Working Memory Training and Transfer: Theoretical and Practical Considerations

  • Susanne M. Jaeggi
  • Martin Buschkuehl
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 90)


The study of transfer and brain plasticity is currently one of the hot topics in cognitive science. Transfer refers to performance improvements in tasks that were not part of an intervention. In this chapter, we will provide evidence for the efficacy of several working memory (WM) interventions developed in our laboratories and review the emerging literature from other groups. We will discuss data that demonstrate transfer to non-trained tasks throughout the lifespan, that is, in young adults, in older adults, in typically developing children, as well as children with Attention-Deficit Hyperactivity Disorder (ADHD). We will also briefly discuss the neural correlates that underlie improvements as a function of WM training. In addition to describing successful instances of transfer, we will also point out that transfer effects can be elusive, and that some of the effects do not seem to be easily replicated. We argue that instead of taking inconsistencies as a proof for a lack of efficacy, researchers need to develop innovative approaches to move the cognitive training literature beyond the simple question of whether or not training is effective, and to address questions of underlying mechanisms, individual differences, and training features and parameters that might mediate and moderate the efficacy of training.


Transfer Effect ADHD Symptom Work Memory Work Memory Capacity Cognitive Training 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Aiken, C. (1895). Methods of mind-training: concentrated attention and memory. New York: American Book Company. Google Scholar
  2. 2.
    Alloway, T. P., & Alloway, R. G. (2010). Investigating the predictive roles of working memory and IQ in academic attainment. Journal of Experimental Child Psychology, 106(1), 20–29.Google Scholar
  3. 3.
    Alloway, T. P., et al. (2009). The cognitive and behavioral characteristics of children with low working memory. Child Development, 80(2), 606–621.Google Scholar
  4. 4.
    Anguera, J. A., et al. (2012). The effects of working memory resource depletion and training on sensorimotor adaptation. Behavioural Brain Research, 228(1), 107–115.Google Scholar
  5. 5.
    Aronen, E. T., et al. (2005). Working memory, psychiatric symptoms, and academic performance at school. Neurobiology of Learning and Memory, 83(1), 33–42.Google Scholar
  6. 6.
    Baddeley, A. (1992). Working memory. Science, 255(5044), 556–559.Google Scholar
  7. 7.
    Ball, K., et al. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. JAMA, 288(18), 2271–2281.Google Scholar
  8. 8.
    Barnett, S. M., & Ceci, S. J. (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612–637.Google Scholar
  9. 9.
    Basak, C., et al. (2008). Can training in a real-time strategy video game attenuate cognitive decline in older adults? Psychology and Aging, 23(4), 765–777.Google Scholar
  10. 10.
    Beck, S. J., et al. (2010). A controlled trial of working memory training for children and adolescents with ADHD. Journal of Clinical Child and Adolescent Psychology, 39(6), 825–836.Google Scholar
  11. 11.
    Bell, M., Bryson, G., & Wexler, B. E. (2003). Cognitive remediation of working memory deficits: Durability of training effects in severely impaired and less severely impaired schizophrenia. Acta Psychiatrica Scandinavica, 108(2), 101–109.Google Scholar
  12. 12.
    Bellander, M., et al. (2011). Preliminary evidence that allelic variation in the LMX1A gene influences training-related working memory improvement. Neuropsychologia, 49(7), 1938–1942.Google Scholar
  13. 13.
    Bergman Nutley, S., et al. (2011). Gains in fluid intelligence after training non-verbal reasoning in 4-year-old children: A controlled, randomized study. Developmental Science, 14(3), 591–601.Google Scholar
  14. 14.
    Bickel, W. K., et al. (2011). Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychiatry, 69(3), 260–265.MathSciNetGoogle Scholar
  15. 15.
    Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78(1), 246–263.Google Scholar
  16. 16.
    Borella, E., et al. (2010). Working memory training in older adults evidence of transfer and maintenance effects. Psychology and Aging, 25(4), 767–778.Google Scholar
  17. 17.
    Borella, E., et al. (2013). Working memory training in old age: An examination of transfer and maintenance effects. Archives of Clinical Neuropsychology, 28(4), 331–347.Google Scholar
  18. 18.
    Brehmer, Y., Westerberg, H., & Backman, L. (2012). Working-memory training in younger and older adults: Training gains, transfer, and maintenance. Frontiers in Human Neuroscience, 6, 63.Google Scholar
  19. 19.
    Brehmer, Y., et al. (2009). Working memory plasticity modulated by dopamine transporter genotype. Neuroscience Letters, 467(2), 117–120.Google Scholar
  20. 20.
    Bryck, R. L., & Fisher, P. A. (2012). Training the brain: Practical applications of neural plasticity from the intersection of cognitive neuroscience, developmental psychology, and prevention science. American Psychologist, 67(2), 87–100.Google Scholar
  21. 21.
    Buschkuehl, M., Jaeggi, S.M., & Jonides, J. (2012) Neuronal effects following working memory training. Developmental Cognitive Neuroscience, 2(Supplement 1), S167–S179.Google Scholar
  22. 22.
    Buschkuehl, M., et al. (2008). Impact of working memory training on memory performance in old–old adults. Psychology and Aging, 23(4), 743–753.Google Scholar
  23. 23.
    Buschkuehl, M., et al. (2014). Neural effects of short-term training on working memory. Cognitive, Affective, & Behavioral Neuroscience, 14(1), 147–160.Google Scholar
  24. 24.
    Carretti, B., Borella, E., & De Beni, R. (2007). Does strategic memory training improve the working memory performance of younger and older adults? Experimental Psychology, 54(4), 311–320.Google Scholar
  25. 25.
    Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1–22.Google Scholar
  26. 26.
    Cepeda, N. J., et al. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380.Google Scholar
  27. 27.
    Cepeda, N. J., et al. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102.Google Scholar
  28. 28.
    Chacko, A., et al. (2013). Cogmed working memory training for youth with ADHD: A closer examination of efficacy utilizing evidence-based criteria. Journal of Clinical Child and Adolescent Psychology, 42(6), 769–783.Google Scholar
  29. 29.
    Chein, J. M., & Morrison, A. B. (2010). Expanding the mind’s workspace: Training and transfer effects with a complex working memory span task. Psychonomic Bulletin & Review, 17(2), 193–199.Google Scholar
  30. 30.
    Chooi, W. T., & Thompson, L. A. (2012). Working memory training does not improve intelligence in healthy young adults. Intelligence, 40(6), 531–542.Google Scholar
  31. 31.
    Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14(2), 125–130.Google Scholar
  32. 32.
    Colom, R., et al. (2013). Adaptive n-back training does not improve fluid intelligence at the construct level: Gains on individual tests suggest training may enhance visuospatial processing. Intelligence, 41(5), 712–727.Google Scholar
  33. 33.
    Craik, F. I., et al. (2007). Cognitive rehabilitation in the elderly: Effects on memory. Journal of the International Neuropsychological Society, 13(1), 132–142.MathSciNetGoogle Scholar
  34. 34.
    Dahlin, E., et al. (2008). Transfer of learning after updating training mediated by the striatum. Science, 320(5882), 1510–1512.Google Scholar
  35. 35.
    Dahlin, E., et al. (2009). Training of the executive component of working memory: Subcortical areas mediate transfer effects. Restorative Neurology and Neuroscience, 27(5), 405–419.Google Scholar
  36. 36.
    Darowski, E. S., et al. (2008). Age-related differences in cognition: The role of distraction control. Neuropsychology, 22(5), 638–644.Google Scholar
  37. 37.
    de Jonge, P., & de Jong, P. F. (1996). Working memory, intelligence and reading ability in children. Personality and Individual Differences, 21(6), 1007–1020.Google Scholar
  38. 38.
    Deary, I. J., et al. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13–21.Google Scholar
  39. 39.
    Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), 627–668.Google Scholar
  40. 40.
    Detterman, D. K. (1993). The case for prosecution: Transfer as an epiphenomenon. In D. K. Detterman & R. J. Sternberg (Eds.), Transfer on trial: Intelligence, cognition, and instruction (pp. 1–24). Norwood, NJ: Ablex Publishing Corporation.Google Scholar
  41. 41.
    Diamond, A., & Lee, K. (2011). Interventions shown to aid executive function development in children 4 to 12 years old. Science, 333(6045), 959–964.Google Scholar
  42. 42.
    Duckworth, A. L., et al. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92(6), 1087–1101.Google Scholar
  43. 43.
    Engle, R. W., Kane, M. J., & Tuholski, S. W. (1999). Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence, and functions of the prefrontal cortex. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 102–134). Cambridge: Cambridge University Press.Google Scholar
  44. 44.
    Ericsson, K. A., & Delaney, P. F. (1998). Working memory and expert performance. In R. Logie & K. J. Gilhooly (Eds.), Working memory and thinking (pp. 93–114). Hillsdale, NJ: Erlbaum.Google Scholar
  45. 45.
    Feuerstein, R. (1980). Instrumental enrichment: An intervention program for cognitive modifiability. Baltimore, MD: University Park Press.Google Scholar
  46. 46.
    García-Madruga, J. A., et al. (2013). Reading comprehension and working memory’s executive processes: An intervention study in primary school students. Reading Research Quarterly, 48(2), 155–174.Google Scholar
  47. 47.
    Garlick, D. (2002). Understanding the nature of the general factor of intelligence: The role of individual differences in neural plasticity as an explanatory mechanism. Psychological Review, 109(1), 116–136.Google Scholar
  48. 48.
    Gathercole, S. E., Lamont, E., & Packiam Alloway, T. (2006). Working memory in the classroom. In S. Pickering (Ed.), Working memory and education (pp. 219–240). Oxford, UK: Elsevier Press.Google Scholar
  49. 49.
    Gathercole, S. E., et al. (2006). Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93(3), 265–281.Google Scholar
  50. 50.
    Gee, J. P. (2007). What video games have to teach us about learning and literacy: Revised and updated edition. New York, NY: Palgrave Macmillan.Google Scholar
  51. 51.
    Gomez-Pinilla, F. (2008). Brain foods: The effects of nutrients on brain function. Nature Reviews Neuroscience, 9(7), 568–578.Google Scholar
  52. 52.
    Gopher, D. (2007). Emphasis change as a training protocol for high-demand tasks. In A. F. Kramer, D. A. Wiegmann, & A. Kirlik (Eds.), Attention: From theory to practice (pp. 209–224). New York, NY: Oxford University Press.Google Scholar
  53. 53.
    Gottfredson, L. S. (1997). Why g matters: The complexity of everyday life. Intelligence, 24(1), 79–132.Google Scholar
  54. 54.
    Gray, J. R., Chabris, C. F., & Braver, T. S. (2003). Neural mechanisms of general fluid intelligence. Nature Neuroscience, 6(3), 316–322.Google Scholar
  55. 55.
    Gray, J. R., & Thompson, P. M. (2004). Neurobiology of intelligence: Science and ethics. Nature Reviews Neuroscience, 5(6), 471–482.Google Scholar
  56. 56.
    Green, C. S., & Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423(6939), 534–537.Google Scholar
  57. 57.
    Green, C. S., & Bavelier, D. (2007). Action-video-game experience alters the spatial resolution of vision. Psychological Science, 18(1), 88–94.Google Scholar
  58. 58.
    Haskell, W. L., et al. (2007). Physical activity and public health – updated recommendation for adults from the American college of sports medicine and the American heart association. Circulation, 116(9), 1081–1093.Google Scholar
  59. 59.
    Hayslip, B. (1989). Fluid ability training with aged people: A past with a future? Educational Gerontology, 15, 573–595.Google Scholar
  60. 60.
    Hempel, A., et al. (2004). Plasticity of cortical activation related to working memory during training. American Journal of Psychiatry, 161(4), 745–747.Google Scholar
  61. 61.
    Herrnstein, R. J., et al. (1986). Teaching thinking skills. American Psychologist, 41(11), 1279–1289.Google Scholar
  62. 62.
    Hindin, S. B., & Zelinski, E. M. (2012). Extended practice and aerobic exercise interventions benefit untrained cognitive outcomes in older adults: A meta-analysis. Journal of the American Geriatrics Society, 60(1), 136–141.Google Scholar
  63. 63.
    Holmes, J., & Gathercole, S.E. (2013) Taking working memory training from the laboratory into schools. Educational Psychology.Google Scholar
  64. 64.
    Holmes, J., Gathercole, S. E., & Dunning, D. L. (2009). Adaptive training leads to sustained enhancement of poor working memory in children. Developmental Science, 12(4), F9–F15.Google Scholar
  65. 65.
    Holmes, J., et al. (2010). Working memory deficits can be overcome: Impacts of training and medication on working memory in children with ADHD. Applied Cognitive Psychology, 24(6), 827–836.Google Scholar
  66. 66.
    Houben, K., Wiers, R. W., & Jansen, A. (2011). Getting a grip on drinking behavior: Training working memory to reduce alcohol abuse. Psychological Science, 22(7), 968–975.Google Scholar
  67. 67.
    Hsu, N. S., & Jaeggi, S. M. (2014). The emergence of cognitive control abilities in childhood. Current Topics in Behavioral Neurosciences, 16, 149–166.Google Scholar
  68. 68.
    Hsu, N. S., Novick, J. M., & Jaeggi, S. M. (2014). The development and malleability of executive control abilities. Frontiers in Behavioral Neuroscience, 8(221).Google Scholar
  69. 69.
    Hunt, E., & Jaeggi, S. M. (2013). Challenges for research on intelligence. Journal of Intelligence, 1(1), 36–54.Google Scholar
  70. 70.
    Hussey, E. K., & Novick, J. M. (2012). The benefits of executive control training and the implications for language processing. Frontiers in Psychology, 3, 158.Google Scholar
  71. 71.
    Jaeggi, S. M., et al. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences of the United States of America, 105(19), 6829–6833.Google Scholar
  72. 72.
    Jaeggi, S. M., et al. (2010). The concurrent validity of the N-back task as a working memory measure. Memory, 18(4), 394–412.Google Scholar
  73. 73.
    Jaeggi, S. M., et al. (2010). The relationship between n-back performance and matrix reasoning – implications for training and transfer. Intelligence, 38(6), 625–635.Google Scholar
  74. 74.
    Jaeggi, S. M., et al. (2011). Short- and long-term benefits of cognitive training. Proceedings of the National Academy of Sciences of the United States of America, 108(25), 10081–10086.Google Scholar
  75. 75.
    Jaeggi, S.M., et al. (2011). Working memory training in typically developing children and children with attention deficit hyperactivity disorder: Evidence for plasticity in executive control processes. Eighteenth Annual Cognitive Neuroscience Society Meeting, San Francisco, CA.Google Scholar
  76. 76.
    Jaeggi, S. M., et al. (2012). Cogmed and working memory training – current challenges and the search for underlying mechanisms. Journal of Applied Research in Memory and Cognition, 1, 211–213.Google Scholar
  77. 77.
    Jaeggi, S. M., et al. (2014). The role of individual differences in cognitive training and transfer. Memory and Cognition, 42(3), 464–480.Google Scholar
  78. 78.
    Jausovec, N., & Jausovec, K. (2012). Working memory training: Improving intelligence – changing brain activity. Brain and Cognition, 79(2), 96–106.Google Scholar
  79. 79.
    Jha, A. P., Krompinger, J., & Baime, M. J. (2007). Mindfulness training modifies subsystems of attention. Cognitive, Affective, & Behavioral Neuroscience, 7(2), 109–119.Google Scholar
  80. 80.
    Jolles, D. D., & Crone, E. A. (2012). Training the developing brain: A neurocognitive perspective. Frontiers in Human Neuroscience, 6, 76.Google Scholar
  81. 81.
    Jones, R. N., et al. (2013). The ACTIVE cognitive training interventions and trajectories of performance among older adults. Journal of Aging and Health, 25(8 Suppl), 186S–208S.Google Scholar
  82. 82.
    Jonides, J. (2004). How does practice makes perfect? Nature Neuroscience, 7(1), 10–11.Google Scholar
  83. 83.
    Jonides, J., et al. (1997). Verbal working memory load affects regional brain activation as measured by PET. Journal of Cognitive Neuroscience, 9(4), 462–475.Google Scholar
  84. 84.
    Jonides, J., et al. (2008). The mind and brain of short-term memory. Annual Review of Psychology, 59, 193–224.Google Scholar
  85. 85.
    Jonides, J., et al. (2012). Building better brains. Scientific American Mind, 23(4), 59–63.Google Scholar
  86. 86.
    Kan, K. J., et al. (2013). On the nature and nurture of intelligence and specific cognitive abilities: The more heritable, the more culture dependent. Psychological Science, 24(12), 2420–2428.Google Scholar
  87. 87.
    Kane, M. J., et al. (2007). Working memory, attention control, and the N-back task: A question of construct validity. Journal of Experimental Psychology. Learning, Memory, and Cognition, 33(3), 615–622.Google Scholar
  88. 88.
    Kelly, C., Foxe, J. J., & Garavan, H. (2006). Patterns of normal human brain plasticity after practice and their implications for neurorehabilitation. Archives of Physical Medicine and Rehabilitation, 87(12 Suppl 2), S20–S29.Google Scholar
  89. 89.
    Kerns, A. K., Eso, K., & Thomson, J. (1999). Investigation of a direct intervention for improving attention in young children with ADHD. Developmental Neuropsychology, 16, 273–295.Google Scholar
  90. 90.
    Kesler, S., et al. (2013). Cognitive training for improving executive function in chemotherapy-treated breast cancer survivors. Clinical Breast Cancer, 13(4), 299–306.Google Scholar
  91. 91.
    Klauer, K. J., & Phye, G. D. (2008). Inductive reasoning: A training approach. Review of Educational Research, 78(1), 85–123.Google Scholar
  92. 92.
    Klingberg, T., Forssberg, H., & Westerberg, H. (2002). Training of working memory in children with ADHD. Journal of Clinical and Experimental Neuropsychology, 24(6), 781–791.Google Scholar
  93. 93.
    Klingberg, T., et al. (2005). Computerized training of working memory in children with ADHD – a randomized, controlled trial. Journal of the American Academy of Child and Adolescent Psychiatry, 44(2), 177–186.Google Scholar
  94. 94.
    Kroesbergen, E. H., van’t Noordende, J. E., & Kolkman, M. E. (2014). Training working memory in kindergarten children: Effects on working memory and early numeracy. Child Neuropsychology, 20(1), 23–37.Google Scholar
  95. 95.
    Kronenberger, W. G., et al. (2011). Working memory training for children with cochlear implants: A pilot study. Journal of Speech, Language, and Hearing Research, 54(4), 1182–1196.Google Scholar
  96. 96.
    Kundu, B., et al. (2013). Strengthened effective connectivity underlies transfer of working memory training to tests of short-term memory and attention. Journal of Neuroscience, 33(20), 8705–8715.Google Scholar
  97. 97.
    Li, S. C., et al. (2008). Working memory plasticity in old age: Practice gain, transfer, and maintenance. Psychology and Aging, 23(4), 731–742.Google Scholar
  98. 98.
    Lilienthal, L., et al. (2013). Dual n-back training increases the capacity of the focus of attention. Psychonomic Bulletin & Review, 20(1), 135–141.Google Scholar
  99. 99.
    Loosli, S. V., et al. (2012). Working memory training improves reading processes in typically developing children. Child Neuropsychology, 18(1), 62–78.Google Scholar
  100. 100.
    Lustig, C., et al. (2009). Aging, training, and the brain: A review and future directions. Neuropsychology Review, 19(4), 504–522.Google Scholar
  101. 101.
    Malone, T. W., & Lepper, M. R. (1987). Making learning fun: A taxonomy of intrinsic motivations for learning. In R. E. Snow & M. J. Farr (Eds.), Aptitude, learning and instruction: III. Conative and affective process analyses (pp. 223–253). Hilsdale, NJ: Erlbaum.Google Scholar
  102. 102.
    McGurk, S. R., et al. (2007). A meta-analysis of cognitive remediation in schizophrenia. American Journal of Psychiatry, 164(12), 1791–1802.Google Scholar
  103. 103.
    McNab, F., et al. (2009). Changes in cortical dopamine D1 receptor binding associated with cognitive training. Science, 323(5915), 800–802.Google Scholar
  104. 104.
    Melby-Lervåg, M., & Hulme, C. (2013). Is working memory training effective? A meta-analytic review. Developmental Psychology, 49(2), 270–291.Google Scholar
  105. 105.
    Minear, M., & Shah, P. (2006). Sources of working memory deficits in children and possibilities for remediation. In S. Pickering (Ed.), Working memory and education (pp.274–307). Oxford, UK: Elsevier Press.Google Scholar
  106. 106.
    Mitchell, M. B., et al. (2012). Cognitively stimulating activities: Effects on cognition across four studies with up to 21 years of longitudinal data. Journal of Aging Research, 2012, 461592.Google Scholar
  107. 107.
    Moreno, S., et al. (2011). Short-term music training enhances verbal intelligence and executive function. Psychological Science, 22(11), 1425–1433.Google Scholar
  108. 108.
    Neely, A. S., & Backman, L. (1993). Maintenance of gains following multifactorial and unifactorial memory training in late adulthood. Educational Gerontology, 19(2), 105–117.Google Scholar
  109. 109.
    Neely, A. S., & Backman, L. (1995). Effects of multifactorial memory training in old-age – generalizability across tasks and individuals. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 50(3), P134–P140.Google Scholar
  110. 110.
    Noice, H., & Noice, T. (2009). An arts intervention for older adults living in subsidized retirement homes. Aging, Neuropsychology, and Cognition, 16(1), 56–79.Google Scholar
  111. 111.
    Novick, J. M., et al. (2013). Clearing the garden-path: Improving sentence processing through cognitive control training. Language and Cognitive Processes, 28, 1–44.Google Scholar
  112. 112.
    Owen, A. M., et al. (2005). N-back working memory paradigm: A meta-analysis of normative functional neuroimaging studies. Human Brain Mapping, 25(1), 46–59.Google Scholar
  113. 113.
    Owen, A. M., et al. (2010). Putting brain training to the test. Nature, 465(7299), 775–778.Google Scholar
  114. 114.
    Owens, M., Koster, E. H., & Derakshan, N. (2013). Improving attention control in dysphoria through cognitive training: Transfer effects on working memory capacity and filtering efficiency. Psychophysiology, 50(3), 297–307.Google Scholar
  115. 115.
    Park, D. C., et al. (2014). The impact of sustained engagement on cognitive function in older adults: The synapse project. Psychological Science, 25(1), 103–112.Google Scholar
  116. 116.
    Passolunghi, M. C., & Siegel, L. S. (2001). Short-term memory, working memory, and inhibitory control in children with difficulties in arithmetic problem solving. Journal of Experimental Child Psychology, 80, 44–57.Google Scholar
  117. 117.
    Perkins, D. N., & Salomon, G. (1994). Transfer of learning. In T. Husen & T. N. Postelwhite (Eds.), International handbook of educational research (pp. 6452–6457). Oxford: Pergamon Press.Google Scholar
  118. 118.
    Pickering, S. (Ed.). (2006). Working memory and education. Oxford, UK: Elsevier Press.Google Scholar
  119. 119.
    Prensky, M. (2001). Digital game-based learning. New York: McGraw-Hill.Google Scholar
  120. 120.
    Qiu, F., et al. (2009). Study on improving fluid intelligence through cognitive training system based on Gabor stimulus. ICISE 2009.Google Scholar
  121. 121.
    Raven, J. C. (1990). Advanced progressive matrices. Sets I, II. Oxford: Oxford University Press.Google Scholar
  122. 122.
    Rebok, G. W., et al., (2014). Ten-year effects of the advanced cognitive training for independent and vital elderly cognitive training trial on cognition and everyday functioning in older adults. Journal of the American Geriatrics Society. Google Scholar
  123. 123.
    Redick, T. S., et al. (2013). No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study. Journal of Experimental Psychology: General, 142(2), 359–379.Google Scholar
  124. 124.
    Roughan, L., & Hadwin, J. A. (2011). The impact of working memory training in young people with social, emotional and behavioural difficulties. Learning and Individual Differences, 21, 759–764.Google Scholar
  125. 125.
    Rudebeck, S. R., et al. (2012). A potential spatial working memory training task to improve both episodic memory and fluid intelligence. PLoS One, 7(11), e50431.Google Scholar
  126. 126.
    Saczynski, J. S., Willis, S. L., & Schaie, K. W. (2002). Strategy use in reasoning training with older adults. Aging, Neuropsychology, and Cognition, 9(1), 48–60.Google Scholar
  127. 127.
    Salminen, T., Strobach, T., & Schubert, T. (2012). On the impacts of working memory training on executive functioning. Frontiers in Human Neuroscience, 6, 166.Google Scholar
  128. 128.
    Salomon, G., & Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24(2), 113–142.Google Scholar
  129. 129.
    Schellenberg, E. G. (2004). Music lessons enhance IQ. Psychological Science, 15(8), 511–514.Google Scholar
  130. 130.
    Schmidt, R. A., & Bjork, R. A. (1992). New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3(4), 207–217.Google Scholar
  131. 131.
    Schmiedek, F., Lövdén, M., & Lindenberger, U. (2012). Hundred days of cognitive training enhance broad cognitive abilities in adulthood: Findings from the COGITO study. Frontiers in Aging Neuroscience, 2(27).Google Scholar
  132. 132.
    Schneiders, J. A., et al. (2011). Separating intra-modal and across-modal training effects in visual working memory: An fMRI investigation. Cerebral Cortex, 21(11), 2555–2564.Google Scholar
  133. 133.
    Schneiders, J. A., et al. (2012). The impact of auditory working memory training on the fronto-parietal working memory network. Frontiers in Human Neuroscience, 6, 173.Google Scholar
  134. 134.
    Schweizer, S., Hampshire, A., & Dalgleish, T. (2011). Extending brain-training to the affective domain: Increasing cognitive and affective executive control through emotional working memory training. PLoS One, 6(9), e24372.Google Scholar
  135. 135.
    Schweizer, S., et al. (2013). Training the emotional brain: Improving affective control through emotional working memory training. Journal of Neuroscience, 33(12), 5301–5311.MathSciNetGoogle Scholar
  136. 136.
    Shah, P., & Miyake, A. (1999). Models of working memory: An introduction. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanism of active maintenance and executive control (pp. 1–26). New York: Cambridge University Press.Google Scholar
  137. 137.
    Shah, P., et al. (2012). Cognitive training for ADHD: The importance of individual differences. Journal of Applied Research in Memory and Cognition, 1, 204–205.Google Scholar
  138. 138.
    Shalev, L., Tsal, Y., & Mevorach, C. (2007). Computerized progressive attentional training (CPAT) program: Effective direct intervention for children with ADHD. Child Neuropsychology, 13(4), 382–388.Google Scholar
  139. 139.
    SharpBrains (2013). Digital Brain Health Market Report. Executive summary: Infographic on the Digital Brain Health Market 2012–2020 [cited 2013 September 16]. Available from
  140. 140.
    Shipstead, Z., Hicks, K. L., & Engle, R. W. (2012). Cogmed working memory training: Does the evidence support the claims? Journal of Applied Research in Memory and Cognition, 1, 185–193.Google Scholar
  141. 141.
    Shipstead, Z., Redick, T. S., & Engle, R. W. (2012). Is working memory training effective? Psychological Bulletin, 138(4), 628–654.Google Scholar
  142. 142.
    Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge, MA: Harvard University Press.Google Scholar
  143. 143.
    Snow, R. E., Kyllonen, P. C., & Marshalek, B. (1984). The topography of ability and learning correlations. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 47–103). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  144. 144.
    Squire, K. (2003). Video games in education. International Journal of Intelligent Simulations and Gaming, 2, 1–16.Google Scholar
  145. 145.
    St Clair-Thompson, H., et al. (2010). Improving children’s working memory and classroom performance. Educational Psychology, 30(2), 203–219.Google Scholar
  146. 146.
    Stepankova, H., et al. (2014). Dose–response relationship of working memory training and improvements in fluid intelligence: A randomized controlled study in old adults. Developmental Psychology, 50(4), 1049–1059.Google Scholar
  147. 147.
    Stephenson, C. L., & Halpern, D. F. (2013). Improved matrix reasoning is limited to training on tasks with a visuospatial component. Intelligence, 41, 341–357.Google Scholar
  148. 148.
    Stine-Morrow, E. A., et al. (2008). The effects of an engaged lifestyle on cognitive vitality: A field experiment. Psychology and Aging, 23(4), 778–786.Google Scholar
  149. 149.
    Stough, C., et al. (2011). Improving general intelligence with a nutrient-based pharmacological intervention. Intelligence, 39, 100–107.Google Scholar
  150. 150.
    Studer-Luethi, B., et al. (2012). Influence of neurotisicm and conscientiousness on working memory training outcome. Personality and Individual Differences, 53(1), 44–49.Google Scholar
  151. 151.
    Suter, E., Marti, B., & Gutzwiller, F. (1994). Jogging or walking – comparison of health effects. Annals of Epidemiology, 4(5), 375–381.Google Scholar
  152. 152.
    Szmalec, A., et al. (2011). Control of interference during working memory updating. Journal of Experimental Psychology. Human Perception and Performance, 37(1), 137–151.Google Scholar
  153. 153.
    Takeuchi, H., et al. (2010). Training of working memory impacts structural connectivity. Journal of Neuroscience, 30(9), 3297–3303.Google Scholar
  154. 154.
    Takeuchi, H., et al. (2011). Working memory training using mental calculation impacts regional gray matter of the frontal and parietal regions. PLoS One, 6(8), e23175.Google Scholar
  155. 155.
    Takeuchi, H., et al. (2013). Effects of working memory training on functional connectivity and cerebral blood flow during rest. Cortex, 49(8), 2106–2125.Google Scholar
  156. 156.
    Tallal, P., et al. (1996). Language comprehension in language-learning impaired children improved with acoustically modified speech. Science, 271(5245), 81–84.Google Scholar
  157. 157.
    Tang, Y. Y., et al. (2007). Short-term meditation training improves attention and self-regulation. Proceedings of the National Academy of Sciences of the United States of America, 104(43), 17152–17156.Google Scholar
  158. 158.
    te Nijenhuis, J., van Vianen, A. E. M., & van der Flier, H. (2007). Score gains on g-loaded tests: No g. Intelligence, 35, 283–300.Google Scholar
  159. 159.
    Thompson, T. W., et al. (2013). Failure of working memory training to enhance cognition or intelligence. PLoS One, 8(5), e63614.Google Scholar
  160. 160.
    Thorell, L. B., et al. (2009). Training and transfer effects of executive functions in preschool children. Developmental Science, 12(1), 106–113.Google Scholar
  161. 161.
    Thorndike, E. L., & Woodworth, R. S. (1901). The influence of improvement in one mental function upon the efficiency of other functions. Psychological Review, 8, 247–261.Google Scholar
  162. 162.
    Tranter, L.J., & Koutstaal, W. (2007). Age and flexible thinking: An experimental demonstration of the beneficial effects of increased cognitively stimulating activity on fluid intelligence in healthy older adults. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 1–24.Google Scholar
  163. 163.
    Twamley, E. W., Burton, C. Z., & Vella, L. (2011). Compensatory cognitive training for psychosis: Who benefits? Who stays in treatment? Schizophrenia Bulletin, 37(Suppl 2), S55–S62.Google Scholar
  164. 164.
    Van der Molen, M. J., et al. (2010). Effectiveness of a computerised working memory training in adolescents with mild to borderline intellectual disabilities. Journal of Intellectual Disability Research, 54(4), 433–447.Google Scholar
  165. 165.
    Verhaeghen, P., & Marcoen, A. (1996). On the mechanisms of plasticity in young and older adults after instruction in the method of loci: Evidence for an amplification model. Psychology and Aging, 11(1), 164–178.Google Scholar
  166. 166.
    von Bastian, C. C., & Oberauer, K. (2013). Distinct transfer effects of training different facets of working memory capacity. Journal of Memory and Language, 69, 36–58.Google Scholar
  167. 167.
    Whisman, M. A. (1990). The efficacy of booster maintenance sessions in behavior therapy: Review and methodological critique. Clinical Psychology Review, 10(2), 155–170.Google Scholar
  168. 168.
    Wiley, J., et al. (2011). New rule use drives the relation between working memory capacity and Raven’s advanced progressive matrices. Journal of Experimental Psychology. Learning, Memory, and Cognition, 37(1), 256–263.Google Scholar
  169. 169.
    Willcutt, E. G., et al. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57(11), 1336–1346.Google Scholar
  170. 170.
    Willis, S. L. (2001). Methodological issues in behavioral intervention research with the elderly. In J. E. Birren & K. W. Schaie (Eds.), Handbook of the psychology of aging (pp. 78–108). San Diego: Academic Press.Google Scholar
  171. 171.
    Willis, S. L., et al. (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA, 296(23), 2805–2814.Google Scholar
  172. 172.
    Witt, M. (2011). School based working memory training: Preliminary finding of improvement in children’s mathematical performance. Advances in Cognitive Psychology, 7, 7–15.Google Scholar
  173. 173.
    Woltz, D. J., Gardner, M. K., & Gyll, S. P. (2000). The role of attention processes in near transfer of cognitive skills. Learning and Individual Differences, 12, 209–251.Google Scholar
  174. 174.
    Ybarra, O., et al. (2008). Mental exercising through simple socializing: Social interaction promotes general cognitive functioning. Personality and Social Psychology Bulletin, 34(2), 248–259.Google Scholar
  175. 175.
    Zhao, X., et al. (2011). Effect of updating training on fluid intelligence in children. Chinese Science Bulletin, 56(21), 2202–2205.Google Scholar
  176. 176.
    Zinke, K., et al. (2014). Working memory training and transfer in older adults: Effects of age, baseline performance, and training gains. Developmental Psychology, 50(1), 304–315.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Education, University of CaliforniaIrvineUSA
  2. 2.MIND Research InstituteIrvineUSA

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