Find

Center for Music in the Brain

Our publications

Bodak, R., Mazhari-Jensen, D., Evald, L., Figlewski, K., Malhotra, P., Vuust, P. & Stewart, L. (2015). Can active music-making ameliorate neglect? An assessor-blind, within-subject, controlled clinical trial. Poster session presented at Examining the utility of music interventions in neurological disorders of older people, London, Denmark.

Bodak, R., Stewart, L., Stephan, M., Witek, M., Penhune, V. & Vuust, P. (2015). Can listening to sound sequences facilitate movement? The potential for motor rehabilitation. Abstract from Music Therapy Advances in Neuro-disability II , London, United Kingdom.

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.

Galadí, J. A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NeuroImage, 244, [118551]. https://doi.org/10.1016/j.neuroimage.2021.118551

Stewart, L. (2011). Characterizing congenital amusia. Quarterly Journal of Experimental Psychology, 64(4), 625-38. https://doi.org/10.1080/17470218.2011.552730

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG & MEG.. Poster session presented at The Predictive Brain Conference, Marseille, France.

Brandl, S., Trusbak Haumann, N., Brattico, E., Vuust, P. & Grube, M. (2019). Chasing auditory rhythmic regularity processingin the EEG – and now MEG.. Poster session presented at MEG Nord, Jyväskylä, Finland.

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), [493]. https://doi.org/10.3390/foods9040493

Trusbak Haumann, N. (2022). Clinical applications of naturalistic MMN paradigms. 86. Abstract from The 9th Mismatch Negativity conference, Fukushima, Japan.

Petersen, B. (2017). Clinical applocations of music: The Sound of (Silence) Music. In Center for Music in the Brain : Annual Report 2016 (pp. 39-43) https://musicinthebrain.au.dk/fileadmin/user_upload/MIB_annual_report_for_web.pdf

Liu, C., Abu-Jamous, B., Brattico, E. & Nandi, A. (2015). Clustering consistency in neuroimaging data analysis. In IEEE Proceedings of 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2015 (pp. 1118-1122). IEEE.

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J., Gjedde, A. & Carlson, S. (2010). Cognitive control in auditory working memory is enhanced in musicians. P L o S One, 5(6), [11120]. https://doi.org/10.1371/journal.pone.0011120

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N. & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135. https://doi.org/10.1038/s41598-017-05425-7

Brattico, E., Jacobsen, T., De Baene, W., Glerean, E. & Tervaniemi, M. (2010). Cognitive vs. affective listening modes and judgments of music - An ERP study. Biological Psychology, 85(3), 393-409. https://doi.org/10.1016/j.biopsycho.2010.08.014

Brattico, E. (2017). Commentary on" Aesthetic Experience Explained by the Affect-Space Framework" by E. Schubert, AC North & DJ Hargreaves. Empirical Musicology Reviews, 11(3-4), 350-353. https://doi.org/10.18061/emr.v11i3-4.5572

Hansen, N. C., Dietz, M. & Vuust, P. (2017). Commentary: Predictions and the brain: how musical sounds become rewarding. Frontiers in Human Neuroscience, 11, [168]. https://doi.org/10.3389/fnhum.2017.00168

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

Haumann, N. T., Parkkonen, L., Kliuchko, M., Vuust, P. & Brattico, E. (2016). Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. Computational Intelligence and Neuroscience, 2016, 1-10. https://doi.org/10.1155/2016/7489108

Vuust, P., Liikala, L., Näätänen, R., Brattico, P. & Brattico, E. (2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 4(127), 2065-2077. https://doi.org/10.1016/j.clinph.2015.11.009

Chemi, T., Brattico, E., Fjorback, L. O. & Harmat, L. (2022). Conclusion: A beam of light to conclude with. In T. Chemi, E. Brattico, L. O. Fjorback & L. Harma (Eds.), Arts and Mindfulness Education for Human Flourishing (pp. 285-287). Taylor & Francis. Routledge Research in Arts Education https://doi.org/10.4324/9781003158790-21

Williamson, V. J. & Stewart, L. (2013). Congenital amusia. Handbook of Clinical Neurology, 111, 237-9. https://doi.org/10.1016/B978-0-444-52891-9.00024-5

Stewart, L. (2006). Congenital amusia. Current Biology, 16(21), R904-6. https://doi.org/10.1016/j.cub.2006.09.054

Stewart, L. & Walsh, V. (2002). Congenital amusia: all the songs sound the same. Current Biology, 12(12), R420-1.

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P. & Brattico, E. (2017). Connectivity patterns during music listening: Evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955. https://doi.org/10.1002/hbm.23565

Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G. & Carhart-Harris, R. L. (2017). Connectome-harmonic decomposition of human brain activity reveals dynamical repertoire re-organization under LSD. Scientific Reports, 7(1), [17661]. https://doi.org/10.1038/s41598-017-17546-0

Di Stefano, N., Vuust, P. & Brattico, E. (2022). Consonance and dissonance perception: A critical review of the historical sources, multidisciplinary findings, and main hypotheses. Physics of Life Reviews, 43, 273-304. https://doi.org/10.1016/j.plrev.2022.10.004

Tiihonen, M., Brattico, E., Maksimainen, J., Wikgren, J. & Saarikallio, S. (2017). Constituents of music and visual-art related pleasure - A critical integrative literature review. Frontiers in Psychology, 8(JUL), [1218]. https://doi.org/10.3389/fpsyg.2017.01218

Brattico, E., Naatanen, R. & Tervaniemi, M. (2001). Context effects on pitch perception in musicians and nonmusicians: Evidence from event-related-potential recordings. Music Perception, 19(2), 199-222.

Mårup, S. H., Møller, C. & Vuust, P. (2022). Coordination of voice, hands and feet in rhythm and beat performance. Scientific Reports, 12, [8046 ]. https://doi.org/10.1038/s41598-022-11783-8

Brattico, E., Tervaniemi, M., Valimaki, V., Van Zuijen, T. & Peretz, T. (2003). Cortical correlates of acquired deafness to dissonance. Annals of the New York Academy of Sciences, 158-160. https://doi.org/10.1196/annals.1284.019

Overath, T., Kumar, S., Stewart, L., von Kriegstein, K., Cusack, R., Rees, A. & Griffiths, T. D. (2010). Cortical mechanisms for the segregation and representation of acoustic textures. The Journal of neuroscience : the official journal of the Society for Neuroscience, 30(6), 2070-6. https://doi.org/10.1523/JNEUROSCI.5378-09.2010

Brattico, E. & Tervaniemi, M. (2010). Creativity in musicians: Evidence from cognitive neuroscience. In Studies in Systematic Musicology: Festschrift in Honor of Professor Albrecht Schneider (pp. 233-244). Verlag Peter Lang.

Morrison, S., Demorest, S. & Pearce, M. (2019). Cultural Distance: A Computational Approach to Exploring Cultural Influences on Music Cognition. In M. Thaut & D. Hodges (Eds.), Oxford Handbook of Music and the Brain Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198804123.013.3

Lumaca, M. & Baggio, G. (2017). Cultural Transmission and Evolution of Melodic Structures in Multi-generational Signaling Games. Artificial Life, 23(3), 406-423.

Stupacher, J., Witek, M. A. G., Vuoskoski, J. K. & Vuust, P. (2020). Cultural familiarity and individual musical taste differently affect social bonding when moving to music. Scientific Reports, 10, [10015]. https://doi.org/10.1038/s41598-020-66529-1

Niklassen, A. S., Ovesen, T., Fernandes, H. & Fjaeldstad, A. (2019). Danish Validation of Sniffin’ Sticks Olfactory Test for Threshold, Discrimination, and Identification. Poster session presented at Dansk Selskab for Oto-rhino-laryngologi, Hoved-Halskirurgi: DSOHH årsmøde, Nyborg, Denmark.

Ahrends, C., Stevner, A., Pervaiz, U., Kringelbach, M. L., Vuust, P., Woolrich, M. W. & Vidaurre, D. (2022). Data and model considerations for estimating time-varying functional connectivity in fMRI. NeuroImage, 252, [119026]. https://doi.org/10.1016/j.neuroimage.2022.119026

Perl, Y. S., Pallavicini, C., Ipiña, I. P., Kringelbach, M., Deco, G., Laufs, H. & Tagliazucchi, E. (2020). Data augmentation based on dynamical systems for the classification of brain states. Chaos, Solitons and Fractals, 139, [110069]. https://doi.org/10.1016/j.chaos.2020.110069

Abu-Jamous, B., Liu, C., Roberts, D. J., Brattico, E. & Nandi, A. (2017). Data-driven analysis of collections of big datasets by the Bi-CoPaM method yields field-specific novel insights. In Frontiers in Electronic Technologies Springer.

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

Rué-Queralt, J., Stevner, A., Tagliazucchi, E., Laufs, H., Kringelbach, M. L., Deco, G. & Atasoy, S. (2021). Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep. Communications Biology, 4(1), [854]. https://doi.org/10.1038/s42003-021-02369-7

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, [116816]. https://doi.org/10.1016/j.neuroimage.2020.116816

Young, K., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Depression alters movement in response to salient emotional sounds and in social interactions. Poster session presented at Neuroscience 2015, Chicago, IL, United States.

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

Kujala, T. & Brattico, E. (2009). Detrimental noise effects on brain's speech functions. Biological Psychology, 81(3), 135-143. https://doi.org/10.1016/j.biopsycho.2009.03.010

O'Kelly, J. & Bodak, R. (2016). Development of the music therapy assessment Tool for advanced Huntington’s disease: A pilot validation study. Journal of Music Therapy, 53(3), 232-256. https://doi.org/10.1093/jmt/thw006

Garrido, L., Eisner, F., McGettigan, C., Stewart, L., Sauter, D., Hanley, J. R., Schweinberger, S. R., Warren, J. D. & Duchaine, B. (2009). Developmental phonagnosia: a selective deficit of vocal identity recognition. Neuropsychologia, 47(1), 123-31. https://doi.org/10.1016/j.neuropsychologia.2008.08.003

Moorthigari, V., Carlson, E., Toiviainen, P., Brattico, E. & Alluri, V. (2020). Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.), Brain informatics (pp. 107-117). Springer. Lecture Notes in Computer Science Vol. 12241 https://doi.org/10.1007/978-3-030-59277-6_10

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923

Displaying results 101 to 150 out of 652

3

Revised 26.03.2021

-

Hella Kastbjerg