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Center for Music in the Brain

Our publications

Stewart, L., Walsh, V., Frith, U. & Rothwell, J. C. (2001). TMS produces two dissociable types of speech disruption. NeuroImage, 13(3), 472-8. https://doi.org/10.1006/nimg.2000.0701

Cruzat, J., Herzog, R., Prado, P., Sanz-Perl, Y., Gonzalez-Gomez, R., Moguilner, S., Kringelbach, M. L., Deco, G., Tagliazucchi, E. & Ibañez, A. (2023). Temporal Irreversibility of Large-Scale Brain Dynamics in Alzheimer's Disease. The Journal of Neuroscience, 43(9), 1643-1656. https://doi.org/10.1523/JNEUROSCI.1312-22.2022

Petersen, B., Andersen, A. S., Trusbak Haumann, N., Højlund, A., Dietz, M., Michel, F., Kamaric Riis, S., Brattico, E. & Vuust, P. (2020). The CI MuMuFe: A New MMN Paradigm for Measuring Music Discrimination in Electric Hearing. Frontiers in Neuroscience, 14, [2]. https://doi.org/10.3389/fnins.2020.00002

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

Deco, G., Sanz Perl, Y., Bocaccio, H., Tagliazucchi, E. & Kringelbach, M. L. (2022). The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states. Communications Biology, 5(1), [572]. https://doi.org/10.1038/s42003-022-03505-7

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fasano, M. C., Cabral, J., Stevner, A., Vuust, P., Cantou, P., Brattico, E. & Kringelbach, M. L. (2023). The early adolescent brain on music: Analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system. Human Brain Mapping, 44(2), 429-446. https://doi.org/10.1002/hbm.26060

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

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

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

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

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

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

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.

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

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

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

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

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

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

Fjaeldstad, A. W., Konieczny, D. T., Fernandes, H., Gaini, L. M., Vejlø, M. & Sandberg, K. (2022). The relationship between individual significance of olfaction and measured olfactory function. Current Research in Behavioral Sciences, 3, [100076]. https://doi.org/10.1016/j.crbeha.2022.100076

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

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

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

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

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

Stupacher, J., Matthews, T. E., Pando-Naude, V., Foster Vander Elst, O. & Vuust, P. (2022). The sweet spot between predictability and surprise: Musical groove in brain, body, and social interactions. Frontiers in Psychology, 13, [906190]. https://doi.org/10.3389/fpsyg.2022.906190

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

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

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

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

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.

Heggli, O. A., Konvalinka, I., Cabral, J., Brattico, E., Kringelbach, M. & Vuust, P. (2021). Transient brain networks underlying interpersonal strategies during synchronized action. Social Cognitive and Affective Neuroscience, 16(1-2), 19-30. https://doi.org/10.1093/scan/nsaa056

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

Deco, G. & Kringelbach, M. L. (2020). Turbulent-like Dynamics in the Human Brain. Cell Reports, 33(10), [108471]. https://doi.org/10.1016/j.celrep.2020.108471

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

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

Displaying results 601 to 650 out of 677

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Hella Kastbjerg