Video game training enhances cognitive control in older adults
J A Anguera, J Boccanfuso, J L Rintoul, O Al-Hashimi, F Faraji, J Janowich, E Kong, Y Larraburo, C Rolle, E Johnston, A Gazzaley, J A Anguera, J Boccanfuso, J L Rintoul, O Al-Hashimi, F Faraji, J Janowich, E Kong, Y Larraburo, C Rolle, E Johnston, A Gazzaley
Abstract
Cognitive control is defined by a set of neural processes that allow us to interact with our complex environment in a goal-directed manner. Humans regularly challenge these control processes when attempting to simultaneously accomplish multiple goals (multitasking), generating interference as the result of fundamental information processing limitations. It is clear that multitasking behaviour has become ubiquitous in today's technologically dense world, and substantial evidence has accrued regarding multitasking difficulties and cognitive control deficits in our ageing population. Here we show that multitasking performance, as assessed with a custom-designed three-dimensional video game (NeuroRacer), exhibits a linear age-related decline from 20 to 79 years of age. By playing an adaptive version of NeuroRacer in multitasking training mode, older adults (60 to 85 years old) reduced multitasking costs compared to both an active control group and a no-contact control group, attaining levels beyond those achieved by untrained 20-year-old participants, with gains persisting for 6 months. Furthermore, age-related deficits in neural signatures of cognitive control, as measured with electroencephalography, were remediated by multitasking training (enhanced midline frontal theta power and frontal-posterior theta coherence). Critically, this training resulted in performance benefits that extended to untrained cognitive control abilities (enhanced sustained attention and working memory), with an increase in midline frontal theta power predicting the training-induced boost in sustained attention and preservation of multitasking improvement 6 months later. These findings highlight the robust plasticity of the prefrontal cognitive control system in the ageing brain, and provide the first evidence, to our knowledge, of how a custom-designed video game can be used to assess cognitive abilities across the lifespan, evaluate underlying neural mechanisms, and serve as a powerful tool for cognitive enhancement.
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References
- Botvinick MM, Braver TS, Barch DM, Carter CS, Cohen JD. Conflict monitoring and cognitive control. Psychol Rev. 2001;108:624–652.
- Dux PE, et al. Training improves multitasking performance by increasing the speed of information processing in human prefrontal cortex. Neuron. 2009;63:127–138.
- Foehr UG. Media multitasking among American youth: prevalence, predictors, and pairings. The Henry J. Kaiser Family Foundation; 2006.
- Gazzaley A. Top-down modulation and cognitive aging. 2nd edn 2013.
- Tucker-Drob EM, Salthouse TA. Adult age trends in the relations among cognitive abilities. Psychol Aging. 2008;23:453–460.
- Park DC, et al. Models of visuospatial and verbal memory across the adult life span. Psychol Aging. 2002;17:299–320.
- Clapp WC, Rubens MT, Sabharwal J, Gazzaley A. Deficit in switching between functional brain networks underlies the impact of multitasking on working memory in older adults. Proc Natl Acad Sci U S A. 2011;108:7212–7217.
- Verhaeghen P, Steitz DW, Sliwinski MJ, Cerella J. Aging and dual-task performance: a meta-analysis. Psychol Aging. 2003;18:443–460.
- Erickson KI, et al. Training-induced plasticity in older adults: effects of training on hemispheric asymmetry. Neurobiol Aging. 2007;28:272–283.
- Lussier M, Gagnon C, Bherer L. An investigation of response and stimulus modality transfer effects after dual-task training in younger and older. Front Hum Neurosci. 2012;6:129.
- Zelinski EM. Far transfer in cognitive training of older adults. Restor Neurol Neurosci. 2009;27:455–471.
- Gazzaley A, Cooney JW, Rissman J, D'Esposito M. Top-down suppression deficit underlies working memory impairment in normal aging. Nat Neurosci. 2005;8:1298–1300.
- Greenberg LM. T.O.V.A. continuous performance test manual. 1996.
- Onton J, Delorme A, Makeig S. Frontal midline EEG dynamics during working memory. Neuroimage. 2005;27:341–356.
- Sauseng P, Hoppe J, Klimesch W, Gerloff C, Hummel FC. Dissociation of sustained attention from central executive functions: local activity and interregional connectivity in the theta range. Eur J Neurosci. 2007;25:587–593.
- Nigbur R, Ivanova G, Sturmer B. Theta power as a marker for cognitive interference. Clin Neurophysiol. 2011;122:2185–2194.
- Dahlin E, Nyberg L, Backman L, Neely AS. Plasticity of executive functioning in young and older adults: immediate training gains, transfer, and long-term maintenance. Psychol Aging. 2008;23:720–730.
- Mitchell DJ, McNaughton N, Flanagan D, Kirk IJ. Frontal-midline theta from the perspective of hippocampal"theta". Prog Neurobiol. 2008;86:156–185.
- Buckner RL, Andrews-Hanna JR, Schacter DL. The brain's default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 2008;1124:1–38.
- Grady CL, Springer MV, Hongwanishkul D, McIntosh AR, Winocur G. Age-related changes in brain activity across the adult lifespan. J Cogn Neurosci. 2006;18:227–241.
- Scheeringa R, et al. Frontal theta EEG activity correlates negatively with the default mode network in resting state. Int J Psychophysiol. 2008;67:242–251.
- Damoiseaux JS, et al. Reduced resting-state brain activity in the"default network" in normal aging. Cereb Cortex. 2008;18:1856–1864.
- Strobach T, Frensch PA, Schubert T. Video game practice optimizes executive control skills in dual-task and task switching situations. Acta Psychol (Amst) 2012;140:13–24.
- Boot WR, Kramer AF, Simons DJ, Fabiani M, Gratton G. The effects of video game playing on attention, memory, and executive control. Acta Psychol (Amst) 2008;129:387–398.
- Dye MW, Green CS, Bavelier D. Increasing Speed of Processing With Action Video Games. Curr Dir Psychol Sci. 2009;18:321–326.
- Berry AS, et al. The influence of perceptual training on working memory in older adults. PLoS One. 2010;5:e11537.
- Smith GE, et al. A cognitive training program based on principles of brain plasticity: results from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) study. J Am Geriatr Soc. 2009;57:594–603.
- Wolinsky F, Vander Weg M, Howren M, Jones M, Dotson M. A Randomized Controlled Trial of Cognitive Training Using a Visual Speed of Processing Intervention in Middle Aged and Older Adults. PLoS One. 2013;8
- Ball K, et al. Effects of cognitive training interventions with older adults: a randomized controlled trial. JAMA. 2002;288:2271–2281.
- Owen AM, et al. Putting brain training to the test. Nature. 2010;465:775–778.
- Macmillan NA, Creelman CD. Detection Theory: A User's Guide. 2nd edn. Lawrence Erlbaum Associates; 2005.
- Knapp TR, Schafer WD. From Gain Score t to ANCOVA F (and vice versa) Practical Assessment, Research & Evaluation. 2009;14
- Jaeggi SM, Buschkuehl M, Jonides J, Perrig WJ. Improving fluid intelligence with training on working memory. Proc Natl Acad Sci U S A. 2008;105:6829–6833.
- Berry AS, Zanto TP, Rutman AM, Clapp WC, Gazzaley A. Practice-related improvement in working memory is modulated by changes in processing external interference. J Neurophysiol. 2009;102:1779–1789.
- Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004;134:9–21.
- Makeig S. Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. Electroencephalogr Clin Neurophysiol. 1993;86:283–293.
- Neuper C, Klimesch W. Event-Related Dynamics of Brain Oscillations. Elsevier Science; 2006)..
- Zanto TP, Toy B, Gazzaley A. Delays in neural processing during working memory encoding in normal aging. Neuropsychologia. 48:13–25.
- Gazzaley A, et al. Age-related top-down suppression deficit in the early stages of cortical visual memory processing. Proc Natl Acad Sci U S A. 2008;105:13122–13126.
- Bruns A. Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches? J Neurosci Methods. 2004;137:321–332.
- Berens P. CircStat: A MATLAB Toolbox for Circular Statistics. Journal of Statistical Software. 2009;31:1–21.
- Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd edn. Lawrence Erlbaum Associates; 1988.
- Hedges LV, Olkin I. Statistical methods for meta-analysis. Academic Press; 1985.
Source: PubMed