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Lumosity의 과학

근거 기반 두뇌 훈련 및 인지 평가, 독특한 실질 통찰력

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동료 검토 논문
1.5백만+
연구 참가자
100개 이상
연구 협력
Lumosity의 과학

협력 기관

세계적인 대학교의 연구자들이 Lumosity 소프트웨어와 비식별 데이터를 이용한 연구를 발표했습니다.

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

과학 자문 위원회

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

주요 연구 연구

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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연구 아카이브 완료

  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