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Center for Music in the Brain

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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

Cook, P. F., Flem, S., Madsen, P. T., Ravignani, A., Gremore, P., Hood, C., Jadoul, Y., Papageorgiou, D., Pedersen, M., Raimondi, T., Rouse, A., Sørensen, P. M., Videsen, S. & King, S. L. (2026). Marine mammals as models for charting the evolution of social vocal rhythm. BMC Biology, 24(1), Article 175. https://doi.org/10.1186/s12915-026-02675-8

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. The 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. https://doi.org/10.1177/0301006617713091

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

Kakihara, M., Martin, M., van der Werff, J., Ravignani, A., Fasano, M. C., Overgaard, M. S., Keller, P. & Lumaca, M. (2024). Learning and transmission of rhythmic information is associated with working memory and sensorimotor synchronization skill. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

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

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

Toiviainen, P., Alluri, V. & Brattico, E. (2015). Lateralized modulation of amygdala connectivity by valence during continuous music listening. Abstract from ICME4, Geneve, Switzerland.

Varlet, M., Lenc, T., Nozaradan, S., Poeppel, D. & Keller, P. E. (2026). Lateralised neural mechanisms facilitate auditory self-other distinction and coordination in human dyads. PLOS Biology, 24(8), Article e3003935. https://doi.org/10.1371/journal.pbio.3003935

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

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

Petersen, B. (2018). KUV på Det Jyske Musikkonservatorium. In KUV-netværkets årbog 2018 (pp. 50)

Petersen, B. (Ed.) (2018). KUV-netværkets årbog 2018. https://www.musikkons.dk/fileadmin/Lyd/FOKU/KUV-%C3%A5rbog_2018/KUV-netv%C3%A6rkets_a%CC%8Arbog_2018.pdf

Paldam, E., Steensgaard, R., Gebauer, L. & Lundsgård, S. S. (2020, Jun). Klub Klods: Materiale til sociale læringsforløb. https://pure.au.dk/portal/en/activities/klub-klods-materiale-til-sociale-laeringsforloeb(52a06b30-71fa-43e5-bc65-5ddf7728d2a4).html

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

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

Haumann, N. T., Petersen, B., Seeberg, A. B., Vuust, P. & Brattico, E. (2025). It takes experience to tango: Experienced cochlear implant users show cortical evoked potentials to naturalistic music. bioRxiv. https://doi.org/10.1101/2025.06.04.657805

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

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

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

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

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