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Center for Music in the Brain

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Laffi, L., Bigand, F., Peham, C., Novembre, G., Gamba, M. & Ravignani, A. (2025). Rhythmic categories in horse gait kinematics. Journal of Anatomy, 246(3), 456-465. https://doi.org/10.1111/joa.14200

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Risk of depression enhances auditory Pitch discrimination in the brain as indexed by the mismatch negativity. Clinical Neurophysiology, 128(10), 1923-1936. https://doi.org/10.1016/j.clinph.2017.07.004

Hersh, T. A., Ravignani, A. & Burchardt, L. S. (2023). Robust rhythm reporting will advance ecological and evolutionary research. Methods in Ecology and Evolution, 14(6), 1398-1407. https://doi.org/10.1111/2041-210X.14118

Hindriks, R., Woolrich, M., Luckhoo, H., Joensson, M., Mohseni, H., Kringelbach, M. L. & Deco, G. (2015). Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. NeuroImage, 106, 328-339. https://doi.org/10.1016/j.neuroimage.2014.10.057

Martin, K., Tomasek, M., Hivet, A., Ravignani, A., Obin, N. & Dufour, V. (2026). Rooks (Corvus frugilegus) can show spontaneous vocal flexibility when exposed to dynamically changing rhythmic sounds. Animal Cognition, 29(1), 18. Article 18. https://doi.org/10.1007/s10071-025-02038-w

Perl, Y. S., Mininni, P., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2023). Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators. Physical Review Research , 5(3), Article 033183. https://doi.org/10.1103/PhysRevResearch.5.033183

del Agua, E., Escrichs, A., Sanz Perl, Y., Kringelbach, M. L., Diamond, A., Denervaud, S. & Deco, G. (2026). Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education. Advanced Science. Advance online publication. https://doi.org/10.1002/advs.202524343

Young, K. S., Parsons, C. E., LeBeau, R. T., Tabak, B. A., Sewart, A. R., Stein, A., Kringelbach, M. L. & Craske, M. G. (2017). Sensing Emotion in Voices: Negativity Bias and Gender Differences in a Validation Study of the Oxford Vocal ('OxVoc') Sounds Database. Psychological Assessment, 29(8), 967-977. https://doi.org/10.1037/pas0000382

Lippolis, M., Carraturo, G., Ferreri, L., Vuust, P., Müllensiefen, D., Matarrelli, B. & Brattico, E. (2023). Sensitivity to social reward in music behavior changes after ,usic training in preadolescence. Advances in Cognitive Psychology, 19(4), 106-125. https://doi.org/10.5709/acp-0409-z

Caclin, A., Brattico, E., Tervaniemi, M., Naatanen, R., Morlet, D., Giard, M.-H. & McAdams, S. (2006). Separate neural processing of timbre dimensions in auditory sensory memory. Journal of Cognitive Neuroscience (Online), 18(12), 1959-1972.

Jeppesen, E., Backer, V., Jespersen, K. V., Borresen, S. W., Vuust, P. & Wallentin, M. (2023). Sex, anxiety and the interplay with physiological variables of stress: a clinical study of patients about to undergo bronchoscopy. Psychology, Health & Medicine, 28(9), 2548-2561. https://doi.org/10.1080/13548506.2023.2193418

Francesconi, M., Galotti, A., Jadoul, Y., Giovannini, F., Ravignani, A. & Palagi, E. (2026). SEX in bonobos: The intensity of sexual stimulation sharply drops after facial mimicry. Evolution and Human Behavior, 47(1), Article 106786. https://doi.org/10.1016/j.evolhumbehav.2025.106786

Keller, P. E., Lee, J., König, R. & Novembre, G. (2023). Sex-related communicative functions of voice spectral energy in human chorusing. Biology Letters, 19(11), Article 20230326. https://doi.org/10.1098/rsbl.2023.0326

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V., Vuust, P. & Brattico, E. (2019). Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study. Frontiers in Psychology, 10(750), Article 750. https://doi.org/10.3389/fpsyg.2019.00750

Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, Article 117470. https://doi.org/10.1016/j.neuroimage.2020.117470

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), Article 4517. https://doi.org/10.1038/s41598-021-83983-7

Livingstone-Lee, S. A., Murchison, S., Zeman, P. M., Gandhi, M., van Gerven, D., Stewart, L., Livingston, N. J. & Skelton, R. W. (2011). Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice. Behavioural Brain Research, 225(1), 117-25. https://doi.org/10.1016/j.bbr.2011.07.005

Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47(1), 29-52. https://doi.org/10.1080/09298215.2017.1367010

Harrison, P. M. C. & Pearce, M. T. (2020). Simultaneous Consonance in Music Perception and Composition. Psychological Review, 127(2), 216-244. https://doi.org/10.1037/rev0000169

Brattico, E., Winkler, M., Naatanen, R., Paavilainen, P. & Tervaniemi, M. (2002). Simultaneous storage of two complex temporal sound patterns in auditory sensory memory. NeuroReport, 13(14), 1747-1751.

Petersen, B., Mortensen, M. V., Hansen, M. & Vuust, P. (2012). Singing in the key of life: A study on effects of musical ear training after cochlear implantation. Psychomusicology: Music, Mind & Brain, 22(2), 134-151. https://doi.org/10.1037/a0031140

Zamorano, A. M., Zatorre, R. J., Vuust, P., Friberg, A., Birbaumer, N. & Kleber, B. (2023). Singing training predicts increased insula connectivity with speech and respiratory sensorimotor areas at rest. Brain Research, 1813, Article 148418. https://doi.org/10.1016/j.brainres.2023.148418

Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J. & Kringelbach, M. L. (2017). Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. NeuroImage, 152(152), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

Hoegholt, N. F., Buus, S., Stevner, A. B. A., Sui, J., Vuust, P. & Kringelbach, M. L. (2023). Sleep-deprived new mothers gave their infants a higher priority than themselves. Acta Paediatrica, International Journal of Paediatrics, 112(1), 93-99. https://doi.org/10.1111/apa.16560

Peng-Li, D., Alves da Mota, P., Costa Correa, C. M., Chan, R. C. K., Byrne, D. V. & Wang, Q. J. (2022). “Sound” Decisions: The Combined Role of Ambient Noise and Cognitive Regulation on the Neurophysiology of Food Cravings. Frontiers in Neuroscience, 16, Article 827021. https://doi.org/10.3389/fnins.2022.827021

Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x

Bonetti, L., Fernández-Rubio, G., Carlomagno, F., Dietz, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding. Nature Communications, 15(1), Article 4313. https://doi.org/10.1038/s41467-024-48302-4

Bonetti, L., Brattico, E., Carlomagno, F., Cabral, J., Stevner, A., Deco, G., Whybrow, P. C., Pearce, M., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2024). Spatiotemporal whole-brain activity and functional connectivity of melodies recognition. Cerebral Cortex, 34(8), Article e320. https://doi.org/10.1093/cercor/bhae320

Engler, B. H., Zamm, A. & Møller, C. (2024). Spontaneous rates exhibit high intra-individual stability across movements involving different biomechanical systems and cognitive demands. Scientific Reports, 14(1), Article 14876. https://doi.org/10.1038/s41598-024-65788-6

Verga, L., Sroka, M. G. U., Varola, M., Villanueva, S. & Ravignani, A. (2022). Spontaneous rhythm discrimination in a mammalian vocal learner. Biology Letters, 18(10), 20220316. Article 20220316. https://doi.org/10.1098/rsbl.2022.0316

Pearce, M. (2018). Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences, 1423(1), 378-395. https://doi.org/10.1111/nyas.13654

Williamson, V. J., Liikkanen, L. A., Jakubowski, K. & Stewart, L. (2014). Sticky tunes: how do people react to involuntary musical imagery? PLoS One, 9(1), e86170. https://doi.org/10.1371/journal.pone.0086170

Perl, Y. S., Escrichs, A., Tagliazucchi, E., Kringelbach, M. L. & Deco, G. (2022). Strength-dependent perturbation of wholebrain model working in different regimes reveals the role of fluctuations in brain dynamics. PLoS Computational Biology, 18(11), Article e1010662. https://doi.org/10.1371/journal.pcbi.1010662

Donaire, A., Padilla, N., Escrichs, A., Khawja, M., Setoain, X., Rumia, J., Roldan, P., Bargallo, N., Boget, T., Pintor, L., Centeno, M., Conde, E., Vernet, O., Buendía, J., Manzanares, I., Ådén, U., Carreño, M., Kringelbach, M. & Deco, G. (2024). Subject-based assessment of large-scale integration dynamics in epileptic brain networks: insights from the intrinsic ignition framework. Cerebral cortex (New York, N.Y. : 1991), 34(10), Article bhae419. https://doi.org/10.1093/cercor/bhae419

Corcoran, C., Stupacher, J. & Vuust, P. (2022). Swinging the Score? Swing Phrasing Cannot Be Communicated via Explicit Notation Instructions Alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/MP.2022.39.4.386

Witek, M. A. G., Popescu, T., Clarke, E. F., Hansen, M., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2017). Syncopation affects free body-movement in musical groove. Experimental Brain Research, 235(4), 995-1005. https://doi.org/10.1007/s00221-016-4855-6

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., Kringelbach, M. L., Deco, G., Tagliazucchi, E. & Ibañez, A. (2023). Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease. The Journal of Neuroscience, 43(9), 1643-1656. https://doi.org/10.1523/JNEUROSCI.1312-22.2022

Wehmeyer, L., Baldermann, J. C., Pogosyan, A., Rodriguez Plazas, F., Loehrer, P. A., Bonetti, L., Yassine, S., zur Mühlen, K., Schüller, T., Kuhn, J., Visser-Vandewalle, V., Tan, H. & Andrade, P. (2026). Thalamo-frontal functional connectivity patterns in Tourette Syndrome: Insights from combined intracranial DBS and EEG recordings. Molecular Psychiatry, 31(1), 231-242. https://doi.org/10.1038/s41380-025-03220-9

Peretz, I., Brattico, E., Jarvenpaa, M. & Tervaniemi, M. (2009). The amusic brain: in tune, out of key, and unaware. Brain, 132, 1277-1286. https://doi.org/10.1093/brain/awp055

Sadeghi, F., Agua Banyeres, E. D., Pizzuti, A., Okar, A., Grimm, K., Gerloff, C., Kringelbach, M. L., Goebel, R., Zittel, S. & Deco, G. (2025). The arrow of time in Parkinson's disease. NeuroImage: Clinical, 47, Article 103834. https://doi.org/10.1016/j.nicl.2025.103834

Buus, R. M., Genovese, S. & Jespersen, K. V. (2025). The art of sleep: examining sleep strategies in the general population with a focus on the use of music for sleep. Journal of Sleep Research, 34(5), Article e70006. https://doi.org/10.1111/jsr.70006

Kliuchko, M., Heinonen-Guzejev, M., Monacis, L., Gold, B., Heikkilä, K., Spinosa, V., Tervaniemi, M. & Brattico, E. (2015). The association of noise sensitivity with music listening, training, and aptitude. Noise and Health, 17(78), 350-357. https://doi.org/10.4103/1463-1741.165065

Scarratt, R. J., Heggli, O. A., Vuust, P. & Jespersen, K. V. (2023). The audio features of sleep music: universal and subgroup characteristics. PLoS One, 18(1), Article e0278813. https://doi.org/10.1371/journal.pone.0278813

van der Werff, J., Ravignani, A. & Jadoul, Y. (2024). thebeat: A Python package for working with rhythms and other temporal sequences. Behavior Research Methods, 56(4), 3725-3736. https://doi.org/10.3758/s13428-023-02334-8

Magee, W. L. & Stewart, L. (2015). The challenges and benefits of a genuine partnership between Music Therapy and Neuroscience: a dialog between scientist and therapist. Frontiers in Human Neuroscience, 9, 223. https://doi.org/10.3389/fnhum.2015.00223

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, Article 116191. https://doi.org/10.1016/j.neuroimage.2019.116191

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, Article 2. https://doi.org/10.3389/fnins.2020.00002

Møller, C., Hansen, N. C., Vuust, P. & Müllensiefen, D. (2024). The Danish Goldsmiths Musical Sophistication Index: Validation in Samples with Different Degrees of Representativeness. Music & Science, 7, 1-12. https://doi.org/10.1177/20592043241289087

Nieminen, S., Istok, E., Brattico, E. & Tervaniemi, M. (2012). The development of the aesthetic experience of music: Preference, emotions, and beauty. Musicae Scientiae, 16(3), 372-391. https://doi.org/10.1177/1029864912450454

Alonso Martínez, S., Deco, G., Ter Horst, G. J. & Cabral, J. (2020). The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample. Frontiers in Neural Circuits, 14, Article 570583. https://doi.org/10.3389/fncir.2020.570583

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