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Center for Music in the Brain

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Brownlee, WJ., Altmann, DR., Alves Da Mota, P., Swanton, JK., Miszkiel, KA., Gandini Wheeler-Kingshott, CAM., Ciccarelli, O. & Miller, DH. (2017). Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome. Multiple Sclerosis Journal, 23(5), 665–674. https://doi.org/10.1177/1352458516663034

Kleber, B., Sitges, C., Brattico, E., Vuust, P. & Zamorano, A. M. (2025). Association Between Interoceptive Accuracy and Pain Perception: Insights From Trained Musicians and Athletes. European journal of pain (London, England), 29(5), e70012. Article e70012. https://doi.org/10.1002/ejp.70012

Grimaldi, M., Sisinni, B., Fivela, B. G., Invitto, S., Resta, D., Alku, P. & Brattico, E. (2014). Assimilation of L2 vowels to L1 phonemes governs L2 learning in adulthood: a behavioral and ERP study. Frontiers in Human Neuroscience, 8, Article 279. https://doi.org/10.3389/fnhum.2014.00279

Petersen, B., Hansen, M., Sørensen, S. D., Ovesen, T. & Vuust, P. (2014). Aspects of Music with Cochlear Implants – Music Listening Habits and Appreciation in Danish Cochlear Implant Users. Abstract from International Symposium on Auditory and Audiological Research ISAAR 2013 “Auditory plasticity – Listening with the brain”, Nyborg, Denmark.

Petersen, B., Hansen, M., Sørensen, S. D., Ovesen, T. & Vuust, P. (2013). Aspects of Music with Cochlear Implants – Music Listening Habits and Appreciation in Danish Cochlear Implant Users. Poster session presented at International Symposium on Auditory and Audiological Research ISAAR 2013 “Auditory plasticity – Listening with the brain”, Nyborg, Denmark.

Clemente, A., Vila-Vidal, M., Pearce, M. T., Aguiló, G., Corradi, G. & Nadal, M. (2020). A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments. Behavior Research Methods, 52(4), 1491-1509. https://doi.org/10.3758/s13428-019-01329-8

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (Eds.) (2022). Arts and mindfulness education for human flourishing. Taylor & Francis. https://doi.org/10.4324/9781003158790

Hansen, N. C. & Reymore, L. (2021). Articulatory motor planning and timbral idiosyncrasies as underlying mechanisms of instrument-specific absolute pitch in expert musicians. PLoS One, 16(2 ), Article e0247136. https://doi.org/10.1371/journal.pone.0247136

Petersen, B. (2017). Arosian Stew: Tværgående rytmik og metriske modulationer. In B. Petersen (Ed.), Antologi over Kunstnerisk Udviklingsvirksomhed på Det Jyske Musikkonservatorium (pp. 76-86). Det jyske Musikkonservatorium.

Paldam, E., Roepstorff, A., Steensgaard, R., Lundsgård, S. S., Steensig, J. & Gebauer, L. (2022). A robot or a dumper truck? Facilitating play-based social learning across neurotypes. Autism & Developmental Language Impairments, 7. https://doi.org/10.1177/23969415221086714

Spinosa, V., Vitulli, A., Logroscino, G. & Brattico, E. (2023). A Review on Music Interventions for Frontotemporal Aphasia and a Proposal for Alternative Treatments. Biomedicines, 11(1), Article 84. https://doi.org/10.3390/biomedicines11010084

Etani, T., Miura, A., Kawase, S., Fujii, S., Keller, P. E., Vuust, P. & Kudo, K. (2024). A review of psychological and neuroscientific research on musical groove. Neuroscience and Biobehavioral Reviews, 158, Article 105522. https://doi.org/10.1016/j.neubiorev.2023.105522

Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2019). A randomized controlled trial of bedtime music for insomnia disorder. Journal of Sleep Research, 28(4), Article e12817. https://doi.org/10.1111/jsr.12817

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Article nsae026. https://doi.org/10.1093/scan/nsae026

Griffiths, T. D., Kumar, S., Warren, J. D., Stewart, L., Stephan, K. E. & Friston, K. J. (2007). Approaches to the cortical analysis of auditory objects. Hearing Research, 229(1-2), 46-53. https://doi.org/10.1016/j.heares.2007.01.010

Trusbak Haumann, N., Hansen, B., Huotilainen, M., Vuust, P. & Brattico, E. (2020). Applying stochastic spike train theory for high-accuracy human MEG/EEG. Journal of Neuroscience Methods, 340, Article 108743. https://doi.org/10.1016/j.jneumeth.2020.108743

Bruzzone, S. E. P., Trusbak Haumann, N., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Applying Spike-density component analysis for high-accuracy auditory event-related potentials in children. Clinical Neurophysiology, 132(8), 1887-1896. https://doi.org/10.1016/j.clinph.2021.05.007

Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2018). Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study. Applied Sciences, 8(5), Article 716. https://doi.org/10.3390/app8050716

Mohseni, H. R., Kringelbach, M. L., Smith, P. P., Green, A. L., Parsons, C. E., Young, K. S., Brittain, J.-S., Hyam, J. A., Schweder, P. M., Stein, J. F. & Aziz, T. Z. (2010). Application of a null-beamformer to source localisation in MEG data of deep brain stimulation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1, 4120-4123. https://doi.org/10.1109/IEMBS.2010.5627325

Suuronen, I., Luotonen, S., Railo, H., Airola, A., Bano, W., Merisaari, H., Pulli, E. P., Wigley, I. L. C. M., Vartiainen, E., Hashempour, N., Karlsson, H., Karlsson, L., Kringelbach, M. L., Batalle, D. & Tuulari, J. J. (2026). Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age. Communications Biology, 9(1), Article 211. https://doi.org/10.1038/s42003-025-09488-5

Coelho, A., Magalhães, R., Moreira, P. S., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C., Sousa, N. & Fernandes, H. M. (2022). A novel method for estimating connectivity-based parcellation of the human brain from diffusion MRI: Application to an aging cohort. Human Brain Mapping, 43(8), 2419-2443. https://doi.org/10.1002/hbm.25773

Floridou, G. A., Williamson, V. J. & Stewart, L. (2017). A novel indirect method for capturing involuntary musical imagery under varying cognitive load. Quarterly Journal of Experimental Psychology, 70(11), 2189-2199. https://doi.org/10.1080/17470218.2016.1227860

Haumann, N. T. (2015). An Introduction to Cognitive Musicology: Historical-Scientific Presuppositions in the Psychology of Music. In Dansk Musikforskning Online Særnummer, 2015: Musik- og hjerneforskning http://www.danishmusicologyonline.dk/arkiv/arkiv_dmo/dmo_saernummer_2015/dmo_saernummer_2015_musik_hjerneforskning_01.pdf

Pando-Naude, V., Matthews, T., Højlund, A., Johnsen, E., Garza Villarreal, E., Witek, M., Heggli, O., Kleber, B., Penhune, V. & Vuust, P. (2023). An fMRI study on the groove experience in Parkinson's disease. Paper presented at Interntational Conference of Music Perception and Cognition ICMPC17-APSCOM, Tokyo, Japan. https://doi.org/10.13140/RG.2.2.23884.18561

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Brattico, E. & Vuust, P. (2017). A new multifeature mismatch negativity (MMN) paradigm for the study of music perception with more real-sounding stimuli. Poster session presented at Donders Discussions 2017, Nejmegen, Netherlands.

Jadoul, Y., Hersh, T. A., Domingos, E. F., Gamba, M., Favaro, L. & Ravignani, A. (2025). An evolutionary model of rhythmic accelerando in animal vocal signalling. PLoS Computational Biology, 21(4), Article e1013011. https://doi.org/10.1371/journal.pcbi.1013011

Stewart, L. (2005). A neurocognitive approach to music reading. Annals of the New York Academy of Sciences, 1060, 377-86. https://doi.org/10.1196/annals.1360.032

Harrison, P. & Pearce, M. (2018). An energy-based generative sequence model for testing sensory theories of Western harmony. In Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018 (pp. 160-167). http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018b.pdf

Pando-Naude, V., Patyczek, A., Bonetti, L. & Vuust, P. (2021). An ALE meta-analytic review of top-down and bottom-up processing of music in the brain. Scientific Reports, 11(1), Article 20813. https://doi.org/10.1038/s41598-021-00139-3

Criscuolo, A., Pando-Naude, V., Bonetti, L., Vuust, P. & Brattico, E. (2022). An ALE meta-analytic review of musical expertise. Scientific Reports, 12(1), Article 11726. https://doi.org/10.1038/s41598-022-14959-4

Matthews, T. E., Vuust, P. & Cannon, J. (2026). An Active Inference Model of Meter Perception and the Urge to Move to Music. Annals of the New York Academy of Sciences, 1556(1), Article e70129. https://doi.org/10.1111/nyas.70129

Tanne, A., Ma, B., Boudou, F., Tailleux, L., Botella, H., Badell, E., Levillain, F., Taylor, M. E., Drickamer, K., Nigou, J., Dobos, K. M., Puzo, G., Vestweber, D., Wild, M. K., Marcinko, M., Sobieszczuk, P., Stewart, L., Lebus, D., Gicquel, B. & Neyrolles, O. (2009). A murine DC-SIGN homologue contributes to early host defense against Mycobacterium tuberculosis. Journal of Experimental Medicine, 206(10), 2205-20. https://doi.org/10.1084/jem.20090188

Bonetti, L. (2016). A minimalistic way for the guitar: new studies by Leonardo Bonetti. In International Guitar Research Center (IGRC), University of Surrey (England)

Heggli, O. A., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2021). A Metastable Attractor Model of Self-Other Integration (MEAMSO) in Rhythmic Synchronization. Philosophical Transactions of the Royal Society B: Biological Sciences, 376(1835), Article 20200332. https://doi.org/10.1098/rstb.2020.0332

Fernández Rubio, G. (2024). A magnetoencephalography study on the neural mechanisms of musical memory. Poster session presented at The Neurosciences and Music VIII, Helsinki, Finland.

Hoegholt, N. F., Bonetti, L., Stevner, A. B. A., Andersen, C. E., Fernandes, H. M., Vuust, P. & Kringelbach, M. L. (2023). A magnetoencephalography study of first-time mothers listening to infant cries. Cerebral Cortex, 33(10), 5896–5905. https://doi.org/10.1093/cercor/bhac469

Jespersen, K. V. (2022). A lullaby to the brain: The use of music as a sleep aid. In B. Colombo (Ed.), The Musical Neurons (pp. 53-63). Springer. https://doi.org/10.1007/978-3-031-08132-3

Jespersen, K. V. (2020). Altered functional connectivity in insomnia disorder. Abstract from 25th Congress of the European Sleep Research Society.

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2019). Altered brain connectivity in Insomnia Disorder. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

Figueroa, C. A., Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G., Expert, P., Schene, A. H., Kringelbach, M. L. & Ruhé, H. G. (2019). Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Human Brain Mapping, 40(9), 2771-2786. https://doi.org/10.1002/hbm.24559

Jensen, M. S., Heggli, O. A., Alves da Mota, P. & Vuust, P. (2017). A low-cost MRI compatible keyboard. In Proceedings of the international conference on new interfaces for musical expression (pp. 257-260)

Parsons, C. & Lyddy, F. (2015). A longitudinal study of early reading development in two languages: comparing literacy outcomes in Irish immersion, English medium and Gaeltacht schools. International Journal of Bilingual Education and Bilingualism. https://doi.org/10.1080/13670050.2015.1019412

Heggli, O. A., Cabral, J., Konvalinka, I., Vuust, P. & Kringelbach, M. L. (2019). A Kuramoto model of self-other integration across interpersonal synchronization strategies. PLoS Computational Biology, 15(10), Article e1007422. https://doi.org/10.1371/journal.pcbi.1007422

Duengen, D., Jadoul, Y. & Ravignani, A. (2025). A harbor seal (Phoca vitulina) shows extensive respiratory control in sound production. BMC Ecology and Evolution, 25(1), Article 90. https://doi.org/10.1186/s12862-025-02404-9

Criscuolo, A., Schwartze, M., Bonetti, L. & Kotz, SA. (2025). Aging Impacts Basic Auditory and Timing Processes. European Journal of Neuroscience, 61(5), Article e70031. https://doi.org/10.1111/ejn.70031

Bonetti, L., Fernández-Rubio, G., Lumaca, M., Carlomagno, F., Risgaard Olsen, E., Criscuolo, A., Kotz, S. A., Vuust, P., Brattico, E. & Kringelbach, M. L. (2024). Age-related neural changes underlying long-term recognition of musical sequences. Communications Biology, 7(1), Article 1036. https://doi.org/10.1038/s42003-024-06587-7

Haumann, N. T., Petersen, B., Vuust, P. & Brattico, E. (2023). Age differences in central auditory system responses to naturalistic music. Biological Psychology, 179, Article 108566. https://doi.org/10.1016/j.biopsycho.2023.108566

Brattico, E., Alluri, V., Bogert, B., Jacobsen, T., Vartiainen, N., Nieminen, S. & Tervaniemi, M. (2011). A functional MRI study of happy and sad emotions in music with and without lyrics. Frontiers in Psychology, 2, Article 308. https://doi.org/10.3389/fpsyg.2011.00308

Abalde, S. F., Rigby, A., Keller, P. E. & Novembre, G. (2024). A framework for joint music making: Behavioral findings, neural processes, and computational models. Neuroscience and Biobehavioral Reviews, 167, Article 105816. https://doi.org/10.1016/j.neubiorev.2024.105816

Foster Vander Elst, O., Foster, N. H. D., Vuust, P., Kringelbach, M. L. & Keller, P. (2023). A Framework for Dance Research. Poster session presented at 17th International Conference on Music Perception and Cognition (ICMPC), Tokyo, Japan.

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Hella Kastbjerg