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Die Wissenschaft hinter Lumosity

Evidenzbasierte Gehirntrainings und kognitive Bewertungen, einzigartige Einblicke in die reale Welt

130+
Von Fachleuten geprüfte Veröffentlichungen
1,5 Mio.+
Studienteilnehmer
100+
Forschungszusammenarbeiten
Die Wissenschaft hinter Lumosity

Kooperierende Institutionen

Forscher von Spitzenuniversitäten haben Studien unter Verwendung von Lumosity-Software und anonymisierten Daten veröffentlicht.

Harvard University
Stanford University
Johns Hopkins University
University of California, Berkeley
Columbia University
Georgetown University
Vanderbilt University

Wissenschaftlicher Beirat

Murali Doraiswamy, MBBS

Murali Doraiswamy, MBBS

Professor of Psychiatry and Medicine at Duke University

Robert Desimone, PhD

Robert Desimone, PhD

McGovern Institute Director and MIT Brain and Cognitive Sciences Professor

Ann Childress, PhD

Ann Childress, PhD

President of the Center for Psychiatry and Behavioral Medicine, Inc

Wichtige Forschungsstudien

Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial

Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial

Hardy et al. (2015) PLoS ONE 10(9):e0134467.

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Computerized cognitive training by healthy older and younger adults: Age comparisons of overall efficacy and selective effects on cognition

Computerized cognitive training by healthy older and younger adults: Age comparisons of overall efficacy and selective effects on cognition

Ng et al. (2021) Front Neurol 11:564317.

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Inferring latent learning factors in large-scale cognitive training data

Inferring latent learning factors in large-scale cognitive training data

Steyvers & Schafer (2020) Nat Hum Behav 4(11):1145-1155.

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Real-world effectiveness of a widely available digital health program in adults reporting a lifetime diagnosis of ADHD

Real-world effectiveness of a widely available digital health program in adults reporting a lifetime diagnosis of ADHD

Osman et al. (2025) Npj Ment Health Res 4(1):38.

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The largest human cognitive performance dataset reveals insights into the effects of lifestyle factors and aging

The largest human cognitive performance dataset reveals insights into the effects of lifestyle factors and aging

Sternberg et al. (2013) Front Hum Neurosci 7:292.

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Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset

Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset

Osman et al. (2023) PLoS ONE 18(5):e0281095.

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Forschungsarchiv abschließen

  1. Diedrich, L., Kolhoff, H. I., Bergmann, C., Bähr, M., & Antal, A. (2024). Boosting working memory in the elderly: driving prefrontal theta–gamma coupling via repeated neuromodulation. GeroScience, 1-16. doi: 10.1007/s11357-024-01272-3

  2. Diedrich, L., Kolhoff, H. I., Chakalov, I., Vékony, T., Németh, D., & Antal, A. (2024). Prefrontal theta—gamma transcranial alternating current stimulation improves non-declarative visuomotor learning in older adults. Scientific Reports, 14(1), 4955. doi: 10.1038/s41598-024-55125-2

  3. Ershadi Chahardeh, Sh., Seadatee Shamir, A., Zabihi, R. (2024). The Effectiveness of Lumosity-Based Cognitive Empowerment on Maher Fluid Intelligence and Cognitive Functions in Elementary School Boys. International Journal of Education and Cognitive Sciences, 5(3), 16-23. doi: 10.61838/kman.ijeas.5.3.3

  4. Flink, C. C., Hobohm, R. E., Zhang, B., Jacobson, D. L., & England, E. B. (2024). Effects of night-float shifts on cognitive function among radiology residents. Emergency Radiology, 1-7. doi: 10.1007/s10140-024-02269-3

  5. Gozdas, E., Avelar-Pereira, B., Fingerhut, H., Dacorro, L., Jo, B., Williams, L., ... & Hosseini, S. M. (2024). Long-term cognitive training enhances fluid cognition and brain connectivity in individuals with MCI. Translational Psychiatry, 14(1), 1-9. doi: 10.1038/s41398-024-03153-x