Find

Center for Music in the Brain

Our publications

Sort by: Date | Author | Title

Contribution to journal

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

Basiński, K., Quiroga-Martinez, D. R. & Vuust, P. (2023). Temporal hierarchies in the predictive processing of melody: From pure tones to songs. Neuroscience and Biobehavioral Reviews, 145, Article 105007. https://doi.org/10.1016/j.neubiorev.2022.105007

Abalde, S. F., Rigby, A., Keller, P. E. & Novembre, G. (2024). A framework for joint music making: Behavioral findings, neural processes, and computational models. Neuroscience and Biobehavioral Reviews, 167, Article 105816. https://doi.org/10.1016/j.neubiorev.2024.105816

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

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

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

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

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.

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

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.

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.

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

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.

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

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

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

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

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

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

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

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, https://doi.org/10.1002/ejp.2057

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, 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, https://doi.org/10.1007/s10548-023-01031-1

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., 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., Vuust, P., Flor, H. & Graven-Nielsen, T. (2024). Un entraînement sensori-moteur intensif améliore les réponses corticales nociceptives chez les personnes en bonne santé. Douleur et Analgesie, 37(4), 228-248. https://doi.org/10.1684/dea.2024.0305

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., 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. 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

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., 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., 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. (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., 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., 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

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

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., 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., 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

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., 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., 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., 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

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

Displaying results 301 to 350 out of 875

7

Revised 20.09.2024

-

Hella Kastbjerg