Скачать или смотреть Brain Training State of Play - Brain Network Modularity 2

Brain network modularity is an individual biomarker for effective, far transfer brain training:

“We propose that a key organizing principle of brain networks - modularity - is a unifying biomarker of plasticity associated with interventions designed to enhance cognition.” (Gallen & D’Esposito, 2019)

Here I look at ways to increase brain modularity.

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Key references for this video:

(1) Gallen, C. L., & D’Esposito, M. (2019). Brain Modularity: A Biomarker of Intervention-Related Plasticity. Trends in Cognitive Sciences, 23(4), 293–304. https://doi.org/10.1016/j.tics.2019.0...

(2) A Triple Network Connectivity Study of Large-Scale Brain Systems in Cognitively Normal APOE4 Carriers. (n.d.). Retrieved 22 June 2020, from https://www.ncbi.nlm.nih.gov/pmc/arti...

(3) Betzel, R. F., Gu, S., Medaglia, J. D., Pasqualetti, F., & Bassett, D. S. (2016). Optimally controlling the human connectome: The role of network topology. Scientific Reports, 6. https://doi.org/10.1038/srep30770

(4) Ben Simon, E., Maron‐Katz, A., Lahav, N., Shamir, R., & Hendler, T. (2017). Tired and misconnected: A breakdown of brain modularity following sleep deprivation. Human Brain Mapping, 38(6), 3300–3314. https://doi.org/10.1002/hbm.23596

(5) Stevens, A. A., Tappon, S. C., Garg, A., & Fair, D. A. (2012). Functional Brain Network Modularity Captures Inter- and Intra-Individual Variation in Working Memory Capacity. PLoS ONE, 7(1). https://doi.org/10.1371/journal.pone....

(6) deBettencourt, M. T., Cohen, J. D., Lee, R. F., Norman, K. A., & Turk-Browne, N. B. (2015). Closed-loop training of attention with real-time brain imaging. Nature Neuroscience, 18(3), 470–475. https://doi.org/10.1038/nn.3940

(7) Jao, T., Li, C.-W., Vértes, P. E., Wu, C. W., Achard, S., Hsieh, C.-H., Liou, C.-H., Chen, J.-H., & Bullmore, E. T. (2016). Large-Scale Functional Brain Network Reorganization During Taoist Meditation. Brain Connectivity, 6(1), 9–24. https://doi.org/10.1089/brain.2014.0318

(8) Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y.-Y., Weber, J., & Kober, H. (2011). Meditation experience is associated with differences in default mode network activity and connectivity. Proceedings of the National Academy of Sciences of the United States of America, 108(50), 20254–20259. https://doi.org/10.1073/pnas.1112029108

(9) Tang, Y. Y., Lu, Q., Feng, H., Tang, R., & Posner, M. I. (2015). Short-term meditation increases blood flow in anterior cingulate cortex and insula. Frontiers in psychology, 6, 212. https://doi.org/10.3389/fpsyg.2015.00212