Find

Center for Music in the Brain

Our publications

Sort by: Date | Author | Title

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) .

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.

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

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

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. 1597-1609. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

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.

Harrison, P. & Pearce, M. (2018). An energy-based generative sequence model for testing sensory theories of Western harmony. In Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018 (pp. 160-167). http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018b.pdf

Haumann, N. T., Kliuchko, M., Vuust, P. & Brattico, E. (2018). Applying Acoustical and Musicological Analysis to Detect Brain Responses to Realistic Music: A Case Study. Applied Sciences, 8(5), Article 716. https://doi.org/10.3390/app8050716

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P., Särkämö, T. & Näätänen, R. (2018). Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores. Brain Research, 1700, 86-98. https://doi.org/10.1016/j.brainres.2018.06.034

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358.

Brattico, E., Olcese, C. & Tervaniemi, M. (2018). Automatic Processing of Musical Sounds in the Human Brain. In Springer Handbooks (pp. 441-452). Springer. https://doi.org/10.1007/978-3-662-55004-5_22

Fjaeldstad, A., Fernandes, H., Nyengaard, J. R. & Ovesen, T. (2018). Bag om smag. Ugeskrift for Læger, 180(18).

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain sciences, 8(6), Article 107. https://doi.org/10.3390/brainsci8060107

Te Lindert, B. H. W., Itzhacki, J., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2018). Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study. Sleep, 41(4), Article 022. https://doi.org/10.1093/sleep/zsy022

Grube, M., Brandl, S., Kindermans, P.-J., Blankertz, B., Daehne, S. & Mueller, K.-R. (2018). Can we “find the beat”? Searching the beta band in the human EEG as a function of acoustic rhythmic regularity and in correlation with behaviour.. 1. Poster session presented at 11th FENS Forum of Neuroscience, Berlin, Germany.

Atasoy, S., Vohryzek, J., Deco, G., Carhart-Harris, R. L. & Kringelbach, M. L. (2018). Common neural signatures of psychedelics: Frequency-specific energy changes and repertoire expansion revealed using connectome-harmonic decomposition. In T. Calvey (Ed.), PSYCHEDELIC NEUROSCIENCE (pp. 97-120). Elsevier. https://doi.org/10.1016/bs.pbr.2018.08.009

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. W. (2018). Danish Validation of Sniffin' Sticks Olfactory Test for Threshold, Discrimination, and Identification. The Laryngoscope, 128(8), 1759-1766. https://doi.org/10.1002/lary.27052

Saari, P., Burunat, I., Brattico, E. & Toiviainen, P. (2018). Decoding Musical Training from Dynamic Processing of Musical Features in the Brain. Scientific Reports, 8(1), Article 708. https://doi.org/10.1038/s41598-018-19177-5

Harrison, P. & Pearce, M. (2018). Dissociating sensory and cognitive theories of harmony perception through computational modeling. In Proceedings of the 15th International Conference on Music Perception & Cognition http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018a.pdf

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Stupacher, J. A. & Wood, G. (2018). Effects of cultural background and musical preference on affective social entrainment with music. In Proceedings of ICMPC15/ESCOM10 (pp. 438-441).

Sauvé, S., Sayed, A., Dean, R. & Pearce, M. (2018). Effects of pitch and timing expectancy on musical emotion. Psychomusicology: Music, Mind & Brain, 28, 17-39. https://doi.org/10.1037/pmu0000203

Ajaj, T., Blankertz, B., Group, N. & Group, N. (2018). Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

Kliuchko, M., Haumann, N. T., Huotilainen, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2018). Expertise-dependent sensitivity to mistuning and melody transposition: MEG study with melodic multi-feature MMN paradigm. Abstract from 15th International Conference on Music Perception and Cognition & 10th triennial conference of the European Society for the Cognitive Sciences of Music, Graz, Austria.

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M., Vuust, P. & Brattico, E. (2018). Exploring the effects of an innovative collective music training on inhibitory control and hyperactivity in early adolescents. Poster session presented at 15th International Conference on Music Perception and Cognition & 10th triennial conference of the European Society for the Cognitive Sciences of Music, Graz, Austria.

Lumaca, M., Haumann, N. T., Vuust, P., Brattico, E. & Baggio, G. (2018). From random to regular: Neural constraints on the emergence of isochronous rhythm during cultural transmission. Social Cognitive and Affective Neuroscience, 13(8), 877-888. https://doi.org/10.1093/scan/nsy054

Costa, M. & Bonetti, L. (2018). Geometrical distortions in large-scale cognitive geographical maps. Journal of Environmental Psychology, 55, 53-69. https://doi.org/10.1016/j.jenvp.2017.12.004

Vuust, P. (2018). Groove on the Brain. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 101-110). Springer. https://doi.org/10.1007/978-3-030-01692-0_7

Atasoy, S., Deco, G., Kringelbach, M. L. & Pearson, J. (2018). Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics. Neuroscientist, 24(3), 277–293. https://doi.org/10.1177/1073858417728032

Crisp, R. & Kringelbach, M. (2018). Higher and Lower Pleasures Revisited: Evidence from Neuroscience. Neuroethics, 11(2), 211-215. https://doi.org/10.1007/s12152-017-9339-2

Haumann, N. T., Vuust, P., Bertelsen, F. C. B. & Garza-Villarreal, E. A. (2018). Influence of Musical Enculturation on Brain Responses to Metric Deviants. Frontiers in Neuroscience, 12(APR), Article 218. https://doi.org/10.3389/fnins.2018.00218

Agres, K., Abdallah, S. & Pearce, M. (2018). Information-theoretic properties of auditory sequences dynamically influence expectation and memory. Cognitive Science, 42(1), 43-76. https://doi.org/10.1111/cogs.12477

Tiihonen, T. M., Saarikallio, S., Haumann, N. T., Shtyrov, Y. & Brattico, E. (2018). Interaction of Visually and Auditorily Derived Affect: An MEG Study. Poster session presented at European Society for Cognitive and Affective Neuroscience, meeting in Leiden, 2018, Leiden, Netherlands.

Jakubowski, K., Bashir, Z., Farrugia, N. & Stewart, L. (2018). Involuntary and voluntary recall of musical memories: A comparison of temporal accuracy and emotional responses. Memory and Cognition, 46(5), 741-756. https://doi.org/10.3758/s13421-018-0792-x

Langer Bro, M., Jespersen, K. V., Hansen, J. B., Vuust, P., Abildgaard, N., Gram, J. & Johansen, C. (2018). Kind of blue - a systematic review and meta-analysis of music intervention in cancer treatment. Psycho-Oncology, 27(2), 386–400.

Petersen, B. (Ed.) (2018). KUV-netværkets årbog 2018. https://www.musikkons.dk/fileadmin/Lyd/FOKU/KUV-%C3%A5rbog_2018/KUV-netv%C3%A6rkets_a%CC%8Arbog_2018.pdf

Petersen, B. (2018). KUV på Det Jyske Musikkonservatorium. In KUV-netværkets årbog 2018 (pp. 50)

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T., Michel, F., Kamaric Riis, S. & Vuust, P. (2018). Musical Listening in Electric Hearing –Two Novel EEG Paradigms for Studying Music Discrimination in Cochlear Implant Users. Poster session presented at 2nd International Music and CI symposium, Montreal, Canada.

Pearce, M. & Rohrmeier, M. (2018). Musical syntax II: Empirical perspectives. In R. Bader (Ed.), Springer Handbooks (pp. 487-505). Springer. https://doi.org/10.1007/978-3-662-55004-5_26

Rohrmeier, M. & Pearce, M. (2018). Musical syntax I: Theoretical perspectives. In R. Bader (Ed.), Springer Handbooks (pp. 473-486). Springer. https://doi.org/10.1007/978-3-662-55004-5_25

Cantou, P., Fasano, M. C., Alexander Kleber, B., Vuust, P. & Brattico, E. (2018). Musical tension processing in preadolescents: a free-listening fMRI study. 1.

Burunat, I., Brattico, E., Hartmann, M., Vuust, P., Särkämö, T. & Toiviainen, P. (2018). Musical training predicts cerebello-hippocampal coupling during music listening. Psychomusicology: Music, Mind & Brain, 28(3), 152-163.

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Music and the plastic brain: How sounds trigger neurogenerative adaptations. In Neuroplasticity - Insights of Neural Reorganization InTechOpen.

Stark, E. A., Vuust, P. & Kringelbach, M. L. (2018). Music, dance, and other art forms: New insights into the links between hedonia (pleasure) and eudaimonia (well-being). Progress in Brain Research, 237, 129-152. https://doi.org/10.1016/bs.pbr.2018.03.019

Lumaca, M., Ravignani, A. & Baggio, G. (2018). Music evolution in the laboratory: Cultural transmission meets neurophysiology. Frontiers in Neuroscience, 12(APR), 246. Article 246.

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

Kliuchko, M., Puoliväli, T., Heinonen-Guzejev, M., Tervaniemi, M., Toiviainen, P., Sams, M. & Brattico, E. (2018). Neuroanatomical correlates of noise sensitivity. Poster session presented at 8th Mind Brain Body Symposium, Berlin, Germany.

Kliuchko, M., Puoliväli, T., Heinonen-Guzejev, M., Tervaniem, M., Toiviainen, P., Sams, M. & Brattico, E. (2018). Neuroanatomical substrate of noise sensitivity. NeuroImage, 167, 309-315. https://doi.org/10.1016/j.neuroimage.2017.11.041

Vuust, P., Dietz, M., Witek, M. & Kringelbach, M. L. (2018). Now you hear it: a predictive coding model for understanding rhythmic incongruity. Annals of the New York Academy of Sciences, 1423(1), 19-29. https://doi.org/10.1111/nyas.13622

Deco, G., Cabral, J., Saenger, V. M., Boly, M., Tagliazucchi, E., Laufs, H., Van Someren, E., Jobst, B., Stevner, A. & Kringelbach, M. L. (2018). Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states. NeuroImage, 169, 46-56. https://doi.org/10.1016/j.neuroimage.2017.12.009

Displaying results 501 to 550 out of 893

11

Revised 20.09.2024

-

Hella Kastbjerg