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Petersen, B., Hardgrove Hansen, R., Beyer, K., Mortensen, M. V. & Vuust, P. (2011). Music for little digital ears - Music training with preschool children using cochlear implants. International Journal of Pediatric Otorhinolaryngology.
Kaasgaard, M., Rasmussen, D. B., Hjerrild Andreasson, K., Løkke, A., Vuust, P., Hilberg, O. & Bodtger, U. (2021). Adherence to singing training vs. physical training in COPD rehabilitation: Post hoc analyses from the Sing-a-Lung trial. European Respiratory Journal, 2021, Article PA320. https://doi.org/10.1183/13993003.congress-2021.PA320
Rosas, F. E., Luppi, A. I., Mediano, P. A. M., Kringelbach, M. L., Pessoa, L. & Turkheimer, F. (2025). Top-down and bottom-up neuroscience: overcoming the clash of research cultures. Nature Reviews Neuroscience, 26(9), 513-515. https://doi.org/10.1038/s41583-025-00946-x
Patow, G., Martin, I., Sanz Perl, Y., Kringelbach, M. L. & Deco, G. (2024). Whole-brain modelling: an essential tool for understanding brain dynamics. Nature Reviews Methods Primers, 4, Article 53. https://doi.org/10.1038/s43586-024-00336-0
Lumaca, M., Brattico, E. & Baggio, G. (2021). Signaling games and music as a credible signal. Behavioral and Brain Sciences, 44, e107. Article e107. https://doi.org/10.1017/S0140525X20001016
Løkke, A., Kaasgaard, M., Andreasson, K. H., Rasmussen, D. B., Hilberg, O., Vuust, P. & Bodtger, U. (2022). Reply: The effectiveness of singing versus exercise training. European Respiratory Journal, 59(6). https://doi.org/10.1183/13993003.03051-2021
Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2026). Reply to Fitzgerald et al. Mischaracterizing our findings; the cognitive profile of elite footballers remains robust. Proceedings of the National Academy of Sciences of the United States of America, 123(8), Article e2521662123. https://doi.org/10.1073/pnas.2521662123
Müller, V., Fairhurst, M. T., van Vugt, F. T., Keller, P. E. & Müller, M. F. (2022). Editorial: Interpersonal synchrony and network dynamics in social interaction. Frontiers in Human Neuroscience, 16, Article 1095735. https://doi.org/10.3389/fnhum.2022.1095735
Müller, V., Fairhurst, M. T., van Vugt, F. T. & Keller, P. E. (2025). Editorial: Interpersonal synchrony and network dynamics in social interaction, volume II. Frontiers in Human Neuroscience, 19, Article 1667942. https://doi.org/10.3389/fnhum.2025.1667942
Cabral, J., Jirsa, V., Popovych, O. V., Torcini, A. & Yanchuk, S. (2022). From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise. Frontiers in Systems Neuroscience, 16, Article 871165. https://doi.org/10.3389/fnsys.2022.871165
Brattico, E. (2006). The cognitive neuroscience of music. Musicae Scientiae, 10(1), 130-137.
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
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
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
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
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.
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
Oswald, J. N., Van Cise, A. M., Dassow, A., Elliott, T., Johnson, M. T., Ravignani, A. & Podos, J. (2022). A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data. Applied Sciences (Switzerland), 12(23), Article 12046. https://doi.org/10.3390/app122312046
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
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