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Center for Music in the Brain

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Turriziani, P., Campo, F. F., Bonaventura, R. E., Mangano, G. R. & Oliveri, M. (2024). Modulation of memory by prism adaptation in healthy subjects. Scientific Reports, 14(1), Article 25358. https://doi.org/10.1038/s41598-024-77027-z

Eraifej, J., Cabral, J., Fernandes, H. M., Kahan, J., He, S., Mancini, L., Thornton, J., White, M., Yousry, T., Zrinzo, L., Akram, H., Limousin, P., Foltynie, T., Aziz, T. Z., Deco, G., Kringelbach, M. & Green, A. L. (2023). Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation. Network Neuroscience, 7(2), 478-495. https://doi.org/10.1162/netn_a_00297

Brattico, E., Tupala, T., Glerean, E. & Tervaniemi, M. (2013). Modulated neural processing of Western harmony in folk musicians. Psychophysiology, 50(7), 653-663. https://doi.org/10.1111/psyp.12049

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

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

Hansen, N. C., Loui, P., Vuust, P. & Pearce, M. (2015). Modelling short- and long-term statistical learning of music as a process of predictive entropy reduction. Paper presented at International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain.

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

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

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

Trusbak Haumann, N., Petersen, B., Andersen, A. S., F. Faulkner, K., Brattico, E. & Vuust, P. (2021). MMN as a reliable marker of music discrimination in individual cochlear implant users: MMN in individual CI. Poster session presented at 3RD MUSIC & COCHLEAR IMPLANTS SYMPOSIUM, Cambridge, United Kingdom.

Celma-Miralles, A., Kliuchko, M., Bruzzone, S. E. P., Trusbak Haumann, N., Zachariasson, P., Vuust, P. & Brattico, E. (2022). Mismatch responses to violations of musical features in children compared to adult. In MMN 2022: Mismatch negativity: neural basis and biomarker development (pp. 104-105). Article P-14 https://www.c-linkage.co.jp/mmn2022/file/mmn2022_program_abstract.pdf

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Mismatch Negativity to sound pitch deviants as a possible screening tool for depression. In Mismatch Negativity to sound pitch deviants as a possible screening tool for depression

Näätänen, R., Brattico, E. & Tervaniemi, M. (2003). Mismatch negativity (MMN): A probe to auditory cognition and perception in basic and clinical research. In A. Zani & A. M. Proverbio (Eds.), The Cognitive Electrophysiology of Mind and Brain (pp. 343-355). Psychology Press.

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

Bonetti, L., Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Mild depression enhances auditory pitch discrimination in the brain as indexed by the Mismatch Negativity. In Mild depression enhances auditory pitch discrimination in the brain as indexed by the Mismatch Negativity

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

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

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), 125-35. https://doi.org/10.1016/j.tins.2016.01.001

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

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

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

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

G, F., V, W. & Stewart, L. (2015). Measuring the earworm experience: The involuntary musical imagery scale (IMIS). Poster session presented at Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, United Kingdom.

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

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

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

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

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

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

Brattico, E. & Delussi, M. (2024). Making sense of music: Insights from neurophysiology and connectivity analyses in naturalistic listening conditions. Hearing Research, 441, Article 108923. https://doi.org/10.1016/j.heares.2023.108923

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

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

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

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

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

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

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

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

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

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

Jespersen, K. V., Pando-Naude, V., Koenig, J., Jennum, P. & Vuust, P. (2022). Listening to music for insomnia in adults. Cochrane Database of Systematic Reviews, 8(8), Article CD010459. https://doi.org/10.1002/14651858.CD010459.pub3

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

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

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

Costa, M. & Bonetti, L. (2017). Linear perspective and framing in the vista paradox. Perception, 46(11), 1245-1268.

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

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

Pearce, M. T. (2025). Learning to Listen, Listening to Learn: Music Perception and the Psychology of Enculturation. Oxford University Press. https://doi.org/10.1093/oso/9780198848004.001.0001

Lumaca, M., Dietz, M., Hansen, N. C., Quiroga Martinez, D. R. & Vuust, P. (2019). Learning of complex auditory patterns changes intrinsic and feedforward effective connectivity between Heschl’s gyrus and planum temporale. bioRxiv. https://doi.org/10.1101/848416

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

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