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Center for Music in the Brain

Our publications

Stewart, L., Overath, T., Warren, J. D., Foxton, J. M. & Griffiths, T. D. (2008). fMRI evidence for a cortical hierarchy of pitch pattern processing. PLOS ONE, 3(1), e1470. https://doi.org/10.1371/journal.pone.0001470

Stewart, L. (2002). Zoning in on music and the brain. Trends in Cognitive Sciences, 6(11), 451.

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. & Vuust, P. (2019). You get what you need: individual differences in visually-induced amplification of the auditory mismatch negativity. Poster session presented at Neuroscience Day 2019, Aarhus, Denmark.

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P. & Näätänen, R. (2017). Working memory regulates frontal Mismatch Negativity to sound intensity and slide deviants. Abstract from Neuroscience Day - Let's rethink memory 2017, Aarhus, Denmark.

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P. & Näätänen, R. (2017). Working memory performance predicts the neural discrimination of sound deviants as indexed by frontal mismatch negativity: an MEG study. In Working memory performance predicts the neural discrimination of sound deviants as indexed by frontal mismatch negativity: an MEG study

Ahonen, L., Huotilainen, M. & Brattico, E. (2016). Within- and between-session replicability of cognitive brain processes: An MEG study with an N-back task. Physiology & Behavior, 158, 43-53. https://doi.org/10.1016/j.physbeh.2016.02.006

Ravignani, A., Thompson, B., Lumaca, M. & Grube, M. (2018). Why do durations in musical rhythms conform to small integer ratios? Frontiers in Computational Neuroscience, 12.

Toiviainen, P., Alluri, V., Burunat, I. & Brattico, E. (2015). Whole-brain functional connectivity during naturalistic music listening: Effect of musical training. Abstract from Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music, Manchester, United Kingdom.

Deco, G., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., Logothetis, N. K. & Kringelbach, M. L. (2018). Whole-Brain Multimodal Neuroimaging Model Using Serotonin Receptor Maps Explains Non-linear Functional Effects of LSD. Current Biology, 28(19), 3065-+. https://doi.org/10.1016/j.cub.2018.07.083

Duffy, S. & Pearce, M. (2018). What makes rhythms hard to perform? An investigation using Steve Reich’s Clapping Music. PLOS ONE, 13(10), e0205847. https://doi.org/10.1371/journal.pone.0205847

Stewart, L. & Williamon, A. (2008). What are the implications of neuroscience for musical education? Educational Research, 50(2), 177-186. https://doi.org/10.1080/00131880802082666

Lumaca, M., Trusbak Haumann, N., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Lumaca, M., Haumann, N. T., Brattico, E., Grube, M. & Vuust, P. (2019). Weighting of neural prediction error by rhythmic complexity: A predictive coding account using Mismatch Negativity. European Journal of Neuroscience, 49(12), 1597-1609. https://doi.org/10.1111/ejn.14329

Kleber, B., Veit, R., Moll, C. V., Gaser, C., Birbaumer, N. & Lotze, M. (2016). Voxel-based morphometry in opera singers: Increased gray-matter volume in right somatosensory and auditory cortices. NeuroImage, 133, 477-83. https://doi.org/10.1016/j.neuroimage.2016.03.045

Møller, C., Højlund, A., Bærentsen, K. B., Hansen, N. C., Skewes, J. C. & Vuust, P. (2018). Visually induced gains in pitch discrimination: Linking audio-visual processing with auditory abilities. Attention, Perception & Psychophysics, 80(4), 999-1010. https://doi.org/10.3758/s13414-017-1481-8

McDonald, C. & Stewart, L. (2008). Uses and functions of music in congenital amusia. Music Perception, 25(4), 345-355. https://doi.org/10.1525/MP.2008.25.4.345

PanCareLIFE Consortium (2020). Usefulness of current candidate genetic markers to identify childhood cancer patients at risk for platinum-induced ototoxicity: Results of the European PanCareLIFE cohort study. European Journal of Cancer, 138, 212-224. https://doi.org/10.1016/j.ejca.2020.07.019

Parsons, C., Stark, E. A., Young, K. S., Stein, A. & Kringelbach, M. L. (2013). Understanding the human parental brain. A critical role of the orbitofrontal cortex. Social Neuroscience, 8(6), 525-43. https://doi.org/10.1080/17470919.2013.842610

Lord, L-D., Stevner, A. B., Deco, G. & Kringelbach, M. L. (2017). Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2096), [20160283]. https://doi.org/10.1098/rsta.2016.0283

Saenger, V. M., Kahan, J., Foltynie, T., Friston, K., Aziz, T. Z., Green, A. L., van Hartevelt, T. J., Cabral, J., Stevner, A. B. A., Fernandes, H. M., Mancini, L., Thornton, J., Yousry, T., Limousin, P., Zrinzo, L., Hariz, M., Marques, P., Sousa, N., Kringelbach, M. L. & Deco, G. (2017). Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson's disease. Scientific Reports, 7(1), 9882. https://doi.org/10.1038/s41598-017-10003-y

Vila-Vidal, M., Capouskova, K., Atasoy, S., Kringelbach, M. L. & Deco, G. (2020). Uncovering the spatiotemporal scales of common neuro-mental constructs: Comment on “Is temporo-spatial dynamics the ‘common currency’ of brain and mind? In Quest of ‘Spatiotemporal Neuroscience’ ” by Georg Northoff et al. Physics of Life Reviews, 33, 64-66. https://doi.org/10.1016/j.plrev.2019.10.004

Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J. D. & Koelsch, S. (2019). Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity. Current Biology, 29(23), 4084-4092.e4. https://doi.org/10.1016/j.cub.2019.09.067

Thaler, H., Skewes, J. C., Gebauer, L., Christensen, P., Prkachin, K. M. & Jegindø Elmholdt, E-M. (2017). Typical pain experience but underestimation of others’ pain: Emotion perception in self and others in autism spectrum disorder. Autism, 22(6), 751-762. https://doi.org/10.1177/1362361317701269

Farrugia, N., Jakubowski, K., Cusack, R. & Stewart, L. (2015). Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure. Consciousness and Cognition, 35, 66-77. https://doi.org/10.1016/j.concog.2015.04.020

Høgholt, N. F. & Kringelbach, M. L. (2019). Treating pregnancy-related insomnia with music and light: A neuroimaging study. In Frontiers Abstract Book (pp. 62-64). Frontiers Media SA.

Stewart, L., Walsh, V., Frith, U. & Rothwell, J. (2001). Transcranial magnetic stimulation produces speech arrest but not song arrest. Annals of the New York Academy of Sciences, 930, 433-5.

Omigie, D., Pearce, M. T. & Stewart, L. (2012). Tracking of pitch probabilities in congenital amusia. Neuropsychologia, 50(7), 1483-93. https://doi.org/10.1016/j.neuropsychologia.2012.02.034

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Tracing rhythmic regularity processing in EEG and MEG.. Poster session presented at Engineering in Medicine & Biology Conference (EMBC) .

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. K. (2017). Towards tunable consensus clustering for studying functional brain connectivity during affective processing. International Journal of Neural Systems, 27(2), 1650042 . https://doi.org/10.1142/S0129065716500428

Brattico, E., Bogert, B. & Jacobsen, T. (2013). Toward a neural chronometry for the aesthetic experience of music. Frontiers in Psychology, 4, [206]. https://doi.org/10.3389/fpsyg.2013.00206

Kringelbach, M. L. & Rapuano, K. M. (2016). Time in the orbitofrontal cortex. Brain, 139(Pt 4), 1010-3. https://doi.org/10.1093/brain/aww049

Menouti, K., Akiva-Kabiri, L., Banissy, M. J. & Stewart, L. (2015). Timbre-colour synaesthesia: exploring the consistency of associations based on timbre. Cortex, 63, 1-3. https://doi.org/10.1016/j.cortex.2014.08.009

Brattico, E. & Vuust, P. (2017). The urge to judge: Why the judgmental attitude has anything to do with the aesthetic enjoyment of negative emotions. Behavioral and Brain Sciences, 40, [353]. https://doi.org/10.1017/S0140525X17001613

Ross, S., Chow, K., Jakubowski, K., Pearce, M. & Müllensiefen, D. (2016). The structure of absolute pitch abilities and its relationship to musical sophistication. Abstract from 14th International Conference of Music Perception and Cognition, San Francisco, United States.

Jakubowski, K., Farrugia, N., Halpern, A. R., Sankarpandi, S. K. & Stewart, L. (2015). The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday life. Memory & Cognition. https://doi.org/10.3758/s13421-015-0531-5

Matthews, T. E., Witek, M. A. G., Heggli, O. A., Penhune, V. B. & Vuust, P. (2019). The sensation of groove is affected by the interaction of rhythmic and harmonic complexity. PLOS ONE, 14(1), [e0204539]. https://doi.org/10.1371/journal.pone.0204539

Matthews, T. E., Witek, M. A. G., Lund, T., Vuust, P. & Penhune, V. B. (2020). The sensation of groove engages motor and reward networks. NeuroImage, 214, [116768]. https://doi.org/10.1016/j.neuroimage.2020.116768

Costa, M., Bonetti, L., VIgnali, V., Lantieri, C. & Simone, A. (2018). The role of peripheral vision in vertical road sign identification and discrimination. Ergonomics, 61(12), 1619-1634. https://doi.org/10.1080/00140139.2018.1508756

Kliuchko, M. (2019). The role of musical enculturation on building melodic expectations in the brain. Poster session presented at Brain, Music and Cognition 2019, Jerusalem, Israel.

Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M. & Brattico, E. (2016). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage, 124(Pt A), 224-31. https://doi.org/10.1016/j.neuroimage.2015.09.005

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

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

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Hella Kastbjerg

Revised 27.09.2020