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Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 15-39.

Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 13(2 SUPPL.), 15-39. https://doi.org/10.1177/1029864909013002031

Matthews, T., Stupacher, J. & Vuust, P. (2023). The pleasurable urge to move to music through the lens of learning progress. Journal of Cognition, 6(1), Article 55. https://doi.org/10.5334/joc.320

Kringelbach, M. L., Sanz Perl, Y. & Deco, G. (2024). The Thermodynamics of Mind. Trends in Cognitive Sciences, 28(6), 568-581. https://doi.org/10.1016/j.tics.2024.03.009

Brattico, E., Bogert, B. & Jacobsen, T. (2013). Toward a neural chronometry for the aesthetic experience of music. Frontiers in Psychology, 4, Article 206. https://doi.org/10.3389/fpsyg.2013.00206

Deco, G., Perl, Y. S., Jerotic, K., Escrichs, A. & Kringelbach, M. L. (2025). Turbulence as a framework for brain dynamics in health and disease. Neuroscience and Biobehavioral Reviews, 169, Article 105988. https://doi.org/10.1016/j.neubiorev.2024.105988

Vohryzek, J., Cabral, J., Vuust, P., Deco, G. & Kringelbach, M. L. (2022). Understanding brain states across spacetime informed by whole-brain modelling. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2227), Article 20210247. https://doi.org/10.1098/rsta.2021.0247

Heng, J. G., Zhang, J., Bonetti, L., Lim, W. P. H., Vuust, P., Agres, K. & Chen, S. H. A. (2024). Understanding music and aging through the lens of Bayesian inference. Neuroscience and Biobehavioral Reviews, 163, Article 105768. https://doi.org/10.1016/j.neubiorev.2024.105768

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Keller, P. E. (2023). Integrating theory and models of musical group interaction. Trends in Cognitive Sciences, 27(12), 1105-1106. https://doi.org/10.1016/j.tics.2023.07.008

de Fleurian, R., Harrison, P. M. C., Pearce, M. T. & Quiroga-Martinez, D. R. (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences (PNAS), 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). 'Uncertainty attunement' has explanatory value in understanding autistic anxiety. Trends in Cognitive Sciences, 25(12), 1011-1012. https://doi.org/10.1016/j.tics.2021.09.006

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. IEEE Engineering in Medicine and Biology Society Conference Proceedings, 4120-4123.

Kübler, Nijboer, Mellinger, Matuz, Kleber, B., Eitel-Braitsch, Sellers, Vaughan, Wolpaw & Birbaumer (2005). Brain-computer interfaces - Communication with the P300. Psychophysiology, 19, 128-128.

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

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923

Brattico, E., Jacobsen, T., De Baene, W., Nakai, N. & Tervaniemi, M. (2003). Electrical brain responses to descriptive versus evaluative judgments of music. Annals of the New York Academy of Sciences, 155-157. https://doi.org/10.1196/annals.1284.018

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2009). Electrophysiological correlates of aesthetic music processing comparing experts with laypersons. Annals of the New York Academy of Sciences, 355-358. https://doi.org/10.1111/j.1749-6632.2009.04846.x

Tervaniemi, M., Tupala, T. & Brattico, E. (2012). Expertise in folk music alters the brain processing of Western harmony. Annals of the New York Academy of Sciences, 147-151. https://doi.org/10.1111/j.749-6632.2011.06428.x

James, A., Fernandes, H., Alves da Mota, P. & Hough, M. (2017). Frontostriatal dysconnectivity in adolescent onset schizophrenia and its associations with cognition: An MRI volumetric and diffusion tensor imaging study. European Psychiatry, 41, S59.

Liu, C., Fa, R., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Scalable clustering based on enhanced-smart for large-scale fMRI datasets. I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 962-966.

Puolivali, T., Cong, F., Alluri, V., Lin, Q.-H., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music. International Conference on Acoustics Speech and Signal Processing ICASSP, 1310-1314.

Brattico, E. & Jacobsen, T. (2009). Subjective Appraisal of Music Neuroimaging Evidence. Annals of the New York Academy of Sciences, 308-317. https://doi.org/10.1111/j.1749-6632.2009.04843.x

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

Brattico, E., Brattico, P. & Vuust, P. (2017). The forgotten artist: Why to consider intentions and interaction in a model of aesthetic experience: Comment on "Move me, astonish me... delight my eyes and brain: The Vienna Integrated Model of top-down and bottom-up processes in Art Perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlates" by Matthew Pelowski et al. Physics of Life Reviews, 21, 128-130. https://doi.org/10.1016/j.plrev.2017.06.014

Møller, C. (2021). At klappe i takt. Turbulens.net : forum for samtidsrefleksion. https://turbulens.net/at-klappe-i-takt/

Petersen, B. (2017). Musical Ear Training Through Active Music Making in Adolescent CI Users. Bits and Pieces, CICS Cochlear Implanted Children's Support Group, (Summer Newsletter), 13-17.

Møller, C. (2018). Ph.d-stafet: At høre med øjnene. P - Psykologernes fagmagasin, 4. årgang(10), 26-28.

Peretz, T., Brattico, E. & Tervaniemi, M. (2005). Abnormal electrical brain responses to pitch in congenital amusia. Annals of Neurology, 58(3), 478-482. https://doi.org/10.1002/ana.20606

James, A., Joyce, E., Lunn, D., Kenny, L., Hough, M., Ghataorhe, P., Fernandes, H., Mathews, P. & Zarei, M. (2016). Abnormal frontostriatal connectivity in adolescent-onset schizophrenia and its relationship to cognitive functioning. European Psychiatry, 35, 32-38.

Stupacher, J., Wrede, M. & Vuust, P. (2022). A brief and efficient stimulus set to create the inverted U-shaped relationship between rhythmic complexity and the sensation of groove. PLOS ONE, 17(5), Article e0266902. https://doi.org/10.1371/journal.pone.0266902

Shestakova, A., Brattico, E., Huotilainen, M., Galunov, U., Soloviev, A., Sams, M., Ilmoniemi, RJ. & Naatanen, R. (2002). Abstract phoneme representations in the left temporal cortex: magnetic mismatch negativity study. NeuroReport, 13(14), 1813-1816.

Witek, M. A. G., Liu, J., Kuubertzie, J., Yankyera, A. P., Adzei, S. & Vuust, P. (2020). A critical cross-cultural study of sensorimotor and groove responses to syncopation among Ghanaian and American university students and staff. Music Perception, 37(4), 278-297. https://doi.org/10.1525/MP.2020.37.4.278

Hansen, N. C., Treider, J. M. G., Swarbrick, D., Bamford, J. S., Wilson, J. & Vuoskoski, J. K. (2021). A Crowd-Sourced Database of Coronamusic: Documenting Online Making and Sharing of Music During the COVID-19 Pandemic. Frontiers in Psychology, 12, Article 684083. https://doi.org/10.3389/fpsyg.2021.684083

Burunat, I., Brattico, E., Puoliväli, T., Ristaniemi, T., Sams, M. & Toiviainen, P. (2015). Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening. PLOS ONE, 10(9), e0138238. https://doi.org/10.1371/journal.pone.0138238

Stewart, L., Verdonschot, R. G., Nasralla, P. & Lanipekun, J. (2013). Action-perception coupling in pianists: learned mappings or spatial musical association of response codes (SMARC) effect? Quarterly Journal of Experimental Psychology, 66(1), 37-50. https://doi.org/10.1080/17470218.2012.687385

Kajihara, T., Verdonschot, R. G., Sparks, J. & Stewart, L. (2013). Action-perception coupling in violinists. Frontiers in Human Neuroscience, 7, 349. https://doi.org/10.3389/fnhum.2013.00349

Seeberg, A. B., Trusbak Haumann, N., Højlund, A., Andersen, A. S., F. Faulkner, K., Brattico, E., Vuust, P. & Petersen, B. (2023). Adapting to the Sound of Music - Development of Music Discrimination Skills in Recently Implanted CI Users. Trends in Hearing, 27. https://doi.org/10.1177/23312165221148035

Jakubowski, K., Müllensiefen, D. & Stewart, L. (2017). A developmental study of latent absolute pitch memory. Quarterly Journal of Experimental Psychology, 70(3), 434-443. https://doi.org/10.1080/17470218.2015.1131726

Brattico, E. & Varankaitė, U. (2019). Aesthetic empowerment through music. Musicae Scientiae, 23(3), 285-303. https://doi.org/10.1177/1029864919850606

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2010). Aesthetic judgments of music in experts and laypersons - An ERP study. International Journal of Psychophysiology, 76(1), 40-51. https://doi.org/10.1016/j.ijpsycho.2010.02.002

Istok, E., Brattico, E., Jacobsen, T., Krohn, K., Mueller, M. & Tervaniemi, M. (2009). Aesthetic responses to music: A questionnaire study. Musicae Scientiae, 13(2), 183-206.

Frascaroli, J., Leder, H., Brattico, E. & Van De Cruys, S. (2024). Aesthetics and predictive processing: Grounds and prospects of a fruitful encounter. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220410. https://doi.org/10.1098/rstb.2022.0410

Saarikallio, S., Nieminen, S. & Brattico, E. (2013). Affective reactions to musical stimuli reflect emotional use of music in everyday life. Musicae Scientiae, 17(1), 27-39. https://doi.org/10.1177/1029864912462381

Ellison, D., Moisseinen, N., Facher, J. & Brattico, E. (2015). Affective versus cognitive neural responses to musical chords in adults: an ERP and behavioural study. Psychomusicology: Music, Mind & Brain, 25(4), 423.

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

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

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

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

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

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Revised 20.09.2024

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Hella Kastbjerg