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Quiroga-Martinez, D. R., Fernández-Rubio, G., Bonetti, L., Achyutuni, K. G., Tzovara, A., Knight, R. T. & Vuust, P. (2024). Decoding reveals the neural representation of perceived and imagined musical sounds. PLOS Biology, 22(10), Article e3002858. https://doi.org/10.1371/journal.pbio.3002858

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), Article 708. https://doi.org/10.1038/s41598-018-19177-5

Lumaca, M., Pearce, M. T., Keller, P. E., Vuust, P., Brattico, E., Baggio, G., Hat, K., Heggli, O. A. & Sandberg, K. (2026). Decoding everyday levels of musical training from subcortical white-matter architecture. Imaging Neuroscience, 4, Article IMAG.a.1325. https://doi.org/10.1162/IMAG.a.1325

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), Article 854. https://doi.org/10.1038/s42003-021-02369-7

Abu-Jamous, B., Liu, C., Roberts, D. J., Brattico, E. & Nandi, A. (2017). Data-driven analysis of collections of big datasets by the Bi-CoPaM method yields field-specific novel insights. In Frontiers in Electronic Technologies - Trends and Challenges (pp. 25-53). Springer. https://doi.org/10.1007/978-981-10-4235-5_2

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, Article 110069. https://doi.org/10.1016/j.chaos.2020.110069

Ahrends, C., Stevner, A., Pervaiz, U., Kringelbach, M. L., Vuust, P., Woolrich, M. W. & Vidaurre, D. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage, 252, Article 119026. https://doi.org/10.1016/j.neuroimage.2022.119026

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. (2019). Danish Validation of Sniffin’ Sticks Olfactory Test for Threshold, Discrimination, and Identification. Poster session presented at Dansk Selskab for Oto-rhino-laryngologi, Hoved-Halskirurgi: DSOHH årsmøde, Nyborg, Denmark.

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. W. (2018). Danish Validation of Sniffin' Sticks Olfactory Test for Threshold, Discrimination, and Identification. The Laryngoscope, 128(8), 1759-1766. https://doi.org/10.1002/lary.27052

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423. https://doi.org/10.1162/ARTL_a_00238

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10(1), Article 10015. https://doi.org/10.1038/s41598-020-66529-1

Morrison, S., Demorest, S. & Pearce, M. (2019). Cultural Distance: A Computational Approach to Exploring Cultural Influences on Music Cognition. In M. Thaut & D. Hodges (Eds.), Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.3

Ponce-Alvarez, A., Kringelbach, M. L. & Deco, G. (2023). Critical scaling of whole-brain resting-state dynamics. Communications Biology, 6(1), Article 627. https://doi.org/10.1038/s42003-023-05001-y

Brattico, E. & Tervaniemi, M. (2010). Creativity in musicians: Evidence from cognitive neuroscience. In Studies in Systematic Musicology: Festschrift in Honor of Professor Albrecht Schneider (pp. 233-244). Peter Lang.

Da Mota, P. A., Fernandes, H. M., Lourenço Queiroga, A. T., Stark, E., Vohryzek, J., Cabral, J., Heggli, O. A., Sousa, N., Deco, G., Kringelbach, M. & Vuust, P. (2025). Creativity in Music: The Brain Dynamics of Jazz Improvisation. Annals of the New York Academy of Sciences, 1553(1), 350-362. https://doi.org/10.1111/nyas.70042

Applewhite, B., Delattre, B., Singh, I., Kringelbach, M. & Spiegler, O. (2025). Creative arts-based interventions for the improvement of PTSD symptoms in young people: a meta-analysis with a focus on non-Western populations. Nature Mental Health, 3(12), 1616–1632. https://doi.org/10.1038/s44220-025-00543-y

Kohler, N., Novembre, G., Gugnowska, K., Keller, P. E., Villringer, A. & Sammler, D. (2023). Cortico-cerebellar audio-motor regions coordinate self and other in musical joint action. Cerebral Cortex, 33(6), 2804-2822. https://doi.org/10.1093/cercor/bhac243

Overath, T., Kumar, S., Stewart, L., von Kriegstein, K., Cusack, R., Rees, A. & Griffiths, T. D. (2010). Cortical mechanisms for the segregation and representation of acoustic textures. The Journal of neuroscience, 30(6), 2070-6. https://doi.org/10.1523/JNEUROSCI.5378-09.2010

Brattico, E., Tervaniemi, M., Valimaki, V., Van Zuijen, T. & Peretz, T. (2003). Cortical correlates of acquired deafness to dissonance. Annals of the New York Academy of Sciences, 158-160. https://doi.org/10.1196/annals.1284.019

Mårup, S. H., Møller, C. & Vuust, P. (2022). Coordination of voice, hands and feet in rhythm and beat performance. Scientific Reports, 12(1), Article 8046 . https://doi.org/10.1038/s41598-022-11783-8

Brattico, E., Naatanen, R. & Tervaniemi, M. (2001). Context effects on pitch perception in musicians and nonmusicians: Evidence from event-related-potential recordings. Music Perception, 19(2), 199-222.

Tiihonen, M., Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017). Constituents of music and visual-art related pleasure - A critical integrative literature review. Frontiers in Psychology, 8(JUL), Article 1218. https://doi.org/10.3389/fpsyg.2017.01218

Di Stefano, N., Vuust, P. & Brattico, E. (2022). Consonance and dissonance perception: A critical review of the historical sources, multidisciplinary findings, and main hypotheses. Physics of Life Reviews, 43, 273-304. https://doi.org/10.1016/j.plrev.2022.10.004

Van Maldegem, M., Vohryzek, J., Atasoy, S., Alnagger, N., Cardone, P., Bonhomme, V., Vanhaudenhuyse, A., Demertzi, A., Jaquet, O., Bahri, M. A., Nunez, P., Kringelbach, M. L., Stamatakis, E. A. & Luppi, A. I. (2025). Connectome harmonic decomposition tracks the presence of disconnected consciousness during ketamine-induced unresponsiveness. British Journal of Anaesthesia, 134(4), 1088-1104. https://doi.org/10.1016/j.bja.2024.12.036

Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G. & Carhart-Harris, R. L. (2017). Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD. Scientific Reports, 7(1), Article 17661. https://doi.org/10.1038/s41598-017-17546-0

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Connectivity patterns during music listening: Evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955-2970. https://doi.org/10.1002/hbm.23565

Williamson, V. J. & Stewart, L. (2013). Congenital amusia. Handbook of Clinical Neurology, 111, 237-9. https://doi.org/10.1016/B978-0-444-52891-9.00024-5

Stewart, L. (2006). Congenital amusia. Current Biology, 16(21), R904-6. https://doi.org/10.1016/j.cub.2006.09.054

Stewart, L. & Walsh, V. (2002). Congenital amusia: all the songs sound the same. Current Biology, 12(12), R420-1.

Garza-Villarreal, E. A., Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J., Chakravarty, M., Devenyi, G. A. & Vuust, P. (2017). Conectividad cortical de V1 y giro de Heschl y su relación con la modulación visuo-auditiva en músicos y no-músicos.. Poster session presented at XXXI Reunión Anual de Investigación del Instituto Nacional de Psiquiatría, Mexico City, Mexico, Mexico City, Mexico.

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (2022). Conclusion: A beam of light to conclude with. In T. Chemi, E. Brattico, L. O. Fjorback & L. Harma (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 285-287). Taylor & Francis. https://doi.org/10.4324/9781003158790-21

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A. M., Rosas, F. E., Qureshi, A. Y., Kuceyeski, A., Tagliazucchi, E., Raimondo, F., Deco, G., Shine, J. M., Kringelbach, M. L., Orio, P., Ching, S. N., Sanz Perl, Y., Diringer, M. N., Stevens, R. D. & Sitt, J. D. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275, Article 120162. https://doi.org/10.1016/j.neuroimage.2023.120162

Vuust, P., Liikala, L., Näätänen, R., Brattico, P. & Brattico, E. (2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 4(127), 2065-2077. https://doi.org/10.1016/j.clinph.2015.11.009

Deco, G., Sanz Perl, Y. & Kringelbach, M. L. (2025). Complex harmonics reveal low-dimensional manifolds of critical brain dynamics. Physical Review E, 111(1), Article 014410. https://doi.org/10.1103/PhysRevE.111.014410

Haumann, N. T., Parkkonen, L., Kliuchko, M., Vuust, P. & Brattico, E. (2016). Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. Computational Intelligence and Neuroscience, 2016, 1-10. Article 7489108. https://doi.org/10.1155/2016/7489108

Mencke, I., Seibert, C., Brattico, E. & Wald-Fuhrmann, M. (2023). Comparing the aesthetic experience of classic–romantic and contemporary classical music: An interview study. Psychology of Music, 51(1), 274-294. https://doi.org/10.1177/03057356221091312

Atasoy, S., Vohryzek, J., Deco, G., Carhart-Harris, R. L. & Kringelbach, M. L. (2018). Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition. In T. Calvey (Ed.), PSYCHEDELIC NEUROSCIENCE (pp. 97-120). Elsevier. https://doi.org/10.1016/bs.pbr.2018.08.009

Hansen, N. C., Dietz, M. & Vuust, P. (2017). Commentary: Predictions and the brain: how musical sounds become rewarding. Frontiers in Human Neuroscience, 11, Article 168. https://doi.org/10.3389/fnhum.2017.00168

Brattico, E. (2017). Commentary on" Aesthetic Experience Explained by the Affect-Space Framework" by E. Schubert, AC North & DJ Hargreaves. Empirical Musicology Review, 11(3-4), 350-353. https://doi.org/10.18061/emr.v11i3-4.5572

Brattico, E., Jacobsen, T., De Baene, W., Glerean, E. & Tervaniemi, M. (2010). Cognitive vs. affective listening modes and judgments of music - An ERP study. Biological Psychology, 85(3), 393-409. https://doi.org/10.1016/j.biopsycho.2010.08.014

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N. & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135. Article 5135. https://doi.org/10.1038/s41598-017-05425-7

Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J., Gjedde, A. & Carlson, S. (2010). Cognitive control in auditory working memory is enhanced in musicians. PLoS One, 5(6), Article 11120. https://doi.org/10.1371/journal.pone.0011120

Cheung, V. K. M., Harrison, P. M. C., Koelsch, S., Pearce, M. T., Friederici, A. D. & Meyer, L. (2024). Cognitive and sensory expectations independently shape musical expectancy and pleasure. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220420. https://doi.org/10.1098/rstb.2022.0420

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Clustering consistency in neuroimaging data analysis. In IEEE Proceedings of 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2015 (pp. 1118-1122). IEEE.

Jespersen, K. V. (2026). Clinical uses of music for sleep improvement. In Music and Sleep: A Scientific Perspective (pp. 207-224). Academic Press. https://doi.org/10.1016/B978-0-443-33651-5.00012-4

Petersen, B. (2017). Clinical applocations of music: The Sound of (Silence) Music. In Center for Music in the Brain : Annual Report 2016 (pp. 39-43) https://musicinthebrain.au.dk/fileadmin/user_upload/MIB_annual_report_for_web.pdf

Trusbak Haumann, N. (2022). Clinical applications of naturalistic MMN paradigms. 86. Abstract from The 9th Mismatch Negativity conference, Fukushima, Japan.

Moisseinen, N., Ahveninen, L., Martínez-Molina, N., Sairanen, V., Melkas, S., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2024). Choir singing is associated with enhanced structural connectivity across the adult lifespan. Human Brain Mapping, 45(7), Article e26705. https://doi.org/10.1002/hbm.26705

Eleuteri, V., van der Werff, J., Wilhelm, W., Soldati, A., Crockford, C., Desai, N., Fedurek, P., Fitzgerald, M., Graham, K. E., Koops, K., Pruetz, J., Samuni, L., Slocombe, K., Stoeger, A., Wilson, M. L., Wittig, R. M., Zuberbühler, K., Camara, H. D., Mamy, G. ... Hobaiter, C. (2025). Chimpanzee drumming shows rhythmicity and subspecies variation. Current Biology, 35(10), 2448-2456.e4. https://doi.org/10.1016/j.cub.2025.04.019

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Revised 20.09.2024

Hella Kastbjerg