Our publications

Figueroa, C. A., Cabral, J., Mocking, R. J. T., Rapuano, K. M., van Hartevelt, T. J., Deco, G. ... Ruhé, H. G. (2019). Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Human Brain Mapping, 40(9), 2771-2786. https://doi.org/10.1002/hbm.24559

Haumann, N. T., Huotilainen, M., Vuust, P. & Brattico, E. (2019). Applying stochastic spike train theory for high-accuracy MEG/EEG.

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), [979]. https://doi.org/10.3389/fnins.2018.00979

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, [583]. https://doi.org/10.1038/s41467-018-08186-7

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E. ... Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), [1035]. https://doi.org/10.1038/s41467-019-08934-3

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 127.

Itzhacki, J., Te Lindert, B. H. W., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2019). Environmental light and time of day modulate subjective liking and wanting. Emotion (Washington, D.C.), 19(1), 10-20. https://doi.org/10.1037/emo0000402

Lunde, S. J., Vuust, P., Garza-Villarreal, E. A. & Vase, L. (2019). Music-induced analgesia: How does music relieve pain? Pain, 160(5), 989-993. https://doi.org/10.1097/j.pain.0000000000001452

Sedghi, N. A. & Brattico, E. (2019). Musik og evolution. In T. K. Nielsen, C. Andersen, A. R. Kratschmer & M. Clasen (Eds.), Mennesket, kultur, evolution: et biokulturelt perspektiv (pp. 201-214). Aarhus: Aarhus Universitetsforlag.

Heggli, O. A., Vuust, P. & Kringelbach, M. L. (2019). Please Please Me! The Pleasure of Music in the Brain. In The Routledge Companion to Music, Mind and Well-being (pp. 205-218). Abingdon, Oxon, UK: Routledge.

Koelsch, S., Vuust, P. & Friston, K. (2019). Predictive Processes and the Peculiar Case of Music. Trends in Cognitive Sciences, 23(1), 63-77. https://doi.org/10.1016/j.tics.2018.10.006

Fasano, M. C., Semeraro, C., Cassibba, R., Kringelbach, M. L., Monacis, L., de Palo, V. ... 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).

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

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

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 Paris: IRCAM.

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). 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, 1350-1358.

Reybrouck, M., Vuust, P. & Brattico, E. (2018). Brain Connectivity Networks and the Aesthetic Experience of Music. Brain sciences, 8(6), [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), [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. Progress in Brain Research, Vol.. 242 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), [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 Graz.

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). Graz, Austria.

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.

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 11265 LNCS 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. 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, 43-76.

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

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

Petersen, B. (Ed.) (2018). KUV-netværkets årbog 2018.

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.

Ahrends, C., Bravo, F., Vuust, P. & Rohrmeier, M. (Accepted/In press). Modulatory effects of tonality on decision making under uncertainty. Poster session presented at Computational Neuroscience of Prediction, Rungsted, Denmark.

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

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

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

Petersen, B., Friis Andersen, A. S., Dietz, M., Højlund, A., Brattico, E., Haumann, N. T. ... 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.

Rohrmeier, M. & Pearce, M. (2018). Musical syntax I: Theoretical perspectives. In R. Bader (Ed.), Springer Handbook of Systematic Musicology (pp. 473-486). Berlin: Springer.

Pearce, M. & Rohrmeier, M. (2018). Musical syntax II: Empirical perspectives. In R. Bader (Ed.), Springer Handbook of Systematic Musicology (pp. 487-505). Berlin: Springer.

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Revised 30.01.2019