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Center for Music in the Brain

Our publications

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

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

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

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.

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), [128]. https://doi.org/10.3390/brainsci12020128

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, 105-116. https://doi.org/10.1016/j.bbr.2016.09.012

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, [116103]. https://doi.org/10.1016/j.neuroimage.2019.116103

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, [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

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

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 of the United States of America, 116(42), 20813-20814. https://doi.org/10.1073/pnas.1913244116

van Hartevelt, T. J. & Kringelbach, M. L. (2015). The Olfactory Cortex. In A. W. Toga (Ed.), Brain Mapping (pp. 347-355). Academic Press. https://doi.org/10.1016/B978-0-12-397025-1.00235-9

van Hartevelt, T. J., Cabral, J., Møller, A., FitzGerald, J. J., Green, A. L., Aziz, T. Z., Deco, G. & Kringelbach, M. L. (2015). Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation. Frontiers in Behavioral Neuroscience, 9, 167. https://doi.org/10.3389/fnbeh.2015.00167

van Hartevelt, T. J. (2014). Olfactory Functioning in Parkinson's Disease: The Effects of Deep Brain Stimulation.

van Hartevelt, T. J., Fernandes, H., Stevner, A., Deco, G. & Kringelbach, M. L. (2017). Neural plasticity in human brain connectivity: the effects of deep brain stimulation. In The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain (pp. 527-546). elsevier. https://doi.org/10.1016/B978-0-12-803784-3.00025-1

Displaying results 651 to 677 out of 677

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Revised 26.03.2021

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Hella Kastbjerg