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Center for Music in the Brain

Our publications

Tenderini, M. S., de Leeuw, E., Eilola, T. M. & Pearce, M. T. (2022). Reduced Cross-Modal Affective Priming in the L2 of Late Bilinguals Depends on L2 Exposure. Journal of Experimental Psychology: Learning Memory and Cognition, 48(2), 284-303. https://doi.org/10.1037/xlm0000889

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2019). Reduced prediction error responses in high-as compared to low-uncertainty musical contexts. Cortex, 120, 181-200. https://doi.org/10.1101/422949, https://doi.org/10.1016/j.cortex.2019.06.010

Thompson, W. F., Marin, M. M. & Stewart, L. (2012). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis. Proceedings of the National Academy of Sciences of the United States of America, 109(46), 19027-32. https://doi.org/10.1073/pnas.1210344109

Thompson, W. F., Marin, M. M. & Stewart, L. (2013). Reduced sensitivity to emotional prosody in congenital amusia rekindles the musical protolanguage hypothesis (vol 109, pg 19027, 2012). Proceedings of the National Academy of Sciences of the United States of America, 110(7), 2676-2676. https://doi.org/10.1073/pnas.1222350110

Alonso Martínez, S., Marsman, J. B. C., Kringelbach, M. L., Deco, G. & ter Horst, G. J. (2020). Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup. NeuroImage: Clinical, 27, [102299]. https://doi.org/10.1016/j.nicl.2020.102299

Jespersen, K. V., Stevner, A., Fernandes, H., Sørensen, S. D., Van Someren, E., Kringelbach, M. L. & Vuust, P. (2020). Reduced structural connectivity in Insomnia Disorder. Journal of Sleep Research, 29(1), [e12901]. https://doi.org/10.1111/jsr.12901

Bodak, R., Malhotra, P., Bernardi, N. F., Cocchini, G. & Stewart, L. (2014). Reducing chronic visuo-spatial neglect following right hemisphere stroke through instrument playing. Frontiers in Human Neuroscience, 8, 413. https://doi.org/10.3389/fnhum.2014.00413

Costa, M., Bonetti, L., Belelli, M., Lantieri, C., Vignali, V. & Simone, A. (2016). Reflective tape applied to bicycle frame and conspicuity enhancement at night. Human Factors, 485.

Prados, F., S Solanky, B., Alves da Mota, P., Cardoso, M. J., Brownlee, WJ., Riemer, F., Miller, DH., Golay, X., Ourselin, S. & Gandini Wheeler-Kingshott, CAM. (2016). Regional variation of total sodium concentration in the healthy human brain.. Poster session presented at International Society for Magnetic Resonance in Medicine: 24th Annual Meeting.

Ryyppö, E., Glerean, E., Brattico, E., Saramäki, J. & Korhonen, O. (2018). Regions of Interest as nodes of dynamic functional brain networks. Network neuroscience (Cambridge, Mass.), 2(4), 513-535. https://doi.org/10.1162/netn_a_00047

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Abstract from INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

Mogensen, R. L. H., Bjerg Hedegaard, M., Olsen, L., Skewes, J. C. & Gebauer, L. (2018). Relational Memory in High-Functioning Children with Autism Spectrum Disorders. Poster session presented at INSAR 2018: Annual Meeting, Rotterdam, Netherlands.

Donnelly-Kehoe, P., Saenger, V. M., Lisofsky, N., Kühn, S., Kringelbach, M. L., Schwarzbach, J., Lindenberger, U. & Deco, G. (2019). Reliable local dynamics in the brain across sessions are revealed by whole-brain modeling of resting state activity. Human Brain Mapping, 40(10), 2967-2980. https://doi.org/10.1002/hbm.24572

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Reorganization of brain structural networks in aging: A longitudinal study. Journal of Neuroscience Research, 99(5), 1354-1376. https://doi.org/10.1002/jnr.24795

Løkke, A., Kaasgaard, M., Andreasson, K. H., Rasmussen, D. B., Hilberg, O., Vuust, P. & Bodtger, U. (2022). Reply: The effectiveness of singing versus exercise training. The European respiratory journal, 59(6). https://doi.org/10.1183/13993003.03051-2021

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Reply to Martin-Saavedra and Saade-Lemus. Pain, 160(6), 1483-1484. https://doi.org/10.1097/j.pain.0000000000001534

Vuust, P., Heggli, O. A., Friston, K. J. & Kringelbach, M. L. (2022). Reply to ‘Towards a cross-cultural framework for predictive coding of music’. Nature Reviews Neuroscience, 23(10), 641-642. https://doi.org/10.1038/s41583-022-00621-5

Quiroga Martinez, D. R., Bonetti, L., Knight, R. T. & Vuust, P. (2022). Representational dynamics of listened and imagined musical sound sequences. In 2022 Conference on Cognitive Computational Neuroscience https://doi.org/10.32470/CCN.2022.1069-0

Timm, L., Vuust, P., Brattico, E., Agrawal, D., Debener, S., Buechner, A., Dengler, R. & Wittforth, M. (2014). Residual neural processng of musical sound features in adult cochlear implant users. Frontiers in Human Neuroscience, 8. https://doi.org/10.3389/fnhum.2014.00181

Deco, G., Tononi, G., Boly, M. & Kringelbach, M. L. (2015). Rethinking segregation and integration: contributions of whole-brain modelling. Nature Reviews. Neuroscience, 16(7), 430-9. https://doi.org/10.1038/nrn3963

Kobeleva, X., López-González, A., Kringelbach, M. L. & Deco, G. (2021). Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics. Frontiers in Neuroscience, 15, [715861]. https://doi.org/10.3389/fnins.2021.715861

Deco, G., Vidaurre Henche, D. & Kringelbach, M. L. (2021). Revisiting the global workspace orchestrating the hierarchical organization of the human brain. Nature Human Behaviour, 5(4), 497-511. https://doi.org/10.1038/s41562-020-01003-6

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

Bonetti, L., Haumann, N. T., Vuust, P., Kliuchko, M. & Brattico, E. (2017). Risk of depression enhances auditory Pitch discrimination in the brain as indexed by the mismatch negativity. Clinical Neurophysiology, 128(10), 1923-1936.

Hindriks, R., Woolrich, M., Luckhoo, H., Joensson, M., Mohseni, H., Kringelbach, M. L. & Deco, G. (2015). Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. NeuroImage, 106, 328-339. https://doi.org/10.1016/j.neuroimage.2014.10.057

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.

Daffertshofer, A., Ton, R., Pietras, B., Kringelbach, M. L. & Deco, G. (2018). Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? NeuroImage, 180, 428-441. https://doi.org/10.1016/j.neuroimage.2018.03.070

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.

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

Caclin, A., Brattico, E., Tervaniemi, M., Naatanen, R., Morlet, D., Giard, M-H. & McAdams, S. (2006). Separate neural processing of timbre dimensions in auditory sensory memory. Journal of Cognitive Neuroscience (Online), 18(12), 1959-1972.

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V., Vuust, P. & Brattico, E. (2019). Short-Term Orchestral Music Training Modulates Hyperactivity and Inhibitory Control in School-Age Children: A Longitudinal Behavioural Study. Frontiers in Psychology, 10(750).

Lumaca, M., Brattico, E. & Baggio, G. (2021). Signaling games and music as a credible signal. Behavioral and Brain Sciences, 44, e107. [e107]. https://doi.org/10.1017/S0140525X20001016

Lumaca, M. & Baggio, G. (2018). Signaling games and the evolution of structure in language and music: A reply to Ravignani & Verhoef (2018). Artificial Life, 154.

Hahn, G., Zamora-López, G., Uhrig, L., Tagliazucchi, E., Laufs, H., Mantini, D., Kringelbach, M. L., Jarraya, B. & Deco, G. (2021). Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals. NeuroImage, 226, [117470]. https://doi.org/10.1016/j.neuroimage.2020.117470

Coelho, A., Fernandes, H. M., Magalhães, R., Moreira, P. S., Marques, P., Soares, J. M., Amorim, L., Portugal-Nunes, C., Castanho, T., Santos, N. C. & Sousa, N. (2021). Signatures of white-matter microstructure degradation during aging and its association with cognitive status. Scientific Reports, 11(1), [4517]. https://doi.org/10.1038/s41598-021-83983-7

Livingstone-Lee, S. A., Murchison, S., Zeman, P. M., Gandhi, M., van Gerven, D., Stewart, L., Livingston, N. J. & Skelton, R. W. (2011). Simple gaze analysis and special design of a virtual Morris water maze provides a new method for differentiating egocentric and allocentric navigational strategy choice. Behavioural Brain Research, 225(1), 117-25. https://doi.org/10.1016/j.bbr.2011.07.005

Sears, D., Pearce, M., Caplin, W. & McAdams, S. (2018). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research, 47, 29-52. https://doi.org/10.1080/09298215.2017.1367010

Harrison, P. M. C. & Pearce, M. T. (2020). Simultaneous Consonance in Music Perception and Composition. Psychological Review, 127(2), 216-244. https://doi.org/10.1037/rev0000169

Mårup, S. H., Møller, C. & Vuust, P. (2019). Simultaneous performance of rhythm and beat: A bodily hierarchy. Poster session presented at Brain, Music and Cognition 2019, Jerusalem, Israel.

Brattico, E., Winkler, M., Naatanen, R., Paavilainen, P. & Tervaniemi, M. (2002). Simultaneous storage of two complex temporal sound patterns in auditory sensory memory. NeuroReport, 13(14), 1747-1751.

Kaasgaard, M. (2021). Sing-a-Lung: Can group singing as activity in pulmonary rehabilitation improve dypnoea, Quality of Life, and psychological wellbeing for patients with Chronic Obstructive Pulmonary Disease (COPD)?. Abstract from The Neurosciences and Music VII - Connecting with music across the lifespan.

Kaasgaard, M., Rasmussen, D. B., Ottesen, A. L., Vuust, P., Hilberg, O. & Bødtger, U. (2020). Sing-a-Lung: Group singing as training modality in pulmonary rehabilitation for patients with Chronic Obstructive Pulmonary Disease (COPD): A multicenter, cluster-randomised, non-inferiority, controlled trial. European Respiratory Journal, 56(Suppl 64), 4663. https://doi.org/10.1183/13993003.congress-2020.4663

Kaasgaard, M. (2022). Singing in Pulmonary Rehabilitation of Patients with Chronic Obstructive Pulmonary Disease (COPD). Aarhus Universitet. https://drive.google.com/file/d/1vuXJuFaHZLnDQMNYZEj4RXWLowqoj6En/view?usp=sharing

Petersen, B., Mortensen, M. V., Hansen, M. & Vuust, P. (2011). Singing in the key of life - musical ear training enhances musical abilities after cochlear implantation. Poster session presented at The Neurosciences and Music - IV, Edinburgh, United Kingdom.

Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J. & Kringelbach, M. L. (2017). Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. NeuroImage, (152), 538-550. https://doi.org/10.1016/j.neuroimage.2017.03.023

P, K., M, G., Bodak, R. & Stewart, L. (2015). Sounds Within Reach: Enriched Environments for Physical Rehabilitation of the Upper Limb. Poster session presented at Examining the Utility of Music Interventions in Neurological Disorders of Older People, United Kingdom.

Lapenta, O. M., Keller, P. E., Nozaradan, S. & Varlet, M. (2023). Spatial and temporal (non)binding of audiovisual rhythms in sensorimotor synchronisation. Experimental Brain Research, 241(3), 875-887. https://doi.org/10.1007/s00221-023-06569-x

Verga, L., Sroka, M. G. U., Varola, M., Villanueva, S. & Ravignani, A. (2022). Spontaneous rhythm discrimination in a mammalian vocal learner. Biology Letters, 18(10), 20220316. https://doi.org/10.1098/rsbl.2022.0316

Pearce, M. (2018). Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences, 1423, 378-395. https://doi.org/10.1111/nyas.13654

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

Displaying results 501 to 550 out of 677

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