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Video game training enhances cognitive control in older adults
Open accessAbstract
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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“Playing action video games improved memory and attention in older adults (Anguera et al., 2013).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Anguera et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Engaging with digital technology, particularly brain-training apps and interactive games, has been found to have positive effects on cognitive abilities in older adults as well (Anguera et al., 2013).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Anguera et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Moreover, the multitasking training improved other cognitive skills, including working memory and divided and sustained attention.”
From Brain health consequences of digital technology use (2020) · cites this paper as [49]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These tools improved spatial reasoning and cognitive flexibility, especially in older adults.”
From Cognitive benefits and risks of digital technology engagement (2025) · cites this paper as [15]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“recent evidence demonstrated that older adults who experienced cognitive gains after video game training also showed more efficient neural function through enhancement of electroencephalography (EEG) signal in regions associated with cognitive control (Anguera et al., 2013).”
From Training Older Adults to Use Tablet Computers: Does It Enhance Cognitive Function? (2016) · cites this paper as Anguera et al., 2013
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In the citing paper
“Only the multitasking training group showed significant improvements in performance scores, which not only exceeded that of untrained individuals in their twenties but was maintained for 6 months without additional training.”
From Brain health consequences of digital technology use (2020) · cites this paper as [49]
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In the citing paper
“Out of 46 participants, 16 were trained in multitasking (both driving and sign reading), 15 in single-tasking mode (active controls; either sign reading or driving), and 15 received no training (no-contact controls).”
From Brain health consequences of digital technology use (2020) · cites this paper as [49]
The cited source says what the claim attributes to it.
In the citing paper
“Several studies demonstrated that digital technologies can enhance neuroplasticity, particularly through structured interventions like video game training [15].”
From Cognitive benefits and risks of digital technology engagement (2025) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“For instance, action video games improve spatial reasoning in older adults [15] by leveraging neuroplasticity [19].”
From Cognitive benefits and risks of digital technology engagement (2025) · cites this paper as [15]
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“Aging and Neuroplasticity: Video game training enhances cognitive control in older adults [15], supported by multimedia designs that reduce cognitive load and document literacy skills that improve information integration, challenging the notion of rigid brain aging and showcasing technology’s potential to sustain cognitive flexibility.”
From Cognitive benefits and risks of digital technology engagement (2025) · cites this paper as [15]
In the citing paper
“The cognitive control and attention systems evaluated in these studies are similar to the deficits observed in paediatric patients with ADHD.18,19”
From A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial (2020) · cites this paper as [18]
In the citing paper
“The digital intervention improved cognitive performance and these changes were associated with functional electroen cephalogram (EEG) changes in the prefrontal cortex.”
From A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial (2020) · cites this paper as [18]
In the citing paper
“The current study findings of improved attention (via TOVA API) following treatment with AKL-T01 are consistent with benefits reported in previous uncontrolled studies.18,20”
From A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial (2020) · cites this paper as [18]
In the citing paper
“Improvements in multi-tasking were maintained in the treatment group after 6 months of no treatment, and this maintenance effect also correlated with the same EEG-based neurological changes.”
From Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD (2018) · cites this paper as [23]
In the citing paper
“Gazzaley and colleagues identified a critical neural process underlying cognitive control ability, and demonstrated that a game-like cognitive intervention built to specifically target this system can achieve cognitive remediation [22, 23].”
From Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD (2018) · cites this paper as [23]
In the citing paper
“they showed that changes in EEG signals occurred at neurological loci associated with cognitive control after completing the prescribed therapeutic regimen.”
From Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD (2018) · cites this paper as [23]
In the citing paper
“Results of the study indicated that interference susceptibility was reduced and demonstrated that cognitive benefits transferred to performance on untrained tests of attention, impulsivity, and multitasking [23].”
From Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD (2018) · cites this paper as [23]
In the citing paper
“Project: EVO (EVO) is a digital treatment based on the Neuroracer model that deploys the interference-based cognitive control-targeting mechanics in a high-quality action video game-like interface.”
From Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD (2018) · cites this paper as [23]
In the citing paper
“Video games without exercise have been shown to improve executive and cognitive control, and selective attention in older adults. (Anguera, Boccanfuso, Rintoul, Al-Hashimi, Faraji, Janowich, Kong, Larraburo, Rolle, Johnston, and Gazzaley 2013;Basak, Boot, Voss, and Kramer 2008;Belchior, Marsiske, Sisco, Yam, and Mann 2012)”
From Successful aging: Advancing the science of physical independence in older adults (2015) · cites this paper as Anguera, Boccanfuso, Rintoul, Al-Hashimi, Faraji, Janowich, Kong, Larraburo, Rolle, Johnston, and Gazzaley 2013
In the citing paper
“Boosted by the publication of a Nature letter showing that video game training can enhance cognitive control in older adults (343), SG specifically adapted to people with AD have been developed and employed to train physical and cognitive abilities, showing preliminary but encouraging results (341, 344–348).”
From The Multidisciplinary Approach to Alzheimer’s Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment (2018) · cites this paper as [343]
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Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
(1992) · PubMed · Cited by 33,716
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
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- Greenberg, L. M. T.O.V.A. Continuous Performance Test Manual. (The TOVA company, 1996)
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Sorted by citations
Items 101–200 of 999
Mewborn, C. M., Lindbergh, C. A., & Miller, L. S. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9350-8 · Cited by 158
Gold, M., Amatniek, J. C., Carrillo, M. C., Cedarbaum, J. M., Hendrix, J. A., Miller, B. B., Robillard, J. M., Rice, J. J., Soares, H. D., Tome, M. B., et al. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.04.003 · Cited by 146
Video Game Training Enhances Visuospatial Working Memory and Episodic Memory in Older Adults
Toril, P., Avilés, J. M. R., Mayas, J., & Ballesteros, S. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00206 · Cited by 145
Sachs, M. E., Kaplan, J., Sarkissian, A. D., & Habibi, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187254 · Cited by 153
Yuan, K., Yu, D., Cai, C., Feng, D., Li, Y., Bi, Y., Liu, J., Zhang, Y., Jin, C., Li, L., et al. (2017) · Addiction Biology · doi:10.1111/adb.12348 · Cited by 153
Zanto, T. P., & Gazzaley, A. H. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00020-3 · Cited by 147
Self-citationAdaptive Training Diminishes Distractibility in Aging across Species
Mishra, J., de Villers‐Sidani, E., Merzenich, M. M., & Gazzaley, A. H. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.034 · Cited by 134
Self-citationA new look at the cognitive neuroscience of video game play
Dale, G., Joessel, A., Bavelier, D., & Green, C. S. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14295 · Cited by 140
Cognitive training enhances intrinsic brain connectivity in childhood
Astle, D. E., Barnes, J. J., Baker, K., Colclough, G. L., & Woolrich, M. W. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4517-14.2015 · Cited by 123
A Serious Game for Clinical Assessment of Cognitive Status: Validation Study
Tong, T., Chignell, M., Tierney, M. C., & Lee, J. (2016) · JMIR Serious Games · doi:10.2196/games.5006 · Cited by 132
Gene-Environment Interactions: Lifetime Cognitive Activity, APOE Genotype, and Beta-Amyloid Burden
Wirth, M., Villeneuve, S., Joie, R. L., Marks, S. M., & Jagust, W. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4612-13.2014 · Cited by 139
Life-long music practice and executive control in older adults: An event-related potential study
Moussard, A., Bermudez, P., Alain, C., Tays, W. J., & Moreno, S. (2016) · Brain Research · doi:10.1016/j.brainres.2016.03.028 · Cited by 139
Choi, E., Shin, S.-H., Ryu, J.-K., Jung, K.-I., Kim, S.-Y., & Park, M.-H. (2020) · Behavioral and Brain Functions · doi:10.1186/s12993-020-0165-z · Cited by 141
Video games, cognitive exercises, and the enhancement of cognitive abilities
Anguera, J. A., & Gazzaley, A. H. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.06.002 · Cited by 140
Self-citationRational metareasoning and the plasticity of cognitive control
Lieder, F., Shenhav, A., Musslick, S., & Griffiths, T. L. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006043 · Cited by 136
Kang, J. M., Kim, N., Lee, S. Y., Woo, S. K., Park, G., Yeon, B. K., Park, J. W., Youn, J. H., Ryu, S., Lee, J., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/24526 · Cited by 138
Mechanisms underlying training-induced cognitive change
von Bastian, C. C., Belleville, S., Udale, R. C., Reinhartz, A., Essounni, M., & Strobach, T. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-021-00001-3 · Cited by 147
Kable, J. W., Caulfield, M. K., Falcone, M., McConnell, M., Bernardo, L., Parthasarathi, T., Cooper, N., Ashare, R., Audrain-McGovern, J., Hornik, R., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2832-16.2017 · Cited by 124
Virtual reality experiences, embodiment, videogames and their dimensions in neurorehabilitation
Pérez-Marcos, D. (2018) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-018-0461-0 · Cited by 141
On the validity and generality of transfer effects in cognitive training research
Noack, H., Lövdén, M., & Schmiedek, F. (2014) · Psychological Research · doi:10.1007/s00426-014-0564-6 · Cited by 140
Different cognitive abilities displayed by action video gamers and non-gamers
Kowal, M., Toth, A. J., Exton, C., & Campbell, M. J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.010 · Cited by 126
Basak, C., Qin, S., & O'Connell, M. A. (2020) · Psychology and Aging · doi:10.1037/pag0000442 · Cited by 138
Yao, Y., Chen, P., Li, C. R., Hare, T. A., Li, S., Zhang, J., Liu, L., Ma, S., & Fang, X. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.038 · Cited by 141
Barcelos, N. M., Shah, N., Cohen, K., Hogan, M., Mulkerrin, E. C., Arciero, P. J., Cohen, B. D., Kramer, A. F., & Anderson‐Hanley, C. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715001083 · Cited by 126
Pérez-Marcos, D., Chevalley, O., Schmidlin, T., Garipelli, G., Serino, A., Vuadens, P., Tadi, T., Blanke, O., & Millán, J. D. R. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0328-9 · Cited by 122
Anguera, J. A., Gunning, F. M., & Areán, P. A. (2017) · Depression and Anxiety · doi:10.1002/da.22588 · Cited by 116
Self-citationBest, J. R., Nagamatsu, L. S., & Liu-Ambrose, T. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00353 · Cited by 119
Music training and inhibitory control: A multidimensional model
Moreno, S., & Farzan, F. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12674 · Cited by 121
Reinhart, R. M. G., Zhu, J. X., Park, S., & Woodman, G. F. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504196112 · Cited by 123
Preventing dementia? Interventional approaches in mild cognitive impairment
Lissek, V. J., & Boris Suchan, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.022 · Cited by 127
Bahar‐Fuchs, A., Webb, S. L., Bartsch, L., Clare, L., Rebok, G. W., Cherbuin, N., & Anstey, K. J. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170404 · Cited by 113
Scholten, H., Malmberg, M., Lobel, A., Engels, R. C. M. E., & Granic, I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147763 · Cited by 116
Proof-of-concept study of an at-home, engaging, digital intervention for pediatric ADHD
Davis, N. O., Bower, J., & Kollins, S. H. (2018) · PLOS ONE · doi:10.1371/journal.pone.0189749 · Cited by 106
Rogala, J., Jurewicz, K., Paluch, K., Kublik, E., Cetnarski, R., & Wróbel, A. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00301 · Cited by 115
The mix matters: Complex personal networks relate to higher cognitive functioning in old age
Ellwardt, L., Van Tilburg, T. G., & Aartsen, M. J. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.05.007 · Cited by 117
Bauer, A. M., Thielke, S. M., Katon, W. J., Unützer, J., & Areán, P. A. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.06.017 · Cited by 113
Spiers, H. J., Coutrot, A., & Hornberger, M. (2021) · Topics in Cognitive Science · doi:10.1111/tops.12590 · Cited by 113
Finger, H., Bönstrup, M., Cheng, B., Messé, A., Hilgetag, C. C., Thomalla, G., Gerloff, C. P., & Peter König, B. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005025 · Cited by 109
Cognitive flexibility: A distinct element of performance impairment due to sleep deprivation
Honn, K. A., Hinson, J. M., Whitney, P. J., & Dongen, H. P. A. V. (2018) · Accident Analysis & Prevention · doi:10.1016/j.aap.2018.02.013 · Cited by 125
Hshieh, T. T., Jung, W. F., Grande, L. J., Chen, J., Stone, R. M., Soiffer, R. J., Driver, J. A., & Abel, G. A. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2017.5674 · Cited by 113
Cognitive Resources Moderate the Relationship Between Pro-Environmental Attitudes and Green Behavior
Langenbach, B. P., Berger, S., Baumgärtner, T., & Knoch, D. (2019) · Environment and Behavior · doi:10.1177/0013916519843127 · Cited by 134
Disruption and rescue of interareal theta phase coupling and adaptive behavior
Reinhart, R. M. G. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710257114 · Cited by 107
Kourtesis, P., Collina, S., Doumas, L. A. A., & MacPherson, S. E. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617720000764 · Cited by 124
Photobiomodulation improves the frontal cognitive function of older adults
Chan, A. S.-Y., Lee, T., Yeung, M. K.-C., & Hamblin, M. R. (2018) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5039 · Cited by 108
Frontoparietal theta-gamma interactions track working memory enhancement with training and tDCS
Jones, K. T., Johnson, E. L., & Berryhill, M. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116615 · Cited by 108
Gong, D., He, H., Liu, D., Ma, W., Dong, L., Luo, C., & Yao, D. (2015) · Scientific Reports · doi:10.1038/srep09763 · Cited by 115
Casutt, G., Theill, N., Martin, M., Keller, M., & Jäncke, L. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00085 · Cited by 116
Chapman, S. B., Aslan, S., Spence, J. S., Keebler, M. W., DeFina, L. F., Didehbani, N., Perez, A. M., Lu, H., & D’Esposito, M. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00338 · Cited by 109
Ferreira, N., Owen, A., Mohan, A., Corbett, A., & Ballard, C. (2015) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.4155 · Cited by 101
A usability study of a multicomponent video game-based training for older adults
Adcock, M., Sonder, F., Schättin, A., Gennaro, F., & de Bruin, E. D. (2020) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0233-2 · Cited by 106
Brain enhancement through cognitive training: a new insight from brain connectome
Taya, F., Sun, Y., Babiloni, F., Thakor, N. V., & Bezerianos, A. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00044 · Cited by 116
van Driel, J., Swart, J. C., Egner, T., Ridderinkhof, K. R., & Cohen, M. X. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0367-2 · Cited by 110
Deleuze, J., Christiaens, M., Nuyens, F., & Billieux, J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.027 · Cited by 110
Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control
Duprez, J., Gulbinaite, R., & Cohen, M. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116340 · Cited by 106
Effectiveness of a digital therapeutic as adjunct to treatment with medication in pediatric ADHD
Kollins, S. H., Childress, A. C., Heusser, A. C., & Lutz, J. G. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00429-0 · Cited by 111
Rieker, J. A., Avilés, J. M. R., Muiños, M., & Ballesteros, S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.838968 · Cited by 117
Improving high school students' executive functions through digital game play
Homer, B. D., Plass, J. L., Raffaele, C., Ober, T. M., & Ali, A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.09.011 · Cited by 112
A novel ecological account of prefrontal cortex functional development.
Werchan, D. M., & Amso, D. (2017) · Psychological Review · doi:10.1037/rev0000078 · Cited by 108
Closed-loop digital meditation improves sustained attention in young adults
Ziegler, D. A., Simon, A. J., Gallen, C. L., Skinner, S., Janowich, J. R., Volponi, J. J., Rolle, C. E., Mishra, J., Kornfield, J., Anguera, J. A., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0611-9 · Cited by 97
Self-citationVigilance Decrement and Enhancement Techniques: A Review
Al-Shargie, F., Tariq, U., Mir, H., Alawar, H., Babiloni, F., & Al-Nashash, H. A. (2019) · Brain Sciences · doi:10.3390/brainsci9080178 · Cited by 110
Brain plasticity and motor practice in cognitive aging
Cai, L., Chan, J. S. Y., Yan, J. H., & Peng, K. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00031 · Cited by 112
How to build better memory training games
Deveau, J., Jaeggi, S. M., Zordan, V. B., Phung, C., & Seitz, A. R. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00243 · Cited by 101
The impact of bilingualism on cognitive ageing and dementia
Bak, T. H. (2016) · Linguistic Approaches to Bilingualism · doi:10.1075/lab.15002.bak · Cited by 105
Emerging Technologies for Next Generation Remote Health Care and Assisted Living
Ahmad, I., Asghar, Z., Kumar, T., Li, G., Manzoor, A., Mikhaylov, K., Shah, S. A., Höyhtyä, M., Reponen, J., Huusko, J., et al. (2022) · IEEE Access · doi:10.1109/access.2022.3177278 · Cited by 107
Kalantari, S., Xu, T. B., Mostafavi, A., Lee, A., Barankevich, R., Boot, W. R., & Czaja, S. J. (2022) · Innovation in Aging · doi:10.1093/geroni/igac015 · Cited by 102
Perez, V. B., Tarasenko, M., Miyakoshi, M., Pianka, S. T., Makeig, S. D., Braff, D. L., Swerdlow, N. R., & Light, G. A. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.25 · Cited by 94
Computer-based cognitive training for executive functions after stroke: a systematic review.
van de Ven, R. M., Murre, J. M. J., Veltman, D. J., & Schmand, B. A. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00150 · Cited by 94
Shah, T., Verdile, G., Sohrabi, H., Campbell, A., Putland, E., Cheetham, C., Dhaliwal, S., Weinborn, M., Maruff, P., Darby, D., et al. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.122 · Cited by 94
Brzezicka, A., Kamiński, J., Reed, C. M., Chung, J. M., Mamelak, A. N., & Rutishauser, U. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01417 · Cited by 89
Virtual Reality as a Vehicle to Empower Motor-Cognitive Neurorehabilitation
Pérez-Marcos, D., Bieler-Aeschlimann, M., & Serino, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02120 · Cited by 100
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Chmielewski, W. X., Mückschel, M., Dippel, G., & Beste, C. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1137-1 · Cited by 94
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Self-citationA survey of video game preferences in adults: Building better games for older adults
Salmon, J. P., Dolan, S. M., Drake, R. S., Wilson, G. C., Klein, R. M., & Eskes, G. A. (2017) · Entertainment Computing · doi:10.1016/j.entcom.2017.04.006 · Cited by 84
Gong, D., He, H., Ma, W., Liu, D., Huang, M., Dong, L., Gong, J., Li, J., Luo, C., & Yao, D. (2016) · Neural Plasticity · doi:10.1155/2016/9803165 · Cited by 81
Kinsella, G., Ames, D. J., Storey, E., Ong, B., Pike, K. E., Saling, M. M., Clare, L., Mullaly, E., & Rand, E. H. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150378 · Cited by 82
Metadata
- Authors
- Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., Kong, E., Larraburo, Y., Rolle, C., Johnston, E., & Gazzaley, A.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Anguera, J. A.
- Gazzaley, A.
- Venue
- Nature
- Published
- 2013-09
- Volume
- 501
- Issue
- 7465
- Pages
- 97-101
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3983066
- OpenAlex
- W2078346039
- Cited by
- 1,666
- References
- 66
- Citations by year
- 2026: 75 · 2025: 123 · 2024: 109 · 2023: 96 · 2022: 113 · 2021: 145 · 2020: 145 · 2019: 177 · 2018: 143 · 2017: 152 · 2016: 135 · 2015: 124 · 2014: 108 · 2013: 18
- FWCI
- 173.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Aging (R01AG040333, L30 AG040556)
- National Institute of General Medical Sciences (T32GM008155)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- cognitive control, multitasking, video game training, older adults, cognitive aging, neuroplasticity, sustained attention, working memory, frontal theta power, prefrontal cortex, cognitive enhancement, age-related cognitive decline, transfer of training, EEG
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Automobile Driving, Brain, Cognition, Electroencephalography, Humans, Male, Memory, Short-Term, Middle Aged, Neuropsychological Tests, Psychomotor Performance, Theta Rhythm, Time Factors, Video Games, Biomedical Enhancement, Young Adult
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