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Center for Music in the Brain

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Zou, L.-Q., van Hartevelt, T. J., Kringelbach, M. L., Cheung, E. F. C. & Chan, R. C. K. (2016). The neural mechanism of hedonic processing and judgment of pleasant odors: An activation likelihood estimation meta-analysis. Neuropsychology, 30(8), 970-979. https://doi.org/10.1037/neu0000292

Zou, L.-Q., Zhou, H.-Y., Zhuang, Y., van Hartevelt, T. J., Lui, S. S. Y., Cheung, E. F. C., Møller, A., Kringelbach, M. L. & Chan, R. C. K. (2018). Neural responses during the anticipation and receipt of olfactory reward and punishment in human. Neuropsychologia, 111, 172-179. https://doi.org/10.1016/j.neuropsychologia.2018.02.003

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, Article 116311. https://doi.org/10.1016/j.neuroimage.2019.116311

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020). Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style. Journal of Cognitive Neuroscience, 32(12), 2241-2259. https://doi.org/10.1162/jocn_a_01614

Zhao, N., Lund, H. N. & Jespersen, K. V. (2024). A systematic review and meta-analysis of music interventions to improve sleep in adults with mental health problems. European Psychiatry, 67(1), Article e62. https://doi.org/10.1192/j.eurpsy.2024.1773

Zamorano, A. M., Cifre, I., Montoya, P., Riquelme, I. & Kleber, B. (2017). Insula-based networks in professional musicians: Evidence for increased functional connectivity during resting state fMRI. Human Brain Mapping, 38(10), 4834-4849. https://doi.org/10.1002/hbm.23682

Zamorano, A. M., Montoya, P., Cifre, I., Vuust, P., Riquelme, I. & Kleber, B. (2019). Experience-dependent neuroplasticity in trained musicians modulates the effects of chronic pain on insula-based networks – A resting-state fMRI study. NeuroImage, 202, Article 116103. https://doi.org/10.1016/j.neuroimage.2019.116103

Zamorano, A. M., Kleber, B., Arguissain, F., Vuust, P., Flor, H. & Graven-Nielsen, T. (2023). Extensive sensorimotor training enhances nociceptive cortical responses in healthy individuals. European Journal of Pain (United Kingdom), 27(2), 257-277. https://doi.org/10.1002/ejp.2057

Zamorano, A. M., Zatorre, R. J., Vuust, P., Friberg, A., Birbaumer, N. & Kleber, B. (2023). Singing training predicts increased insula connectivity with speech and respiratory sensorimotor areas at rest. Brain Research, 1813, Article 148418. https://doi.org/10.1016/j.brainres.2023.148418

Zamorano, A. M., Kleber, B., Arguissain, F., Boudreau, S., Vuust, P., Flor, H. & Graven-Nielsen, T. (2023). Extensive Sensorimotor Training Predetermines Central Pain Changes During the Development of Prolonged Muscle Pain. Journal of Pain, 24(6), 1039-1055. https://doi.org/10.1016/j.jpain.2023.01.017

Zamorano, A. M., De Martino, E., Insausti-Delgado, A., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Impact of Chronic Pain on Use-Dependent Plasticity: Corticomotor Excitability and Motor Representation in Musicians With and Without Pain. Brain Topography, 37(5), 874-880. https://doi.org/10.1007/s10548-023-01031-1

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

Young, K. S., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Motion and emotion: depression reduces psychomotor performance and alters affective movements in caregiving interactions. Frontiers in Behavioral Neuroscience, 9, 26. https://doi.org/10.3389/fnbeh.2015.00026

Young, K., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Depression alters movement in response to salient emotional sounds and in social interactions. Poster session presented at Neuroscience 2015, Chicago, IL, United States.

Young, K. S., Parsons, C. E., Jegindoe Elmholdt, E.-M., Woolrich, M. W., van Hartevelt, T. J., Stevner, A. B. A., Stein, A. & Kringelbach, M. L. (2016). Evidence for a Caregiving Instinct: Rapid Differentiation of Infant from Adult Vocalizations Using Magnetoencephalography. Cerebral Cortex, 26(3), 1309-21. https://doi.org/10.1093/cercor/bhv306

Young, K. S., Parsons, C. E., LeBeau, R. T., Tabak, B. A., Sewart, A. R., Stein, A., Kringelbach, M. L. & Craske, M. G. (2017). Sensing Emotion in Voices: Negativity Bias and Gender Differences in a Validation Study of the Oxford Vocal ('OxVoc') Sounds Database. Psychological Assessment, 29(8), 967-977. https://doi.org/10.1037/pas0000382

Young, K. S., Parsons, C. E., Stein, A., Vuust, P., Craske, M. G. & Kringelbach, M. L. (2017). The neural basis of responsive caregiving behaviour: Investigating temporal dynamics within the parental brain. Behavioural Brain Research, 325(Pt B), 105-116. https://doi.org/10.1016/j.bbr.2016.09.012

Yan, X., Joshi, A., Zang, Y., Assunção, F., Fernandes, H. M. & Hummel, T. (2022). The Shape of the Olfactory Bulb Predicts Olfactory Function. Brain sciences, 12(2), Article 128. https://doi.org/10.3390/brainsci12020128

Xu, Z., Shi, L., Hu, F., White, R., Stewart, L. & Yao, J. (2003). In utero development of central ANG-stimulated pressor response and hypothalamic fos expression. Brain Research, 145(2), 169-76.

Wong, W. W., Cabral, J., Rane, R., Ly, R., Kringelbach, M. L. & Feusner, J. D. (2021). Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder. Neuropsychopharmacology, 46(11), 2030-2038. https://doi.org/10.1038/s41386-021-01039-w

Witek, M. A. G., Kringelbach, M. L. & Vuust, P. (2015). Musical rhythm and affect: Comment on "The quartet theory of human emotions: An integrative and neurofunctional model" by S. Koelsch et al. Physics of Life Reviews. https://doi.org/10.1016/j.plrev.2015.04.029

Witek, M. A. G., Clarke, E. F., Kringelbach, M. L. & Vuust, P. (2014). Effects of polyphonic context, instrumentation, and metrical location on syncopation in music. Music Perception, 32(2), 201-217. https://doi.org/10.1525/MP.2014.32.2.201

Witek, M. A. G., Popescu, T., Clarke, E. F., Hansen, M., Konvalinka, I., Kringelbach, M. L. & Vuust, P. (2017). Syncopation affects free body-movement in musical groove. Experimental Brain Research, 235(4), 995-1005. https://doi.org/10.1007/s00221-016-4855-6

Witek, M. A. G. (2017). Filling In: Syncopation, Pleasure and Distributed Embodiment in Groove. Music Analysis, 36(1), 138–160 . https://doi.org/10.1111/musa.12082

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

Witek, M. A. G., Matthews, T., Bodak, R., Blausz, M. W., Penhune, V. & Vuust, P. (2023). Musicians and non-musicians show different preference profiles for single chords of varying harmonic complexity. PLOS ONE, 18(2 February), Article e0281057. https://doi.org/10.1371/journal.pone.0281057

Williamson, V. J., Liikkanen, L. A., Jakubowski, K. & Stewart, L. (2014). Sticky tunes: how do people react to involuntary musical imagery? PLOS ONE, 9(1), e86170. https://doi.org/10.1371/journal.pone.0086170

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

Williamson, V. J., Cocchini, G. & Stewart, L. (2011). The relationship between pitch and space in congenital amusia. Brain and Cognition, 76(1), 70-6. https://doi.org/10.1016/j.bandc.2011.02.016

Williamson, V. J. & Stewart, L. (2010). Memory for pitch in congenital amusia: beyond a fine-grained pitch discrimination problem. Memory, 18(6), 657-69. https://doi.org/10.1080/09658211.2010.501339

Williamson, V. J., McDonald, C., Deutsch, D., Griffiths, T. D. & Stewart, L. (2010). Faster decline of pitch memory over time in congenital amusia. Advances in Cognitive Psychology, 6, 15-22. https://doi.org/10.2478/v10053-008-0073-5

Williamson, V. J., Liu, F., Peryer, G., Grierson, M. & Stewart, L. (2012). Perception and action de-coupling in congenital amusia: sensitivity to task demands. Neuropsychologia, 50(1), 172-80. https://doi.org/10.1016/j.neuropsychologia.2011.11.015

Williamson, V. J., Jilka, S. R., Fry, J., Finkel, S., Muellensiefen, D. & Stewart, L. (2012). How do "earworms" start? Classifying the everyday circumstances of Involuntary Musical Imagery. Psychology of Music, 40(3), 259-284. https://doi.org/10.1177/0305735611418553

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2015). Impact of single dose intranasal oxytocin on recognition of core emotions and complex mental states in facial expressions: a systematic review and meta-analysis. Poster session presented at 10th Annual Psychiatry Research Day, Aarhus University Hospital, Denmark.

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2016). Effects of single-dose intranasal oxytocin on recognition of basic emotions and complex mental states in facial expressions: A systematic review and meta-analysis. Psychosomatic Medicine, 78(3), A42. https://doi.org/10.1097/PSY.0000000000000343

Wells, C. A., Salvage-Jones, J. A., Li, X., Hitchens, K., Butcher, S., Murray, R. Z., Beckhouse, A. G., Lo, Y.-L.-S., Manzanero, S., Cobbold, C., Schroder, K., Ma, B., Orr, S., Stewart, L., Lebus, D., Sobieszczuk, P., Hume, D. A., Stow, J., Blanchard, H. & Ashman, R. B. (2008). The macrophage-inducible C-type lectin, Mincle, is an essential component of the innate immune response to Candida albicans. Journal of Immunology, 180(11), 7404-7413.

Weinstein, D., Launay, J., Pearce, E., Dunbar, R. I. M. & Stewart, L. (2016). Group music performance causes elevated pain thresholds and social bonding in small and large groups of singers. Evolution and Human Behavior, 37(2), 152-158. https://doi.org/10.1016/j.evolhumbehav.2015.10.002

Wang, Q. J., Fernandes, H. & Fjaeldstad, A. W. (2021). Is perceptual learning generalisable in the chemical senses? A longitudinal pilot study based on a naturalistic blind wine tasting training scenario. Chemosensory Perception, 14(2), 64-74. https://doi.org/10.1007/s12078-020-09284-x

Wang, Q. J., Barbosa Escobar, F., Mathiesen, S. L. & Alves da Mota, P. (2021). Can Eating Make Us More Creative? A Multisensory Perspective. Foods, 10(2), Article 469. https://doi.org/10.3390/foods10020469

Wang, Q. J., Barbosa Escobar, F., Alves da Mota, P. & Velasco, C. (2021). Getting Started with Virtual Reality for Sensory and Consumer Science: Current practices and future perspectives. Food Research International, 145, Article 110410. https://doi.org/10.1016/j.foodres.2021.110410

Vuust, P., Brattico, E., Glerean, E., Seppänen, M., Pakarinen, S., Tervaniemi, M. & Näätänen, R. (2011). New fast mismatch negativity paradigm for determining the neural prerequisites for musical ability. Cortex, 47(9), 1091-8. https://doi.org/10.1016/j.cortex.2011.04.026

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

Vuust, P. & Kringelbach, M. L. (2017). Music Improvisation: A Challenge for Empirical Research. In R. Ashley & R. Timmers (Eds.), The Routledge Companion to Music Cognition (pp. 265-276). Routledge.

Vuust, P., Petersen, B., Sørensen, S. D. & Ross, S. (2017). Musik i hjernen: Resultatrapport for Masseeksperiment 2016. Astra.

Vuust, P. (2017). Musik på hjernen. People's Press.

Vuust, P., Dietz, M., Witek, M. & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. https://doi.org/10.1111/nyas.13622

Vuust, P. (2018). Groove on the Brain. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 101-110). Springer. https://doi.org/10.1007/978-3-030-01692-0_7

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Music in the brain. Nature Reviews Neuroscience, 23(5), 287-305. https://doi.org/10.1038/s41583-022-00578-5

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

Vohryzek, J., Deco, G., Cessac, B., Kringelbach, M. L. & Cabral, J. (2020). Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience, 14, Article 20. https://doi.org/10.3389/fnsys.2020.00020

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