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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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In the citing paper
“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]
The cited source says what the claim attributes to it.
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]
The cited source says what the claim attributes to it.
In the citing paper
“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
Research works printed but not linked: 1
- Greenberg, L. M. T.O.V.A. Continuous Performance Test Manual. (The TOVA company, 1996)
Cited by
Sorted by citations
Items 601–700 of 999
Szturm, T. J., Sakhalkar, V., Kanitkar, A., & Nankar, M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00105 · Cited by 20
Kononova, A. G., Joshi, P., & Cotten, S. R. (2019) · Innovation in Aging · doi:10.1093/geroni/igz029 · Cited by 20
Karbach, J., & Kray, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-39292-5_14 · Cited by 20
Lin, Y.-H., Mao, H., Lin, K. N., Tang, Y. L., Yang, C.-L., & Chou, J.-J. (2020) · IEEE Access · doi:10.1109/access.2020.3041017 · Cited by 21
Aliakbaryhosseinabadi, S., Lontis, R., Farina, D., & Mrachacz‐Kersting, N. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102447 · Cited by 20
Biochemical Correlates of Video Game Use: From Physiology to Pathology. A Narrative Review
Carpita, B., Muti, D., Nardi, B., Benedetti, F., Cappelli, A., Cremone, I. M., Carmassi, C., & Dell’Osso, L. (2021) · Life · doi:10.3390/life11080775 · Cited by 20
Sato, K., Ochi, A., Watanabe, K., & Yamada, K. (2023) · Aging Clinical and Experimental Research · doi:10.1007/s40520-023-02374-2 · Cited by 20
Shadpour, S., Shafqat, A., Toy, S., Jing, Z., Attwood, K. M., Moussavi, Z., & Shafiei, S. B. (2023) · npj Aging · doi:10.1038/s41514-023-00119-z · Cited by 23
Effects of Cognitive Speed of Processing Training Among Older Adults With Heart Failure
Ellis, M. L., Edwards, J. D., Peterson, L. J., Roker, R., & Athilingam, P. R. (2014) · Journal of Aging and Health · doi:10.1177/0898264314525666 · Cited by 20
THE RELATIONSHIP BETWEEN MEDIA MULTITASKING, WORKING MEMORY AND SUSTAINED ATTENTION
İmren, M., & Tekman, H. G. (2019) · Uludağ Üniversitesi Fen Edebiyat Fakültesi Sosyal Bilimler Dergisi · doi:10.21550/sosbilder.487649 · Cited by 22
Engelhard, M., & Kollins, S. H. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1077-1 · Cited by 21
Neuroeducation: Teaching with the brain
Rueda, M. R. (2020) · Journal of Neuroeducation · doi:10.1344/joned.v1i1.31657 · Cited by 21
Ferreira-Brito, F., Ribeiro, F., de Sousa, D. A., Costa, J. N., Caneiras, C. S. G., Carriço, L. M., & Verdelho, A. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210545 · Cited by 20
MindMusic: Playful and Social Installations at the Interface Between Music and the Brain
Mullen, T. R., Khalil, A. K., Ward, T. E., Iversen, J. R., Leslie, G. A., Warp, R., Whitman, M., Minces, V. H., McCoy, A., Ojeda, A., et al. (2015) · Gaming media and social effects · doi:10.1007/978-981-287-546-4_9 · Cited by 20
Digital technologies for cognitive assessment to accelerate drug development in Alzheimer's disease
Leurent, C., & Ehlers, M. (2015) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.212 · Cited by 20
Nagle, A., Riener, R., & Wolf, P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01774 · Cited by 21
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Peng, C., Wang, D., Zhang, Y., & Xiao, J. (2019) · IEEE Access · doi:10.1109/access.2019.2918846 · Cited by 21
D’Esposito, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00141-8 · Cited by 20
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Zhang, H., Shen, Z., Liu, S., Yuan, D., & Miao, C. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1870826 · Cited by 19
Detecting patterns of engagement in a digital cognitive skills training game
Ober, T. M., Brenner, C. J., Olsen, A. F., Homer, B. D., & Plass, J. L. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104144 · Cited by 24
Azizi, E., Fielding, J., & Abel, L. A. (2022) · Journal of Eye Movement Research · doi:10.16910/jemr.15.1.6 · Cited by 19
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Manchanda, N., Aggarwal, A., Setya, S., & Talegaonkar, S. (2022) · Current Alzheimer Research · doi:10.2174/1567205020666230206124155 · Cited by 20
Zelinski, E. M., Peters, K. D., Hindin, S. B., Petway, K. T., & Kennison, R. F. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00617 · Cited by 22
Do-It-Yourself Gamified Cognitive Training: Viewpoint
van de Weijer, S. C. F., Kuijf, M. L., de Vries, N. M., Bloem, B. R., & Duits, A. (2019) · JMIR Serious Games · doi:10.2196/12130 · Cited by 19
Arce, E., Balice‐Gordon, R. J., Duvvuri, S., Naylor, M., Xie, Z., Harel, B., Kozak, R., Gray, D. L., & DeMartinis, N. A. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119855302 · Cited by 18
Simon, S. S., Castellani, M., Belleville, S., Dwolatzky, T., Hampstead, B. M., & Bahar‐Fuchs, A. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12024 · Cited by 21
A Solution for the Remote Care of Frail Elderly Individuals via Exergames
Trombini, M., Ferraro, F., Morando, M., Regesta, G., & Dellepiane, S. (2021) · Sensors · doi:10.3390/s21082719 · Cited by 20
Neuropsychological Constructs in Gaming Disorders: a Systematic Review
Legault, M. C. B., Liu, H. Z., & Balodis, I. M. (2021) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-021-00230-z · Cited by 18
A Survey of Cognitive Assistants
Costa, Â., Nováis, P., & Julián, V. (2017) · Intelligent systems reference library · doi:10.1007/978-3-319-62530-0_1 · Cited by 18
Shalu, Verma, N., Dev, K., Bhardwaj, A. B., & Kumar, K. (2025) · Annals of Neurosciences · doi:10.1177/09727531251359872 · Cited by 28
Tang, Y., Zhu, Z., Liu, Q., Li, F., Yang, J., Li, F., Xing, Y., & Jia, J. (2016) · Trials · doi:10.1186/s13063-016-1523-x · Cited by 17
Cognitive Enhancement via Neuromodulation and Video Games: Synergistic Effects?
Palaus, M., Viejo-Sobera, R., Redolar-Ripoll, E., & Marrón, E. M. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00235 · Cited by 18
A decision-neuroscientific intervention to improve cognitive recovery after stroke
Studer, B., Timm, A., Sahakian, B. J., Kalenscher, T., & Knecht, S. (2021) · Brain · doi:10.1093/brain/awab128 · Cited by 22
Grounded Theory of Accessible Game Development
Kulik, J., Beeston, J., & Cairns, P. A. (2021) · International Conference on the Foundations of Digital Games (FDG) · doi:10.1145/3472538.3472567 · Cited by 20
Does Preoperative Cognitive Optimization Improve Postoperative Outcomes in the Elderly?
Ishizawa, Y. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11020445 · Cited by 18
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Zanto, T. P., Johnson, V., Ostrand, A. E., & Gazzaley, A. H. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201655119 · Cited by 27
Self-citationCheung, M., Lee, T., Sze, S. L., & Chan, A. S.-Y. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1095111 · Cited by 19
Factors for optimizing intervention programs for cognition in older adults: the value of exergames
Perrot, A., & Maillot, P. (2023) · npj Aging · doi:10.1038/s41514-023-00103-7 · Cited by 19
Nandi, B., Ostrand, A. E., Johnson, V., Ford, T. J., Gazzaley, A. H., & Zanto, T. P. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0220-22.2023 · Cited by 19
Self-citationMehla, J., Deibel, S. H., Karem, H., Hong, N. S., Hossain, S. R., Lacoursiere, S. G., Sutherland, R. J., Mohajerani, M. H., & McDonald, R. J. (2023) · Communications Biology · doi:10.1038/s42003-023-05506-6 · Cited by 18
Keebler, J. R., Jentsch, F. G., & Schuster, D. M. (2014) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814535248 · Cited by 18
Ballesteros, S., Mayas, J., Ruiz-Marquez, E., Prieto, A., Toril, P., Romero, L. P. D. L., CEBALLOS, M. L. D., & Avilés, J. M. R. (2017) · JMIR Research Protocols · doi:10.2196/resprot.6570 · Cited by 19
Experience of designing and deploying a tablet game for people with dementia
Westphal, B. J., Lee, H., Cheung, N. M., Teo, C. G., & Leong, W. K. (2017) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/3152771.3152775 · Cited by 18
Micoulaud‐Franchi, J., Batail, J.-M. V., Fovet, T., Philip, P., Cermolacce, M., Jaumard‐Hakoun, A., & Vialatte, F. (2019) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-019-09440-4 · Cited by 24
Wang, S., Zhang, J., Feng, F., Qian, X., Jiang, L., Huang, J., Liu, B., Li, J., Xia, Y., & Feng, P. (2019) · IEEE Access · doi:10.1109/access.2019.2926515 · Cited by 18
Forman, E. M., Manasse, S. M., Dallal, D. H., Crochiere, R. J., Berry, M. P., Butryn, M. L., & Juarascio, A. S. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibaa091 · Cited by 18
Sustained benefits of cognitive training in children with inattention, three-year follow-up
Jurigova, B. G., Gerdes, M. R., Anguera, J. A., & Marco, E. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246449 · Cited by 19
Self-citationPast Our Prime: A Study of Age and Play Style Development in Battlefield 3
Tekofsky, S., Spronck, P. H. M., Goudbeek, M. B., Plaat, A., & van den Herik, H. J. (2015) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2015.2393433 · Cited by 22
McLaughlin, P. M., Curtis, A. F., Branscombe-Caird, L. M., Comrie, J., & Murtha, S. J. E. (2017) · Games for Health Journal · doi:10.1089/g4h.2017.0032 · Cited by 19
(2013) · Journal of Modern Science · doi:10.13166/joms.issn.1734-2031 · Cited by 18
Multisensory Facilitation of Working Memory Training
Pahor, A., Collins, C., Smith-Peirce, R. N., Moon, A., Stavropoulos, T., Silva, I., Peng, E., Jaeggi, S. M., & Seitz, A. R. (2021) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00196-y · Cited by 17
Fasoli, M., Cassinadri, G., & Ienca, M. (2025) · Journal of Cognitive Enhancement · doi:10.1007/s41465-025-00331-7 · Cited by 26
Gkintoni, E., Sortwell, A., Vassilopoulos, S. P., & Nikolaou, G. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti10010005 · Cited by 26
Aging Modulates Prefrontal Plasticity Induced by Executive Control Training
Najberg, H., Wachtl, L., Anziano, M., Mouthon, M., & Spierer, L. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa259 · Cited by 18
EEG Cortical Activities and Networks Altered by Watching 2D/3D Virtual Reality Videos
Xu, X., & Li, S. (2021) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000278 · Cited by 17
Beier, F., Löffler, M., Nees, F., Hausner, L., Frölich, L., & Flor, H. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02293-9 · Cited by 17
Transfer effects of abacus training on cognition
Lu, Y., Li, M.-Y., Cui, Z.-Q., Wang, L., Hu, Y., & Zhou, X.-L. (2021) · Current Psychology · doi:10.1007/s12144-021-01968-1 · Cited by 11
A Preference-Driven Smart Home Service for the Elderly’s Biophilic Experience
Lee, E. J., & Park, S.-J. (2021) · Sensors · doi:10.3390/s21155108 · Cited by 19
Chenot, Q., Hamery, C., Lepron, E., Besson, P., Boissezon, X. D., Perrey, S., & Scannella, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-08545-x · Cited by 17
Flores-Gallegos, R., & Mayer, R. E. (2022) · Journal of Cognitive Enhancement · doi:10.1007/s41465-022-00253-8 · Cited by 23
Reduced posterior parietal cortex activation after training on a visual search task
Bueichekú, E., Miró‐Padilla, A., Palomar‐García, M., Ventura‐Campos, N., Parcet, M. A., Barrós‐Loscertales, A., & Ávila, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.059 · Cited by 17
van de Weijer, S. C. F., Duits, A., Bloem, B. R., Kessels, R. P. C., Jansen, J. F. A., Köhler, S., Tissingh, G., & Kuijf, M. L. (2016) · BMC Neurology · doi:10.1186/s12883-016-0731-z · Cited by 17
Enhancing Intelligence: From the Group to the Individual
Colom, R., & Román, F. J. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6010011 · Cited by 18
Thalamic morphometric changes induced by first‐person action videogame training
Momi, D., Smeralda, C. L., Sprugnoli, G., Neri, F., Rossi, S., Rossi, A., Lorenzo, G. D., & Santarnecchi, E. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14272 · Cited by 18
Flynn, R. M., Colon-Acosta, N., Zhou, J., & Bower, J. D. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-03881-w · Cited by 17
Brandes-Aitken, A. N., Anguera, J. A., Chang, Y.-S., Demopoulos, C., Owen, J. P., Gazzaley, A. H., Mukherjee, P., & Marco, E. J. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00065 · Cited by 15
Self-citationComputerized tabletop games as a form of a video game training for old-old
Cujzek, M., & Vranić, A. (2016) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2016.1246649 · Cited by 21
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Plummer, J. P., Schuster, D. M., & Keebler, J. R. (2017) · Ergonomics · doi:10.1080/00140139.2017.1280187 · Cited by 20
Schutter, B. D. (2017) · International Journal of Gaming and Computer-Mediated Simulations · doi:10.4018/ijgcms.2017010103 · Cited by 17
Rojas, M. D. C., Bygholm, A., & Hansen, T. G. B. (2018) · Educational Gerontology · doi:10.1080/03601277.2018.1433485 · Cited by 19
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Chu, S. L., Garcia, B., Quance, T., Geraci, L. D., Woltering, S., & Quek, F. K. H. (2016) · doi:10.1145/2996267.2996270 · Cited by 19
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Yu, X., Ang, S., & Zhang, Y. (2023) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbad195 · Cited by 17
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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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