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Center for Music in the Brain

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Cruzat, J., Deco, G., Tauste-Campo, A., Principe, A., Costa, A., Kringelbach, M. L. & Rocamora, R. (2018). The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG. NeuroImage, 172, 492-505. https://doi.org/10.1016/j.neuroimage.2018.01.064

Deco, G., Kringelbach, M. L., Jirsa, V. K. & Ritter, P. (2017). The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. Scientific Reports, 7(1), 3095. Article 3095. https://doi.org/10.1038/s41598-017-03073-5

Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2023). The early adolescent brain on music: Analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. Human Brain Mapping, 44(2), 429-446. https://doi.org/10.1002/hbm.26060

Shoemark, H., Dahlstrøm, M., Bedford, O. & Stewart, L. (2021). The effect of a voice-centered psycho-educational program on maternal self-efficacy: A feasibility study. International Journal of Environmental Research and Public Health, 18(5), Article 2537. https://doi.org/10.3390/ijerph18052537

Jakubowski, K., Halpern, A. R., Grierson, M. & Stewart, L. (2015). The effect of exercise-induced arousal on chosen tempi for familiar melodies. Psychonomic Bulletin & Review, 22(2), 559-65. https://doi.org/10.3758/s13423-014-0687-1

Escrichs, A., Sanz Perl, Y., Martínez-Molina, N., Biarnes, C., Garre-Olmo, J., Fernández-Real, J. M., Ramos, R., Martí, R., Pamplona, R., Brugada, R., Serena, J., Ramió-Torrentà, L., Coll-De-Tuero, G., Gallart, L., Barretina, J., Vilanova, J. C., Mayneris-Perxachs, J., Saba, L., Pedraza, S. ... Deco, G. (2023). The effect of external stimulation on functional networks in the aging healthy human brain. Cerebral Cortex, 33(1), 235-245. https://doi.org/10.1093/cercor/bhac064

Iorio, C., Brattico, E., Munk Larsen, F., Vuust, P. & Bonetti, L. (2022). The effect of mental practice on music memorization. Psychology of Music, 50(1), 230-244. https://doi.org/10.1177/0305735621995234

Magami, K., Bianco, R., Hall, E., Pearce, M. & Chait, M. (2025). The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG. European Journal of Neuroscience, 62(10), Article e70300. https://doi.org/10.1111/ejn.70300

Moumdjian, L., Feys, P., Moens, B., Manto, M., Cabaraux, P., Van Weijmeersch, B., Kotz, S. A., Leman, M. & Rosso, M. (2025). The effect of stimulus type and tempo on sensorimotor synchronization during finger-tapping in cerebellar ataxia: Behavioral and neural evidence. Cortex, 187, 111-123. https://doi.org/10.1016/j.cortex.2025.04.005

Deco, G., Liebana Garcia, S., Sanz Perl, Y., Sporns, O. & Kringelbach, M. L. (2023). The effect of turbulence in brain dynamics information transfer measured with magnetoencephalography. Communications Physics, 6(1), Article 74. https://doi.org/10.1038/s42005-023-01192-2

Coissac, C., Ferreri, L., Gamba, M., Ravignani, A. & Jadoul, Y. (2026). The Emergence of a Universal Rhythmic Feature: Simple Models Can Produce Categorical Rhythms. Annals of the New York Academy of Sciences, 1558(1), Article e70262. https://doi.org/10.1111/nyas.70262

Hansen, N. C. (2020). The expectancy dynamics of anti-tonal twelve-tone rows: a commentary and reanalysis of von Hippel & Huron (2020). Empirical Musicology Review, 15(1-2), 128-140. https://doi.org/10.18061/emr.v15i1-2.7806

Stupacher, J. (2019). The experience of flow during sensorimotor synchronization to musical rhythms. Musicae Scientiae, 23(3), 348–361. https://doi.org/10.1177/1029864919836720

Omigie, D., Muellensiefen, D. & Stewart, L. (2012). THE EXPERIENCE OF MUSIC IN CONGENITAL AMUSIA. Music Perception, 30(1), 1-18. https://doi.org/10.1525/MP.2012.30.1.1

Vohryzek, J., Cabral, J., Timmermann, C., Atasoy, S., Roseman, L., Nutt, D. J., Carhart-Harris, R. L., Deco, G. & Kringelbach, M. L. (2024). The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework. National Science Review, 11(5), Article nwae124. https://doi.org/10.1093/nsr/nwae124

Parsons, C. E., Young, K. S., Murray, L., Stein, A. & Kringelbach, M. L. (2010). The functional neuroanatomy of the evolving parent-infant relationship. Progress in Neurobiology, 91(3), 220-41. https://doi.org/10.1016/j.pneurobio.2010.03.001

Fjaeldstad, A. W., Nørgaard, H. J. & Fernandes, H. M. (2019). The Impact of Acoustic fMRI-Noise on Olfactory Sensitivity and Perception. Neuroscience, 406, 262-267. https://doi.org/10.1016/j.neuroscience.2019.03.028

Tiihonen, M., Haumann, N. T., Shtyrov, Y., Vuust, P., Jacobsen, T. & Brattico, E. (2024). The impact of crossmodal predictions on the neural processing of aesthetic stimuli. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220418. https://doi.org/10.1098/rstb.2022.0418

Perl, Y. S., Zamora-Lopez, G., Montbrió, E., Monge-Asensio, M., Vohryzek, J., Fittipaldi, S., Campo, C. G., Moguilner, S., Ibañez, A., Tagliazucchi, E., Yeo, B. T. T., Kringelbach, M. L. & Deco, G. (2023). The impact of regional heterogeneity in whole-brain dynamics in the presence of oscillations. Network Neuroscience, 7(2), 632-660. https://doi.org/10.1162/netn_a_00299

Deco, G., Sanz Perl, Y., Bocaccio, H., Tagliazucchi, E. & Kringelbach, M. L. (2022). The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states. Communications Biology, 5(1), Article 572. https://doi.org/10.1038/s42003-022-03505-7

Carraturo, G., Ferreri, L., Cardona, G., Lorenzo-Seva, U., Rodriguez-Fornells, A. & Brattico, E. (2025). The Italian version of the extended Barcelona Music Reward Questionnaire (eBMRQ): a validation study and association with age, gender, and musicianship. PeerJ, 13(2), Article e18403. https://doi.org/10.7717/peerj.18403

Guzmán, E. G., Perl, Y. S., Vohryzek, J., Escrichs, A., Manasova, D., Türker, B., Tagliazucchi, E., Kringelbach, M., Sitt, J. D. & Deco, G. (2023). The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states. Interface Focus, 13(3), Article 20220086. https://doi.org/10.1098/rsfs.2022.0086

Wells, C. A., Salvage-Jones, J. A., Li, X., Hitchens, K., Butcher, S., Murray, R. Z., Beckhouse, A. G., Lo, Y.-L.-S., Manzanero, S., Cobbold, C., Schroder, K., Ma, B., Orr, S., Stewart, L., Lebus, D., Sobieszczuk, P., Hume, D. A., Stow, J., Blanchard, H. & Ashman, R. B. (2008). The macrophage-inducible C-type lectin, Mincle, is an essential component of the innate immune response to Candida albicans. Journal of Immunology, 180(11), 7404-7413.

Liu, F., Jiang, C., Thompson, W. F., Xu, Y., Yang, Y. & Stewart, L. (2012). The mechanism of speech processing in congenital amusia: evidence from Mandarin speakers. PLoS One, 7(2), e30374. https://doi.org/10.1371/journal.pone.0030374

De Filippi, E., Uribe, C., Avila-Varela, D. S., Martínez-Molina, N., Gashaj, V., Pritschet, L., Santander, T., Jacobs, E. G., Kringelbach, M. L., Sanz Perl, Y., Deco, G. & Escrichs, A. (2021). The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics. Frontiers in Neuroscience, 15, Article 753820. https://doi.org/10.3389/fnins.2021.753820

Näätänen, R., Petersen, B., Torppa, R., Lonka, E. & Vuust, P. (2017). The MMN as a viable and objective marker of auditory development in CI users. Hearing Research, 353(353), 57-75. https://doi.org/10.1016/j.heares.2017.07.007

Deco, G., Van Hartevelt, T. J., Fernandes, H. M., Stevner, A. & Kringelbach, M. L. (2017). The most relevant human brain regions for functional connectivity: Evidence for a dynamical workspace of binding nodes from whole-brain computational modelling. NeuroImage, 146, 197-210. https://doi.org/10.1016/j.neuroimage.2016.10.047

Müllensiefen, D., Gingras, B., Musil, J. & Stewart, L. (2014). The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLoS One, 9(2), e89642. https://doi.org/10.1371/journal.pone.0089642

Zou, L.-Q., van Hartevelt, T. J., Kringelbach, M. L., Cheung, E. F. C. & Chan, R. C. K. (2016). The neural mechanism of hedonic processing and judgment of pleasant odors: An activation likelihood estimation meta-analysis. Neuropsychology, 30(8), 970-979. https://doi.org/10.1037/neu0000292

Fernández-Rubio, G., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2025). The neurophysiology of healthy and pathological aging: a comprehensive systematic review. Brain Structure and Function, 230(8), Article 146. https://doi.org/10.1007/s00429-025-03012-5

Laffi, L., Raimondi, T., De Gregorio, C., Valente, D., Cristiano, W., Carugati, F., Ferrario, V., Torti, V., Ratsimbazafy, J., Giacoma, C., Ravignani, A. & Gamba, M. (2026). The Ontogeny of Vocal Rhythms in a Non-Human Primate. Developmental Science, 29(3), Article e70189. https://doi.org/10.1111/desc.70189

Duengen, D. & Ravignani, A. (2023). The paradox of learned song in a semi-solitary mammal. Ethology, 129(9), 445-453. https://doi.org/10.1111/eth.13385

Romkey, I. D., Matthews, T., Foster, N., Bella, S. D. & Penhune, V. B. (2025). The pleasurable urge to move to music is unchanged in people with musical anhedonia. PLoS One, 20(1), Article e0312030. https://doi.org/10.1371/journal.pone.0312030

Kringelbach, M. L. (2015). The pleasure of food: underlying brain mechanisms of eating and other pleasures. Flavour, 4(20).

Matrone, C. & Brattico, E. (2015). The Power of music on Alzheimer ’s Disease and the need to understand the underlying molecular mechanisms. Journal of Alzheimer's disease and parkinsonism, 5(3). https://doi.org/10.4172/2161-0460.1000196

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2021). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V. K. & Deco, G. (2015). The Rediscovery of Slowness: Exploring the Timing of Cognition. Trends in Cognitive Sciences, 19(10), 616-28. https://doi.org/10.1016/j.tics.2015.07.011

Fjaeldstad, A. W., Konieczny, D. T., Fernandes, H., Gaini, L. M., Vejlø, M. & Sandberg, K. (2022). The relationship between individual significance of olfaction and measured olfactory function. Current Research in Behavioral Sciences, 3, Article 100076. https://doi.org/10.1016/j.crbeha.2022.100076

Williamson, V. J., Cocchini, G. & Stewart, L. (2011). The relationship between pitch and space in congenital amusia. Brain and Cognition, 76(1), 70-6. https://doi.org/10.1016/j.bandc.2011.02.016

Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M. & Brattico, E. (2016). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage, 124(Pt A), 224-231. https://doi.org/10.1016/j.neuroimage.2015.09.005

Laffi, L., Raimondi, T., Ferrante, C., Pagliara, E., Bertuglia, A., Briefer, E. F., Gamba, M. & Ravignani, A. (2025). The rhythm of horse gaits. Annals of the New York Academy of Sciences, 1543(1), 86-93. https://doi.org/10.1111/nyas.15271

Mayayo, F., Celma-Miralles, A., Keller, P. E. & Toro, J. M. (2026). The role of competing grouping patterns and tonal coherence in neural synchronization to musical meter. Experimental Brain Research, 244(1), Article 18. https://doi.org/10.1007/s00221-025-07216-3

Costa, M., Bonetti, L., VIgnali, V., Lantieri, C. & Simone, A. (2018). The role of peripheral vision in vertical road sign identification and discrimination. Ergonomics, 61(12), 1619-1634. https://doi.org/10.1080/00140139.2018.1508756

Matthews, T. E., Witek, M. A. G., Lund, T., Vuust, P. & Penhune, V. B. (2020). The sensation of groove engages motor and reward networks. NeuroImage, 214, Article 116768. https://doi.org/10.1016/j.neuroimage.2020.116768

Matthews, T. E., Witek, M. A. G., Heggli, O. A., Penhune, V. B. & Vuust, P. (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLoS One, 14(1), Article e0204539. https://doi.org/10.1371/journal.pone.0204539

Yan, X., Joshi, A., Zang, Y., Assunção, F., Fernandes, H. M. & Hummel, T. (2022). The Shape of the Olfactory Bulb Predicts Olfactory Function. Brain Sciences, 12(2), Article 128. https://doi.org/10.3390/brainsci12020128

Jakubowski, K., Farrugia, N., Halpern, A. R., Sankarpandi, S. K. & Stewart, L. (2015). The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday life. Memory & Cognition. https://doi.org/10.3758/s13421-015-0531-5

Stupacher, J., Matthews, T. E., Pando-Naude, V., Foster Vander Elst, O. & Vuust, P. (2022). The sweet spot between predictability and surprise: Musical groove in brain, body, and social interactions. Frontiers in Psychology, 13, Article 906190. https://doi.org/10.3389/fpsyg.2022.906190

Deco, G., Perl, Y. S., Feng, J. & Kringelbach, M. L. (2026). The turbulent brain: Modeling vortex interactions for understanding human cognition. Network Neuroscience. Advance online publication. https://doi.org/10.1162/NETN.a.554

Menouti, K., Akiva-Kabiri, L., Banissy, M. J. & Stewart, L. (2015). Timbre-colour synaesthesia: exploring the consistency of associations based on timbre. Cortex, 63, 1-3. https://doi.org/10.1016/j.cortex.2014.08.009

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Hella Kastbjerg