Brain imaging of a gamified cognitive flexibility task in young and older adults-Reference-Cited by-同舟云学术

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Brain imaging of a gamified cognitive flexibility task in young and older adults

Published:2024-04-17 Issue:4 Volume:18 Page:902-912
ISSN:1931-7565
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Wang Ping,Guo Sheng-Ju,Li Hui-Jie

Funder

China Postdoctoral Science Foundation

Postdoctoral Fellowship Program of CPSF

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11682-024-00883-w.pdf

Reference65 articles.

1. Abraham, A., Pedregosa, F., Eickenberg, M., Gervais, P., Mueller, A., Kossaifi, J., Gramfort, A., Thirion, B., & Varoquaux, G. (2014). Machine learning for neuroirnaging with scikit-learn. Frontiers in Neuroinformatics, 8, 14. https://doi.org/10.3389/fninf.2014.00014.

2. Armbruster-Genc, D. J. N., Ueltzhoefer, K., & Fiebach, C. J. (2016). Brain signal variability differentially affects cognitive flexibility and cognitive stability. Journal of Neuroscience, 36(14), 3978–3987. https://doi.org/10.1523/jneurosci.2517-14.2016.

3. Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004). Inhibition and the right inferior frontal cortex. Trends in Cognitive Sciences, 8(4), 170–177. https://doi.org/10.1016/j.tics.2004.02.010.

4. Asunta, P., Viholainen, H., Ahonen, T., & Rintala, P. (2019). Psychometric properties of observational tools for identifying motor difficulties: A systematic review. BMC Pediatrics, 19(1), 322. https://doi.org/10.1186/s12887-019-1657-6.

5. Baez-Lugo, S., Deza-Araujo, Y. I., Maradan, C., Collette, F., Lutz, A., Marchant, N. L., Chételat, G., Vuilleumier, P., Klimecki, O., & Medit-Ageing Research Group. (2023). Exposure to negative socio-emotional events induces sustained alteration of resting-state brain networks in older adults. Nature Aging, 3(1), 105–120. https://doi.org/10.1038/s43587-022-00341-6.

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