, N. A. The nature and transfer of cognitive skills. Psychol. Rev. 120, 439–471 (2013).
Carroll, J. B. Human Cognitive Abilities: A Survey of Factor-Analytic Studies (Cambridge Univ. Press, 1993).
Zimmermann, K., von Bastian, C. C., Röcke, C., Martin, M. & Eschen, A. Transfer after process-based object-location memory training in healthy older adults. Psychol. Aging 31, 798–814 (2016).
Garlick, D. Understanding the nature of the general factor of intelligence: the role of individual differences in neural plasticity as an explanatory mechanism. Psychol. Rev. 109, 116–136 (2002).
De Simoni, C. & von Bastian, C. C. Working memory updating and binding training: Bayesian evidence supporting the absence of transfer. J. Exp. Psychol. Gen. 147, 829–858 (2018).
Meiran, N., Dreisbach, G. & von Bastian, C. C. Mechanisms of working memory training: insights from individual differences. Intelligence 73, 78–87 (2019).
Chein, J. M. & Schneider, W. The brain’s learning and control architecture. Curr. Dir. Psychol. Sci. 21, 78–84 (2012).
Taatgen, N. A. in Cognitive training: An Overview of Features and Applications (eds Strobach, T. & Karbach, J.) 41–54 (Springer, 2021).
Edwards, J. D., Fausto, B. A., Tetlow, A. M., Corona, R. T. & Valdés, E. G. Systematic review and meta-analyses of useful field of view cognitive training. Neurosci. Biobehav. Rev. 84, 72–91 (2018).
Cásedas, L., Pirrucio, V., Vadillo, M. A. & Lupiáñez, J. Does mindfulness meditation training enhance executive control? A systematic review and meta-analysis of randomized controlled trials in adults. Mindfulness 11, 411–424 (2020).
Verhaeghen, P. Mindfulness as attention training: meta-analyses on the links between attention performance and mindfulness interventions, long-term meditation practice, and trait mindfulness. Mindfulness 12, 564–581 (2021).
Gill, L.-N., Renault, R., Campbell, E., Rainville, P. & Khoury, B. Mindfulness induction and cognition: a systematic review and meta-analysis. Conscious. Cogn. 84, 102991 (2020).
Green, C. S. & Bavelier, D. Action video game training for cognitive enhancement. Curr. Opin. Behav. Sci. 4, 103–108 (2015).
Bediou, B. et al. Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills. Psychol. Bull. 144, 77–110 (2018).
Ball, K. & Owsley, C. The useful field of view test: a new technique for evaluating age-related declines in visual function. J. Am. Optom. Assoc. 64, 71–79 (1993).
Wood, J. M. & Owsley, C. Useful field of view test. Gerontology 60, 315–318 (2014).
Benikos, N., Johnstone, S. J. & Roodenrys, S. J. Short-term training in the go/nogo task: behavioural and neural changes depend on task demands. Int. J. Psychophysiol. 87, 301–312 (2013).
Zhao, X., Chen, L. & Maes, J. H. R. Training and transfer effects of response inhibition training in children and adults. Dev. Sci. 21, e12511 (2018).
Hartmann, L., Sallard, E. & Spierer, L. Enhancing frontal top-down inhibitory control with go/nogo training. Brain Struct. Funct. 221, 3835–3842 (2016).
Maraver, M. J., Bajo, M. T. & Gomez-Ariza, C. J. Training on working memory and inhibitory control in young adults. Front. Hum. Neurosci. 10, 588 (2016).
Berkman, E. T., Kahn, L. E. & Merchant, J. S. Training-induced changes in inhibitory control network activity. J. Neurosci. 34, 149 (2014).
Strobach, T., Salminen, T., Karbach, J. & Schubert, T. Practice-related optimization and transfer of executive functions: a general review and a specific realization of their mechanisms in dual tasks. Psychol. Res. 78, 836–851 (2014).
Allom, V., Mullan, B. & Hagger, M. Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychol. Rev. 10, 168–186 (2016).
Jones, A., Tiplady, B., Houben, K., Nederkoorn, C. & Field, M. Do daily fluctuations in inhibitory control predict alcohol consumption? An ecological momentary assessment study. Psychopharmacology 235, 1487–1496 (2018).
Houben, K. & Jansen, A. Training inhibitory control. A recipe for resisting sweet temptations. Appetite 56, 345–349 (2011).
Strobach, T. & Schubert, T. in Cognitive Training (eds Strobach, T. & Karbach, J.) 229–241 (Springer, 2021).
Sala, G., Tatlidil, K. S. & Gobet, F. Video game training does not enhance cognitive ability: a comprehensive meta-analytic investigation. Psychol. Bull. 144, 111–139 (2018).
Hilgard, J., Sala, G., Boot, W. R. & Simons, D. J. Overestimation of action-game training effects: publication bias and salami slicing. Collabra: Psychol. 5, 30 (2019).
Bavelier, D., Green, C. S., Pouget, A. & Schrater, P. Brain plasticity through the life span: learning to learn and action video games. Annu. Rev. Neurosci. 35, 391–416 (2012).
Kattner, F., Cochrane, A., Cox, C. R., Gorman, T. E. & Green, C. S. Perceptual learning generalization from sequential perceptual training as a change in learning rate. Curr. Biol. 27, 840–846 (2017).
Kemp, C., Goodman, N. D. & Tenenbaum, J. B. Learning to learn causal models. Cogn. Sci. 34, 1185–1243 (2010).
Barrett, L. F., Tugade, M. M. & Engle, R. W. Individual differences in working memory capacity and dual-process theories of the mind. Psychol. Bull. 130, 553–573 (2004).
Klingberg, T. Training and plasticity of working memory. Trends Cogn. Sci. 14, 317–324 (2010).
Jaeggi, S. M., Buschkuehl, M., Jonides, J. & Perrig, W. J. Improving fluid intelligence with training on working memory. Proc. Natl Acad. Sci. USA 105, 6829 (2008).
Klingberg, T. et al. Computerized training of working memory in children with ADHD — a randomized, controlled trial. J. Am. Acad. Child. Adolesc. Psychiatry 44, 177–186 (2005).
Redick, T. S. et al. No evidence of intelligence improvement after working memory training: a randomized, placebo-controlled study. J. Exp. Psychol. Gen. 142, 359 (2013).
Chein, J. M. & Morrison, A. B. Expanding the mind’s workspace: training and transfer effects with a complex working memory span task. Psychon. Bull. Rev. 17, 193–199 (2010).
Guye, S. & von Bastian, C. C. Working memory training in older adults: Bayesian evidence supporting the absence of transfer. Psychol. Aging 32, 732–746 (2017).
Sprenger, A. M. et al. Training working memory: limits of transfer. Intelligence 41, 638–663 (2013).
Au, J. et al. Improving fluid intelligence with training on working memory: a meta-analysis. Psychon. Bull. Rev. 22, 366–377 (2015).
Karbach, J. & Verhaeghen, P. Making working memory work: a meta-analysis of executive-control and working memory training in older adults. Psychol. Sci. 25, 2027–2037 (2014).
Schwaighofer, M., Fischer, F. & Bühner, M. Does working memory training transfer? A meta-analysis including training conditions as moderators. Educ. Psychol. 50, 138–166 (2015).
Soveri, A., Antfolk, J., Karlsson, L., Salo, B. & Laine, M. Working memory training revisited: a multi-level meta-analysis of n-back training studies. Psychon. Bull. Rev. 24, 1077–1096 (2017).
Sala, G. & Gobet, F. Working memory training in typically developing children: a multilevel meta-analysis. Psychon. Bull. Rev. 27, 423–434 (2020).
Sala, G., Aksayli, N. D., Tatlidil, K. S., Gondo, Y. & Gobet, F. Working memory training does not enhance older adults’ cognitive skills: a comprehensive meta-analysis. Intelligence 77, 101386 (2019).
Langer, N., von Bastian, C. C., Wirz, H., Oberauer, K. & Jäncke, L. The effects of working memory training on functional brain network efficiency. Cortex 49, 2424–2438 (2013).
Dziemian, S., Appenzeller, S., von Bastian, C. C., Jäncke, L. & Langer, N. Working memory training effects on white matter integrity in young and older adults. Front. Hum. Neurosci. 15, 605213 (2021).
Lawlor-Savage, L., Clark, C. M. & Goghari, V. M. No evidence that working memory training alters gray matter structure: a MRI surface-based analysis. Behav. Brain Res. 360, 323–340 (2019).
Laine, M., Fellman, D., Waris, O. & Nyman, T. J. The early effects of external and internal strategies on working memory updating training. Sci. Rep. 8, 4045 (2018).
Dunning, D. L. & Holmes, J. Does working memory training promote the use of strategies on untrained working memory tasks? Mem. Cognit. 42, 854–862 (2014).
Chase, W. G. & Ericsson, K. A. in Cognitive Skills and Their Acquisition (ed. Anderson, J. R.) 141–189 (Erlbaum, 1981).
Redick, T. S., Wiemers, E. A. & Engle, R. W. The role of proactive interference in working memory training and transfer. Psychol. Res. 84, 1635–1654 (2020).
Zerr, P. et al. The development of retro-cue benefits with extensive practice: implications for capacity estimation and attentional states in visual working memory. Mem. Cognit. 49, 1036–1049 (2021).
Brady, T. F., Konkle, T. & Alvarez, G. A. Compression in visual working memory: using statistical regularities to form more efficient memory representations. J. Exp. Psychol. Gen. 138, 487–502 (2009).
Verhaeghen, P., Marcoen, A. & Goossens, L. Improving memory performance in the aged through mnemonic training: a meta-analytic study. Psychol. Aging 7, 242–251 (1992).
Ball, K. et al. Effects of cognitive training interventions with older adults: a randomized controlled trial. JAMA 288, 2271–2281 (2002).
Belleville, S. et al. Improvement of episodic memory in persons with mild cognitive impairment and healthy older adults: evidence from a cognitive intervention program. Dement. Geriatr. Cogn. Disord. 22, 486–499 (2006).
Belleville, S. et al. MEMO+: efficacy, durability and effect of cognitive training and psychosocial intervention in individuals with mild cognitive impairment. J. Am. Geriatr. Soc. 66, 655–663 (2018).
Hampstead, B. M., Stringer, A. Y., Stilla, R. F., Giddens, M. & Sathian, K. Mnemonic strategy training partially restores hippocampal activity in patients with mild cognitive impairment. Hippocampus 22, 1652–1658 (2012).
Chandler, M. J., Parks, A. C., Marsiske, M., Rotblatt, L. J. & Smith, G. E. Everyday impact of cognitive interventions in mild cognitive impairment: a systematic review and meta-analysis. Neuropsychol. Rev. 26, 225–251 (2016).
Bottiroli, S., Cavallini, E., Dunlosky, J., Vecchi, T. & Hertzog, C. The importance of training strategy adaptation: a learner-oriented approach for improving older adults’ memory and transfer. J. Exp. Psychol. Appl. 19, 205–218 (2013).
Bellander, M. et al. No evidence for improved associative memory performance following process-based associative memory training in older adults. Front. Aging Neurosci. 8, 326 (2017).
Glenberg, A. M. & Lehmann, T. S. Spacing repetitions over 1 week. Mem. Cognit. 8, 528–538 (1980).
Bjork, R. A. in Practical Aspects of Memory: Current Research and Issues, Vol. 1: Memory in Everyday Life (eds Gruneberg, M. M., Morris, P. E. & Sykes, R. N.) 396–401 (Wiley, 1988).
Logan, J. M. & Balota, D. A. Expanded vs. equal interval spaced retrieval practice: exploring different schedules of spacing and retention interval in younger and older adults. Aging Neuropsychol. Cogn. 15, 257–280 (2008).
Karpicke, J. D. & Bauernschmidt, A. Spaced retrieval: absolute spacing enhances learning regardless of relative spacing. J. Exp. Psychol. Learn. Mem. Cogn. 37, 1250–1257 (2011).
Jennings, J. M. & Jacoby, L. L. Improving memory in older adults: training recollection. Neuropsychol. Rehabil. 13, 417–440 (2003).
Jennings, J. M., Webster, L. M., Kleykamp, B. A. & Dagenbach, D. Recollection training and transfer effects in older adults: successful use of a repetition-lag procedure. Aging Neuropsychol. Cogn. 12, 278–298 (2005).
Anderson, N. D., Ebert, P. L., Grady, C. L. & Jennings, J. M. Repetition lag training eliminates age-related recollection deficits (and gains are maintained after three months) but does not transfer: implications for the fractionation of recollection. Psychol. Aging 33, 93–108 (2018).
Boller, B., Jennings, J. M., Dieudonné, B., Verny, M. & Ergis, A.-M. Recollection training and transfer effects in Alzheimer’s disease: effectiveness of the repetition-lag procedure. Brain Cogn. 78, 169–177 (2012).
Jennings, J. M., Lopina, E. C. & Dagenbach, D. in Remembering (eds Lindsay, D. S., Kelley, C. M., Yonelinas, A. P. & Roediger III, H. L) 276–292 (Psychology, 2014).
Stamenova, V. et al. Training recollection in healthy older adults: clear improvements on the training task, but little evidence of transfer. Front. Hum. Neurosci. 8, 898 (2014).
Bailey, H., Dagenbach, D. & Jennings, J. M. The locus of the benefits of repetition-lag memory training. Aging Neuropsychol. Cogn. 18, 577–593 (2011).
Koch, I., Poljac, E., Müller, H. & Kiesel, A. Cognitive structure, flexibility, and plasticity in human multitasking — an integrative review of dual-task and task-switching research. Psychol. Bull. 144, 557–583 (2018).
Nguyen, L., Murphy, K. & Andrews, G. Immediate and long-term efficacy of executive functions cognitive training in older adults: a systematic review and meta-analysis. Psychol. Bull. 145, 698–733 (2019).
Dörrenbächer, S. & Kray, J. The impact of game-based task-shifting training on motivation and executive control in children with ADHD. J. Cogn. Enhanc. 3, 64–84 (2019).
Minear, M. & Shah, P. Training and transfer effects in task switching. Mem. Cognit. 36, 1470–1483 (2008).
Karbach, J. & Kray, J. How useful is executive control training? Age differences in near and far transfer of task-switching training. Dev. Sci. 12, 978–990 (2009).
von Bastian, C. C. & Oberauer, K. Distinct transfer effects of training different facets of working memory capacity. J. Mem. Lang. 69, 36–58 (2013).
Pereg, M., Shahar, N. & Meiran, N. Task switching training effects are mediated by working-memory management. Intelligence 41, 467–478 (2013).
Zinke, K., Zeintl, M., Eschen, A., Herzog, C. & Kliegel, M. Potentials and limits of plasticity induced by working memory training in old-old age. Gerontology 58, 79–87 (2012).
Braver, T. S. The variable nature of cognitive control: a dual mechanisms framework. Trends Cogn. Sci. 16, 106–113 (2012).
Schumacher, E. H. et al. Virtually perfect time sharing in dual-task performance: uncorking the central cognitive bottleneck. Psychol. Sci. 12, 101–108 (2001).
Schubert, T. & Strobach, T. Practice-related optimization of dual-task performance: efficient task instantiation during overlapping task processing. J. Exp. Psychol. Hum. Percept. Perform. 44, 1884–1904 (2018).
Bier, B., de Boysson, C. & Belleville, S. Identifying training modalities to improve multitasking in older adults. Age 36, 9688 (2014).
Gagnon, L. G. & Belleville, S. Training of attentional control in mild cognitive impairment with executive deficits: results from a double-blind randomised controlled study. Neuropsychol. Rehabil. 22, 809–835 (2012).
Lee, H. et al. Performance gains from directed training do not transfer to untrained tasks. Acta Psychol. 139, 146–158 (2012).
Voss, M. W. et al. Effects of training strategies implemented in a complex videogame on functional connectivity of attentional networks. Neuroimage 59, 138–148 (2012).
Bherer, L. et al. Testing the limits of cognitive plasticity in older adults: application to attentional control. Acta Psychol. 123, 261–278 (2006).
Bherer, L. et al. Training effects on dual-task performance: are there age-related differences in plasticity of attentional control? Psychol. Aging 20, 695–709 (2005).
Kramer, A. F., Larish, J. F. & Strayer, D. L. Training for attentional control in dual task settings: a comparison of young and old adults. J. Exp. Psychol. Appl. 1, 50–76 (1995).
Hazeltine, E., Teague, D. & Ivry, R. B. Simultaneous dual-task performance reveals parallel response selection after practice. J. Exp. Psychol. Hum. Percept. Perform. 28, 527–545 (2002).
Liepelt, R., Strobach, T., Frensch, P. & Schubert, T. Improved intertask coordination after extensive dual-task practice. Q. J. Exp. Psychol. 64, 1251–1272 (2011).
Strobach, T., Frensch, P., Müller, H. & Schubert, T. Evidence for the acquisition of dual-task coordination skills in older adults. Acta Psychol. 160, 104–116 (2015).
Strobach, T., Frensch, P. A. & Schubert, T. Video game practice optimizes executive control skills in dual-task and task switching situations. Acta Psychol. 140, 13–24 (2012).
Strobach, T., Frensch, P. A., Soutschek, A. & Schubert, T. Investigation on the improvement and transfer of dual-task coordination skills. Psychol. Res. 76, 794–811 (2012).
Bender, A. D., Filmer, H. L., Naughtin, C. K. & Dux, P. E. Dynamic, continuous multitasking training leads to task-specific improvements but does not transfer across action selection tasks. NPJ Sci. Learn. 2, 14 (2017).
Jensen, A. How much can we boost IQ and scholastic achievement? Harv. Educ. Rev. 39, 1–123 (1969).
Klingberg, T., Forssberg, H. & Westerberg, H. Training of working memory in children with ADHD. J. Clin. Exp. Neuropsychol. 24, 781–791 (2002).
Jones, J. S., Milton, F., Mostazir, M. & Adlam, A. R. The academic outcomes of working memory and metacognitive strategy training in children: a double-blind randomized controlled trial. Dev. Sci. 23, e12870 (2018).
Carpenter, J. et al. Domain-general enhancements of metacognitive ability through adaptive training. J. Exp. Psychol. Gen. 148, 51–64 (2019).
Belleville, S., Mellah, S., de Boysson, C., Demonet, J.-F. & Bier, B. The pattern and loci of training-induced brain changes in healthy older adults are predicted by the nature of the intervention. PLoS ONE 9, e102710 (2014).
Boyke, J., Driemeyer, J., Gaser, C., Büchel, C. & May, A. Training-induced brain structure changes in the elderly. J. Neurosci. 28, 7031 (2008).
Engvig, A. et al. Memory training impacts short-term changes in aging white matter: a longitudinal diffusion tensor imaging study. Hum. Brain Mapp. 33, 2390–2406 (2012).
Cabeza, R. et al. Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing. Nat. Rev. Neurosci. 19, 701–710 (2018).
Stern, Y. et al. Whitepaper: defining and investigating cognitive reserve, brain reserve, and brain maintenance. Alzheimers Dement. 16, 1305–1311 (2020).
Belleville, S. et al. Training-related brain plasticity in subjects at risk of developing Alzheimer’s disease. Brain 134, 1623–1634 (2011).
Belleville, S. & Bherer, L. Biomarkers of cognitive training effects in aging. Curr. Transl Geriatr. Exp. Gerontol. Rep. 1, 104–110 (2012).
Erickson, K. I. et al. Striatal volume predicts level of video game skill acquisition. Cereb. Cortex 20, 2522–2530 (2010).
Keysers, C., Gazzola, V. & Wagenmakers, E.-J. Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nat. Neurosci. 23, 788–799 (2020).
Rouder, J. N., Morey, R. D., Verhagen, J., Province, J. M. & Wagenmakers, E.-J. Is there a free lunch in inference? Top. Cogn. Sci. 8, 520–547 (2016).
Cumming, G. Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Routledge, 2011).
Dienes, Z. Bayesian versus orthodox statistics: which side are you on? Perspect. Psychol. Sci. 6, 274–290 (2011).
Simmons, J. P., Nelson, L. D. & Simonsohn, U. False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychol. Sci. 22, 1359–1366 (2011).
Jeffreys, H. The Theory of Probability 3rd edn (Oxford Univ. Press, 1998).
Kass, R. E. & Raftery, A. E. Bayes factors. J. Am. Stat. Assoc. 90, 773–795 (1995).
Kruschke, J. K. Doing Bayesian Data Analysis: A Tutorial with R and BUGS (Elsevier Academic, 2011).
JASP Team. A fresh way to do statistics. JASP https://jasp-stats.org/ (2018).
Dougherty, M. R., Hamovitz, T. & Tidwell, J. W. Reevaluating the effectiveness of n-back training on transfer through the Bayesian lens: support for the null. Psychon. Bull. Rev. 23, 306–316 (2016).
Farrell, S. & Lewandowsky, S. Computational Modeling of Cognition and Behavior (Cambridge Univ. Press, 2018).
Redick, T. S. & Lindsey, D. R. B. Complex span and n-back measures of working memory: a meta-analysis. Psychon. Bull. Rev. 20, 1102–1113 (2013).
Anderson, J. R. How Can The Human Mind Occur In The Physical Universe? (Oxford Univ. Press, 2009).
Takeuchi, H. & Kawashima, R. Effects of processing speed training on cognitive functions and neural systems. Rev. Neurosci. 23, 289–301 (2012).
Ratcliff, R. A theory of memory retrieval. Psychol. Rev. 85, 59–108 (1978).
Schmiedek, F., Oberauer, K., Wilhelm, O., Süß, H.-M. & Wittmann, W. W. Individual differences in components of reaction time distributions and their relations to working memory and intelligence. J. Exp. Psychol. Gen. 136, 414–429 (2007).
van Ravenzwaaij, D., Brown, S. & Wagenmakers, E.-J. An integrated perspective on the relation between response speed and intelligence. Cognition 119, 381–393 (2011).
Acknowledgements
The authors acknowledge the support of the Economic and Social Research Council (UK) to C.C.v.B. (ES/V013610/1), the Social Sciences and Humanities Research Council (Canada) to S.B. (2004-2020-0009) and the German Research Foundation to T.S. (STR 1223/10-1).
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All authors researched data for the article. C.C.v.B., S.B. and T.S. contributed substantially to discussion of the content. All authors wrote the article. All authors reviewed and/or edited the manuscript before submission.
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Glossary
- Effectiveness
-
Positive training effects in ecologically valid, real-world settings with little experimental control and non-homogeneous samples.
- Mechanisms
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Theoretical constructs specifying the function and organization of one or more cognitive processes and their interplay with other processes and/or biological substrates.
- Action video gaming
-
Playing video games with a fast-paced, complex and dynamic visual environment with a high degree of visual clutter and distraction, demanding focused and distributed attention.
- Process-based training
-
Repetitive practice of tasks that are assumed to require basic cognitive processes.
- Useful field of view test
-
Computer-based measure of the ability to discriminate stimuli presented in central vision with or without concurrent tasks and distractors in peripheral vision.
- Probabilistic inference
-
Computing the probability of one or more random variables using a specific value or set of values.
- Working memory capacity
-
Quantity of information that can be held accessible in working memory in the present moment.
- Fluid intelligence
-
Ability to solve novel reasoning problems.
- Strategy-based training
-
Instruction on mental processes or strategies that differ from those typically involved in the task.
- Self-efficacy
-
One’s belief in their ability to manage and succeed in a particular situation.
- Spaced learning
-
Repeated exposures to learning are spread out over time; for example, short practice sessions spread over multiple days.
- Massed learning
-
Repeated exposures to learning are grouped together; for example, one long practice session on a single day.
- Switch costs
-
Differences in performance between repetition trials, in which participants perform the same task as in the previous trial, and switch trials, in which participants perform a different task than in the previous trial.
- Dual-task costs
-
Differences in performance between dual-task trials, in which participants perform two tasks simultaneously, and single-task trials, in which participants complete one of the two tasks.
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Cite this article
von Bastian, C.C., Belleville, S., Udale, R.C. et al. Mechanisms underlying training-induced cognitive change. Nat Rev Psychol 1, 30–41 (2022). https://doi.org/10.1038/s44159-021-00001-3
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DOI: https://doi.org/10.1038/s44159-021-00001-3
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