Center for Music in the Brain

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Finkel, S., Veit, R., Lotze, M., Friberg, A., Vuust, P., Soekadar, S., Birbaumer, N. & Kleber, B. (2019). Intermittent theta burst stimulation over right somatosensory larynx cortex enhances vocal pitch-regulation in nonsingers. Human Brain Mapping, 40(7), 2174-2187. https://doi.org/10.1002/hbm.24515
Parsons, C. E., Young, K. S., Jegindø, E.-M. E., Stein, A. & Kringelbach, M. L. (2017). Interpreting infant emotional expressions: Parenthood has differential effects on men and women. Quarterly Journal of Experimental Psychology, 70(3), 554-564. https://doi.org/10.1080/17470218.2016.1141967
Fasano, M. C., Glerean, E., Gold, B. P., Sheng, D., Sams, M., Vuust, P., Rauschecker, J. P. & Brattico, E. (2020). Inter-subject Similarity of Brain Activity in Expert Musicians After Multimodal Learning: A Behavioral and Neuroimaging Study on Learning to Play a Piano Sonata. Neuroscience, 441, 102-116. https://doi.org/10.1016/j.neuroscience.2020.06.015
Liu, F., Patel, A. D., Fourcin, A. & Stewart, L. (2010). Intonation processing in congenital amusia: discrimination, identification and imitation. Brain, 133(Pt 6), 1682-93. https://doi.org/10.1093/brain/awq089
Omigie, D., Pearce, M., Lehongre, K., Hasboun, D., Navarro, V., Adam, C. & Samson, S. (2019). Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices. Journal of Cognitive Neuroscience, 31(6), 855-873. https://doi.org/10.1162/jocn_a_01388
Xu, Z., Shi, L., Hu, F., White, R., Stewart, L. & Yao, J. (2003). In utero development of central ANG-stimulated pressor response and hypothalamic fos expression. Developmental Brain Research, 145(2), 169-76.
Potash, R. M., Yang, W. F. Z., Winston, B., Atasoy, S., Kringelbach, M. L., Sparby, T. & Sacchet, M. D. (2025). Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis. Cerebral Cortex, 35(2), Article bhaf039. https://doi.org/10.1093/cercor/bhaf039
Fernández Rubio, G., Olsen, E. R., Klarlund, M., Mallon, O. P., Carlomagno, F., Vuust, P., Kringelbach, M. L., Brattico, E. & Bonetti, L. (2024). Investigating the impact of age on auditory short-term, long-term, and working memory. Psychology of Music, 52(2), 187-198. https://doi.org/10.1177/03057356231183404
Mariani Wigley, I. L. C., Lautarescu, A., Vartiainen, E., Pulli, E. P., Hashempour, N., Merisaari, H., Bano, W., Luotonen, S., Jolly, A., Suuronen, I., Karlsson, L., Karlsson, H., Cabral, J., Kringelbach, M. L., Batalle, D., Edwards, A. D. & Tuulari, J. J. (2026). Investigating the influence of maternal prenatal BMI and perinatal depressive symptoms on neonatal brain network dynamics. Pediatric Research. Advance online publication. https://doi.org/10.1038/s41390-025-04726-2
Jakubowski, K., Bashir, Z., Farrugia, N. & Stewart, L. (2018). Involuntary and voluntary recall of musical memories: A comparison of temporal accuracy and emotional responses. Memory and Cognition, 46(5), 741-756. https://doi.org/10.3758/s13421-018-0792-x
Lévêque, Y., Muggleton, N., Stewart, L. & Schön, D. (2013). Involvement of the larynx motor area in singing-voice perception: a TMS study(†). Frontiers in Psychology, 4, 418. https://doi.org/10.3389/fpsyg.2013.00418
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

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Hella Kastbjerg