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Center for Music in the Brain

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Campo, F. F., Carlomagno, F., Vuust, P., Haumann, N. T., Bonetti, L., Grube, M. & Brattico, E. (2026). Is auditory prediction related to domain-general cognitive abilities? A neurophysiology study on MMN and cognitive performance scores. Behavioural Brain Research, 497, Article 115884. https://doi.org/10.1016/j.bbr.2025.115884

Brattico, P. J. (2016). Is Finnish topic prominent? Acta Linguistica Hungarica, 63(3), 299-330. https://doi.org/10.1556/064.2016.63.3.2

De Gregorio, C., Raimondi, T., Bevilacqua, V., Pertosa, C., Valente, D., Carugati, F., Bandoli, F., Favaro, L., Lefaux, B., Ravignani, A. & Gamba, M. (2024). Isochronous singing in 3 crested gibbon species (Nomascus spp.). Current Zoology, 70(3), 291-297. https://doi.org/10.1093/cz/zoad029

De Gregorio, C., Maiolini, M., Raimondi, T., Carugati, F., Miaretsoa, L., Valente, D., Torti, V., Giacoma, C., Ravignani, A. & Gamba, M. (2024). Isochrony as ancestral condition to call and song in a primate. Annals of the New York Academy of Sciences, 1537(1), 41-50. https://doi.org/10.1111/nyas.15151

Osiecka, A. N., Fearey, J., Ravignani, A. & Burchardt, L. S. (2024). Isochrony in barks of Cape fur seal (Arctocephalus pusillus pusillus) pups and adults. Ecology and Evolution, 14(3), Article e11085. https://doi.org/10.1002/ece3.11085

Wang, Q. J., Fernandes, H. & Fjaeldstad, A. W. (2021). Is perceptual learning generalisable in the chemical senses? A longitudinal pilot study based on a naturalistic blind wine tasting training scenario. Chemosensory Perception, 14(2), 64-74. https://doi.org/10.1007/s12078-020-09284-x

Anderson, S., Himonides, E., Wise, K., Welch, G. & Stewart, L. (2012). Is there potential for learning in amusia? A study of the effect of singing intervention in congenital amusia. Annals of the New York Academy of Sciences, 1252, 345-53. https://doi.org/10.1111/j.1749-6632.2011.06404.x

Brattico, E., Bogert, B., Alluri, V., Tervaniemi, M., Eerola, T. & Jacobsen, T. (2016). It's Sad but I Like It: The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons. Frontiers in Human Neuroscience, 9(JAN2016), Article 676. https://doi.org/10.3389/fnhum.2015.00676

Cong, F., Puolivali, T., Alluri, V., Sipola, T., Burunat, I., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2014). Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis. Journal of Neuroscience Methods, 223, 74-84. https://doi.org/10.1016/j.jneumeth.2013.11.025

Langer Bro, M., Jespersen, K. V., Hansen, J. B., Vuust, P., Abildgaard, N., Gram, J. & Johansen, C. (2018). Kind of blue - a systematic review and meta-analysis of music intervention in cancer treatment. Psycho-Oncology, 27(2), 386–400. https://doi.org/10.1002/pon.4470

Alluri, V., Toiviainen, P., Jaaskelainen, I. P., Glerean, E., Sams, M. & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage, 59(4), 3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

Lebedev, A. V., Abé, C., Acar, K., Deco, G., Kringelbach, M. L., Ingvar, M. & Petrovic, P. (2022). Large-scale societal dynamics are reflected in human mood and brain. Scientific Reports, 12, Article 4646. https://doi.org/10.1038/s41598-022-08569-3

Bianco, R., Novembre, G., Ringer, H., Kohler, N., Keller, P. E., Villringer, A. & Sammler, D. (2022). Lateral prefrontal cortex is a hub for music production from structural rules to movements. Cerebral Cortex, 32(18), 3878-3895. https://doi.org/10.1093/cercor/bhab454

Sabharwal, S. R., Breaden, M., Volpe, G., Camurri, A. & Keller, P. E. (2024). Leadership dynamics in musical groups: Quantifying effects of musical structure on directionality of influence in concert performance videos. PLoS One, 19(4), Article e0300663. https://doi.org/10.1371/journal.pone.0300663

Schiavio, A., Stupacher, J., Parncutt, R. & Timmers, R. (2020). Learning Music From Each Other: Synchronization, Turn-taking, or Imitation? Music Perception, 37(5), 403-422. https://doi.org/10.1525/mp.2020.37.5.403

Lippolis, M., Müllensiefen, D., Frieler, K., Matarrelli, B., Vuust, P., Cassibba, R. & Brattico, E. (2022). Learning to play a musical instrument in the middle school is associated with superior audiovisual working memory and fluid intelligence: A cross-sectional behavioral study. Frontiers in Psychology, 13, Article 982704. https://doi.org/10.3389/fpsyg.2022.982704

Deco, G., Kemp, M. & Kringelbach, M. L. (2021). Leonardo da Vinci and the search for order in neuroscience. Current Biology, 31(11), R704-R709. https://doi.org/10.1016/j.cub.2021.03.098

Costa, M. & Bonetti, L. (2017). Linear perspective and framing in the vista paradox. Perception, 46(11), 1245-1268. https://doi.org/10.1177/0301006617713091

Norgaard, M., Bales, K. & Hansen, N. C. (2023). Linked auditory and motor patterns in the improvisation vocabulary of an artist-level jazz pianist. Cognition, 230, Article 105308. https://doi.org/10.1016/j.cognition.2022.105308

Mogensen, R. L. H., Hedegaard, M. B., Olsen, L. R. & Gebauer, L. (2020). Linking the Puzzle Pieces of the Past: A Study of Relational Memory in Children with Autism Spectrum Disorder. Autism Research, 13(11), 1959-1969. https://doi.org/10.1002/aur.2379

Quiroga-Martinez, D. R., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2021). Listeners with congenital amusia are sensitive to context uncertainty in melodic sequences. Neuropsychologia, 158, Article 107911. https://doi.org/10.1016/j.neuropsychologia.2021.107911

Brattico, E., Kujala, T., Tervaniemi, M., Alku, P., Ambrosi, L. & Monitillo, U. (2005). Long-term exposure to occupational noise alters the cortical organization of sound processing. Clinical Neurophysiology, 116(1), 190-203. https://doi.org/10.1016/j.clinph.2004.07.030

Bianco, R., Harrison, P. M. C., Hu, M., Bolger, C., Picken, S., Pearce, M. T. & Chait, M. (2020). Long-term implicit memory for sequential auditory patterns in humans. eLife, 9, Article e56073. https://doi.org/10.7554/eLife.56073

López-González, A., Panda, R., Ponce-Alvarez, A., Zamora-López, G., Escrichs, A., Martial, C., Thibaut, A., Gosseries, O., Kringelbach, M. L., Annen, J., Laureys, S. & Deco, G. (2021). Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics. Communications Biology, 4(1), Article 1037. https://doi.org/10.1038/s42003-021-02537-9

Stewart, L. (2009). Lost in music. Psychologist, 22(12), 1030-1032.

Carraturo, G., Kliuchko, M. & Brattico, E. (2024). Loud and unwanted: Individual differences in the tolerance for exposure to music. Journal of the Acoustical Society of America, 155(5), 3274-3282. https://doi.org/10.1121/10.0025924

Perl, Y. S., Pallavicini, C., Piccinini, J., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Alnagger, N., Annen, J., Gosseries, O., Ibañez, A., Laufs, H., Sitt, J. D., Jirsa, V. K., Kringelbach, M. L., Laureys, S., Deco, G. & Tagliazucchi, E. (2023). Low-dimensional organization of global brain states of reduced consciousness. Cell Reports, 42(5), Article 112491. https://doi.org/10.1016/j.celrep.2023.112491

Shinozuka, K., Tewarie, P. K. B., Luppi, A., Lynn, C., Roseman, L., Muthukumaraswamy, S., Nutt, D. J., Carhart-Harris, R., Deco, G. & Kringelbach, M. L. (2025). LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics. Imaging Neuroscience, 3. https://doi.org/10.1162/imag_a_00420

Ruffini, G., Damiani, G., Lozano-Soldevilla, D., Deco, N., Rosas, F. E., Kiani, N. A., Ponce-Alvarez, A., Kringelbach, M. L., Carhart-Harris, R. & Deco, G. (2023). LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics. PLoS Computational Biology, 19(2), Article e1010811. https://doi.org/10.1371/journal.pcbi.1010811

Ponce-Alvarez, A., Uhrig, L., Deco, N., Signorelli, C. M., Kringelbach, M. L., Jarraya, B. & Deco, G. (2022). Macroscopic Quantities of Collective Brain Activity during Wakefulness and Anesthesia. Cerebral Cortex, 32(2), 298-311. https://doi.org/10.1093/cercor/bhab209

Fernández-Rubio, G., Brattico, E., Kotz, S. A., Kringelbach, M. L., Vuust, P. & Bonetti, L. (2022). Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences. Communications Biology, 5(1), Article 1272. https://doi.org/10.1038/s42003-022-04217-8

Carlson, E., Saarikallio, S., Toiviainen, P., Bogert, B., Kliuchko, M. & Brattico, E. (2015). Maladaptive and adaptive emotion regulation through music: a behavioral and neuroimaging study of males and females. Frontiers in Human Neuroscience, 9, Article 466. https://doi.org/10.3389/fnhum.2015.00466

Knarborg Larsen, H., Heggli, O. A. & Petersen, B. (2019). Marimba, mallet and mind – enhancing the marimba sound by Ki-aikido approach. Journal of New Music Research, 48(5), 469-478. https://doi.org/10.1080/09298215.2019.1657465

Tuulari, J. J., Rajasilta, O., Cabral, J., Kringelbach, M. L., Karlsson, L. & Karlsson, H. (2024). Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network. Stress, 27(1), Article 2275207. https://doi.org/10.1080/10253890.2023.2275207

Schiavio, A., Witek, M. A. G. & Stupacher, J. (2023). Meaning-making and creativity in musical entrainment. Frontiers in Psychology, 14, Article 1326773. https://doi.org/10.3389/fpsyg.2023.1326773

Anichini, M., De Reus, K., Hersh, T. A., Valente, D., Salazar-Casals, A., Berry, C., Keller, P. E. & Ravignani, A. (2023). Measuring rhythms of vocal interactions: a proof of principle in harbour seal pups. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1875), Article 20210477. https://doi.org/10.1098/rstb.2021.0477

Lenc, T., Lenoir, C., Keller, P. E., Polak, R., Mulders, D. & Nozaradan, S. (2025). Measuring self-similarity in empirical signals to understand musical beat perception. European Journal of Neuroscience, 61(2), Article e16637. https://doi.org/10.1111/ejn.16637

Mohseni, H. R., Smith, P. P., Parsons, C., Young, K. S., Hyam, J. A., Stein, A., Stein, J. F., Green, A. L., Aziz, T. Z. & Kringelbach, M. L. (2012). MEG can map short and long-term changes in brain activity following deep brain stimulation for chronic pain. PLoS One, 7(6), Article 37993. https://doi.org/10.1371/journal.pone.0037993

Politimou, N., Douglass-Kirk, P., Pearce, M., Stewart, L. & Franco, F. (2021). Melodic expectations in 5- and 6-year-old children. Journal of Experimental Child Psychology, 203, Article 105020. https://doi.org/10.1016/j.jecp.2020.105020

Tervaniemi, M., Huotilainen, M. & Brattico, E. (2014). Melodic multi-feature paradigm reveals auditory profiles in music-sound encoding. Frontiers in Human Neuroscience, 8, Article 496. https://doi.org/10.3389/fnhum.2014.00496

Williamson, V. J. & Stewart, L. (2010). Memory for pitch in congenital amusia: beyond a fine-grained pitch discrimination problem. Memory, 18(6), 657-69. https://doi.org/10.1080/09658211.2010.501339

Deco, G. & Kringelbach, M. L. (2016). Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. Trends in Neurosciences, 39(3), 125-135. https://doi.org/10.1016/j.tins.2016.01.001

Cabral, J., Castaldo, F., Vohryzek, J., Litvak, V., Bick, C., Lambiotte, R., Friston, K., Kringelbach, M. L. & Deco, G. (2022). Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome. Communications Physics, 5(1), Article 184. https://doi.org/10.1038/s42005-022-00950-y

Trusbak Haumann, N., Petersen, B., Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2023). Mismatch negativity as a marker of music perception in individual cochlear implant users: A spike density component analysis study. Clinical Neurophysiology, 148, 76-92. https://doi.org/10.1016/j.clinph.2023.01.015

Perl, Y. S., Fittipaldi, S., Campo, C. G., Moguilner, S., Cruzat, J., Fraile-Vazquez, M. E., Herzog, R., Kringelbach, M. L., Deco, G., Prado, P., Ibanez, A. & Tagliazucchi, E. (2023). Model-based whole-brain perturbational landscape of neurodegenerative diseases. eLife, 12, Article e83970. https://doi.org/10.7554/elife.83970

Kaplan, T., Cannon, J., Jamone, L. & Pearce, M. (2022). Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Computational Biology, 18(9), Article e1010579. https://doi.org/10.1371/journal.pcbi.1010579

Giomo, D., Mancinelli, F., Ravignani, A. & Bueti, D. (2026). Modeling human synchronization to rhythmic patterns with varying statistical regularities. Acta Psychologica, 266, Article 106796. https://doi.org/10.1016/j.actpsy.2026.106796

Ipiña, I. P., Kehoe, P. D., Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020). Modeling regional changes in dynamic stability during sleep and wakefulness. NeuroImage, 215, Article 116833. https://doi.org/10.1016/j.neuroimage.2020.116833

Bonetti, L., Bruzzone, S. E. P., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P., Palva, S. & Brattico, E. (2023). Moderate associations between BDNF Val66Met gene polymorphism, musical expertise, and mismatch negativity. Heliyon, 9(5), Article e15600. https://doi.org/10.1016/j.heliyon.2023.e15600

Capouskova, K., Kringelbach, M. L. & Deco, G. (2022). Modes of cognition: Evidence from metastable brain dynamics. NeuroImage, 260, Article 119489. https://doi.org/10.1016/j.neuroimage.2022.119489

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