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Center for Music in the Brain

Our publications

Timm, L., Vuust, P., Brattico, E., Agrawal, D., Debener, S., Buechner, A., Dengler, R. & Wittforth, M. (2014). Residual neural processng of musical sound features in adult cochlear implant users. Frontiers in Human Neuroscience, 8. https://doi.org/10.3389/fnhum.2014.00181

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Reply to ‘Towards a cross-cultural framework for predictive coding of music’. Nature Reviews Neuroscience, 23(10), 641-642. https://doi.org/10.1038/s41583-022-00621-5

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Reply to Martin-Saavedra and Saade-Lemus. Pain, 160(6), 1483-1484. https://doi.org/10.1097/j.pain.0000000000001534

Løkke, A., Kaasgaard, M., Andreasson, K. H., Rasmussen, D. B., Hilberg, O., Vuust, P. & Bodtger, U. (2022). Reply: The effectiveness of singing versus exercise training. The European respiratory journal, 59(6). https://doi.org/10.1183/13993003.03051-2021

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., Lindenberger, U. & Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Abstract from INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Poster session presented at INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network neuroscience (Cambridge, Mass.), 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Prados, F., S Solanky, B., Alves da Mota, P., Cardoso, M. J., Brownlee, WJ., Riemer, F., Miller, DH., Golay, X., Ourselin, S. & Gandini Wheeler-Kingshott, CAM. (2016). Regional variation of total sodium concentration in the healthy human brain.. Poster session presented at International Society for Magnetic Resonance in Medicine: 24th Annual Meeting.

Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

Bodak, R., Malhotra, P., Bernardi, N. F., Cocchini, G. & Stewart, L. (2014). Reducing chronic visuo-spatial neglect following right hemisphere stroke through instrument playing. Frontiers in Human Neuroscience, 8, 413. https://doi.org/10.3389/fnhum.2014.00413

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), [e12901]. https://doi.org/10.1111/jsr.12901

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, [102299]. https://doi.org/10.1016/j.nicl.2020.102299

Thompson, W. F., Marin, M. M. & Stewart, L. (2013). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis (vol 109, pg 19027, 2012). Proceedings of the National Academy of Sciences of the United States of America, 110(7), 2676-2676. https://doi.org/10.1073/pnas.1222350110

Thompson, W. F., Marin, M. M. & Stewart, L. (2012). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 109(46), 19027-32. https://doi.org/10.1073/pnas.1210344109

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Rømer Thomsen, K., Whybrow, P. C. & Kringelbach, M. L. (2015). Reconceptualizing anhedonia: novel perspectives on balancing the pleasure networks in the human brain. Frontiers in Behavioral Neuroscience, 9(49). https://doi.org/10.3389/fnbeh.2015.00049

Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G., Kringelbach, M. L., Stamatakis, E. A. & Kuceyeski, A. (2022). Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications, 13(1), [5812]. https://doi.org/10.1038/s41467-022-33578-1

Stewart, L., Walsh, V. & Frith, U. (2004). Reading music modifies spatial mapping in pianists. Attention, Perception & Psychophysics, 66(2), 183-95.

Deco, G., Sanz Perl, Y., Vuust, P., Tagliazucchi, E., Kennedy, H. & Kringelbach, M. L. (2021). Rare long-range cortical connections enhance human information processing. Current Biology, 31(20), 4436-4448.e5. https://doi.org/10.1016/j.cub.2021.07.064

Bonetti, L., Brattico, E., Carlomagno, F., Donati, G., Cabral, J., Haumann, N. T., Deco, G., Vuust, P. & Kringelbach, M. L. (2021). Rapid encoding of musical tones discovered in whole-brain connectivity. NeuroImage, 245, [118735]. https://doi.org/10.1016/j.neuroimage.2021.118735

Brattico, E., Bonetti, L., Ferretti, G., Vuust, P. & Matrone, C. (2021). Putting Cells in Motion: Advantages of Endogenous Boosting of BDNF Production. Cells, 10(1), [183]. https://doi.org/10.3390/cells10010183

McCulloch, D. E. W., Knudsen, G. M., Barrett, F. S., Doss, M. K., Carhart-Harris, R. L., Rosas, F. E., Deco, G., Kringelbach, M. L., Preller, K. H., Ramaekers, J. G., Mason, N. L., Müller, F. & Fisher, P. M. D. (2022). Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses. Neuroscience and Biobehavioral Reviews, 138, [104689]. https://doi.org/10.1016/j.neubiorev.2022.104689

Burunat, I., Brattico, E. & Toiviainen, P. (2015). Prominent cerebello-hippocampal connectivity in musicians during music listening. Abstract from Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, United Kingdom.

Kliuchko, M., Tervaniemi, M., Vuust, P. & Brattico, E. (2018). Probing the functional specialization of auditory encoding following musical training with multi-feature MMN paradigms. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Stewart, L. (2002). Probing perceptual asynchrony. Trends in Cognitive Sciences, 6(4), 153.

Jakubowski, K., Farrugia, N. & Stewart, L. (2016). Probing imagined tempo for music: Effects of motor engagement and musical experience. Psychology of Music, 44(6), 1274-1288. https://doi.org/10.1177/0305735615625791

Stewart, L. (2001). Priming: a tool for imaging. Trends in Cognitive Sciences, 5(12), 511.

Omigie, D. & Stewart, L. (2011). Preserved statistical learning of tonal and linguistic material in congenital amusia. Frontiers in Psychology, 2, 109. https://doi.org/10.3389/fpsyg.2011.00109

Nwebube, C., Glover, V. & Stewart, L. (2017). Prenatal listening to songs composed for pregnancy and symptoms of anxiety and depression: A pilot study. BMC Complementary and Alternative Medicine, 17(1), [256]. https://doi.org/10.1186/s12906-017-1759-3

Gebauer, L., Kringelbach, M. L. & Vuust, P. (2015). Predictive coding links perception, action, and learning to emotions in music. Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews, 13, 50-52. https://doi.org/10.1016/j.plrev.2015.04.023

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

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

Mencke, I., Quiroga-Martinez, D. R., Omigie, D., Michalareas, G., Schwarzacher, F., Haumann, N. T., Vuust, P. & Brattico, E. (2021). Prediction under uncertainty: Dissociating sensory from cognitive expectations in highly uncertain musical contexts. Brain Research, 1773, [147664]. https://doi.org/10.1016/j.brainres.2021.147664

Ross, S., Brattico, E., Herrojo Ruiz, M. & Stewart, L. (2017). Predicting pitch from action in expert musicians. Poster session presented at Aarhus University Graduate School of Health, PhD Day 2017, Aarhus, Denmark.

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

Takegata, R., Brattico, E., Tervaniemi, M., Varyagina, O., Naatanen, R. & Winkler, M. (2005). Preattentive representation of feature conjunctions for concurrent spatially distributed auditory objects. Brain Research, 25(1), 169-179. https://doi.org/10.1016/j.cogbrainres.2005.05.006

Seppanen, M., Brattico, E. & Tervaniemi, M. (2007). Practice strategies of musicians modulate neural processing and the learning of sound-patterns. Neurobiology of Learning and Memory, 87(2), 236-247. https://doi.org/10.1016/j.nlm.2006.08.011

Stark, E. A., Parsons, C. E., Hartevelt, T. J. V., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A. & Kringelbach, M. L. (2015). Post-traumatic stress influences the brain even in the absence of symptoms: A systematic, quantitative meta-analysis of neuroimaging studies. Neuroscience & Biobehavioral Reviews, 56, 207-221. https://doi.org/10.1016/j.neubiorev.2015.07.007

Fjældstad, A., van Hartevelt, T. J. & Kringelbach, M. L. (2016). Pleasure of Food in the Brain. In B. Piqueras-Fiszman & C. Spence (Eds.), Multisensory Flavor Perception: From Fundamental Neuroscience Through to the Marketplace (pp. 211-234). Woodhead Publishing. https://doi.org/10.1016/B978-0-08-100350-3.00011-0

Berridge, K. C. & Kringelbach, M. L. (2015). Pleasure Systems in the Brain. Neuron, 86(3), 646-664. https://doi.org/10.1016/j.neuron.2015.02.018

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

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.

Møller, C., Højlund, A., Hansen, N. C. & Vuust, P. (2018). Pitch-related mismatch negativity as an index of musical aptitude. Poster session presented at MMN2018: The 8th Mismatch Negativity conference, Helsinki, Finland.

Kaasgaard, M., Rasmussen, D. B., Løkke, A., Vuust, P., Hilberg, O. & Bodtger, U. (2022). Physiological changes related to 10 weeks of singing for lung health in patients with COPD. B M J Open Respiratory Research, 9(1), [e001206]. https://doi.org/10.1136/bmjresp-2022-001206

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

Ahrends, C., Bravo, F., Kringelbach, M. L., Vuust, P. & Rohrmeier, M. A. (2019). Pessimistic outcome expectancy does not explain ambiguity aversion in decision-making under uncertainty. Scientific Reports, 9, [12177]. https://doi.org/10.1038/s41598-019-48707-y

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Demertzi, A., Bonhomme, V., Martial, C., Panda, R., Annen, J., Ibañez, A., Kringelbach, M., Deco, G., Laufs, H., Sitt, J., Laureys, S. & Tagliazucchi, E. (2021). Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness. PLOS Computational Biology, 17(7), [e1009139]. https://doi.org/10.1371/journal.pcbi.1009139

Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A. & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56. https://doi.org/10.1016/j.neuroimage.2017.12.009

Displaying results 151 to 200 out of 646

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Revised 26.03.2021

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Hella Kastbjerg