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Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D., Fernandes, H. M., Litvak, V., Kringelbach, M. L. & Deco, G. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. https://doi.org/10.1016/j.csbj.2022.11.060
Pegoraro, S., Veronelli, L., Frisco, F., Brattico, E., Romano, D., Daini, R. & Tosi, G. (2026). Effectiveness of Cognitive Interventions in Healthy Aging: A Systematic Review and Bayesian Meta-analysis. Neuroscience and Biobehavioral Reviews, 183, Article 106571. https://doi.org/10.1016/j.neubiorev.2026.106571
Brattico, E., Monitillo, V., Calabrese, S., Montrone, N., Nardulli, R., Multari, V. & Ambrosi, L. (2003). Effetti del rumore sui meccanismi corticali di elaborazione dei suoni linguistici. G Ital Med Lav Ergon, 25(2), 142-8.
Tervaniemi, M. & Brattico, E. (2004). From sounds to music - Towards understanding the neurocognition of musical sound perception. Journal of Consciousness Studies, 11(3-4), 9-27.
Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031
Jespersen, K. V., Pando-Naude, V., Koenig, J., Jennum, P. & Vuust, P. (2022). Listening to music for insomnia in adults. The Cochrane Database of Systematic Reviews, 8(8), Article CD010459. https://doi.org/10.1002/14651858.CD010459.pub3
Cook, P. F., Flem, S., Madsen, P. T., Ravignani, A., Gremore, P., Hood, C., Jadoul, Y., Papageorgiou, D., Pedersen, M., Raimondi, T., Rouse, A., Sørensen, P. M., Videsen, S. & King, S. L. (2026). Marine mammals as models for charting the evolution of social vocal rhythm. BMC Biology, 24(1), Article 175. https://doi.org/10.1186/s12915-026-02675-8
Hancock, F., Rosas, F. E., Luppi, A. I., Zhang, M., Mediano, P. A. M., Cabral, J., Deco, G., Kringelbach, M. L., Breakspear, M., Kelso, J. A. S. & Turkheimer, F. E. (2025). Metastability demystified — the foundational past, the pragmatic present and the promising future. Nature Reviews Neuroscience, 26(2), 82-100. Article e1000072. https://doi.org/10.1038/s41583-024-00883-1
Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5
Nartallo-Kaluarachchi, R., Kringelbach, M., Deco, G., Lambiotte, R. & Goriely, A. (2026). Nonequilibrium physics of brain dynamics. Physics Reports, 1152, 1-43. https://doi.org/10.1016/j.physrep.2025.10.003
Brattico, E. & Sassanelli, F. (2000). Perception and musical preferences in Wishart's work. Journal of New Music Research, 29(2), 107-119.
Nijhuis, P., Møller, C., Bamford, J. S. & Stupacher, J. (2026). Polyrhythm Perception and Production: A Scoping Review. Annals of the New York Academy of Sciences, 1561(1), Article e70330. https://doi.org/10.1111/nyas.70330
Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006
Jerotic, K., Vuust, P. & Kringelbach, M. L. (2024). Psychedelia: The interplay of music and psychedelics. Annals of the New York Academy of Sciences, 1531(1), 12-28. https://doi.org/10.1111/nyas.15082
McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G., Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022). Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses. Neuroscience and Biobehavioral Reviews, 138, Article 104689. https://doi.org/10.1016/j.neubiorev.2022.104689
Shinozuka, K., Jerotic, K., Mediano, P., Zhao, A. T., Preller, K. H., Carhart-Harris, R. & Kringelbach, M. L. (2024). Synergistic, multi-level understanding of psychedelics: three systematic reviews and meta-analyses of their pharmacology, neuroimaging and phenomenology. Translational Psychiatry, 14(1), Article 485. https://doi.org/10.1038/s41398-024-03187-1
Verga, L., Kotz, S. A. & Ravignani, A. (2023). The evolution of social timing. Physics of Life Reviews, 46, 131-151. https://doi.org/10.1016/j.plrev.2023.06.006
Brattico, E. & Pearce, M. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 48-61. https://doi.org/10.1037/a0031624
Kringelbach, M. L., Sanz Perl, Y. & Deco, G. (2024). The Thermodynamics of Mind. Trends in Cognitive Sciences, 28(6), 568-581. https://doi.org/10.1016/j.tics.2024.03.009
Deco, G., Perl, Y. S., Jerotic, K., Escrichs, A. & Kringelbach, M. L. (2025). Turbulence as a framework for brain dynamics in health and disease. Neuroscience and Biobehavioral Reviews, 169, Article 105988. https://doi.org/10.1016/j.neubiorev.2024.105988
Vohryzek, J., Cabral, J., Vuust, P., Deco, G. & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227), Article 20210247. https://doi.org/10.1098/rsta.2021.0247
Heng, J. G., Zhang, J., Bonetti, L., Lim, W. P. H., Vuust, P., Agres, K. & Chen, S. H. A. (2024). Understanding music and aging through the lens of Bayesian inference. Neuroscience and Biobehavioral Reviews, 163, Article 105768. https://doi.org/10.1016/j.neubiorev.2024.105768
Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025). Reply to Musculus et al. A case of offside in scientific discourse? Proceedings of the National Academy of Sciences of the United States of America, 122(25), Article e2507207122. https://doi.org/10.1073/pnas.2507207122
de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences (PNAS), 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116