Find

Center for Music in the Brain

Our publications

Smith, F., Griffiths, TD., Kumar, S. & Grube, M. (2019). The relationship between auditory sequence processing and language skill in children: do working memory or attention act as mediators?.

Kringelbach, M. L. (2015). The pleasure of food: underlying brain mechanisms of eating and other pleasures. Flavour, 4(20).

Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 15-39.

Brattico, E., Brattico, P. & Jacobsen, T. (2009). The origins of the aesthetic enjoyment of music - A review of the literature. Musicae Scientiae, 13(2 SUPPL.), 15-39. https://doi.org/10.1177/1029864909013002031

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.

Brattico, E. & Pearce, M. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity, and the Arts, 7(1), 48-61. https://doi.org/10.1037/a0031624

Brattico, E. (2019). The neuroaesthetics of music: A research agenda coming of age. In M. Thaut & D. Hodges (Eds.), The Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.15

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

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

Müllensiefen, D., Gingras, B., Musil, J. & Stewart, L. (2014). The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLOS ONE, 9(2), e89642. https://doi.org/10.1371/journal.pone.0089642

Deco, G., Van Hartevelt, T. J., Fernandes, H. M., Stevner, A. & Kringelbach, M. L. (2016). The most relevant human brain regions for functional connectivity: Evidence for a dynamical workspace of binding nodes from whole-brain computational modelling. NeuroImage, 146, 197-210. https://doi.org/10.1016/j.neuroimage.2016.10.047

Sørensen, S. D., Petersen, B., Ross, S., Wallentin, M., Heggli, O. A., Haumann, N. T., Brattico, E. & Vuust, P. (2017). The miniMET - A novel tool for measuring musical abilities in children. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Liu, F., Jiang, C., Thompson, W. F., Xu, Y., Yang, Y. & Stewart, L. (2012). The mechanism of speech processing in congenital amusia: evidence from Mandarin speakers. PLOS ONE, 7(2), e30374. https://doi.org/10.1371/journal.pone.0030374

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.

Parsons, C. E., Young, K. S., Murray, L., Stein, A. & Kringelbach, M. L. (2010). The functional neuroanatomy of the evolving parent-infant relationship. Progress in Neurobiology, 91(3), 220-41. https://doi.org/10.1016/j.pneurobio.2010.03.001

Stupacher, J. (2019). The experience of flow during sensorimotor synchronization to musical rhythms. Musicae Scientiae, 23(3), 348–361. https://doi.org/10.1177/1029864919836720

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

Fasano, M. C., Semeraro, C., Cassibba, R., Vuust, P., Kringelbach, M. L. & Brattico, E. (2021). The effects of a learner-centred music training program on intrinsic and extrinsic motivation. Poster session presented at The Neurosciences and Music VII - Connecting with music across the lifespan.

Jespersen, K. V., Otto, M., Kringelbach, M. L., Van Someren, E. & Vuust, P. (2017). The effect of music on insomnia - a randomized controlled trial. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

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

Jakubowski, K., Halpern, A. R., Grierson, M. & Stewart, L. (2015). The effect of exercise-induced arousal on chosen tempi for familiar melodies. Psychonomic Bulletin & Review, 22(2), 559-65. https://doi.org/10.3758/s13423-014-0687-1

Shoemark, H., Dahlstrøm, M., Bedford, O. & Stewart, L. (2021). The effect of a voice-centered psycho-educational program on maternal self-efficacy: A feasibility study. International Journal of Environmental Research and Public Health, 18(5), [2537]. https://doi.org/10.3390/ijerph18052537

Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2020). The early adolescent brain on music: analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. bioRxiv. https://doi.org/10.1101/2020.06.18.148072

Deco, G., Kringelbach, M. L., Jirsa, V. K. & Ritter, P. (2017). The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. Scientific Reports, 7(1), 3095. https://doi.org/10.1038/s41598-017-03073-5

Cruzat, J., Deco, G., Tauste-Campo, A., Principe, A., Costa, A., Kringelbach, M. L. & Rocamora, R. (2018). The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG. NeuroImage, 172, 492-505. https://doi.org/10.1016/j.neuroimage.2018.01.064

Nieminen, S., Istok, E., Brattico, E. & Tervaniemi, M. (2012). The development of the aesthetic experience of music: Preference, emotions, and beauty. Musicae Scientiae, 16(3), 372-391. https://doi.org/10.1177/1029864912450454

Nieminen, S., Istok, E., Brattico, E., Tervaniemi, M. & Huotilainen, M. (2011). The development of aesthetic responses to music and their underlying neural and psychological mechanisms. Cortex, 47(9), 1138-1146. https://doi.org/10.1016/j.cortex.2011.05.008

Brattico, E. (2006). The cognitive neuroscience of music. Musicae Scientiae, 10(1), 130-137.

Toiviainen, P., Burunat, I., Brattico, E., Vuust, P. & Alluri, V. (2020). The chronnectome of musical beat. NeuroImage, 216, [116191]. https://doi.org/10.1016/j.neuroimage.2019.116191

Magee, W. L. & Stewart, L. (2015). The challenges and benefits of a genuine partnership between Music Therapy and Neuroscience: a dialog between scientist and therapist. Frontiers in Human Neuroscience, 9, 223. https://doi.org/10.3389/fnhum.2015.00223

Fasano, M. C., Glerean, E., Gold, B., Sheng, D., Sams, M., Rauschecker, J., Vuust, P. & Brattico, E. (2017). The brain correlates of engagement in music performance: A behavioral and fMRI study. Poster session presented at The Neurosciences and Music VI - Music, Sound and Health , Boston, Massachusetts, United States.

Stupacher, J., Møller, C., Celma-Miralles, A. & Vuust, P. (2021). The bass lays down the beat in polyrhythms. Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Kliuchko, M., Heinonen-Guzejev, M., Monacis, L., Gold, B., Heikkilä, K., Spinosa, V., Tervaniemi, M. & Brattico, E. (2015). The association of noise sensitivity with music listening, training, and aptitude. Noise and Health, 17(78), 350-357. https://doi.org/10.4103/1463-1741.165065

Peretz, I., Brattico, E., Jarvenpaa, M. & Tervaniemi, M. (2009). The amusic brain: in tune, out of key, and unaware. Brain, 132, 1277-1286. https://doi.org/10.1093/brain/awp055

Petersen, B. & Friis Andersen, A. S. (2018). The Times They Are A Changin’: Two Novel EEG Paradigms for Studying Music Discrimination in Electric Hearing. In Annual report 2017 (pp. 42-47) http://musicinthebrain.au.dk/fileadmin/user_upload/Annual_Report_2017_2.pdf

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music: Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from 2019 Conference on Implantable Auditory Prostheses (CIAP), Lake Tahoe, California, United States.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Brattico, E., Michel, F., Kamaric Riis, S. & Vuust, P. (2019). The Sound of Music – Two Novel EEG-Paradigms for Measuring Discrimination of Music in Cochlear Implant Users. Abstract from CI2019 Pediatric: 16th Symposium on Cochlear Implants in Children, Hollywood, FL, United States.

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

Kringelbach, M. L., McIntosh, A. R., Ritter, P., Jirsa, V. K. & Deco, G. (2015). The Rediscovery of Slowness: Exploring the Timing of Cognition. Trends in Cognitive Sciences, 19(10), 616-28. https://doi.org/10.1016/j.tics.2015.07.011

Matrone, C. & Brattico, E. (2015). The Power of music on Alzheimer ’s Disease and the need to understand the underlying molecular mechanisms. Journal of Alzheimer's disease and parkinsonism, 5(3). https://doi.org/10.4172/2161-0460.1000196

Stark, E. A., Cabral, J., Riem, M. M. E., Van IJzendoorn, M. H., Stein, A. & Kringelbach, M. L. (2020). The Power of Smiling: The Adult Brain Networks Underlying Learned Infant Emotionality. Cerebral cortex (New York, N.Y. : 1991), 30(4), 2019-2029. https://doi.org/10.1093/cercor/bhz219

Dahlstrøm, M., Stewart, L. & Shoemark, H. (2020). The Potential of The Human Voice for Early Parent–infant Interactions in at-risk Populations. In R. Heydon, D. Fancourt & A. J. Cohen (Eds.), The Routledge Companion to Interdisciplinary Studies in Singing (Vol. III: Wellbeing, pp. 42-49). Routledge. https://doi.org/10.4324/9781315162546-3

Parsons, C., Kringelbach, M. L., Young, K., Craske, M. & Stein, A. (2014). The Oxford Vocal (OxVoc) Sounds Database: A validated set of non-acted emotional sounds from human infants, adults & domestic animals. Poster session presented at Society for Neuroscience 2014, Washington DC, United States.

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

De Filippi, E., Uribe, C., Avila-Varela, D. S., Martínez-Molina, N., Gashaj, V., Pritschet, L., Santander, T., Jacobs, E. G., Kringelbach, M. L., Sanz Perl, Y., Deco, G. & Escrichs, A. (2021). The Menstrual Cycle Modulates Whole-Brain Turbulent Dynamics. Frontiers in Neuroscience, 15, [753820]. https://doi.org/10.3389/fnins.2021.753820

Näätänen, R., Petersen, B., Torppa, R., Lonka, E. & Vuust, P. (2017). The MMN as a viable and objective marker of auditory development in CI users. Hearing Research, (353), 57-75. https://doi.org/10.1016/j.heares.2017.07.007

Fjaeldstad, A. W., Nørgaard, H. J. & Fernandes, H. M. (2019). The Impact of Acoustic fMRI-Noise on Olfactory Sensitivity and Perception. Neuroscience, 406, 262-267. https://doi.org/10.1016/j.neuroscience.2019.03.028

Alonso Martínez, S., Deco, G., Ter Horst, G. J. & Cabral, J. (2020). The Dynamics of Functional Brain Networks Associated With Depressive Symptoms in a Nonclinical Sample. Frontiers in Neural Circuits, 14, [570583]. https://doi.org/10.3389/fncir.2020.570583

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing. Poster session presented at MMN 2018: The 8th Mismatch Negativity Conference, Helsinki, Finland.

Petersen, B., Friis Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2021). The CI MuMuFe - a new MMN paradigm for measuring music discrimination in electric hearing: The CI MuMuFe. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

Displaying results 51 to 100 out of 607

2

Revised 26.03.2021 -

Hella Kastbjerg