Find

Center for Music in the Brain

Our publications

Gebauer, L., Højlund, A. & Vuust, P. (2018). The no-standard musical multi-feature paradigm (MuMUFE). Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Glomb, K., Kringelbach, M. L., Deco, G., Hagmann, P., Pearson, J. & Atasoy, S. (2021). Functional harmonics reveal multi-dimensional basis functions underlying cortical organization. Cell Reports, 36(8), [109554]. https://doi.org/10.1016/j.celrep.2021.109554

Gold, B. P., Frank, M. J., Bogert, B. & Brattico, E. (2013). Pleasurable music affects reinforcement learning according to the listener. Frontiers in Psychology, 4, [541]. https://doi.org/10.3389/fpsyg.2013.00541

Gold, B. P., Pearce, M. T., Mas-Herrero, E., Dagher, A. & Zatorre, R. J. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning? The Journal of neuroscience : the official journal of the Society for Neuroscience, 39(47), 9397-9409. https://doi.org/10.1523/JNEUROSCI.0428-19.2019

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

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, [279]. https://doi.org/10.3389/fnhum.2014.00279

Grube, M., Brandl, S., Kindermans, P-J., Blankertz, B., Daehne, S. & Mueller, K-R. (2018). Can we “find the beat”? Searching the beta band in the human EEG as a function of acoustic rhythmic regularity and in correlation with behaviour.. 1. Poster session presented at 11th FENS Forum of Neuroscience, Berlin, Germany.

Grube, M., Kumar, S., Smith, F., Slater, H. & Griffiths, TD. (2019). Neural substrates of auditory sequence processing and language skill in early-to-mid adolescence.. Poster session presented at Annual Midwinter Meeting of the Association for Research in Otolaryngology (ARO), Baltimore, United States.

Gugnowska, K., Novembre, G., Kohler, N., Villringer, A., Keller, P. E. & Sammler, D. (2022). Endogenous sources of interbrain synchrony in duetting pianists. Cerebral Cortex, 32(18), 4110-4127. https://doi.org/10.1093/cercor/bhab469

Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, [117470]. https://doi.org/10.1016/j.neuroimage.2020.117470

Hall, C. A., Kader, A. S., Danielle McHale, A. M., Stewart, L., Fick, G. H. & Vilke, G. M. (2013). Frequency of signs of excited delirium syndrome in subjects undergoing police use of force: Descriptive evaluation of a prospective, consecutive cohort. Journal of forensic and legal medicine, 20(2), 102-7. https://doi.org/10.1016/j.jflm.2012.05.008

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

Hansen, N. C., Loui, P., Vuust, P. & Pearce, M. (2015). Modelling short- and long-term statistical learning of music as a process of predictive entropy reduction. Paper presented at International Conference on Interdisciplinary Advances in Statistical Learning, San Sebastian, Spain.

Hansen, N. C. (2015). Nye perspektiver på studiet af musikalsk ekspertise. Dansk Musikforskning Online, Special Issue 2015: Music and Brain Research, 69-102. http://danishmusicologyonline.dk/arkiv/arkiv_dmo/dmo_saernummer_2015/dmo_saernummer_2015_musik_hjerneforskning_04.pdf

Hansen, N. C., Sadakata, M. & Pearce, M. (2016). Nonlinear Changes in the Rhythm of European Art Music: Quantitative Support for Historical Musicology. Music Perception, 33(4), 414. [2]. https://doi.org/10.1525/mp.2016.33.4.414

Hansen, N. C., Højlund, A., Møller, C., Pearce, M. & Vuust, P. (2016). Enhanced feature integration in musicians: Expertise modulates the additivity of the MMNm response. Poster session presented at 14th International Conference on Music Perception and Cognition, San Francisco, United States.

Hansen, N. C., Vuust, P. & Pearce, M. (2016). "If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music. P L o S One, 11(10), 1-20. [e0163584]. https://doi.org/10.1371/journal.pone.0163584

Hansen, N. C. (2016). Born and made: Musical experts are no geniuses. In Australian Music & Psychology Society Newsletter (Vol. 4, pp. 4-5). Australian Music & Psychology Society (AMPS). https://lookaside.fbsbx.com/file/AMPS%20newsletter%20edition%204.pdf?token=AWxsuJvWln5KE4PasMr2Y7g9h3ffBqEckwbQT2c8yFfMtBNpS0EwfYQZzqZTCYPW-r_7MWWvT5VEtWrAYq16-gzhs97PluCEzaFgkh1T0DDrbMl-dI34VJDCDJkNLMxuxvGadWiVC_Iu4BAQTRR7GBpH5yoNPN3fMab3uBGaEm7O-A

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

Hansen, N. C. (2020). The expectancy dynamics of anti-tonal twelve-tone rows: a commentary and reanalysis of von Hippel & Huron (2020). Empirical Musicology Review, 15(1-2), 128-140. https://doi.org/10.18061/emr.v15i1-2.7806

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, [684083]. https://doi.org/10.3389/fpsyg.2021.684083

Hansen, N. C., Kragness, H. E., Vuust, P., Trainor, L. & Pearce, M. T. (2021). Predictive Uncertainty Underlies Auditory Boundary Perception. Psychological Science, 32(9), 1416-1425. https://doi.org/10.1177/0956797621997349

Hansen, N. C. & Keller, P. E. (2021). Oxytocin as an allostatic agent in the social bonding effects of music. Behavioral and Brain Sciences, 44, 61-64. [75]. https://doi.org/10.1017/S0140525X20001235

Hansen, N. C., Wald-Fuhrmann, M. & Davidson, J. W. (2022). Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic. Frontiers in Psychology, 13, [910101]. https://doi.org/10.3389/fpsyg.2022.910101

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 http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018b.pdf

Harrison, P. & Pearce, M. (2018). Dissociating sensory and cognitive theories of harmony perception through computational modeling. In Proceedings of the 15th International Conference on Music Perception & Cognition http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018a.pdf

Harrison, P. M. C., Bianco, R., Chait, M. & Pearce, M. T. (2020). PPM-Decay: A computational model of auditory prediction with memory decay. PLOS Computational Biology, 16(11), [e1008304]. https://doi.org/10.1371/journal.pcbi.1008304

Harrison, P. M. C. & Pearce, M. T. (2020). Simultaneous Consonance in Music Perception and Composition. Psychological Review, 127(2), 216-244. https://doi.org/10.1037/rev0000169

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 Dansk Musikforskning Online http://www.danishmusicologyonline.dk/arkiv/arkiv_dmo/dmo_saernummer_2015/dmo_saernummer_2015_musik_hjerneforskning_01.pdf

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. https://doi.org/10.1155/2016/7489108

Haumann, N. T., Vuust, P., Bertelsen, F. C. B. & Garza-Villarreal, E. A. (2018). Influence of Musical Enculturation on Brain Responses to Metric Deviants. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2018.00218

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). https://doi.org/10.3390/app8050716

Heggli, O. A., Vuust, P. & Kringelbach, M. L. (2019). Please Please Me! The Pleasure of Music in the Brain. In The Routledge Companion to Music, Mind and Well-being (pp. 205-218). Routledge.

Heggli, O. A., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2019). Musical interaction is influenced by underlying predictive models and musical expertise. Scientific Reports, 9(1), [11048]. https://doi.org/10.1038/s41598-019-47471-3

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), [e1007422]. https://doi.org/10.1371/journal.pcbi.1007422

Heggli, O. A., Konvalinka, I., Cabral, J., Brattico, E., Kringelbach, M. & Vuust, P. (2021). Transient brain networks underlying interpersonal strategies during synchronized action. Social Cognitive and Affective Neuroscience, 16(1-2), 19-30. https://doi.org/10.1093/scan/nsaa056

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), [20200332]. https://doi.org/10.1098/rstb.2020.0332

Heggli, O. A., Stupacher, J. & Vuust, P. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science, 8(11). https://doi.org/10.1098/rsos.210885

Heinonen-Guzejev, M., Klyuchko, M., Heikkilä, K., Spinosa, V., Tervaniemi, M. & Brattico, E. (2014). Noise sensitivity modulates the auditory-cortex discrimination of sound feature changes. In INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control Australian Acoustical Society.

Heinonen-Guzejev, M., Kliuchko, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2017). Studying noise sensitivity on the brain level. Abstract from 12th ICBEN Congress on Noise as a Public Health Problem, Zurich, Switzerland.

Heinonen-Guzejev, M., Kliuchko, M., Vuust, P., Tervaniemi, M., Brattico, E., Shepherd, D., Heikkilä, K., Dirks, K. N., Hautus, M. J., Welch, D. & McBride, D. (2018). Studying the origins of noise sensitivity - negative affect or biological factors. 521-525. Paper presented at Euronoise, Heraklion, Greece. http://www.euronoise2018.eu/component/contentbuilder/details/11/110/euronoise-2018-10-health-effects-of-sound?Itemid=256&start=0

Hindriks, R., Woolrich, M., Luckhoo, H., Joensson, M., Mohseni, H., Kringelbach, M. L. & Deco, G. (2015). Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. NeuroImage, 106, 328-339. https://doi.org/10.1016/j.neuroimage.2014.10.057

Hove, M. J., Vuust, P. & Stupacher, J. (2019). Increased levels of bass in popular music recordings 1955-2016 and their relation to loudness. The Journal of the Acoustical Society of America, 145(4), 2247-2253. https://doi.org/10.1121/1.5097587

Hove, M. J., Martinez, S. A. & Stupacher, J. (2020). Feel the bass: Music presented to tactile and auditory modalities increases aesthetic appreciation and body movement. Journal of Experimental Psychology: General, 149(6), 1137-1147. https://doi.org/10.1037/xge0000708

Høgholt, N. F. & Kringelbach, M. L. (2019). Treating pregnancy-related insomnia with music and light: A neuroimaging study. In Frontiers Abstract Book (pp. 62-64). Frontiers Media SA.

Højlund, A., Horn, N. T., Sørensen, S. D., Mcgregor, W. & Wallentin, M. (2016). Foreign sound learning and mismatch negativity (MMN): a longitudinal ERP study. Poster session presented at SNL 2016, London, United Kingdom.

Iorio, C., Brattico, E., Munk Larsen, F., Vuust, P. & Bonetti, L. (2022). The effect of mental practice on music memorization. Psychology of Music, 50(1), 230-244. https://doi.org/10.1177/0305735621995234

Ipiña, I. P., Kehoe, P. D., Kringelbach, M., Laufs, H., Ibañez, A., Deco, G., Perl, Y. S. & Tagliazucchi, E. (2020). Modeling regional changes in dynamic stability during sleep and wakefulness. NeuroImage, 215, [116833]. https://doi.org/10.1016/j.neuroimage.2020.116833

Istok, E., Brattico, E., Jacobsen, T., Ritter, A. & Tervaniemi, M. (2013). 'I love Rock 'n' Roll' - Music genre preference modulates brain responses to music. Biological Psychology, 92(2), 142-151. https://doi.org/10.1016/j.biopsycho.2012.11.005

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.

Displaying results 201 to 250 out of 652

5

Revised 26.03.2021

-

Hella Kastbjerg