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Center for Music in the Brain

Our publications

Ajaj, T., Blankertz, B., Alter, K. & Grube, M. (2019). Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. Poster session presented at Annual Meeting of the German Neuroscience Foundation , Göttingen, Germany.

Clemente, A., Pearce, M. T., Skov, M. & Nadal, M. (2021). Evaluative judgment across domains: Liking balance, contour, symmetry and complexity in melodies and visual designs. Brain and Cognition, 151, [105729]. https://doi.org/10.1016/j.bandc.2021.105729

Olakunbi, D., Bamiou, D-E., Stewart, L. & Luxon, L. M. (2010). Evaluation of musical skills in children with a diagnosis of an auditory processing disorder. International Journal of Pediatric Otorhinolaryngology, 74(6), 633-6. https://doi.org/10.1016/j.ijporl.2010.03.008

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

Quiroga-Martinez, D. R., Basiński, K., Nasielski, J., Tillmann, B., Brattico, E., Cholvy, F., Fornoni, L., Vuust, P. & Caclin, A. (2022). Enhanced mismatch negativity in harmonic compared with inharmonic sounds. European Journal of Neuroscience, 56(5), 4583-4599. https://doi.org/10.1111/ejn.15769

Hansen, N. C., Højlund, A., Møller, C., Pearce, M. & Vuust, P. (2016). Enhanced feature integration in musicians: Expertise modulates the additivity of the MMNm response. Poster session presented at 14th International Conference on Music Perception and Cognition, San Francisco, United States.

Gugnowska, K., Novembre, G., Kohler, N., Villringer, A., Keller, P. E. & Sammler, D. (2022). Endogenous sources of interbrain synchrony in duetting pianists. Cerebral Cortex, 32(18), 4110-4127. https://doi.org/10.1093/cercor/bhab469

Omigie, D., Pearce, M. T., Williamson, V. J. & Stewart, L. (2013). Electrophysiological correlates of melodic processing in congenital amusia. Neuropsychologia, 51(9), 1749-62. https://doi.org/10.1016/j.neuropsychologia.2013.05.010

Mueller, M., Hoefel, L., Brattico, E. & Jacobsen, T. (2009). Electrophysiological correlates of aesthetic music processing comparing experts with laypersons. Annals of the New York Academy of Sciences, 355-358. https://doi.org/10.1111/j.1749-6632.2009.04846.x

Brattico, E., Jacobsen, T., De Baene, W., Nakai, N. & Tervaniemi, M. (2003). Electrical brain responses to descriptive versus evaluative judgments of music. Annals of the New York Academy of Sciences, 155-157. https://doi.org/10.1196/annals.1284.018

Brattico, E., Monitillo, V., Calabrese, S., Montrone, N., Nardulli, R., Multari, V. & Ambrosi, L. (2003). Effetti del rumore sui meccanismi corticali di elaborazione dei suoni linguistici. G Ital Med Lav Ergon, 25(2), 142-8.

Wong, W. W., Cabral, J., Rane, R., Ly, R., Kringelbach, M. L. & Feusner, J. D. (2021). Effects of visual attention modulation on dynamic functional connectivity during own-face viewing in body dysmorphic disorder. Neuropsychopharmacology, 46(11), 2030-2038. https://doi.org/10.1038/s41386-021-01039-w

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2016). Effects of single-dose intranasal oxytocin on recognition of basic emotions and complex mental states in facial expressions: A systematic review and meta-analysis. Psychosomatic Medicine, 78(3), A42. https://doi.org/10.1097/PSY.0000000000000343

Witek, M. A. G., Clarke, E. F., Kringelbach, M. L. & Vuust, P. (2014). Effects of polyphonic context, instrumentation, and metrical location on syncopation in music. Music Perception, 32(2), 201-217. https://doi.org/10.1525/MP.2014.32.2.201

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

Bro, M. L., Johansen, C., Vuust, P., Enggaard, L., Himmelstrup, B., Mourits-Andersen, T., Brown, P., d'Amore, F., Andersen, E. A. W., Abildgaard, N. & Gram, J. (2019). Effects of live music during chemotherapy in lymphoma patients: a randomized, controlled, multi-center trial. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 27(10), 3887-3896. https://doi.org/10.1007/s00520-019-04666-8

Danielsen, A., Waadeland, C. H., Sundt, H. G. & Witek, M. A. G. (2015). Effects of instructed timing and tempo on snare drum sound in drum kit performance. Acoustical Society of America. Journal, 138(4), 2301-2316. https://doi.org/10.1121/1.4930950

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).

Karageorghis, C. I., Lyne, L. P., Bigliassi, M. & Vuust, P. (2019). Effects of auditory rhythm on movement accuracy in dance performance. Human Movement Science, 67, [102511]. https://doi.org/10.1016/j.humov.2019.102511

Kliuchko, M., Vuust, P., Toiviainen, P., Tervaniemi, M., Bogert, B. & Brattico, E. (2015). Effects of active vs. passive exposure to a musical style: An MMN study with the musical multifeature paradigm.

Rayson, H., Parsons, C. E., Young, K. S., Goodacre, T. E. E., Kringelbach, M. L., Bonaiuto, J. J., McSorley, E. & Murray, L. (2017). Effects of Infant Cleft Lip on Adult Gaze and Perceptions of "Cuteness". Cleft Palate - Craniofacial Journal, 54(5), 562-70. https://doi.org/10.1597/16-015

Charquero-Ballester, M., Kleim, B., Vidaurre, D., Ruff, C., Stark, E., Tuulari, J. J., McManners, H., Bar-Haim, Y., Bouquillon, L., Moseley, A., Williams, S. C. R., Woolrich, M. W., Kringelbach, M. L. & Ehlers, A. (2022). Effective psychological therapy for PTSD changes the dynamics of specific large-scale brain networks. Human Brain Mapping, 43(10), 3207-3220. https://doi.org/10.1002/hbm.25846

Liu, C., Brattico, E., Abu-Jamous, B., Pereira, C. S., Jacobsen, T. & Nandi, A. K. (2017). Effect of Explicit Evaluation on Neural Connectivity Related to Listening to Unfamiliar Music. Frontiers in Human Neuroscience, 11, [611]. https://doi.org/10.3389/fnhum.2017.00611

Chan, R. C. K. & Kringelbach, M. L. (2016). Editorial: At Risk for Neuropsychiatric Disorders: An Affective Neuroscience Approach to Understanding the Spectrum. Frontiers in Behavioral Neuroscience, 10, [165]. https://doi.org/10.3389/fnbeh.2016.00165

Hansen, N. C., Wald-Fuhrmann, M. & Davidson, J. W. (2022). Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic. Frontiers in Psychology, 13, [910101]. https://doi.org/10.3389/fpsyg.2022.910101

Launay, J., Grube, M. & Stewart, L. (2014). Dysrhythmia: a specific congenital rhythm perception deficit. Frontiers in Psychology, 5, 18. https://doi.org/10.3389/fpsyg.2014.00018

Burunat, I., Alluri, V., Toiviainen, P., Numminen, J. & Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex, 57, 254-69. https://doi.org/10.1016/j.cortex.2014.04.012

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L. & Cabral, J. (2019). Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. NeuroImage, 199, 127-142. https://doi.org/10.1016/j.neuroimage.2019.05.060

Deco, G., Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., Aquino, K. M. & Fornito, A. (2021). Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape. Science Advances, 7(29), [eabf4752]. https://doi.org/10.1126/sciadv.abf4752

Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020). Dynamic coupling of whole-brain neuronal and neurotransmitter systems. Proceedings of the National Academy of Sciences of the United States of America, 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117

Lumaca, M., Vuust, P. & Dietz, M. (2019). Dynamic causal modelling of effective connectivity during music perception. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Niranjan, D., Toiviainen, P., Brattico, E. & Alluri, V. (2019). Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel & C. Shan (Eds.), Brain Informatics : 12th International Conference, BI 2019 Haikou, China, December 13–15, 2019 Proceedings (pp. 82-91). Springer. Lecture Notes in Computer Science Vol. 11976 LNAI https://doi.org/10.1007/978-3-030-37078-7_9

Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E-M., Vuust, P., Stein, A. & Kringelbach, M. L. (2017). Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women. Scientific Reports, 7(1), [1727]. https://doi.org/10.1038/s41598-017-01776-3

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, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Stewart, L. (2008). Do musicians have different brains? Clin Ther, 8(3), 304-8.

Heggli, O. A., Stupacher, J. & Vuust, P. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science, 8(11). https://doi.org/10.1098/rsos.210885

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

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

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Bruzzone, S. E. P., Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study. Scientific Reports, 12(1), [4746]. https://doi.org/10.1038/s41598-022-08521-5

Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), [13638]. https://doi.org/10.1038/s41598-019-50093-4

Stewart, L., Von Kriegstein, K., Bella, S. D., Warren, J. D. & Griffiths, T. D. (2008). Disorders of Musical Cognition. In The Oxford Handbook of Music Psychology Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199298457.013.0017

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, 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

Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose FMRI during real-world experiences: Principal component analysis vs. canonical correlation analysis. In ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 137-142)

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

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

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

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Hella Kastbjerg